maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
maximizeminimize
  • Search weather with AI - Chat GPT
Weather in Countries
About WHATWEATHER.today

Cartes vent, pluie et température animées, prévisions météo détaillées pour votre lieu.

Voir la météo actuelle de partout dans le monde sur What Weather.today

Notre site Web fournit différentes sources de prévisions météorologiques mondiales en ligne.

Prévisions météo à 10 jours pour des milliers de lieux dans le monde entier. Des cartes météo interactives pour tous les pays du monde.

The study of atmospheric phenomena has long intrigued scientists, meteorologists, and curious minds alike, as the intricate interplay of physical forces, chemical reactions, and dynamic energy exchanges in our planet’s atmosphere produces an astonishing array of conditions that shape human experience and natural ecosystems. Modern meteorology, which began with simple observations of the weather and evolved through centuries of scientific inquiry, now relies on an amalgamation of cutting‐edge instruments, sophisticated computer models, and vast networks of observational data that not only enable us to predict weather today with increasing accuracy but also provide extended insights into phenomena such as weather tomorrow and beyond. This synthesis of data is exemplified by systems like the weather radar, which uses radio waves to map precipitation patterns and storm movements, allowing meteorologists to issue timely alerts about imminent hazards and to design forecasts that integrate information from both ground-based observations and satellite imagery. In the early days of atmospheric research, observers noted that local variations in temperature, pressure, and humidity could drastically alter local conditions. These early observations eventually led to the development of the weather forecast, a practice that has become an indispensable component of modern society. Today, viewers and internet users alike can access live weather reports through dedicated outlets such as the weather channel and its many digital incarnations, which continuously update their data streams to ensure that citizens are informed about both routine changes and exceptional meteorological events. In many regions, detailed reports of weather today are complemented by real‐time alerts, where instruments such as the indianapolis weather radar and the indiana weather radar pinpoint the intensity and trajectory of precipitation, enhancing public safety during heavy storms and severe weather events. The United States, with its varied topography and climate zones, provides an ideal laboratory for understanding diverse weather patterns. For example, residents and researchers in the southeastern part of the country rely heavily on forecasts addressing alabama weather, mississippi weather, and florida weather, where the interaction between tropical influences and continental air masses creates a complex meteorological environment. In urban centers like birmingham weather in Alabama and chicago weather in the Midwest, the interplay between urban heat islands and surrounding natural landscapes further complicates forecasting models. Broadcasters such as wthr weather, wtok weather, and wdam weather have long served as critical sources of weather news and analysis, disseminating information that ranges from routine hourly weather updates to urgent bulletins about tornado watch conditions, which are periodically repeated as a precautionary measure during the height of storm season. Throughout the southeastern United States, cities like Atlanta and Nashville often experience rapid weather changes that challenge both forecasters and local emergency managers. Detailed reports on atlanta weather and weather nashville are crucial in these regions, especially when atmospheric instabilities signal the possibility of severe weather phenomena such as thunderstorms, flash floods, or even tornado outbreaks. In many cases, meteorologists working with the national weather service employ advanced tools like high-resolution weather radar systems to create animated weather map representations that visually depict storm progressions and potential threat zones. These maps, which are accessible to anyone searching for weather near me, have revolutionized local preparedness by enabling citizens to visualize and track impending weather disturbances in near real time. Not only do these technological advancements aid in forecasting and alerting communities about potentially dangerous conditions, but they also contribute to a broader understanding of regional climate variability. For instance, data from birmingham weather and georgia weather stations have been pivotal in identifying long-term trends associated with climate change, such as shifts in precipitation patterns and the frequency of weather storms tornadoes. In smaller communities like those in Tylertown, Mississippi—often referred to in meteorological bulletins as tylertown ms weather—the integration of localized observational data with national datasets allows for refined forecasts that factor in microclimatic nuances, thereby enhancing the overall accuracy of predictions. Similar progress is evident in urban centers where la weather and chicago weather conditions are monitored continuously by multiple agencies and broadcast on platforms like the weather channel, ensuring that even the most complex meteorological scenarios are communicated effectively. The integration of observational data from traditional sources with modern digital platforms has also spurred the evolution of live weather services. The advent of high-definition streaming and mobile applications means that individuals can now check weather hourly updates almost instantaneously, whether they are at home, in the office, or on the move. This technology is particularly beneficial in areas such as atlanta weather where rapid atmospheric changes necessitate immediate action. Moreover, the ability to access weather news from multiple sources—ranging from established networks like bbc weather to local broadcasters such as fox 5 weather and wdam weather—ensures that a diverse range of perspectives and data analyses are available to guide public decision-making during critical periods. In parallel with these technological advances, there has been significant progress in the scientific understanding of atmospheric dynamics. Detailed studies of weather forecast models have shown that incorporating data from multiple sources, including the ubiquitous weather radar and new-generation satellite sensors, dramatically improves the reliability of predictions. For instance, scientists studying indianapolis weather and indianapolis weather radar outputs have made significant strides in understanding the formation and evolution of mesoscale convective systems, which often give rise to extreme weather events. Such breakthroughs are not limited to urban centers alone; rural areas benefit as well from improved systems like the mississippi weather radar, which captures subtle variations in precipitation that might otherwise go unnoticed, thereby reducing the uncertainty associated with forecasts for both today weather and weather tomorrow. One of the most striking challenges faced by modern meteorology is the accurate prediction of severe weather phenomena. This has become increasingly relevant as climate change exacerbates atmospheric instability in many regions, leading to an uptick in events that are categorized under severe weather. In regions that frequently experience these extremes—such as parts of the southeastern United States—forecasters often issue repeated tornado watch advisories, which are essential for public safety and preparedness. The issuance of these warnings, sometimes multiple times a day, underscores the importance of continuous monitoring systems, including those operated by broadcasters like wtok weather and wthr weather, which relay crucial information to local communities in near real time. Additionally, specialized segments such as james spann weather live today and abc3340 weather live serve as platforms where experts provide in-depth analyses of ongoing atmospheric disturbances, ensuring that viewers receive a clear picture of potential risks and recommended precautions. Beyond traditional forecasting, many local stations now offer detailed, location-specific insights that cater to community needs. For instance, residents often search for weather near me when planning daily activities, and interactive online maps display data that originates from instruments as varied as high-resolution weather radar units and personal weather stations. This trend is evident in reports focusing on weather nashville and weather atlanta, where municipal services and local broadcasters coordinate to deliver personalized forecasts. In addition, tools that provide weather hourly updates have become an essential part of modern life, as they allow individuals to monitor rapidly evolving conditions and adjust their plans accordingly, whether they are following weather dayton ohio trends or updates from greenville sc weather. The reliability of these forecasts is bolstered by a network of trusted institutions and broadcast channels that continually refine their models and communication strategies. The role of the national weather service is paramount in this ecosystem, as it integrates data from diverse sources—including cutting-edge weather radar installations and satellite feeds—to issue comprehensive bulletins that serve as the backbone for all subsequent forecasts. Even in metropolitan areas like chicago weather, where urban factors add complexity to local atmospheric patterns, the interplay between traditional methods and modern technology ensures that residents receive accurate updates in a timely manner. Moreover, specialized channels such as the weather channel and bbc weather often collaborate with local networks, thereby creating a multilayered communication framework that reaches audiences through both visual and auditory media, including weather radio broadcasts. In addition to conventional forecasting techniques, emerging methodologies in climate modeling have enabled scientists to generate long-term outlooks that extend well beyond the next 24 hours. For example, detailed predictions of weather 10 days into the future are now available to the public, although such long-range forecasts are generally presented with a degree of uncertainty that reflects the inherent complexity of atmospheric dynamics. Nonetheless, the continued refinement of computer models—often using data assimilated from multiple instruments like indianapolis weather radar and mississippi weather radar—has gradually improved the reliability of these extended forecasts. These advancements are critical not only for daily planning but also for sectors such as agriculture, transportation, and emergency management, where accurate predictions of today weather, tomorrow weather, and even tomorrow's weather can have significant socioeconomic impacts. The evolution of forecasting is also deeply intertwined with the development of specialized terminology and operational protocols that help to communicate complex ideas in accessible language. When forecasters announce a tornado watch, for instance, they are conveying a situation in which atmospheric conditions are favorable for the formation of tornadoes, even if one has not yet been observed. This terminology is distinct from a tornado warning, which is issued only when a tornado has been sighted or detected by radar. Such distinctions are critical in ensuring that the public understands both the level of threat and the appropriate actions to take. The communication of these alerts is further enhanced by networks like abc3340 weather live and wdam weather, which not only inform viewers about immediate threats but also provide detailed explanations about phenomena such as weather storms tornadoes and weather storms and tornadoes—terms that encapsulate the chaotic interplay of wind, rain, and atmospheric instability that can lead to destructive events. While much of the focus in meteorology is dedicated to understanding and predicting acute phenomena, long-term climatological studies also play a pivotal role in shaping public policy and urban planning. For example, extensive research into alabama weather and mississippi weather has provided valuable insights into the shifting patterns of precipitation and temperature in these regions, which are critical for managing water resources, designing resilient infrastructure, and mitigating the impacts of climate change. These studies often employ advanced tools such as high-definition weather radar and intricate weather map analyses to track the subtle variations that accumulate over seasons and years. The resultant data not only enriches the scientific community’s understanding of atmospheric processes but also informs everyday decisions made by citizens and policymakers alike, ranging from the need to update weather radio systems in vulnerable areas to the implementation of improved building codes in cities that frequently experience severe weather events. In urban settings, the precision of localized forecasting is exemplified by the detailed reports provided by specialized stations and services. Cities like atlanta weather and weather athens ga benefit from a network of observation points that capture microclimatic variations—data that is then synthesized into actionable information disseminated through channels such as wtok weather and wbir weather. These services often provide segmented forecasts that break down conditions on an hourly weather basis, allowing residents to plan their activities with an understanding of not only the expected temperature and precipitation but also the potential for rapidly evolving phenomena such as a sudden tornado watch. In a similar vein, communities in regions such as weather dayton ohio and 33/40 weather areas rely on constant updates and sophisticated warning systems that are integrated with larger national and global data networks. The role of broadcast media in disseminating meteorological information cannot be understated. Beyond traditional television channels like weather channel and the weather channel, there has been a proliferation of digital media outlets and social networks dedicated to sharing weather news and updates. This evolution in media has made it possible for people in even the most remote areas to receive live weather reports, often through mobile applications that use real-time data streams sourced from agencies like the national weather service. For example, viewers in birmingham weather markets or those interested in georgia weather can receive comprehensive forecasts that blend data from local observations with national trends, ensuring that their decisions are based on the most current and reliable information available. Moreover, the rapid development of online tools has allowed individuals to personalize their meteorological experience. Searches for weather near me have become commonplace as people seek hyper-localized information that reflects their immediate surroundings. This localization is achieved by integrating geospatial data with broader climatological models, yielding a level of precision that was once unattainable. Users interested in weather nashville or atlanta weather can now view dynamic weather maps that not only highlight current conditions but also predict shifts in atmospheric dynamics over the next several hours. Such platforms often incorporate elements like google weather interfaces, which leverage the latest in data visualization to present a clear picture of both short-term and long-term forecasts. The evolution of forecasting is further enriched by specialized reports that focus on the intricacies of extreme events. When meteorologists report on nashville severe weather, for instance, they are often detailing a confluence of factors that include unstable atmospheric layers, strong wind shear, and rapid moisture convergence—all of which can lead to intense weather storms tornadoes and other disruptive occurrences. Such reports are typically accompanied by cautionary advisories, including repeated calls for a tornado watch, to ensure that residents remain vigilant. In these situations, experts may also reference past events and historical data, such as reports from tylertown ms weather or analyses conducted with indianapolis weather radar, to illustrate how similar patterns have manifested in previous years and what that might imply for current conditions. Beyond the immediate practical applications of forecasting, these developments also hold significant implications for our broader understanding of Earth’s climate system. Long-term studies that aggregate data from instruments like the mississippi weather radar and high-resolution weather radar systems have revealed subtle but critical shifts in global circulation patterns, ocean currents, and atmospheric chemistry. This research not only informs improvements in the weather forecast models used daily by local broadcasters but also contributes to the scientific discourse surrounding climate change, variability, and resilience. The interplay of these factors is evident in regions as varied as florida weather—where the subtropical climate is modulated by both tropical influences and continental air masses—and la weather, which is subject to rapid changes due to both local geography and broader synoptic systems. In urban centers such as chicago weather, the forecasting process is further complicated by factors including urban heat islands and complex interactions between built environments and natural landscapes. Here, data from indianapolis weather networks and indianapolis weather radar installations are cross-referenced with satellite observations and local sensors to provide a comprehensive analysis that not only predicts short-term events like today weather conditions but also extends to longer-range outlooks such as weather 10 days predictions. Such integrated systems are supported by a variety of media outlets, ranging from national institutions like the national weather service to local broadcasters who offer segmented insights through platforms including wtok weather and wthr weather. Complementing these technical advances, specialized services such as james spann weather live today and abc3340 weather live have become synonymous with authoritative real-time reporting during critical events. These services exemplify how broadcast meteorology has evolved to meet the demands of a digitally connected public, where the need for timely, accurate information is paramount. Their broadcasts often include detailed breakdowns of weather hourly updates, comprehensive weather map overlays, and in-depth interviews with experts, all of which help contextualize the often chaotic behavior of severe weather systems. By doing so, these outlets not only enhance public understanding but also contribute to a culture of preparedness that is essential in mitigating the impacts of extreme atmospheric phenomena. The integration of global datasets has further expanded the scope of modern meteorology. In addition to focusing on national trends, the field now encompasses international perspectives, drawing upon data from regions as diverse as melbourne weather in Australia, weather london in the United Kingdom, and weather islamabad in South Asia. In cities like London, where historical data and modern satellite imagery converge, platforms such as bbc london weather and met office weather work in tandem to produce forecasts that are both precise and contextually rich, reflecting the nuanced interplay between local microclimates and larger-scale weather systems. Such international collaborations have enriched our collective understanding of phenomena like tomorrow weather patterns, and even have led to the development of globally synchronized reporting standards that benefit users searching for google weather updates across different regions. Technological innovation has also facilitated the emergence of specialized apps and online services that cater to diverse user needs. For instance, many individuals now use personalized platforms to track weather near me with an unprecedented level of detail, integrating real-time data from sources like live weather radar systems with predictive models to generate hyper-local forecasts. These services not only provide comprehensive insights into immediate conditions but also offer extended outlooks that span from today weather to weather tomorrow, ensuring that users remain informed about evolving conditions at all times. Such applications are particularly valuable in regions characterized by high variability, where forecasts for atlanta weather and weather athens ga can shift rapidly in response to dynamic atmospheric processes. The scientific underpinnings of these forecasting systems are based on complex mathematical models that simulate atmospheric dynamics with remarkable precision. These models incorporate data from myriad sources—including ground stations, airborne sensors, and satellite imagery—to solve differential equations that describe fluid motion, thermodynamics, and radiative transfer. This rigorous approach is essential for predicting phenomena such as nashville severe weather, where even small variations in initial conditions can lead to dramatically different outcomes. Researchers working with data from sources like mississippi weather radar and indianapolis weather radar continually refine these models, integrating new observations to reduce uncertainty and improve the accuracy of both short-term and extended forecasts. The resulting improvements in model precision have profound implications not only for daily forecasts but also for our broader understanding of how factors like weather storms and tornadoes develop and evolve in complex environments. In addition to the computational challenges, effective communication of forecast information is equally critical. Broadcasters and digital platforms alike strive to balance technical accuracy with clarity and accessibility. When a broadcast includes information about tornado watch or issues a dangerous weather warning, the goal is to ensure that the message is both scientifically sound and readily understood by the public. This dual imperative is evident in programs such as abc3340 weather live and segments featuring james spann weather, where experts break down the nuances of a developing storm into digestible insights that can guide public behavior. Similarly, dedicated apps that offer hourly weather updates and detailed weather map overlays ensure that users have immediate access to critical information, whether they are planning a commute or seeking shelter during a tornado warning. On a regional level, localized forecasts play a pivotal role in community resilience. In cities like weather nashville and weather atlanta, localized models are tailored to capture the distinct characteristics of the urban environment, such as the effects of built-up areas on temperature and wind flow. These models are supported by an array of observational data, including outputs from indianapolis weather networks and mississippi weather stations, which provide granular details that enhance overall forecast accuracy. For residents who routinely check for weather near me, such precision is invaluable, as it allows them to anticipate local fluctuations in conditions that might otherwise be obscured by broader regional trends. The interplay between global models and localized data ensures that forecasts remain relevant and actionable, whether the concern is for today weather conditions or for predictions spanning weather 10 days into the future. The continued evolution of meteorological instrumentation and methodology has also led to the emergence of new broadcast channels and specialized reporting services. For instance, stations like wtok weather and wthr weather have carved out a niche by delivering hyper-local content that complements national broadcasts from entities such as the weather channel and bbc weather. These stations not only focus on day-to-day variations in weather forecast outputs but also place a strong emphasis on understanding the underlying physical processes that drive weather phenomena. Their programming often delves into the science behind weather radar technology, explaining how radar beams reflect off precipitation particles to create detailed images of storm structures and intensity gradients. This educational approach, coupled with real-time reporting on conditions such as live weather, provides viewers with both immediate situational awareness and a deeper appreciation for the complexities of atmospheric science. A further dimension of modern meteorology is the international exchange of data and expertise. Networks in Europe, for example, have made substantial contributions to the field by developing advanced forecasting models that are now used in conjunction with data from North American sources. In the United Kingdom, services like weather london, london weather, and met office weather integrate local observations with broader synoptic patterns to produce forecasts that are as reliable as they are detailed. In parallel, research institutions in Australia and New Zealand—where melbourne weather and wellington weather are monitored closely—have developed innovative techniques that enhance the accuracy of satellite-derived measurements. This global collaboration is further enriched by contributions from South Asia and the Middle East, where platforms providing weather islamabad and rawalpindi weather data offer insights into monsoonal patterns and other region-specific phenomena that influence global circulation models. The complexity of atmospheric phenomena is further underscored by the interplay between various forms of energy exchange. Radiative processes, latent heat release, and turbulent mixing are just a few of the mechanisms that govern the evolution of weather systems, and they are all accounted for in modern weather forecast models. Advanced research has demonstrated that even subtle variations in solar radiation or the distribution of aerosols can have significant implications for severe weather events, leading to phenomena such as weather storms tornadoes or weather storms and tornadoes that pose substantial risks to human populations and infrastructure. As scientists refine these models using high-resolution inputs from instruments like the mississippi weather radar and indianapolis weather radar, our ability to predict not only the magnitude but also the precise timing of such events continues to improve, thereby enhancing the effectiveness of emergency response measures. The dissemination of this intricate scientific knowledge to the general public has also undergone significant transformation. The advent of digital media has enabled broadcasters to provide immediate, interactive updates that demystify complex meteorological phenomena. For instance, services offering live weather radar views allow users to observe storm evolution in near real time, while applications that aggregate data from multiple sources—such as google weather—offer comprehensive visualizations of current and predicted conditions. These platforms have become indispensable tools for individuals who require precise and localized information, as evidenced by the frequent use of search queries like weather near me or weather nashville by concerned citizens and emergency managers alike. As forecasting methods continue to evolve, the integration of artificial intelligence and machine learning is poised to revolutionize the field even further. Advanced algorithms can now process enormous datasets from diverse sources, identify subtle patterns, and generate predictive models that account for the non-linear dynamics inherent in atmospheric systems. This synergy between human expertise and computational power is exemplified by the continuous improvement in today weather predictions and extended outlooks such as weather 10 days forecasts. Moreover, these innovations have enabled a more nuanced understanding of complex weather events, including those that necessitate repeated alerts like tornado watch, which are now issued with greater precision and lead time than ever before. The interconnected nature of today’s meteorological networks also ensures that insights gained from one region can benefit another. For example, research into alabama weather patterns has revealed connections to broader atmospheric oscillations that affect regions as far-flung as mississippi weather and florida weather. Similarly, urban centers such as la weather and chicago weather benefit from cross-referencing data with neighboring locales to refine their short-term forecasts. This collaborative approach is further supported by institutions such as the national weather service, whose mandates extend beyond mere prediction to encompass public education and disaster preparedness. In doing so, they facilitate a feedback loop wherein the latest scientific discoveries are quickly incorporated into operational models that serve communities across the nation. In addition to terrestrial applications, advances in remote sensing have expanded our capacity to monitor weather from space, providing a truly global perspective on atmospheric dynamics. Satellites equipped with high-resolution sensors capture a myriad of data points that are then relayed to forecasting centers worldwide, enriching models that produce outputs such as weather forecast updates and detailed weather map representations. This global network is particularly evident in the way that information is shared between international agencies: for instance, bbc london weather and met office weather teams in the United Kingdom routinely exchange data with counterparts in North America, where channels like abc3340 weather live and fox 5 weather ensure that public advisories are both timely and accurate. These collaborative efforts help to ensure that even phenomena with rapid onsets, such as those that prompt tornado watch or tornado warning alerts, are communicated efficiently to minimize risk and optimize public safety. Furthermore, the influence of technological advancements on our understanding of climate variability is profound. Longitudinal studies that examine trends in weather forecast data over decades have provided critical insights into how factors like greenhouse gas concentrations and deforestation can alter severe weather patterns over time. This research has been instrumental in shaping policies and preparedness measures at local, national, and even international levels. For instance, urban planners in metropolitan areas like weather nashville and atlanta weather increasingly incorporate projections derived from high-resolution weather radar data into infrastructure design, ensuring that buildings and transportation networks are resilient in the face of extreme events. These proactive measures are bolstered by the work of local media outlets—such as those reporting wtok weather, wthr weather, and wdam weather—which continuously update the public about changing conditions and long-term climate trends. In regions where rapid weather changes are the norm, such as areas monitored for nashville severe weather or weather athens ga, the interplay between predictive models and real-time observation is especially critical. Sophisticated forecasting tools allow meteorologists to detect subtle shifts in atmospheric pressure and moisture levels that may herald the onset of disruptive weather. These tools, which include both traditional instruments and digital innovations, enable the seamless integration of localized observations with broader synoptic patterns, thereby enhancing the overall reliability of forecasts. For example, stations that provide updates on weather dayton ohio conditions often use data from both the indianapolis weather network and specialized sensors deployed in their own regions, ensuring that forecasts remain precise and actionable. This multi-tiered approach is mirrored in many modern applications, from mobile apps that display live weather feeds to online platforms that compile updates from diverse sources such as wtok weather and wthr weather. As our ability to predict and analyze weather continues to improve, so too does our capacity to communicate critical information to a global audience. This is exemplified by the widespread availability of channels dedicated to both local and international weather reporting. For instance, while local stations provide detailed insights into conditions such as birmingham weather and georgia weather, international networks expand the conversation by covering areas such as weather london, london weather, and bbc london weather. These networks often employ a variety of communication methods, from traditional television broadcasts to interactive online maps and real-time weather radio updates, ensuring that audiences receive a comprehensive and up-to-date picture of current conditions. In doing so, they facilitate a greater public understanding of the myriad factors that influence the weather on both local and global scales. The convergence of diverse data sources, technological innovation, and interdisciplinary research continues to push the boundaries of meteorology. Cutting-edge algorithms, enhanced by machine learning techniques, analyze petabytes of data from instruments such as the mississippi weather radar and indianapolis weather radar, refining forecasts that predict not only routine conditions like today weather and weather tomorrow but also extreme events that demand urgent public attention. For example, when models indicate the potential for tornado watch conditions, alerts are rapidly disseminated via multiple channels including wtok weather, wthr weather, and even specialized updates such as james spann weather live today and abc3340 weather live. This integrated network of sensors, satellites, and broadcast systems ensures that whether one is monitoring weather near me or accessing data on indianapolis weather, the information is both precise and timely. In the realm of international meteorology, the exchange of observational data and forecasting techniques has led to the development of comprehensive global models that incorporate regional idiosyncrasies. For instance, European meteorological agencies that produce met office weather reports work in tandem with counterparts in North America to refine their predictive models. These models, which are calibrated using data from sources as varied as bbc weather in the United Kingdom and abc 33/40 weather in the United States, offer an unparalleled level of detail that spans everything from weather 10 days forecasts to minute-by-minute hourly weather updates. This global perspective is particularly important in an era marked by rapid climate change, as it allows scientists to detect patterns that might be invisible in isolated datasets but become evident when viewed in aggregate. Local variations in climate are equally significant, and detailed case studies have shown that the unique geography and urban structure of certain areas can give rise to distinctive weather patterns. For example, in metropolitan regions such as chicago weather and la weather, the interaction between built environments and natural atmospheric processes often results in microclimates that are markedly different from those in surrounding rural areas. These urban microclimates are meticulously monitored by local broadcasters and meteorological services alike, with updates frequently provided by networks such as wtok weather and wdam weather. Simultaneously, the use of advanced weather radar systems in these areas has enabled forecasters to discern the intricate details of precipitation dynamics, including the formation of weather storms tornadoes and other convective phenomena that have historically posed significant challenges to public safety. Even within smaller communities, the impact of advanced forecasting is evident. Towns that might have once relied solely on rudimentary forecasts now benefit from sophisticated data provided by systems like the mississippi weather radar and comprehensive weather map interfaces. Residents of such communities, often in regions referenced in local bulletins as tylertown ms weather, can now access detailed and accurate predictions that allow them to plan for everything from daily activities to emergency responses during extreme events. The improved quality of these forecasts, which are disseminated through a variety of platforms including live weather streams and weather radio broadcasts, represents a significant leap forward in public safety and community resilience. Technological progress has also spurred the development of mobile applications that provide hyper-localized weather information to users around the clock. Whether checking weather near me on a smartphone or consulting interactive weather map visualizations on a tablet, individuals can now access a wealth of data that was once the exclusive domain of professional meteorologists. These applications integrate data from a host of sources, including google weather and bbc weather, to present users with an intuitive and comprehensive view of current conditions. For those planning their day or preparing for a long weekend, this often includes detailed information such as today weather, weather forecast updates, and even extended outlooks that span weather 10 days into the future. Global travel and commerce have also benefited from these technological advances. International travelers frequently consult platforms offering weather in london, london weather, or weather in paris to plan their itineraries and ensure that adverse conditions do not disrupt their journeys. In many cases, airports and transportation hubs integrate data from international forecasting agencies, which draw upon resources like bbc london weather, met office weather, and uk weather to provide passengers with reliable updates. Similarly, tourism boards in destinations such as lanzarote and lanzarote weather have come to rely on precise forecasts that inform visitors about seasonal variations and help manage the flow of tourist traffic during periods of dangerous weather warning. This interconnected network of global weather information is further enhanced by local reports, such as those covering liverpool weather, weather york, and turkey weather, which provide visitors with the granular details necessary for making informed decisions while abroad. Specialized regions with unique climatic conditions are also given focused attention in modern meteorology. For instance, in parts of Europe where weather variability is pronounced, detailed forecasts covering weather edinburgh, glasgow weather, and weather manchester have become essential. These forecasts often combine data from local observation stations with broader national models to generate outputs that capture the full spectrum of atmospheric variability. Localized segments such as weather bristol and weather benidorm further illustrate the diversity of weather phenomena experienced across relatively short distances, emphasizing the importance of tailored forecasting systems that address specific regional needs. In many instances, long-term climatological research provides the foundation for both improved forecasting and enhanced public awareness. Studies that analyze decades of data from instruments such as alabama weather radar and indianapolis weather radar have revealed significant shifts in regional climate patterns, trends that underscore the importance of updating our models to reflect current realities. These findings are not only vital for academic research but also have practical implications for local governments and emergency response teams, who must plan for a future in which extreme conditions—ranging from routine weather forecast updates to urgent alerts like tornado watch and tornado warning—may become increasingly common. The resulting body of work, which often appears in detailed reports disseminated via platforms such as abc3340 weather and james spann weather, provides the scientific underpinnings necessary to improve our collective resilience in the face of unpredictable and evolving atmospheric threats. Furthermore, as the scientific community continues to refine its understanding of energy transfer, moisture dynamics, and atmospheric circulation, new forecasting paradigms emerge that promise to further enhance the accuracy and reliability of weather predictions. By integrating insights from fields as diverse as oceanography, climatology, and even astrophysics, researchers are constructing multi-dimensional models that capture the subtleties of weather storms and tornadoes in unprecedented detail. These models have been instrumental in explaining phenomena such as rapid convective development and the sudden intensification of storms, thereby providing the rationale behind repeated advisories such as tornado watch and the issuance of dangerous weather warning notices. Moreover, the integration of these models with real-time data streams—routinely sourced from both terrestrial instruments and satellite arrays—ensures that forecasts remain as dynamic and adaptable as the atmosphere itself. The human element in meteorological science is equally important. Expert meteorologists, whose work is broadcast on channels like wtok weather, wthr weather, and wdam weather, serve not only as interpreters of complex data but also as educators who explain the implications of evolving weather patterns to the general public. When these professionals discuss nashville severe weather or detail the nuances of weather storms tornadoes on air, they provide essential context that enables viewers to grasp the potential impact of meteorological phenomena on everyday life. In doing so, they reinforce the importance of preparedness and resilience in the face of unpredictable atmospheric events, ensuring that communities are better equipped to respond to challenges ranging from routine today weather fluctuations to extraordinary occurrences that span multiple days, such as weather 10 days forecasts. The influence of advanced forecasting methods extends even to the realm of emergency management and urban planning. Decision-makers increasingly rely on detailed, location-specific data—including updates on weather near me and specialized reports like weather athens ga or weather dayton ohio—to design infrastructure and allocate resources in ways that mitigate the impact of severe events. Urban centers, in particular, benefit from the granular data provided by networks such as indianapolis weather and mississippi weather, as these inputs help to optimize evacuation routes, manage traffic during adverse conditions, and implement building codes that are resilient against phenomena like severe weather. The integration of these advanced forecasting techniques into public policy is a testament to the power of modern meteorology to not only predict atmospheric events but also to transform societal responses to the natural environment. As we look to the future, the potential for further breakthroughs in weather prediction remains vast. Emerging research into the microphysical processes that govern cloud formation and precipitation, combined with the ever-expanding computational power available to scientists, promises to yield models that are even more accurate and responsive than those in current use. Already, initiatives involving live weather radar systems, such as those that integrate data from mississippi weather radar and indianapolis weather radar, are demonstrating that real-time, high-resolution data can significantly reduce forecast uncertainty, even in complex meteorological scenarios. These advancements are likely to be reflected in the next generation of forecasting platforms, where users will enjoy even more precise updates—from weather hourly insights to extended outlooks like weather 10 days—delivered through familiar interfaces including google weather and dedicated mobile applications. The global nature of weather as a scientific discipline is reflected in the diverse range of regional forecasts that are now readily available to users around the world. For instance, while local viewers might be concerned with birmingham weather or georgia weather in the United States, audiences in other parts of the world can access detailed forecasts for weather london, london weather, and bbc london weather in the United Kingdom. In parallel, nations such as Turkey and Spain offer comprehensive outlooks that cover everything from turkey weather and lanzarote weather to detailed analyses of barcelona weather april conditions, ensuring that travelers and residents alike are well informed about local and regional atmospheric patterns. In these contexts, specialized bulletins such as weather in paris and weather in london provide not only immediate forecasts but also historical perspectives that enrich our understanding of long-term climate trends and seasonal variability. Even as weather forecasting becomes increasingly sophisticated, the fundamental challenges of communicating complex scientific information to a diverse public remain. The need to translate technical jargon into accessible language is perhaps best exemplified by the use of everyday terms such as today weather, tomorrow weather, and live weather, which are designed to distill complex meteorological data into easily digestible information. Whether delivered by traditional television broadcasters like the weather channel or through digital platforms that incorporate interactive features and real-time data visualizations, these communications ensure that the benefits of advanced meteorological science are shared widely and effectively. In doing so, they help bridge the gap between high-level scientific research and practical, everyday decision-making, empowering individuals to respond to the challenges posed by dynamic atmospheric conditions. Moreover, the democratization of weather data has facilitated an unprecedented level of public engagement with scientific processes. Amateur meteorologists, hobbyists, and even schoolchildren now have access to detailed datasets and forecasting tools that were once the exclusive domain of professionals. This widespread availability of information, ranging from bbc weather updates to regional insights such as weather benidorm and worcester weather, has fostered a more informed and scientifically literate public. In many communities, local discussion groups and online forums now share insights drawn from data provided by stations like abc3340 weather and abc 33/40 weather, creating a dynamic dialogue that further enriches our collective understanding of atmospheric phenomena. As scientific inquiry and technological innovation continue to drive the evolution of meteorology, it is clear that the field will remain at the forefront of efforts to understand and mitigate the impacts of climate variability. By integrating diverse data sources—from the precision of indianapolis weather radar systems to the broad reach of international networks like bbc weather bedford, bbc weather chelmsford, and bbc weather middlesbrough—researchers are developing a more holistic understanding of the forces that shape the weather. This integrated approach not only improves the accuracy of weather forecast models but also provides the necessary context to appreciate the complex, interrelated systems that govern our planet’s climate. In doing so, it fosters a more resilient society, one that is better equipped to adapt to the challenges posed by everything from routine weather today variations to the extraordinary phenomena highlighted by tornado watch, tornado warning, and dangerous weather warning alerts. Ultimately, the synthesis of advanced technology, rigorous scientific research, and effective communication strategies has ushered in a new era of meteorology. This era is characterized by a seamless integration of data from sources as diverse as wtok weather, wthr weather, and wdam weather—each contributing to a robust, multidimensional understanding of atmospheric dynamics. Whether one is tracking weather nashville trends, consulting updates on weather athens ga, or following comprehensive analyses of weather dayton ohio, the modern forecast is a testament to human ingenuity and the relentless pursuit of knowledge. As communities worldwide continue to grapple with the challenges of climate change and increasingly unpredictable weather patterns, the role of advanced forecasting and real-time communication—embodied in systems like live weather radar and google weather—will remain indispensable. In addition to these technological and scientific developments, the human dimension of meteorology continues to drive forward innovation in the field. Experts like james spann weather and seasoned broadcasters associated with abc3340 weather live have become trusted voices, providing not only updates on weather forecast details but also context for the complex interplay of forces that produce severe weather events. Their insights help demystify the elaborate processes behind phenomena such as weather storms tornadoes and weather storms and tornadoes, enabling the public to appreciate both the beauty and the potential danger inherent in atmospheric dynamics. A further testament to the evolution of forecasting is the expansion of global meteorological networks. For example, reports from regions such as rawalpindi weather and cincinnati weather illustrate how far-reaching the exchange of data has become, linking local observations to a broader global context. Similarly, specialized segments covering weather islamabad, christchurch weather, and wellington weather demonstrate that despite geographic differences, the fundamental principles of meteorology remain universally applicable. This universality is further underscored by the consistent use of advanced instruments such as alabama weather radar and mississippi weather radar, which serve as critical tools for capturing real-time data across diverse climatic regions. The convergence of these varied threads—technological innovation, scientific research, and effective communication—has not only advanced our ability to predict and respond to atmospheric events but also deepened our appreciation for the inherent complexity of the weather. Whether it is the detailed weather forecast provided for today weather conditions or the extended outlooks that span weather 10 days into the future, each prediction represents a culmination of decades of research, countless hours of observation, and the tireless work of dedicated professionals who strive to safeguard lives and property against the unpredictable whims of nature. As our understanding of atmospheric processes continues to expand, it becomes increasingly clear that the future of meteorology lies in the seamless integration of cutting-edge technology with traditional observational wisdom. The ongoing refinement of computational models, the incorporation of high-resolution data from instruments like the indianapolis weather radar and mississippi weather radar, and the continued commitment to real-time data sharing via platforms such as live weather radar and google weather all point to a future where forecasts will become even more precise and actionable. This transformation will undoubtedly benefit not only those who rely on accurate forecasts for daily planning but also communities that face the brunt of extreme events, whether under the banner of nashville severe weather or the repeated advisories of tornado watch issued by local agencies. Moreover, the collaborative efforts between local and international meteorological organizations have fostered a spirit of shared inquiry and mutual support. The exchange of data and expertise among institutions such as the national weather service, bbc weather, and met office weather ensures that advances in one part of the world can benefit regions thousands of miles away. This interconnected network is vital for addressing global challenges such as climate change, as the phenomena that drive weather forecast uncertainties are rarely confined by national boundaries. By leveraging insights from diverse sources—whether it is detailed reports on weather nashville, comprehensive updates on atlanta weather, or international overviews from london weather and weather in paris—the global meteorological community is better positioned to understand, anticipate, and mitigate the impacts of a rapidly changing climate. The multifaceted nature of modern meteorology is also evident in the specialized language and terminology that have emerged to describe various weather phenomena. Terms such as today weather, tomorrow weather, and live weather have become part of the everyday lexicon, providing concise yet powerful summaries of complex atmospheric conditions. Similarly, designations like tornado watch and tornado warning encapsulate the urgency and precision required to communicate imminent risks, while phrases like weather storms tornadoes and weather storms and tornadoes serve to remind us of the formidable energy contained within nature’s most violent outbursts. These terms are not merely labels; they represent the culmination of extensive scientific research and the collective wisdom of generations of meteorologists. In light of these advances, it is evident that the field of meteorology has entered a transformative era. As we continue to harness the power of modern technology and deepen our scientific understanding, the ability to predict and respond to atmospheric phenomena will only improve. Whether it is the precision of indianapolis weather radar, the reliability of weather forecast models used by broadcasters like the weather channel, or the personalized updates provided by platforms offering weather near me insights, the tools at our disposal have never been more powerful or more accessible. This convergence of technology, science, and communication ultimately serves a singular purpose: to help us better navigate a world where the weather plays an ever-increasing role in shaping our daily lives. Even as we celebrate these achievements, the challenges that lie ahead are formidable. With climate change altering long-established weather patterns, the need for advanced forecasting becomes even more critical. Whether monitoring alabama weather, tracking florida weather trends, or analyzing data from birmingham weather stations, researchers must continually adapt their models to account for new variables and emerging trends. The incorporation of additional datasets—from the detailed readings of indianapolis weather networks to the extensive archives maintained by the national weather service—ensures that our forecasts remain robust, reliable, and reflective of the true state of the atmosphere. In this context, every technological breakthrough, every new data point from a weather radar, and every update provided through platforms such as live weather or google weather contributes to a growing body of knowledge that is critical for safeguarding lives and property. Furthermore, the evolving nature of weather itself demands that meteorologists remain agile and innovative. The integration of traditional observational techniques with modern data analytics has paved the way for an era of unprecedented forecasting accuracy. Whether analyzing the rapid developments that characterize nashville severe weather or the slow-moving patterns that dominate weather 10 days forecasts, the methodologies employed today are more sophisticated and responsive than ever before. The interplay between technological innovation and empirical observation, as demonstrated by the widespread use of instruments like the mississippi weather radar and indianapolis weather radar, represents a fundamental shift in our ability to understand and predict atmospheric processes. In conclusion, the ongoing evolution of meteorological science, driven by advances in technology, enhanced computational models, and a commitment to public education, is reshaping our understanding of the weather in profound and lasting ways. Whether it is through real-time updates provided by platforms such as abc3340 weather live, detailed analyses of weather forecast data, or interactive visualizations on weather map interfaces, the tools and techniques of modern meteorology are transforming how we perceive and interact with the natural world. From the routine observations of today weather to the complex warnings issued during a tornado watch or tornado warning, every aspect of our interaction with atmospheric phenomena is informed by a rich legacy of scientific inquiry and technological innovation. As we continue to face the challenges of a changing climate and increasingly variable weather patterns, the collaborative efforts of meteorologists around the globe—whether reporting on atlanta weather, weather nashville, or even international updates such as weather in paris and london weather—will remain essential for ensuring that society is both well-informed and well-prepared. Indeed, the journey from rudimentary observations to the sophisticated, data-driven forecasts of today is a testament to the remarkable progress that has been made in the field of meteorology. The integration of high-resolution weather radar systems, the seamless sharing of data through networks like the national weather service, and the commitment to real-time reporting on platforms such as wtok weather, wthr weather, and wdam weather have all contributed to an era of unprecedented clarity and precision in weather forecasting. As we continue to build on these achievements and look forward to new horizons in atmospheric science, the importance of understanding the weather—in all its complexity and wonder—remains as vital as ever. james spann weather live today, abc3340 weather live, and abc3340 weather broadcasts serve as a reminder that behind every forecast is a wealth of scientific expertise and a dedication to public service that transcends geographical boundaries. In every region—from rawalpindi weather and cincinnati weather to weather islamabad, christchurch weather, and wellington weather—the same principles of atmospheric dynamics apply, and the same rigorous standards of measurement and analysis are upheld. The reliability of indianapolis weather reports, the precision of alabama weather radar systems, and the detailed updates provided by channels like bbc weather all contribute to a global tapestry of knowledge that informs both our daily decisions and our long-term planning. As weather patterns continue to evolve in response to global climatic shifts, the role of advanced forecasting will only grow in importance. Researchers and practitioners alike must remain vigilant, continually integrating new data from sources such as mississippi weather, la weather, chicago weather, and birmingham weather into their models. Whether analyzing the rapid developments that trigger repeated tornado watch advisories or interpreting the subtle signals of changing atmospheric pressure that forecast tomorrow weather conditions, the commitment to scientific rigor and public safety is unwavering. In this dynamic and ever-changing landscape, it is clear that the future of meteorology will be shaped by our ability to innovate, collaborate, and communicate complex scientific ideas in ways that are both accessible and actionable. From the detailed analyses provided by weather channel and the weather channel to the personalized insights offered by platforms that report weather near me, every facet of modern meteorology reflects a deep commitment to understanding and mitigating the forces that drive the weather. As our forecasting tools become more precise and our communication networks more integrated, we can look forward to a future where the challenges posed by extreme events—be they the rapid onsets of nashville severe weather or the sustained impacts of shifting climatic trends—are met with a level of preparedness and resilience that is truly remarkable. Finally, it is essential to recognize that the evolution of weather forecasting is not merely a triumph of technology and science; it is also a testament to the enduring human spirit of inquiry and innovation. The painstaking work of assembling data from indianapolis weather radar, analyzing mississippi weather trends, and synthesizing global observations into coherent models is a tribute to our collective determination to understand and predict the complexities of the weather. As we move forward into an uncertain future, the lessons learned from decades of research—reflected in every weather forecast, every live weather update, and every urgent tornado watch announcement—will continue to guide us, ensuring that we are better prepared to face the challenges of a changing climate. In summary, the multifaceted realm of meteorology stands as a testament to human ingenuity and the relentless pursuit of knowledge. From the earliest days of simple observations to the modern era of real-time data analysis and global collaboration, every aspect of the weather—whether it be today weather, weather tomorrow, or extended weather 10 days forecasts—embodies a journey of discovery, resilience, and continuous improvement. Through the integration of advanced technologies like weather radar, the precision of instruments such as the alabama weather radar and indianapolis weather radar, and the dissemination of critical updates via channels like wtok weather, wthr weather, and wdam weather, we have transformed our understanding of atmospheric processes and enhanced our ability to respond to the challenges they present. The legacy of this scientific endeavor is reflected not only in the accuracy of our weather forecast models and the effectiveness of our public safety announcements—such as those highlighting severe weather, tornado watch, and tornado warning conditions—but also in the vibrant, interconnected network of broadcasters, researchers, and enthusiasts who continue to explore the mysteries of the weather. With every update on weather nashville, every detailed mapping of weather map data, and every personalized inquiry for weather near me, we are reminded that the study of atmospheric phenomena is both a collective responsibility and an ongoing journey of discovery. As we continue to face an era marked by rapid technological change and increasingly dynamic climate conditions, the importance of maintaining and advancing our meteorological capabilities cannot be overstated. It is a field that touches every aspect of modern life, from the everyday decision of checking today weather before leaving home, to the critical, life-saving measures implemented in response to dangerous weather warning alerts. Whether you are tracking atlanta weather, following updates on weather athens ga, or consulting detailed forecasts for weather dayton ohio, the wealth of information available today is a direct result of decades of scientific progress and the unwavering dedication of countless individuals working across the globe. In this context, the integration of diverse data sources—from the precision of live weather radar and weather radar systems to the intuitive interfaces of applications like google weather—has revolutionized the way we perceive and interact with atmospheric information. This revolution is evident not only in the enhanced accuracy of weather forecast models but also in the improved ability of local communities to respond to extreme events, whether through the timely issuance of tornado watch advisories or the continuous monitoring of evolving conditions by networks like wtok weather and wthr weather. Moreover, the global exchange of meteorological data has fostered a deeper appreciation of the interconnected nature of our planet’s climate system. International collaboration, as seen in the integration of data from bbc weather, bbc london weather, and met office weather, ensures that our understanding of weather in london, london weather, weather in paris, and other international centers remains as current as it is comprehensive. Regions as varied as liverpool weather, weather york, turkey weather, and lanzarote weather are now part of a global mosaic that informs everything from local emergency planning to long-term climate policy. Ultimately, the narrative of modern meteorology is one of progress, collaboration, and an unyielding commitment to uncovering the mysteries of the weather. Whether it is through the meticulous analysis of weather forecast data, the rapid dissemination of live weather updates, or the engaging and informative broadcasts provided by outlets like abc3340 weather live and james spann weather live today, every effort is aimed at ensuring that humanity remains informed, prepared, and resilient in the face of nature’s ever-changing tapestry. The weather is a topic of endless fascination and importance, influencing everything from our daily routines to global economies. Whether you're planning a weekend getaway, preparing for a workday, or simply curious about the atmospheric conditions, understanding the weather is crucial. In this comprehensive exploration, we’ll delve into various aspects of weather forecasts, weather radars, and how different regions experience weather today and weather tomorrow. From NY weather to Florida weather, and from weather NYC to weather in Melbourne, we’ll cover it all. We’ll also explore tools like Google Weather, Weather Underground, and The Weather Channel, as well as specific forecasts such as weather 10 days, weather hourly, and weather near me. Let’s embark on this meteorological journey. Understanding Weather Forecasts and Weather Radars A weather forecast is a prediction of atmospheric conditions for a specific time and location. These forecasts are generated using complex computer models that analyze data from satellites, weather radars, and ground-based observations. The accuracy of a weather forecast depends on the quality of the data and the sophistication of the models. For instance, The Weather Channel and Weather Underground are renowned for their detailed and reliable forecasts. These platforms provide weather hourly updates, weather 10 days outlooks, and even weather radar images that show real-time precipitation and storm movements. Weather radars are essential tools for meteorologists. They emit radio waves that bounce off precipitation particles, providing information about the intensity and movement of storms. This technology is particularly useful for tracking severe weather events like hurricanes, tornadoes, and thunderstorms. For example, during hurricane season, Florida weather forecasts rely heavily on weather radar data to predict the path and impact of storms. Similarly, NY weather forecasts use radar to monitor snowstorms and blizzards that can disrupt life in weather NYC. Regional Weather Variations: From Chicago Weather to LA Weather Different regions experience vastly different weather patterns. Let’s start with Chicago weather, known for its extreme seasonal variations. Winters in Chicago are harsh, with heavy snowfall and sub-zero temperatures, while summers are hot and humid. The weather forecast for Chicago often includes warnings about lake-effect snow, which occurs when cold air passes over the warmer waters of Lake Michigan, leading to intense snowfall. On the other hand, LA weather is characterized by its Mediterranean climate, with mild, wet winters and hot, dry summers. The weather in Los Angeles is generally stable, but occasional Santa Ana winds can bring extreme heat and increase the risk of wildfires. The Weather Channel and Google Weather are popular tools for Angelenos to stay updated on weather today and weather tomorrow. Moving to the southern United States, Houston weather is influenced by its proximity to the Gulf of Mexico, resulting in high humidity and frequent thunderstorms. Weather Houston forecasts often highlight the risk of flooding during heavy rains. Similarly, Dallas weather can be unpredictable, with hot summers and the occasional winter ice storm. The National Weather Service plays a crucial role in providing accurate forecasts and warnings for these regions. International Weather: From Melbourne Weather to London Weather Weather patterns vary significantly across the globe. In Australia, Melbourne weather is known for its unpredictability, often described as having "four seasons in one day." The BOM weather (Bureau of Meteorology) provides detailed forecasts for weather in Melbourne, including weather radar Melbourne images that track rain and storms. Similarly, weather Sydney forecasts are essential for residents and tourists alike, as the city experiences a temperate climate with distinct seasons. In the United Kingdom, weather London is characterized by its maritime climate, with mild temperatures and frequent rainfall. The Met Office weather service provides reliable forecasts, including BBC weather London updates. Weather in London can change rapidly, so it’s common to check weather hourly forecasts. Other UK cities like Manchester, Glasgow, and Birmingham also experience similar weather patterns, with weather Manchester often being slightly cooler due to its northern location. Specialized Weather Services: From Weather Underground to Elders Weather There are numerous specialized weather services that cater to different needs. Weather Underground is a popular platform that offers hyper-local forecasts, using data from personal weather stations. This service is particularly useful for those looking for weather near me updates. Similarly, Elders Weather in Australia provides detailed agricultural forecasts, helping farmers plan their activities based on weather 10 days outlooks. For those interested in long-term forecasts, Google Weather and BBC Weather offer weather 10 days predictions, giving a broader picture of upcoming conditions. These services are invaluable for planning events, trips, or even daily commutes. Additionally, The Weather Channel provides comprehensive coverage, including weather radar images and weather hourly updates, making it a one-stop-shop for all weather-related information. Extreme Weather Events: From Snow Weather Forecast to Vegas Weather Extreme weather events can have significant impacts on communities. For instance, a snow weather forecast is crucial for cities like New York and Chicago, where heavy snowfall can disrupt transportation and daily life. The National Weather Service issues warnings and advisories to help residents prepare for these events. In contrast, Vegas weather is characterized by its extreme heat, especially during the summer months. The weather forecast for Las Vegas often includes heat advisories, urging residents and tourists to stay hydrated and avoid prolonged exposure to the sun. Similarly, Houston weather can be extreme, with the risk of hurricanes and flooding during the rainy season. Weather in Popular Tourist Destinations: From Tenerife Weather to Benidorm Weather Tourists often rely on accurate weather forecasts to plan their trips. For example, Tenerife weather is generally warm and sunny, making it a popular destination year-round. However, the island’s diverse topography means that weather in Tenerife can vary significantly between the coast and the mountains. Similarly, Benidorm weather is known for its Mediterranean climate, with hot summers and mild winters, making it a favorite among European tourists. In Australia, Gold Coast weather is another major draw for tourists. The weather Gold Coast forecasts are essential for planning beach activities, as the region enjoys a subtropical climate with plenty of sunshine. Weather Brisbane, weather Perth, and weather Adelaide also offer favorable conditions for outdoor activities, with each city experiencing distinct seasonal variations. Weather in the UK: From Edinburgh Weather to Bristol Weather The United Kingdom’s weather is as diverse as its landscapes. Edinburgh weather is influenced by its northern location, resulting in cooler temperatures and more frequent rainfall compared to southern cities. The Met Office weather service provides detailed forecasts for weather Edinburgh, helping residents and visitors plan their activities. In contrast, Bristol weather is milder, with fewer extremes. The weather forecast for Bristol often includes information about wind patterns, as the city is located near the Bristol Channel. Similarly, Liverpool weather and Leeds weather are influenced by their northern locations, with cooler temperatures and more rainfall than southern cities like London and Bristol. Weather in Australia: From Canberra Weather to Hobart Weather Australia’s capital, Canberra weather, experiences a temperate climate with four distinct seasons. The BOM weather service provides detailed forecasts for weather Canberra, including weather 10 days outlooks. Similarly, Hobart weather is characterized by its cool temperate climate, with mild summers and cold winters. The weather Hobart forecasts are essential for residents, especially during the winter months when snowfall is possible. In contrast, Geelong weather and Newcastle weather offer more moderate conditions, with mild winters and warm summers. The weather Geelong and weather Newcastle forecasts are crucial for planning outdoor activities, as both cities enjoy plenty of sunshine throughout the year. Weather in the US: From New York Weather to Dallas Weather In the United States, New York weather is known for its seasonal extremes. The weather NYC forecasts often include information about snowstorms in the winter and heatwaves in the summer. The National Weather Service provides detailed weather hourly updates, helping residents navigate the city’s unpredictable weather. Similarly, Dallas weather can be extreme, with hot summers and the occasional winter ice storm. The weather forecast for Dallas often includes heat advisories during the summer and winter storm warnings during the colder months. Houston weather is also influenced by its proximity to the Gulf of Mexico, resulting in high humidity and frequent thunderstorms. Weather in Europe: From Glasgow Weather to Lanzarote Weather In Europe, Glasgow weather is characterized by its maritime climate, with mild temperatures and frequent rainfall. The weather forecast for Glasgow often includes information about wind patterns, as the city is located near the Atlantic Ocean. Similarly, Lanzarote weather is known for its warm and sunny conditions, making it a popular destination for tourists seeking a winter escape. In Spain, Benidorm weather is another major draw for tourists. The weather forecast for Benidorm often includes information about sea temperatures, as the city is located on the Mediterranean coast. Similarly, Tenerife weather is generally warm and sunny, making it a popular destination year-round. Conclusion: The Importance of Accurate Weather Forecasts In conclusion, understanding the weather is essential for navigating our daily lives and planning for the future. Whether you’re checking weather today or weather tomorrow, tools like Google Weather, The Weather Channel, and Weather Underground provide invaluable information. From NY weather to Florida weather, and from weather in Melbourne to weather London, accurate forecasts help us prepare for whatever Mother Nature has in store. So next time you ask, “what is the weather?” or “what's the weather?”, remember the wealth of resources available to keep you informed and safe. The weather is an ever-present force that shapes our daily lives, influencing everything from our clothing choices to our travel plans. Whether you're curious about today weather or planning for weather tomorrow, understanding the weather is essential. In this detailed exploration, we’ll delve into the intricacies of weather forecasts, the tools that help us predict atmospheric conditions, and how different regions experience the weather. From NY weather to Florida weather, and from weather London to Melbourne weather, we’ll cover it all. We’ll also explore popular platforms like BBC Weather, Google Weather, and The Weather Channel, as well as specialized tools like weather radar and weather underground. Let’s embark on this meteorological journey. The Science Behind Weather Forecasts A weather forecast is a scientific prediction of atmospheric conditions for a specific time and location. These forecasts are generated using complex computer models that analyze data from satellites, weather radars, and ground-based observations. The accuracy of a weather forecast depends on the quality of the data and the sophistication of the models. For instance, The Weather Channel and BBC Weather are renowned for their detailed and reliable forecasts. These platforms provide weather hourly updates, weather 10 days outlooks, and even weather radar images that show real-time precipitation and storm movements. Weather radars are essential tools for meteorologists. They emit radio waves that bounce off precipitation particles, providing information about the intensity and movement of storms. This technology is particularly useful for tracking severe weather events like hurricanes, tornadoes, and thunderstorms. For example, during hurricane season, Florida weather forecasts rely heavily on weather radar data to predict the path and impact of storms. Similarly, NY weather forecasts use radar to monitor snowstorms and blizzards that can disrupt life in weather NYC. Regional Weather Variations: From Weather London to Weather Toronto Different regions experience vastly different weather patterns. Let’s start with weather London, characterized by its maritime climate, with mild temperatures and frequent rainfall. The BBC Weather service provides reliable forecasts, including weather hourly updates. Weather in London can change rapidly, so it’s common to check weather now forecasts to stay prepared. On the other side of the Atlantic, weather Toronto is influenced by its continental climate, with cold, snowy winters and warm, humid summers. The weather network in Canada offers detailed forecasts, including weather 10 days outlooks, helping residents plan for seasonal changes. Similarly, weather Chicago is known for its extreme seasonal variations, with harsh winters and hot summers. The weather forecast for Chicago often includes warnings about lake-effect snow, which occurs when cold air passes over the warmer waters of Lake Michigan, leading to intense snowfall. International Weather: From Melbourne Weather to Sydney Weather Weather patterns vary significantly across the globe. In Australia, Melbourne weather is known for its unpredictability, often described as having "four seasons in one day." The weather report for Melbourne often includes sudden changes, making it essential to check weather hourly updates. Similarly, Sydney weather forecasts are crucial for residents and tourists alike, as the city experiences a temperate climate with distinct seasons. In Pakistan, Lahore weather is characterized by its extreme heat during the summer months and cooler temperatures in the winter. The weather forecast for Lahore often includes heat advisories, urging residents to stay hydrated and avoid prolonged exposure to the sun. The weather underground platform provides hyper-local forecasts, making it easier to plan activities based on weather near me updates. Specialized Weather Services: From Google Weather to The Weather Channel There are numerous specialized weather services that cater to different needs. Google Weather is a popular tool that offers quick and easy access to weather now updates, weather 10 days predictions, and weather hourly forecasts. This service is particularly useful for those looking for a quick snapshot of the weather in their area. The Weather Channel is another comprehensive platform that provides detailed forecasts, including weather radar images and weather hourly updates. This service is invaluable for planning events, trips, or even daily commutes. Additionally, BBC Weather offers reliable forecasts for the UK and beyond, including weather London updates and weather 10 days outlooks. Extreme Weather Events: From NY Weather to Florida Weather Extreme weather events can have significant impacts on communities. For instance, NY weather is known for its seasonal extremes, with harsh winters and hot summers. The weather forecast for New York often includes warnings about snowstorms in the winter and heatwaves in the summer. The National Weather Service provides detailed weather hourly updates, helping residents navigate the city’s unpredictable weather. In contrast, Florida weather is characterized by its tropical climate, with hot, humid summers and mild winters. The weather forecast for Florida often includes information about hurricane risks, especially during the Atlantic hurricane season. The weather radar is a crucial tool for tracking these storms, providing real-time data on their path and intensity. Weather in Popular Tourist Destinations: From Sydney Weather to Lahore Weather Tourists often rely on accurate weather forecasts to plan their trips. For example, Sydney weather is generally mild and pleasant, making it a popular destination year-round. The weather report for Sydney often includes information about sea temperatures, as the city is located on the coast. Similarly, Lahore weather can be extreme, with hot summers and cooler winters, making it essential to check weather 10 days forecasts before planning a visit. In Canada, weather Toronto is another major draw for tourists. The weather network provides detailed forecasts, including weather hourly updates, helping visitors plan their activities. Similarly, weather Chicago offers a range of seasonal activities, from summer festivals to winter sports, making it a popular destination year-round. Weather in the UK: From Weather London to BBC Weather The United Kingdom’s weather is as diverse as its landscapes. Weather London is characterized by its maritime climate, with mild temperatures and frequent rainfall. The BBC Weather service provides reliable forecasts, including weather hourly updates. Weather in London can change rapidly, so it’s common to check weather now forecasts to stay prepared. In contrast, weather Manchester is slightly cooler due to its northern location. The weather forecast for Manchester often includes information about wind patterns, as the city is located near the Atlantic Ocean. Similarly, weather Glasgow is influenced by its northern location, resulting in cooler temperatures and more frequent rainfall compared to southern cities like London. Weather in Australia: From Melbourne Weather to Sydney Weather Australia’s weather is as diverse as its landscapes. Melbourne weather is known for its unpredictability, often described as having "four seasons in one day." The weather report for Melbourne often includes sudden changes, making it essential to check weather hourly updates. Similarly, Sydney weather forecasts are crucial for residents and tourists alike, as the city experiences a temperate climate with distinct seasons. In contrast, weather Brisbane offers a subtropical climate, with warm temperatures year-round. The weather forecast for Brisbane often includes information about humidity levels, as the city experiences high humidity during the summer months. Similarly, weather Perth is characterized by its Mediterranean climate, with hot, dry summers and mild, wet winters. Weather in the US: From NY Weather to Florida Weather In the United States, NY weather is known for its seasonal extremes. The weather forecast for New York often includes warnings about snowstorms in the winter and heatwaves in the summer. The National Weather Service provides detailed weather hourly updates, helping residents navigate the city’s unpredictable weather. Similarly, Florida weather is characterized by its tropical climate, with hot, humid summers and mild winters. The weather forecast for Florida often includes information about hurricane risks, especially during the Atlantic hurricane season. The weather radar is a crucial tool for tracking these storms, providing real-time data on their path and intensity. Weather in Canada: From Weather Toronto to Weather Network In Canada, weather Toronto is influenced by its continental climate, with cold, snowy winters and warm, humid summers. The weather network in Canada offers detailed forecasts, including weather 10 days outlooks, helping residents plan for seasonal changes. Similarly, weather Vancouver is characterized by its mild, wet winters and warm, dry summers, making it a popular destination year-round. In contrast, weather Montreal is known for its harsh winters, with heavy snowfall and sub-zero temperatures. The weather forecast for Montreal often includes warnings about snowstorms and ice storms, which can disrupt daily life. The weather network provides detailed weather hourly updates, helping residents stay prepared for these extreme conditions. Conclusion: The Importance of Accurate Weather Forecasts In conclusion, understanding the weather is essential for navigating our daily lives and planning for the future. Whether you’re checking today weather or weather tomorrow, tools like Google Weather, BBC Weather, and The Weather Channel provide invaluable information. From NY weather to Florida weather, and from weather London to Melbourne weather, accurate forecasts help us prepare for whatever Mother Nature has in store. So next time you ask, “what is the weather?” or check weather near me, remember the wealth of resources available to keep you informed and safe. Das Wetter ist ein allgegenwärtiges Phänomen, das unser tägliches Leben auf vielfältige Weise beeinflusst. Ob wir uns für das Wetter heute interessieren oder bereits Pläne für das Wetter morgen schmieden, das Verständnis von das Wetter ist unerlässlich. In diesem ausführlichen Text werden wir die Nuancen von Wettervorhersagen, die Werkzeuge, die uns helfen, atmosphärische Bedingungen vorherzusagen, und die regionalen Unterschiede im Wetter beleuchten. Von Berlin Wetter bis Mallorca Wetter, von Wetter München bis Wetter Hamburg – wir decken eine breite Palette ab. Zudem werfen wir einen Blick auf beliebte Plattformen wie Wetter online, Google Wetter und Wetter com, sowie auf spezialisierte Tools wie das 16 Tage Wetter und Wetter 14 Tage. Begleiten Sie mich auf dieser meteorologischen Reise. Die Wissenschaft hinter Wettervorhersagen Eine Wettervorhersage ist eine wissenschaftliche Prognose der atmosphärischen Bedingungen für einen bestimmten Zeitraum und Ort. Diese Vorhersagen werden mithilfe komplexer Computermodelle erstellt, die Daten von Satelliten, Wetterstationen und anderen Quellen analysieren. Die Genauigkeit einer Wettervorhersage hängt von der Qualität der Daten und der Leistungsfähigkeit der Modelle ab. Plattformen wie Wetter de und Wetter com sind bekannt für ihre detaillierten und zuverlässigen Prognosen. Sie bieten nicht nur Informationen über das Wetter heute, sondern auch 16 Tage Wetter-Trends und Wetter 14 Tage-Prognosen, die einen umfassenden Überblick über die kommenden Bedingungen liefern. Ein wichtiges Werkzeug für Meteorologen ist das Wetterradar, das in Echtzeit Niederschläge und Sturmaktivitäten anzeigt. Dies ist besonders nützlich, um extreme Wetterereignisse wie Gewitter, Stürme oder Schneefälle zu verfolgen. Zum Beispiel ist das Berlin Wetter im Winter oft von Schneefällen geprägt, während das Mallorca Wetter im Sommer häufig sonnig und warm ist. Dank solcher Tools können wir uns besser auf das Wetter morgen vorbereiten. Regionale Wetterunterschiede: Von Wetter München bis Wetter Hamburg Deutschland ist bekannt für seine regionalen Wetterunterschiede. Das Wetter München im Süden des Landes ist oft von alpinen Einflüssen geprägt, was zu kühleren Temperaturen und häufigeren Schneefällen im Winter führt. Im Sommer hingegen kann das Wetter München warm und sonnig sein, was die Stadt zu einem beliebten Ziel für Outdoor-Aktivitäten macht. Im Norden Deutschlands zeigt sich das Wetter Hamburg oft von einer anderen Seite. Die Nähe zur Nordsee sorgt für ein maritimes Klima mit milden Wintern und kühlen Sommern. Das Wetter Hamburg ist bekannt für seine häufigen Regenfälle, die das ganze Jahr über auftreten können. Ähnlich verhält es sich mit dem Wetter Bremen, das ebenfalls von der Nähe zur Küste beeinflusst wird. In der Mitte Deutschlands zeigt das Wetter Frankfurt ein gemäßigtes Klima mit vier ausgeprägten Jahreszeiten. Die Wettervorhersage für Frankfurt ist besonders für Geschäftsreisende wichtig, da die Stadt ein wichtiger Verkehrsknotenpunkt ist. Weiter östlich präsentiert sich das Wetter Leipzig mit kontinentalen Einflüssen, die zu heißen Sommern und kalten Wintern führen. Internationale Wetterphänomene: Von Mallorca Wetter bis Berlin Wetter Während das Berlin Wetter oft von gemäßigten Temperaturen und gelegentlichen Regenfällen geprägt ist, zeigt sich das Mallorca Wetter deutlich sonniger und wärmer. Die spanische Insel ist ein beliebtes Reiseziel, insbesondere im Wetter März, wenn die Temperaturen angenehm sind und die Touristenströme noch nicht ihren Höhepunkt erreicht haben. Das Mallorca Wetter ist ein Paradebeispiel für mediterranes Klima, das sich durch heiße, trockene Sommer und milde, feuchte Winter auszeichnet. In Deutschland hingegen kann das Wetter Köln im Rheinland oft unberechenbar sein. Die Stadt erlebt sowohl sonnige Tage als auch regnerische Phasen, was das Wetter Köln zu einem spannenden Thema macht. Ähnlich verhält es sich mit dem Wetter Stuttgart, das durch seine Lage in einem Talkessel manchmal von Nebel und Inversionswetterlagen geprägt ist. Spezialisierte Wetterdienste: Von Google Wetter bis Wetter online Für diejenigen, die sich schnell und einfach über das Wetter heute informieren möchten, ist Google Wetter eine hervorragende Wahl. Diese Plattform bietet präzise Wettervorhersagen, einschließlich Wetter 14 Tage-Prognosen und Wetter morgen-Updates. Es ist ein praktisches Tool für alle, die eine schnelle Übersicht benötigen. Eine weitere beliebte Plattform ist Wetter online, die detaillierte Informationen über das Wetter in verschiedenen Städten wie Wetter Düsseldorf, Wetter Hannover und Wetter Dortmund bietet. Diese Seite ist besonders nützlich für Langzeitplanungen, da sie auch 16 Tage Wetter-Trends anzeigt. Für spezifische regionale Vorhersagen ist Wetter com eine ausgezeichnete Ressource. Ob Sie das Wetter Dresden, das Wetter Nürnberg oder das Wetter Essen im Ruhrgebiet überprüfen möchten – diese Plattform liefert präzise und aktuelle Daten. Extreme Wetterereignisse: Von Wetter München bis Wetter Hamburg Extreme Wetterereignisse können erhebliche Auswirkungen auf das tägliche Leben haben. In München kann das Wetter im März noch winterlich sein, mit Schneefällen und frostigen Temperaturen. Die Wettervorhersage für München ist daher besonders wichtig, um sich auf solche Bedingungen vorzubereiten. In Hamburg hingegen sind Stürme und starke Regenfälle keine Seltenheit. Das Wetter Hamburg kann schnell umschlagen, was die Bedeutung von Wetterradar-Daten unterstreicht. Diese Tools helfen, Stürme und Niederschläge in Echtzeit zu verfolgen und rechtzeitig Warnungen auszusprechen. Das Wetter in deutschen Großstädten Deutschlands Großstädte bieten eine faszinierende Vielfalt an Wetterbedingungen. Das Wetter Berlin ist oft von kontinentalen Einflüssen geprägt, was zu heißen Sommern und kalten Wintern führt. Die Wettervorhersage für Berlin ist besonders im Winter wichtig, da Schnee und Eis den Verkehr beeinträchtigen können. In Köln zeigt sich das Wetter Köln oft milder, dank des Einflusses des Rheins. Die Stadt erlebt weniger extreme Temperaturen, aber häufige Regenfälle. Ähnlich verhält es sich mit dem Wetter Düsseldorf, das ebenfalls von der Nähe zum Fluss geprägt ist. Im Süden Deutschlands ist das Wetter Stuttgart bekannt für seine Inversionswetterlagen, die oft zu Nebel und kühleren Temperaturen führen. Die Wettervorhersage für Stuttgart ist daher besonders für Pendler wichtig, die sich auf mögliche Sichtbehinderungen einstellen müssen. Fazit: Die Bedeutung von präzisen Wettervorhersagen Zusammenfassend lässt sich sagen, dass das Verständnis von das Wetter entscheidend ist, um unseren Alltag zu meistern und uns auf zukünftige Ereignisse vorzubereiten. Ob Sie das Wetter heute überprüfen oder bereits Pläne für das Wetter morgen schmieden, Plattformen wie Google Wetter, Wetter online und Wetter com bieten unschätzbare Informationen. Von Berlin Wetter bis Mallorca Wetter, von Wetter München bis Wetter Hamburg – präzise Vorhersagen helfen uns, uns auf die Launen der Natur einzustellen. Wenn Sie also das nächste Mal fragen: „Wie wird das Wetter morgen?“ oder „Was sagt das 16 Tage Wetter?“, denken Sie an die zahlreichen Ressourcen, die Ihnen zur Verfügung stehen, um informiert und sicher zu bleiben. Il Tempo e le Previsioni Meteo: Un Viaggio tra Italia e Francia Il meteo è un elemento fondamentale della nostra vita quotidiana, influenzando le nostre scelte, i nostri viaggi e persino il nostro umore. Che si tratti di consultare il meteo oggi o di pianificare in base al meteo di domani, comprendere la meteo è essenziale. In questo testo esploreremo le complessità delle previsioni meteo, gli strumenti che ci aiutano a prevedere le condizioni atmosferiche e le differenze regionali nel meteo. Dalla meteo Roma alla meteo Paris, dalla meteo Milano alla meteo Lyon, copriremo una vasta gamma di situazioni. Inoltre, esamineremo piattaforme come meteo 3b, chaine meteo e meteo agricole, nonché strumenti specializzati come il radar meteo e le meteo 15 jours. Immergiamoci in questo viaggio meteorologico. La Scienza delle Previsioni Meteo Le previsioni meteo sono previsioni scientifiche delle condizioni atmosferiche per un determinato periodo e luogo. Queste previsioni vengono generate utilizzando modelli computerizzati complessi che analizzano dati provenienti da satelliti, stazioni meteorologiche e altre fonti. L'accuratezza delle previsioni meteo dipende dalla qualità dei dati e dalla potenza dei modelli. Piattaforme come meteo 3b e chaine meteo sono rinomate per le loro previsioni dettagliate e affidabili. Questi servizi non solo forniscono informazioni sul meteo oggi, ma anche tendenze come le meteo 15 jours, offrendo una panoramica completa delle condizioni future. Uno strumento essenziale per i meteorologi è il radar meteo, che mostra in tempo reale le precipitazioni e le attività temporalesche. Questo è particolarmente utile per monitorare eventi meteorologici estremi come temporali, tempeste o nevicate. Ad esempio, il meteo Paris può essere influenzato da piogge improvvise, mentre il meteo Marrakech è spesso caratterizzato da cieli sereni e temperature elevate. Grazie a questi strumenti, possiamo prepararci meglio per il meteo di domani. Differenze Regionali: Dal Meteo Roma al Meteo Lyon L'Italia e la Francia offrono una vasta gamma di condizioni meteorologiche. In Italia, il meteo Roma è tipicamente mediterraneo, con estati calde e inverni miti. Le previsioni meteo per Roma sono particolarmente importanti per i turisti che visitano la città eterna, soprattutto in estate quando le temperature possono diventare torride. In Francia, il meteo Paris è influenzato da un clima oceanico, con inverni freddi ed estati moderate. Le previsioni meteo per Parigi spesso includono piogge frequenti, rendendo l'ombrello un accessorio indispensabile. Allo stesso modo, il meteo Lyon è noto per le sue estati calde e gli inverni freddi, con occasionali nevicate. In Italia, il meteo Milano è caratterizzato da inverni freddi e nebbiosi ed estati calde e umide. Le previsioni meteo per Milano sono fondamentali per i pendolari, che devono affrontare spesso nebbia e pioggia. Al sud, il meteo Napoli offre un clima più mite, con inverni brevi ed estati lunghe e soleggiate. Strumenti Specializzati: Da Meteo Agricole a Chaine Meteo Per gli agricoltori, il meteo agricole è una risorsa preziosa. Questo servizio fornisce previsioni dettagliate per aiutare gli agricoltori a pianificare le loro attività, come la semina e il raccolto. Allo stesso modo, meteo 3b offre previsioni precise per diverse regioni, tra cui il meteo Torino, il meteo Firenze e il meteo Bologna. Per chi cerca previsioni a lungo termine, le meteo 15 jours sono uno strumento essenziale. Piattaforme come chaine meteo e meteo france offrono previsioni estese, aiutando a pianificare viaggi o eventi all'aperto. Inoltre, il radar meteo è uno strumento indispensabile per monitorare le precipitazioni in tempo reale, specialmente durante i temporali estivi. Eventi Meteorologici Estremi: Dal Meteo Alger al Meteo Marseille Gli eventi meteorologici estremi possono avere un impatto significativo sulle comunità. Ad esempio, il meteo Alger è spesso caratterizzato da estati calde e secche, con temperature che possono superare i 40°C. Le previsioni meteo per Alger sono cruciali per prevenire colpi di calore e disidratazione. In Francia, il meteo Marseille è noto per il suo clima mediterraneo, con estati calde e inverni miti. Tuttavia, la città può essere colpita da forti venti come il Mistral, che rende le previsioni meteo particolarmente importanti per i residenti e i visitatori. Il Meteo nelle Città Italiane e Francesi In Italia, il meteo Torino è influenzato dalla sua posizione ai piedi delle Alpi, con inverni freddi ed estati calde. Le previsioni meteo per Torino spesso includono avvisi di neve in inverno. Allo stesso modo, il meteo Firenze offre un clima mite, con estati calde e inverni umidi. In Francia, il meteo Rabat è caratterizzato da un clima mediterraneo, con estati calde e inverni miti. Le previsioni meteo per Rabat sono essenziali per i turisti che visitano la città durante l'estate. Allo stesso modo, il meteo Casablanca è noto per il suo clima temperato, con inverni miti ed estati calde. Conclusioni: L'Importanza delle Previsioni Meteo In conclusione, comprendere la meteo è fondamentale per navigare nella nostra vita quotidiana e pianificare il futuro. Che si tratti di consultare il meteo oggi o di prepararsi per il meteo di domani, strumenti come meteo 3b, chaine meteo e meteo agricole forniscono informazioni preziose. Dalla meteo Roma alla meteo Paris, dalla meteo Milano alla meteo Lyon, previsioni accurate ci aiutano a prepararci per qualsiasi condizione atmosferica. Quindi, la prossima volta che ti chiedi "Com'è il meteo domani?" o consulti le meteo 15 jours, ricorda le numerose risorse a tua disposizione per rimanere informato e al sicuro. La Météo et les Prévisions Météorologiques: Un Voyage entre l'Italie et la France La météo est un élément fondamental de notre vie quotidienne, influençant nos choix, nos voyages et même notre humeur. Qu'il s'agisse de consulter la météo aujourd'hui ou de planifier en fonction de la météo de demain, comprendre la météo est essentiel. Dans ce texte, nous explorerons les complexités des prévisions météo, les outils qui nous aident à prévoir les conditions atmosphériques et les différences régionales dans la météo. De la météo Rome à la météo Paris, de la météo Milan à la météo Lyon, nous couvrirons une grande variété de situations. De plus, nous examinerons des plateformes comme météo 3b, chaine météo et météo agricole, ainsi que des outils spécialisés comme le radar météo et les météo 15 jours. Plongeons dans ce voyage météorologique. La Science des Prévisions Météo Les prévisions météo sont des prédictions scientifiques des conditions atmosphériques pour une période et un lieu donnés. Ces prévisions sont générées à l'aide de modèles informatiques complexes qui analysent les données provenant de satellites, de stations météorologiques et d'autres sources. La précision des prévisions météo dépend de la qualité des données et de la puissance des modèles. Des plateformes comme météo 3b et chaine météo sont réputées pour leurs prévisions détaillées et fiables. Ces services fournissent non seulement des informations sur la météo aujourd'hui, mais aussi des tendances comme les météo 15 jours, offrant une vue d'ensemble des conditions futures. Un outil essentiel pour les météorologues est le radar météo, qui montre en temps réel les précipitations et les activités orageuses. Cela est particulièrement utile pour suivre les événements météorologiques extrêmes comme les orages, les tempêtes ou les chutes de neige. Par exemple, la météo Paris peut être influencée par des pluies soudaines, tandis que la météo Marrakech est souvent caractérisée par des ciels dégagés et des températures élevées. Grâce à ces outils, nous pouvons mieux nous préparer pour la météo de demain. Différences Régionales: De la Météo Rome à la Météo Lyon L'Italie et la France offrent une grande variété de conditions météorologiques. En Italie, la météo Rome est typiquement méditerranéenne, avec des étés chauds et des hivers doux. Les prévisions météo pour Rome sont particulièrement importantes pour les touristes visitant la ville éternelle, surtout en été lorsque les températures peuvent devenir torrides. En France, la météo Paris est influencée par un climat océanique, avec des hivers froids et des étés modérés. Les prévisions météo pour Paris incluent souvent des pluies fréquentes, faisant de l'parapluie un accessoire indispensable. De même, la météo Lyon est connue pour ses étés chauds et ses hivers froids, avec des chutes de neige occasionnelles. En Italie, la météo Milan est caractérisée par des hivers froids et brumeux et des étés chauds et humides. Les prévisions météo pour Milan sont cruciales pour les navetteurs, qui doivent souvent faire face à du brouillard et de la pluie. Au sud, la météo Naples offre un climat plus doux, avec des hivers courts et des étés longs et ensoleillés. Outils Spécialisés: De Météo Agricole à Chaine Météo Pour les agriculteurs, la météo agricole est une ressource précieuse. Ce service fournit des prévisions détaillées pour aider les agriculteurs à planifier leurs activités, comme les semis et les récoltes. De même, météo 3b offre des prévisions précises pour diverses régions, y compris la météo Turin, la météo Florence et la météo Bologne. Pour ceux qui cherchent des prévisions à long terme, les météo 15 jours sont un outil essentiel. Des plateformes comme chaine météo et météo france offrent des prévisions étendues, aidant à planifier des voyages ou des événements en plein air. De plus, le radar météo est un outil indispensable pour surveiller les précipitations en temps réel, surtout pendant les orages d'été. Événements Météorologiques Extrêmes: De la Météo Alger à la Météo Marseille Les événements météorologiques extrêmes peuvent avoir un impact significatif sur les communautés. Par exemple, la météo Alger est souvent caractérisée par des étés chauds et secs, avec des températures pouvant dépasser 40°C. Les prévisions météo pour Alger sont cruciales pour prévenir les coups de chaleur et la déshydratation. En France, la météo Marseille est connue pour son climat méditerranéen, avec des étés chauds et des hivers doux. Cependant, la ville peut être touchée par des vents forts comme le Mistral, ce qui rend les prévisions météo particulièrement importantes pour les résidents et les visiteurs. La Météo dans les Villes Italiennes et Françaises En Italie, la météo Turin est influencée par sa position au pied des Alpes, avec des hivers froids et des étés chauds. Les prévisions météo pour Turin incluent souvent des alertes de neige en hiver. De même, la météo Florence offre un climat doux, avec des étés chauds et des hivers humides. En France, la météo Rabat est caractérisée par un climat méditerranéen, avec des étés chauds et des hivers doux. Les prévisions météo pour Rabat sont essentielles pour les touristes visitant la ville pendant l'été. De même, la météo Casablanca est connue pour son climat tempéré, avec des hivers doux et des étés chauds. Conclusions: L'Importance des Prévisions Météo En conclusion, comprendre la météo est essentiel pour naviguer dans notre vie quotidienne et planifier l'avenir. Qu'il s'agisse de consulter la météo aujourd'hui ou de se préparer pour la météo de demain, des outils comme météo 3b, chaine météo et météo agricole fournissent des informations précieuses. De la météo Rome à la météo Paris, de la météo Milan à la météo Lyon, des prévisions précises nous aident à nous préparer à toutes les conditions météorologiques. Alors, la prochaine fois que vous vous demandez "Quel est le météo demain?" ou consultez les météo 15 jours, rappelez-vous les nombreuses ressources à votre disposition pour rester informé et en sécurité. El Tiempo y las Previsiones Meteorológicas: Un Viaje por España El tiempo es un factor determinante en nuestra vida cotidiana, influyendo en nuestras decisiones, viajes e incluso en nuestro estado de ánimo. Ya sea que consultemos el tiempo hoy o planifiquemos en función de el tiempo mañana, comprender el tiempo es esencial. En este texto, exploraremos las complejidades de las previsiones meteorológicas, las herramientas que nos ayudan a predecir las condiciones atmosféricas y las diferencias regionales en el tiempo. Desde el tiempo Madrid hasta el tiempo Sevilla, pasando por el tiempo Barcelona y el tiempo Málaga, cubriremos una amplia gama de situaciones. Además, examinaremos plataformas como AEMET y el diario el tiempo, así como herramientas especializadas como el tiempo 14 días y el tiempo para mañana. Sumerjámonos en este viaje meteorológico. La Ciencia de las Previsiones Meteorológicas Las previsiones meteorológicas son predicciones científicas de las condiciones atmosféricas para un período y lugar específicos. Estas previsiones se generan utilizando modelos informáticos complejos que analizan datos provenientes de satélites, estaciones meteorológicas y otras fuentes. La precisión de las previsiones meteorológicas depende de la calidad de los datos y de la potencia de los modelos. Plataformas como AEMET (Agencia Estatal de Meteorología) son reconocidas por sus previsiones detalladas y fiables. Estos servicios no solo proporcionan información sobre el tiempo hoy, sino también tendencias como el tiempo 14 días, ofreciendo una visión completa de las condiciones futuras. Una herramienta esencial para los meteorólogos es el radar meteorológico, que muestra en tiempo real las precipitaciones y las actividades tormentosas. Esto es especialmente útil para seguir eventos meteorológicos extremos como tormentas, lluvias intensas o nevadas. Por ejemplo, el tiempo en Madrid puede verse afectado por lluvias repentinas en otoño, mientras que el tiempo en Sevilla suele ser más estable, con veranos calurosos e inviernos suaves. Gracias a estas herramientas, podemos prepararnos mejor para el tiempo mañana. Diferencias Regionales: Del Tiempo Madrid al Tiempo Sevilla España es un país con una gran diversidad climática, lo que se refleja en las diferencias regionales de el tiempo. En la capital, el tiempo Madrid está influenciado por un clima continental, con inviernos fríos y veranos calurosos. Las previsiones meteorológicas para Madrid son especialmente importantes en invierno, cuando las nevadas pueden afectar el tráfico y las actividades diarias. En el sur, el tiempo Sevilla es conocido por su clima mediterráneo, con veranos extremadamente calurosos e inviernos suaves. Las previsiones meteorológicas para Sevilla son cruciales durante los meses de verano, cuando las temperaturas pueden superar los 40°C. De manera similar, el tiempo Málaga ofrece un clima más templado, con inviernos cortos y veranos largos y soleados, lo que la convierte en un destino turístico popular durante todo el año. En la costa este, el tiempo Barcelona está marcado por un clima mediterráneo, con inviernos suaves y veranos cálidos. Las previsiones meteorológicas para Barcelona son esenciales para los turistas que visitan la ciudad, especialmente en verano, cuando las playas están en su máximo esplendor. Por otro lado, el tiempo Valencia también disfruta de un clima mediterráneo, con inviernos cortos y veranos largos, aunque con un mayor riesgo de lluvias torrenciales en otoño. Herramientas Especializadas: De AEMET a El Diario El Tiempo Para aquellos que buscan previsiones meteorológicas precisas y detalladas, AEMET es una de las fuentes más confiables. Esta agencia proporciona el tiempo 14 días, el tiempo para mañana y el tiempo hoy, ayudando a los ciudadanos a planificar sus actividades con antelación. Además, AEMET ofrece datos históricos y tendencias climáticas, lo que la convierte en una herramienta invaluable para investigadores y planificadores. Otra fuente popular de información meteorológica es el diario el tiempo, que combina noticias actuales con el tiempo noticias y previsiones detalladas. Este medio es especialmente útil para aquellos que buscan una visión más amplia de cómo el tiempo afecta a diferentes regiones de España. Por ejemplo, el tiempo en Granada puede ser muy diferente al el tiempo en Valencia, y el diario el tiempo ofrece análisis comparativos que ayudan a entender estas diferencias. Eventos Meteorológicos Extremos: Del Tiempo Málaga al Tiempo Barcelona Los eventos meteorológicos extremos pueden tener un impacto significativo en las comunidades. Por ejemplo, el tiempo Málaga puede verse afectado por fuertes lluvias en otoño, lo que puede provocar inundaciones y daños materiales. Las previsiones meteorológicas para Málaga son esenciales para prevenir estos riesgos y proteger a la población. En el tiempo Barcelona, los temporales marítimos pueden causar olas gigantes y fuertes vientos, especialmente en invierno. Las previsiones meteorológicas para Barcelona son cruciales para los pescadores y los navegantes, que deben estar al tanto de las condiciones del mar. De manera similar, el tiempo en Valencia puede verse afectado por gotas frías en otoño, lo que provoca lluvias intensas y repentinas. El Tiempo en las Ciudades Españolas En el norte de España, el tiempo en Granada está influenciado por su ubicación cerca de Sierra Nevada, lo que resulta en inviernos fríos y nevadas frecuentes. Las previsiones meteorológicas para Granada son especialmente importantes para los amantes del esquí, que buscan las mejores condiciones en las pistas. En el centro del país, el tiempo en Madrid es conocido por sus extremos, con inviernos fríos y veranos calurosos. Las previsiones meteorológicas para Madrid son esenciales para los residentes, que deben prepararse para las olas de calor en verano y las nevadas en invierno. En el sur, el tiempo en Sevilla es famoso por sus altas temperaturas en verano, que pueden superar los 40°C. Las previsiones meteorológicas para Sevilla son cruciales para los turistas, que deben tomar precauciones para evitar golpes de calor. De manera similar, el tiempo en Málaga ofrece un clima más templado, pero con riesgos de lluvias torrenciales en otoño. Conclusiones: La Importancia de las Previsiones Meteorológicas En conclusión, comprender el tiempo es fundamental para navegar en nuestra vida cotidiana y planificar el futuro. Ya sea que consultemos el tiempo hoy o nos preparemos para el tiempo mañana, herramientas como AEMET, el diario el tiempo y el tiempo 14 días proporcionan información invaluable. Desde el tiempo Madrid hasta el tiempo Sevilla, pasando por el tiempo Barcelona y el tiempo Málaga, previsiones precisas nos ayudan a prepararnos para cualquier condición meteorológica. Así que, la próxima vez que te preguntes "¿Cómo estará el tiempo mañana?" o consultes el tiempo 14 días, recuerda las numerosas herramientas a tu disposición para mantenerte informado y seguro. El Tiempo en las Noticias: El Diario El Tiempo Además de las previsiones meteorológicas, el diario el tiempo ofrece una cobertura completa de cómo el tiempo afecta a diferentes aspectos de la sociedad. Desde el tiempo noticias sobre desastres naturales hasta análisis de tendencias climáticas, este medio proporciona una visión integral de la importancia de el tiempo en nuestras vidas. Por ejemplo, el tiempo en Valencia puede ser noticia por sus lluvias torrenciales, mientras que el tiempo en Granada puede destacar por sus nevadas inusuales. En resumen, el tiempo es más que una simple predicción; es una fuerza que moldea nuestro mundo. Ya sea a través de AEMET, el diario el tiempo o el tiempo 14 días, estar informado sobre el tiempo nos permite tomar decisiones más sabias y prepararnos para lo que nos depara el futuro. Pogoda i Prognozy Meteorologiczne: Podróż po Polsce Pogoda to nieodłączny element naszego codziennego życia, wpływający na nasze decyzje, plany podróży, a nawet samopoczucie. Czy sprawdzamy pogoda dzisiaj, czy planujemy z wyprzedzeniem na pogoda jutro, zrozumienie pogoda jest kluczowe. W tym tekście przyjrzymy się złożoności pogoda długoterminowa, narzędziom, które pomagają przewidywać warunki atmosferyczne, oraz regionalnym różnicom w pogoda. Od pogoda Warszawa przez pogoda Kraków aż po pogoda Gdańsk, omówimy szeroki zakres sytuacji pogodowych. Dodatkowo, przeanalizujemy platformy takie jak pogoda interia, onet pogoda oraz wp, a także specjalistyczne narzędzia jak pogoda dlugoterminowa i pogoda na jutro. Zanurzmy się w tej meteorologicznej podróży. Nauka stojąca za Prognozami Pogody Prognozy pogody to naukowe przewidywania warunków atmosferycznych na określony czas i miejsce. Tworzone są za pomocą skomplikowanych modeli komputerowych, które analizują dane z satelitów, stacji meteorologicznych i innych źródeł. Dokładność prognoz pogody zależy od jakości danych oraz zaawansowania modeli. Platformy takie jak pogoda interia czy onet pogoda są znane z precyzyjnych i wiarygodnych prognoz. Te serwisy dostarczają nie tylko informacji o pogoda dzisiaj, ale także długoterminowych trendów, takich jak pogoda długoterminowa czy pogoda 14 dni, co pozwala na lepsze planowanie. Jednym z kluczowych narzędzi meteorologów jest radar pogodowy, który pokazuje opady i burze w czasie rzeczywistym. Jest to szczególnie przydatne w śledzeniu ekstremalnych zjawisk pogodowych, takich jak ulewy, burze czy śnieżyce. Na przykład, pogoda Warszawa może być pod wpływem nagłych opadów śniegu zimą, podczas gdy pogoda Kraków często charakteryzuje się bardziej stabilnymi warunkami. Dzięki tym narzędziom możemy lepiej przygotować się na pogoda jutro. Różnice Regionalne: Od Pogoda Warszawa do Pogoda Gdańsk Polska to kraj o zróżnicowanym klimacie, co przekłada się na różnice w pogoda w poszczególnych regionach. W stolicy, pogoda Warszawa, panuje klimat umiarkowany, z chłodnymi zimami i ciepłymi latami. Prognozy pogody dla Warszawy są szczególnie ważne zimą, gdy opady śniegu mogą utrudniać transport i codzienne funkcjonowanie. Na południu Polski, pogoda Kraków jest znana z łagodniejszych zim, ale także z częstych mgieł i inwersji temperatury. Prognozy pogody dla Krakowa są kluczowe dla turystów odwiedzających miasto, zwłaszcza w okresie zimowym, gdy temperatury mogą spadać poniżej zera. Podobnie, pogoda Wrocław charakteryzuje się cieplejszymi latami i łagodniejszymi zimami, co czyni go atrakcyjnym miejscem przez cały rok. Na północy, pogoda Gdańsk jest kształtowana przez bliskość Morza Bałtyckiego, co oznacza łagodniejsze zimy i chłodniejsze lata. Prognozy pogody dla Gdańska są istotne dla mieszkańców i turystów, którzy chcą cieszyć się nadmorskim klimatem. W centralnej Polsce, pogoda Łódź jest bardziej zmienna, z wyraźnymi różnicami między porami roku. Specjalistyczne Narzędzia: Od Pogoda Interia do Onet Pogoda Dla tych, którzy szukają dokładnych i szczegółowych prognoz, pogoda interia i onet pogoda są doskonałymi źródłami informacji. Te platformy oferują nie tylko pogoda dzisiaj, ale także pogoda długoterminowa oraz pogoda na jutro, co pozwala na lepsze planowanie aktywności. Dodatkowo, wp (Wirtualna Polska) dostarcza aktualnych informacji pogodowych, w tym pogoda 14 dni, co jest szczególnie przydatne przy planowaniu dłuższych wyjazdów. Dla rolników i osób związanych z branżą rolniczą, pogoda długoterminowa jest nieoceniona. Pozwala ona na planowanie prac polowych, takich jak siew czy zbiory, z uwzględnieniem przewidywanych warunków atmosferycznych. Podobnie, pogoda dlugoterminowa jest przydatna dla turystów planujących wakacje, zwłaszcza w regionach o zmiennym klimacie, takich jak pogoda Rzeszów czy pogoda Białystok. Ekstremalne Zjawiska Pogodowe: Od Pogoda Katowice do Pogoda Szczecin Ekstremalne zjawiska pogodowe mogą mieć poważny wpływ na życie codzienne. Na przykład, pogoda Katowice może być pod wpływem gwałtownych burz latem, które niosą ze sobą ulewne deszcze i silne wiatry. Prognozy pogody dla Katowic są kluczowe, aby zapobiec skutkom takich zjawisk, takim jak podtopienia czy uszkodzenia infrastruktury. W północno-zachodniej Polsce, pogoda Szczecin jest często kształtowana przez wiatry znad Morza Bałtyckiego, które mogą powodować gwałtowne zmiany warunków atmosferycznych. Prognozy pogody dla Szczecina są istotne dla mieszkańców, którzy muszą być przygotowani na nagłe zmiany pogody. Podobnie, pogoda Poznań może być pod wpływem frontów atmosferycznych, które przynoszą ze sobą opady deszczu i śniegu. Pogoda w Polskich Miastach W centralnej Polsce, pogoda Łódź charakteryzuje się wyraźnymi różnicami między porami roku. Zimy mogą być mroźne, a lata upalne, co sprawia, że prognozy pogody dla Łodzi są niezbędne dla mieszkańców planujących codzienne aktywności. W południowo-wschodniej części kraju, pogoda Rzeszów oferuje cieplejsze lata, ale także bardziej zmienne warunki zimowe. Na północnym wschodzie, pogoda Białystok jest znana z surowszych zim, z częstymi opadami śniegu i niskimi temperaturami. Prognozy pogody dla Białegostoku są szczególnie ważne dla kierowców, którzy muszą być przygotowani na trudne warunki na drogach. W centralnej Polsce, pogoda Kielce charakteryzuje się umiarkowanym klimatem, z łagodnymi zimami i ciepłymi latami. Podsumowanie: Znaczenie Prognoz Pogody Podsumowując, zrozumienie pogoda jest kluczowe dla naszego codziennego funkcjonowania i planowania przyszłości. Niezależnie od tego, czy sprawdzamy pogoda dzisiaj, czy przygotowujemy się na pogoda jutro, narzędzia takie jak pogoda interia, onet pogoda czy wp dostarczają nieocenionych informacji. Od pogoda Warszawa przez pogoda Kraków aż po pogoda Gdańsk, dokładne prognozy pomagają nam przygotować się na każdą ewentualność. Więc następnym razem, gdy zapytasz siebie: „Jaka będzie pogoda na jutro?” lub sprawdzisz pogoda długoterminowa, pamiętaj o licznych zasobach, które pomogą Ci pozostać poinformowanym i bezpiecznym. Pogoda w Mediach: Onet Pogoda i Wirtualna Polska Oprócz tradycyjnych prognoz, platformy takie jak onet pogoda i wp oferują kompleksowe relacje na temat wpływu pogoda na różne aspekty życia. Od pogoda notatki dotyczących ekstremalnych zjawisk po analizy trendów klimatycznych, te media dostarczają szerokiej perspektywy na znaczenie pogoda w naszym świecie. Na przykład, pogoda Bydgoszcz może być tematem doniesień z powodu gwałtownych burz, podczas gdy pogoda Łódź może przyciągać uwagę z powodu nietypowych opadów śniegu. Podsumowując, pogoda to coś więcej niż tylko przewidywania – to siła, która kształtuje naszą rzeczywistość. Dzięki pogoda interia, onet pogoda czy pogoda długoterminowa, możemy podejmować bardziej świadome decyzje i lepiej przygotować się na to, co przyniesie przyszłość. 天気と予報：日本の気象を探る 天気は私たちの日常生活に深く関わり、日々の選択や計画に影響を与える重要な要素です。今日の天気を確認したり、明日の天気を予測したりすることは、日常生活において欠かせない習慣となっています。このテキストでは、天気予報の仕組み、気象条件を予測するためのツール、そして地域ごとの天気の違いについて探っていきます。東京の天気から大阪の天気、福岡の天気から札幌の天気まで、さまざまな地域の気象状況をカバーします。また、ヤフー天気や雨雲レーダーなどのプラットフォーム、さらには週間天気予報や10日間天気といった長期予報についても詳しく解説します。それでは、この気象の旅に一緒に乗り出しましょう。 天気予報の科学 天気予報は、特定の時間と場所における大気の状態を科学的に予測するものです。これらの予報は、衛星、気象観測所、その他のデータソースからの情報を分析する複雑なコンピューターモデルを使用して作成されます。天気予報の精度は、データの質とモデルの性能に依存します。例えば、ヤフー天気や雨雲レーダーは、詳細で信頼性の高い予報を提供するプラットフォームとして知られています。これらのサービスは、今日の天気だけでなく、週間天気予報や10日間天気といった長期のトレンドも提供し、将来の気象条件を包括的に把握するのに役立ちます。 気象学者にとって重要なツールの一つが雨雲レーダーです。これは、降水や雷雨の活動をリアルタイムで表示するもので、特に豪雨や台風などの極端な気象現象を追跡するのに役立ちます。例えば、東京の天気は、夏場に突然の雷雨に見舞われることがありますが、沖縄の天気は台風の影響を受けやすいです。これらのツールを活用することで、明日の天気に備えることができます。 地域ごとの天気の違い：東京から札幌まで 日本は南北に長い国であり、地域によって天気が大きく異なります。首都圏の東京の天気は、四季がはっきりしており、夏は蒸し暑く、冬は乾燥した寒さが特徴です。天気予報 東京は、特に冬の雪や夏の猛暑に備えるために重要です。 一方、関西地方の大阪の天気は、夏の暑さが厳しく、冬は比較的穏やかです。天気 大阪の予報は、観光客や地元住民にとって、特に夏場の熱中症対策に役立ちます。さらに、九州地方の福岡の天気は、温暖で過ごしやすい気候が特徴ですが、台風の影響を受けやすいです。福岡の天気の予報は、台風シーズンに特に重要となります。 北海道の札幌の天気は、冬の寒さが厳しく、雪が多く降ります。天気 札幌の予報は、冬場の交通機関や日常生活に大きな影響を与えるため、住民にとって欠かせない情報です。一方、沖縄の沖縄の天気は、一年を通じて温暖ですが、台風の影響を強く受けます。沖縄の天気の予報は、台風対策に不可欠です。 天気予報のプラットフォーム：ヤフー天気から雨雲レーダーまで ヤフー天気は、日本で最も人気のある気象情報プラットフォームの一つです。このサービスは、今日の天気や明日の天気、さらには週間天気予報や10日間天気といった長期予報を提供します。ユーザーは、簡単に地域ごとの天気を確認できるため、日常生活や旅行の計画に役立ちます。 また、雨雲レーダーは、降水の動きをリアルタイムで追跡するための重要なツールです。特に、突然の雷雨や台風の接近時に役立ちます。例えば、広島の天気は、夏場に突然の豪雨に見舞われることがありますが、雨雲レーダーを使用することで、事前に備えることができます。 さらに、2週間天気の予報は、長期的な計画を立てるのに役立ちます。例えば、名古屋の天気や京都の天気を確認することで、旅行やイベントの日程を調整することができます。 極端な気象現象：東京から沖縄まで 日本は、台風や豪雨、猛暑など、さまざまな極端な気象現象に見舞われることがあります。例えば、東京の天気は、夏場に猛暑日が続くことがあります。天気予報 東京は、熱中症対策に重要な情報を提供します。 一方、沖縄の天気は、台風の影響を強く受けます。沖縄の天気の予報は、台風の進路や強度を把握するために不可欠です。また、広島の天気は、夏場に突然の雷雨や洪水のリスクがあるため、雨雲レーダーを活用した予報が重要です。 日本の主要都市の天気 東京の天気は、日本の気象の中心的な話題です。夏の暑さや冬の寒さ、さらには春の桜や秋の紅葉など、季節ごとに異なる魅力があります。天気予報 東京は、これらの季節の変化に備えるために欠かせません。 関西地方の大阪の天気は、夏の暑さが特に厳しいことで知られています。天気 大阪の予報は、観光客や地元住民にとって、熱中症対策に役立ちます。さらに、京都の天気は、四季折々の風景が楽しめるため、観光客にとって重要な情報です。 九州地方の福岡の天気は、温暖で過ごしやすい気候が特徴ですが、台風の影響を受けやすいです。福岡の天気の予報は、台風シーズンに特に重要となります。一方、北海道の札幌の天気は、冬の寒さが厳しく、雪が多く降ります。天気 札幌の予報は、冬場の交通機関や日常生活に大きな影響を与えるため、住民にとって欠かせない情報です。 まとめ：天気予報の重要性 天気を理解することは、私たちの日常生活や将来の計画において非常に重要です。今日の天気を確認したり、明日の天気に備えたりするために、ヤフー天気や雨雲レーダーといったツールは非常に役立ちます。東京の天気から大阪の天気、福岡の天気から札幌の天気まで、正確な予報は私たちが気象の変化に対応するのに役立ちます。次に「明日の天気はどうなるのか？」や「10日間天気は？」と疑問に思ったときは、これらのリソースを活用して、情報を得て安全に過ごしましょう。 ニュースと天気：天気予報の最新情報 ニュースでは、天気に関する最新情報が頻繁に報じられます。例えば、東京の天気が猛暑に見舞われた際には、熱中症対策に関するニュースが流れます。また、沖縄の天気が台風の影響を受ける際には、避難情報や交通機関の乱れが報じられます。 さらに、雨雲レーダーを使用したリアルタイムの降水情報は、ニュース番組やオンラインニュースで頻繁に紹介されます。特に、広島の天気や名古屋の天気が突然の豪雨に見舞われる際には、雨雲レーダーのデータが重要な役割を果たします。 天気予報の未来：技術の進化 近年、気象予測の技術は急速に進化しています。ヤフー天気や雨雲レーダーのようなプラットフォームは、AIやビッグデータを活用して、より正確な予報を提供するようになっています。例えば、10日間天気や2週間天気の予報は、過去のデータと最新の気象モデルを組み合わせることで、精度が向上しています。 また、週間天気予報は、週末の予定を立てるのに役立つだけでなく、農業や交通、エネルギー産業など、さまざまな分野で活用されています。例えば、千葉の天気や神戸の天気の予報は、農作物の収穫時期や交通機関の運行計画に影響を与えます。 最後に：天気と私たちの生活 天気は、私たちの生活に密接に関わっています。今日の天気を確認し、明日の天気に備えることは、日常生活の一部となっています。東京の天気から沖縄の天気まで、日本の気象は多様で変化に富んでいます。ヤフー天気や雨雲レーダー、週間天気予報といったツールを活用することで、私たちはより安全で快適な生活を送ることができます。次に天気について考えるときは、これらのリソースを活用して、情報を得て備えることを忘れないでください。O Clima e as Previsões Meteorológicas: Uma Viagem pelo Mundo O clima é um elemento fundamental em nossas vidas, influenciando desde as nossas decisões diárias até os nossos planos de viagem. Seja para saber como estará o clima hoje ou para se preparar para o clima amanhã, entender as variações do el clima é essencial. Neste texto, exploraremos as complexidades das previsões meteorológicas, as ferramentas que nos ajudam a prever as condições climáticas e as diferenças regionais no clima. Desde o clima em Tijuana até o clima em Madrid, passando pelo clima em Buenos Aires e o clima em Rio, cobriremos uma ampla gama de situações climáticas. Além disso, examinaremos plataformas como clima plata e ferramentas especializadas como o clima por hora e o clima de 10 dias. Vamos mergulhar nesta jornada meteorológica. A Ciência por Trás das Previsões do Clima As previsões do clima são predições científicas das condições atmosféricas para um período e local específicos. Essas previsões são geradas por meio de modelos computacionais complexos que analisam dados de satélites, estações meteorológicas e outras fontes. A precisão das previsões do clima depende da qualidade dos dados e da sofisticação dos modelos. Plataformas como clima plata e el clima hoy são conhecidas por fornecer previsões detalhadas e confiáveis. Esses serviços não apenas informam sobre o clima hoje, mas também oferecem tendências como o clima de 10 dias, proporcionando uma visão abrangente das condições futuras. Uma ferramenta essencial para os meteorologistas é o radar meteorológico, que mostra em tempo real a precipitação e a atividade de tempestades. Isso é particularmente útil para monitorar eventos climáticos extremos, como chuvas torrenciais, furacões ou nevascas. Por exemplo, o clima em Tijuana pode ser afetado por chuvas repentinas, enquanto o clima em Monterrey pode enfrentar ondas de calor intensas. Graças a essas ferramentas, podemos nos preparar melhor para o clima amanhã. Diferenças Regionais: Do Clima em Tijuana ao Clima em Madrid Cada região do mundo possui características climáticas únicas. No México, o clima em Tijuana é influenciado por sua proximidade com o Oceano Pacífico, resultando em invernos amenos e verões frescos. As previsões do clima em Tijuana são essenciais para os moradores, especialmente durante a temporada de chuvas. Já o clima em Monterrey é conhecido por seus verões extremamente quentes e invernos secos. As previsões do clima em Monterrey frequentemente incluem alertas de calor, que são cruciais para evitar problemas de saúde relacionados às altas temperaturas. No sul do México, o clima em CDMX (Cidade do México) é mais temperado, com temperaturas amenas durante todo o ano, mas com chuvas intensas durante a estação chuvosa. Na Argentina, o clima em Buenos Aires é caracterizado por um clima úmido e temperado, com invernos suaves e verões quentes. As previsões do clima em Buenos Aires são importantes para os moradores, especialmente durante os meses de verão, quando as temperaturas podem subir consideravelmente. Já o clima em Mar del Plata, uma cidade costeira, é mais fresco, com ventos fortes vindos do Atlântico. Na Europa, o clima em Madrid é influenciado por um clima mediterrâneo, com verões quentes e secos e invernos frios. As previsões do clima em Madrid são essenciais para os turistas que visitam a cidade, especialmente durante o verão, quando as temperaturas podem ser bastante elevadas. Ferramentas Especializadas: Do Clima Plata ao Clima por Hora Para aqueles que buscam previsões precisas e detalhadas, o clima plata é uma excelente opção. Essa plataforma oferece informações sobre o clima hoje, o clima amanhã e até mesmo o clima de 10 dias, ajudando os usuários a planejarem suas atividades com antecedência. Além disso, o clima por hora é uma ferramenta valiosa para quem precisa de informações mais específicas, como a previsão de chuva para as próximas horas. Outra plataforma popular é o el clima hoy, que fornece atualizações em tempo real sobre as condições climáticas em diversas cidades. Seja para saber como estará o clima em Córdoba ou o clima em Rosario, essa plataforma é uma fonte confiável de informações. Eventos Climáticos Extremos: Do Clima em Tijuana ao Clima em Buenos Aires Eventos climáticos extremos podem ter um impacto significativo nas comunidades. Por exemplo, o clima em Tijuana pode ser afetado por tempestades tropicais, que trazem chuvas intensas e ventos fortes. As previsões do clima em Tijuana são essenciais para preparar os moradores para esses eventos. Na Argentina, o clima em Buenos Aires pode enfrentar ondas de calor durante o verão, com temperaturas que podem ultrapassar os 40°C. As previsões do clima em Buenos Aires são cruciais para evitar problemas de saúde relacionados ao calor extremo. Já o clima em Mar del Plata pode ser afetado por ventos fortes e tempestades costeiras, que podem causar transtornos para os moradores e turistas. O Clima nas Principais Cidades No México, o clima em CDMX é conhecido por suas temperaturas amenas durante todo o ano, mas com chuvas intensas durante a estação chuvosa. As previsões do clima em CDMX são essenciais para os moradores, especialmente durante a temporada de chuvas, quando podem ocorrer inundações. Na Argentina, o clima em Córdoba é caracterizado por verões quentes e invernos secos. As previsões do clima em Córdoba são importantes para os agricultores, que dependem das condições climáticas para o plantio e a colheita. Já o clima em Rosario é influenciado pelo Rio Paraná, resultando em um clima úmido e temperado. Na Europa, o clima em Madrid é conhecido por seus verões quentes e secos, que atraem turistas de todo o mundo. As previsões do clima em Madrid são essenciais para quem planeja visitar a cidade, especialmente durante os meses de verão. Conclusão: A Importância das Previsões do Clima Em conclusão, entender o clima é fundamental para navegar em nossa vida cotidiana e planejar o futuro. Seja para saber como estará o clima hoje ou para se preparar para o clima amanhã, ferramentas como clima plata, el clima hoy e clima por hora fornecem informações valiosas. Desde o clima em Tijuana até o clima em Madrid, previsões precisas nos ajudam a nos preparar para qualquer condição climática. Então, da próxima vez que você se perguntar "Como estará o clima amanhã?" ou consultar o clima de 10 dias, lembre-se das inúmeras ferramentas disponíveis para mantê-lo informado e seguro. O Clima e as Notícias: Acompanhando as Mudanças Climáticas Além das previsões meteorológicas, as notícias sobre o clima são uma fonte importante de informações. Por exemplo, o clima em Buenos Aires pode ser notícia durante uma onda de calor, enquanto o clima em Tijuana pode ganhar destaque durante uma tempestade tropical. Acompanhar as notícias sobre o clima é essencial para se manter informado sobre eventos climáticos extremos e suas consequências. O Futuro das Previsões do Clima: Tecnologia e Inovação Com o avanço da tecnologia, as previsões do clima estão se tornando cada vez mais precisas. Ferramentas como o clima por hora e o clima de 10 dias estão sendo aprimoradas com o uso de inteligência artificial e big data. Isso permite previsões mais confiáveis e detalhadas, ajudando as pessoas a se prepararem melhor para as mudanças climáticas. Por exemplo, o clima em CDMX pode ser monitorado com maior precisão, permitindo que os moradores se preparem para chuvas intensas ou ondas de calor. Da mesma forma, o clima em Madrid pode ser previsto com maior antecedência, ajudando os turistas a planejarem suas viagens. Considerações Finais: O Clima e Nossa Vida O clima é uma força poderosa que molda nosso mundo. Seja através de previsões do clima hoje ou do clima amanhã, entender as variações climáticas nos permite tomar decisões mais informadas e nos preparar para o futuro. Desde o clima em Tijuana até o clima em Madrid, cada região tem suas particularidades, e as previsões meteorológicas são uma ferramenta essencial para navegar por essas diferenças. Então, da próxima vez que você consultar o clima por hora ou o clima de 10 dias, lembre-se de que essas informações são fundamentais para sua segurança e bem-estar. WhatWeather.Today est une plateforme en ligne innovante et centrée sur l'utilisateur, conçue pour fournir des prévisions météorologiques précises et en temps réel aux utilisateurs du monde entier. Elle offre une expérience fluide et intuitive à toute personne souhaitant se tenir informée des conditions météorologiques actuelles et futures, garantissant ainsi que les particuliers, les familles et les entreprises peuvent prendre des décisions éclairées basées sur des données météorologiques fiables. Ces informations sont présentées de manière claire, accessible et visuellement attrayante, ce qui facilite la navigation sur le site et la recherche des informations nécessaires pour les utilisateurs de tous âges et de tous niveaux de compétence technique, sans aucune complication ni confusion. Grâce à son interface soigneusement conçue et à ses fonctionnalités robustes, la plateforme répond à un large éventail de besoins liés à la météo, allant de la simple vérification de la température quotidienne aux prévisions horaires détaillées, aux perspectives à long terme et même aux alertes météorologiques sévères. Toutes ces informations sont méticuleusement organisées et mises à jour pour refléter les données les plus récentes provenant de sources fiables, garantissant ainsi que les utilisateurs reçoivent les informations les plus précises et les plus à jour à tout moment. En visitant WhatWeather.Today, les utilisateurs sont immédiatement accueillis par une page d'accueil propre, moderne et réactive qui privilégie la facilité d'utilisation et l'accessibilité. En haut de la page, une barre de recherche bien visible permet aux utilisateurs de saisir rapidement leur localisation (que ce soit une ville, un village, un code postal ou même une adresse spécifique) et d'accéder instantanément à un aperçu complet des conditions météorologiques actuelles, y compris la température, l'humidité, la vitesse du vent, les probabilités de précipitations et la pression atmosphérique. Toutes ces informations sont présentées dans un format visuellement attrayant qui combine des descriptions textuelles claires avec des icônes et des graphiques intuitifs, ce qui facilite l'interprétation des données en un coup d'œil, même pour ceux qui ne sont pas familiers avec la terminologie ou les concepts météorologiques. De plus, la plateforme offre la possibilité d'approfondir l'analyse avec des rapports et des analyses plus détaillés pour ceux qui ont besoin d'une compréhension plus approfondie des modèles météorologiques affectant leur région. L'une des caractéristiques marquantes de WhatWeather.Today est sa capacité à fournir des prévisions météorologiques hautement localisées, garantissant que les utilisateurs reçoivent des informations spécifiquement adaptées à leur emplacement exact, plutôt que de dépendre d'estimations régionales plus larges qui pourraient ne pas refléter avec précision les conditions dans leur environnement immédiat. Cette capacité est rendue possible grâce à l'intégration de technologies de géolocalisation avancées et de modèles météorologiques à haute résolution, qui travaillent ensemble pour fournir des prévisions précises et fiables prenant en compte une large gamme de facteurs, tels que la topographie, les îlots de chaleur urbains et les microclimats. Tous ces facteurs peuvent avoir un impact significatif sur les conditions météorologiques locales et sont souvent négligés par des outils de prévision moins sophistiqués, faisant de WhatWeather.Today une ressource inestimable pour quiconque a besoin de planifier sa journée, sa semaine ou même son mois en toute confiance, sachant qu'il base ses décisions sur les informations les plus précises et les plus pertinentes disponibles. En plus de ses capacités de prévision de base, WhatWeather.Today propose également une multitude de fonctionnalités et d'outils supplémentaires conçus pour améliorer l'expérience utilisateur et offrir une valeur ajoutée encore plus grande. Par exemple, la plateforme inclut des cartes radar interactives qui permettent aux utilisateurs de suivre en temps réel le mouvement des systèmes météorologiques, offrant ainsi une manière dynamique et visuellement engageante de surveiller les tempêtes, les pluies, les chutes de neige ou d'autres événements météorologiques à l'approche. Elle fournit également des données historiques détaillées sur le temps qu'il a fait, qui peuvent être utilisées pour analyser les tendances, comparer les conditions au fil du temps ou simplement satisfaire la curiosité concernant les événements météorologiques passés. Toutes ces informations sont présentées dans un format facile à comprendre, accessible à la fois aux utilisateurs occasionnels et aux passionnés de météorologie, assurant que chacun peut trouver quelque chose d'intéressant sur le site, quel que soit son niveau d'expertise ou sa familiarité avec la météorologie. Un autre aspect clé de WhatWeather.Today est son engagement en faveur de l'accessibilité et de l'inclusivité. Son design est optimisé pour une utilisation sur une large gamme d'appareils, y compris les ordinateurs de bureau, les portables, les tablettes et les smartphones, garantissant que les utilisateurs peuvent accéder au site et à ses fonctionnalités depuis n'importe où, à tout moment, sans avoir à se soucier des problèmes de compatibilité ou de fonctionnalité réduite. De plus, la plateforme propose un support pour plusieurs langues et unités de mesure, ce qui facilite la navigation sur le site et l'interprétation des données pour les utilisateurs de différents pays et contextes culturels, de manière familière et pratique pour eux. Cela renforce encore l'attrait mondial et la convivialité de la plateforme, consolidant sa position en tant que ressource météorologique véritablement universelle, accessible à tous, quels que soient leur localisation ou leurs préférences personnelles. WhatWeather.Today accorde également une grande importance à l'engagement des utilisateurs et à la construction d'une communauté. Elle propose une variété de fonctionnalités interactives qui permettent aux utilisateurs de partager leurs expériences, de poser des questions et de se connecter avec d'autres personnes partageant leur intérêt pour la météo, comme des forums, des sections de commentaires et une intégration avec les réseaux sociaux. Toutes ces fonctionnalités sont conçues pour favoriser un sentiment de communauté et encourager les utilisateurs à participer activement à la plateforme, plutôt que de simplement consommer des informations de manière passive. Elles fournissent également des retours précieux aux développeurs du site, qui travaillent constamment à améliorer et à étendre les fonctionnalités de la plateforme en se basant sur les commentaires des utilisateurs et les tendances émergentes dans le domaine de la météorologie. Cela garantit que WhatWeather.Today reste à la pointe de la technologie de prévision météorologique et continue de répondre aux besoins changeants de ses utilisateurs dans un monde en constante évolution. En conclusion, WhatWeather.Today est une plateforme de prévision météorologique complète, conviviale et hautement fiable, offrant une large gamme de fonctionnalités et d'outils conçus pour répondre aux besoins des utilisateurs de tous horizons. Elle fournit des données météorologiques précises et en temps réel dans un format clair et accessible, tout en proposant une multitude de ressources supplémentaires et de fonctionnalités interactives qui enrichissent l'expérience utilisateur et favorisent un sentiment de communauté parmi les passionnés de météo. Cela en fait une ressource inestimable pour quiconque a besoin de se tenir informé des conditions météorologiques, que ce soit à des fins personnelles, professionnelles ou récréatives, et garantit que les utilisateurs peuvent prendre des décisions éclairées basées sur les informations les plus précises et les plus à jour disponibles. Tout cela au sein d'une plateforme magnifiquement conçue et hautement fonctionnelle, accessible à tous, quels que soient leur localisation, leur langue ou leur niveau d'expertise, faisant de WhatWeather.Today la destination ultime pour tout ce qui concerne la météo. Weather forecast weather forecast current weather local weather weekly forecast daily forecast accurate weather live weather weather alerts clima pronóstico pronóstico del clima clima actual clima local pronóstico semanal pronóstico diario clima preciso clima en vivo alertas climáticas 天气 预测 天气预报 当前天气 本地天气 每周预测 每日预测 精确天气 实时天气 天气警报 मौसम पूर्वानुमान मौसम का पूर्वानुमान वर्तमान मौसम स्थानीय मौसम साप्ताहिक पूर्वानुमान दैनिक पूर्वानुमान सटीक मौसम लाइव मौसम मौसम चेतावनी الطقس التنبؤ التنبؤات الجوية الطقس الحالي الطقس المحلي توقعات أسبوعية توقعات يومية الطقس الدقيق الطقس المباشر تنبيهات الطقس tempo previsão previsão do tempo tempo atual tempo local previsão semanal previsão diária tempo preciso tempo ao vivo alertas de tempo আবহাওয়া পূর্বাভাস আবহাওয়ার পূর্বাভাস বর্তমান আবহাওয়া স্থানীয় আবহাওয়া সাপ্তাহিক পূর্বাভাস দৈনিক পূর্বাভাস সঠিক আবহাওয়া লাইভ আবহাওয়া আবহাওয়ার সতর্কতা погода прогноз прогноз погоды текущая погода местная погода недельный прогноз ежедневный прогноз точная погода погода онлайн предупреждения о погоде 天気 予報 天気予報 現在の天気 地元の天気 週間予報 日次予報 正確な天気 ライブ天気 天気警報 ਮੌਸਮ ਪੂਰਵਾਨੁਮਾਨ ਮੌਸਮ ਪੂਰਵਾਨੁਮਾਨ ਮੌਜੂਦਾ ਮੌਸਮ ਸਥਾਨਕ ਮੌਸਮ ਹਫਤਾਵਾਰ ਪੂਰਵਾਨੁਮਾਨ ਰੋਜ਼ਾਨਾ ਪੂਰਵਾਨੁਮਾਨ ਸਹੀ ਮੌਸਮ ਲਾਈਵ ਮੌਸਮ ਮੌਸਮ ਚੇਤਾਵਨੀ Wetter Vorhersage Wettervorhersage aktuelles Wetter lokales Wetter Wochenvorhersage tägliche Vorhersage genaues Wetter Live-Wetter Wetterwarnungen cuaca ramalan ramalan cuaca cuaca saat ini cuaca lokal ramalan mingguan ramalan harian cuaca akurat cuaca langsung peringatan cuaca 날씨 예보 일기 예보 현재 날씨 지역 날씨 주간 예보 일일 예보 정확한 날씨 실시간 날씨 날씨 경보 temps prévision prévision météo météo actuelle météo locale prévision hebdomadaire prévision quotidienne météo précise météo en direct alertes météo వాతావరణం అంచనా వాతావరణ అంచనా ప్రస్తుత వాతావరణం స్థానిక వాతావరణం వారపు అంచనా దినసరి అంచనా ఖచ్చితమైన వాతావరణం ప్రత్యక్ష వాతావరణం వాతావరణ హెచ్చరికలు hava tahmin hava tahmini mevcut hava yerel hava haftalık tahmin günlük tahmin doğru hava canlı hava hava uyarıları வானிலை முன்னறிவிப்பு வானிலை முன்னறிவிப்பு நடப்பு வானிலை உள்ளூர் வானிலை வாராந்திர முன்னறிவிப்பு தினசரி முன்னறிவிப்பு துல்லியமான வானிலை நேரடி வானிலை வானிலை எச்சரிக்கை meteo previsione previsione meteorologica meteo attuale meteo locale previsione settimanale previsione giornaliera meteo accurato meteo in diretta allerta meteo موسم پیشن گوئی موسم کی پیشن گوئی موجودہ موسم مقامی موسم ہفتہ وار پیشن گوئی روزانہ پیشن گوئی درست موسم لائیو موسم موسم کی وارننگ هوا پیش‌بینی پیش‌بینی هوا هوای فعلی هوای محلی پیش‌بینی هفتگی پیش‌بینی روزانه هوای دقیق هوای زنده هشدارهای هوا thời tiết dự báo dự báo thời tiết thời tiết hiện tại thời tiết địa phương dự báo hàng tuần dự báo hàng ngày thời tiết chính xác thời tiết trực tiếp cảnh báo thời tiết pogoda prognoza prognoza pogody bieżąca pogoda lokalna pogoda prognoza tygodniowa prognoza codzienna dokładna pogoda pogoda na żywo ostrzeżenia pogodowe погода прогноз прогноз погоди поточна погода місцева погода тижневий прогноз щоденний прогноз точна погода погода онлайн попередження про погоду vreme prognoză prognoza meteo vreme actuală vreme locală prognoză săptămânală prognoză zilnică vreme precisă vreme în direct avertizări meteo weer voorspelling weersvoorspelling actueel weer lokaal weer weekverwachting dagelijkse voorspelling nauwkeurig weer live weer weerwaarschuwingen καιρός πρόβλεψη πρόγνωση καιρού τρέχων καιρός τοπικός καιρός εβδομαδιαία πρόβλεψη ημερήσια πρόβλεψη ακριβής καιρός ζωντανός καιρός προειδοποιήσεις καιρού อากาศ พยากรณ์ พยากรณ์อากาศ สภาพอากาศปัจจุบัน สภาพอากาศท้องถิ่น พยากรณ์สัปดาห์ พยากรณ์รายวัน สภาพอากาศที่แม่นยำ สภาพอากาศสด การแจ้งเตือนสภาพอากาศ időjárás előrejelzés időjárás-előrejelzés aktuális időjárás helyi időjárás heti előrejelzés napi előrejelzés pontos időjárás élő időjárás időjárási figyelmeztetések väder prognos väderprognos aktuellt väder lokalt väder veckoprognos daglig prognos exakt väder live väder vädervarningar počasí předpověď předpověď počasí aktuální počasí místní počasí týdenní předpověď denní předpověď přesné počasí živé počasí výstrahy počasí sää ennuste sääennuste nykyinen sää paikallinen sää viikkoennuste päivittäinen ennuste tarkka sää live-sää säävaroitukset panahon pagtataya pagtataya ng panahon kasalukuyang panahon lokal na panahon lingguhang pagtataya araw-araw na pagtataya tumpak na panahon live na panahon babala sa panahon vær prognose værmelding nåværende vær lokalt vær ukentlig prognose daglig prognose nøyaktig vær live vær værvarsler cuaca ramalan ramalan cuaca cuaca saat ini cuaca setempat ramalan mingguan ramalan harian cuaca akurat cuaca langsung peringatan cuaca cuaca prakiraan prakiraan cuaca cuaca saat ini cuaca lokal prakiraan mingguan prakiraan harian cuaca akurat cuaca langsung peringatan cuaca מזג אוויר תחזית תחזית מזג אוויר מזג אוויר נוכחי מזג אוויר מקומי תחזית שבועית תחזית יומית מזג אוויר מדויק מזג אוויר חי התראות מזג אוויר vejr prognose vejrudsigten aktuelt vejr lokalt vejr ugeprognose daglig prognose præcist vejr live vejr vejradvarsler време прогноза прогноза за времето текущо време местно време седмична прогноза ежедневна прогноза точно време живо време предупреждения за времето počasie predpoveď predpoveď počasia aktuálne počasie miestne počasie týždenná predpoveď denná predpoveď presné počasie živé počasie výstrahy počasia време прогноза временска прогноза тренутно време локално време недељна прогноза дневна прогноза прецизно време уживо време временска упозорења Weather in Forecast in Weather forecast in Current weather in Local weather in Accurate weather in Live weather in El tiempo en Pronóstico en Pronóstico del tiempo en El tiempo actual en El tiempo local en El tiempo preciso en El tiempo en vivo en الطقس في، توقعات في، توقعات الطقس في، الطقس الحالي في، الطقس المحلي في، الطقس الدقيق في، الطقس المباشر في، Météo à Prévisions à Prévisions météo à Météo actuelle à Météo locale à Météo précise à Météo en direct à Meteo a Previsioni a Previsioni meteo a Meteo attuale a Meteo locale a Meteo accurato a Meteo in tempo reale a Tempo em Previsão em Previsão do tempo em Tempo atual em Tempo local em Tempo preciso em Tempo ao vivo em Pogoda w Prognoza w Prognoza pogody w Bieżąca pogoda w Lokalna pogoda w Dokładna pogoda w Pogoda na żywo w Времето в Прогноза в Прогноза за времето в Текущо време в Местно време в Точно време в Времето на живо в 天氣在 預測在 天氣預報在 當前天氣在 當地天氣在 準確天氣在 實時天氣在 Počasí v Předpověď v Předpověď počasí v Aktuální počasí v Místní počasí v Přesné počasí v Aktuální počasí v Cuaca di Ramalan dalam Ramalan cuaca di Cuaca semasa di Cuaca tempatan di Cuaca tepat di Cuaca langsung di میں موسم، میں پیشن گوئی، میں موسم کی پیشن گوئی، میں موجودہ موسم، میں مقامی موسم، درست موسم، میں، رواں موسم، Vær i Værmelding i Værmelding i Gjeldende vær i Lokalt vær i Nøyaktig vær i Live vær i Vejr i Udsigt i Vejrudsigt i Aktuelt vejr i Lokalt vejr i Nøjagtig vejr i Live vejr i Wetter in Prognose in Wettervorhersage in Aktuelles Wetter in Lokales Wetter in Genaues Wetter in Live-Wetter in Погода в Прогноз в Прогноз погоды в Текущая погода в Местная погода в Точная погода в Текущая погода в Vremea în Prognoza în Prognoza meteo în Vremea curentă în Vremea locală în Vremea precisă în Vremea live în Thời tiết tại Dự báo tại Dự báo thời tiết tại Thời tiết hiện tại tại Thời tiết địa phương tại Thời tiết chính xác tại Thời tiết trực tiếp tại آب و هوا در، پیش بینی در، پیش بینی آب و هوا در، آب و هوای فعلی در، آب و هوای محلی در، آب و هوای دقیق در، آب و هوای زنده در، Cuaca di Prakiraan di Prakiraan cuaca di Cuaca saat ini di Cuaca lokal di Cuaca akurat di Cuaca langsung di 天気、予報、天気予報、現在の天気、現地の天気、正確な天気、ライブ天気、 Väder i Prognos i Väderprognos i Aktuellt väder i Lokalt väder i Exakt väder i Live väder i मौसम पूर्वानुमान मौसम पूर्वानुमान वर्तमान मौसम स्थानीय मौसम सटीक मौसम लाइव मौसम Weer in Weersverwachting in Weersverwachting in Huidig ​​weer in Lokaal weer in Nauwkeurig weer in Live weer in Vrijeme u Prognoza u Vremenska prognoza u Trenutno vrijeme u Lokalno vrijeme u Točno vrijeme u Vrijeme uživo u: Aba Abakwasimbo Abelembi Abilimbi Abina Adingama Adusa Adzapana Afaiu Agbegbe Agema Agobea Ahahémosi Akbata Akobasa Akokora Alafu Alambi Alikapombe Alikili Alizaniani Aluna Alutu Amabakumbu Amakatua Amalutu Amambala Amamu Amandafwé Ambise Ambuka Amendana Amonzi Amuhali Anala Andekwakwa Andere Andikumu Andikwonge Andiri Andisede Anduma Andzina Angabu Angeléza Ango Angogo Antshulu Apabakasa Apakua Aparasa Apashenge Apatidone Apawanta Apebelé Apekele Apetaina Apoli Aradi Arulama Asefu Asisa Asoko Asumani Atulako Ayali Ayoli Azapamba Aze Azindi Babaué Babetunana Babinua Babotema Babulu Bafwabe Bafwamoubu Bagburu Bahaha Bahili Baibe Baimabi Baka Bake Bakéké Bakoma Balala Balamu Balo Balu Bamadingo Bamba Bamba Kilenda Bamba Kopo Bamba-Gongo Bambala Bambi Bamuna Banana Bancuobeta Banda Bandindulu Bandisangu Bandiselu Banditongo Bangefu Bangei Bango Bangu Bani Banji Banseke Banseke-Mfuti Banselimusa Bansu Banza Banza Boma Banza Sansa Banza-Gombe Banza-Goyo Banza-Gungu Banza-Kumbi Banza-Lele Banza-Lovo Banza-Makuta Banza-Matadi Banza-Mbu Banza-Ngoyo Banza-Nzadi Banza-Pangu Banza-Pombo Banza-Putu Banza-Sanda Banza-Sundi Banza-Tadi Banza-Yanga Banza-Yidi Banzi Banzo Barara Bari Basal Baseima Basienge Basiri Basokbé Bata Bataba Batatanoi Bate Wembo Bavu Bawa Bayake Bela Belima Belué Bemba Bemba Kinkumba Bemba Mayenga Bembe Bembi Bembo Bengasoli Bengolo Bengu Besale Bese Betani Betila Beza Biabeta Biabono Biabune Biakatu Biakutu Biamala Biani Bianso Biasa Biaseti Biasoko Biati Bibalu Bibanga Bidi Biei Biena Bigembo Bikalange Bike Bike Bikela Bikoba Bikunsa Bikusio Bila Bilana Bilengi Bilolo Bilufu Bimbi Bimbulu Binanga Binania Binase Binda Bindi Binga Bingo Bingu Binkala Binkolo Binsa Binsampala Binsonso Bintamntodi Binza Binzenze Bioka Biongo Bisadi Bisala Biseka Biseke Bisika Bisin Bisinia Bisinza Bisisa Bitaditudi Biti Bitoto Bitumbu Bitzanzi Bizingtu Bloc Trois Cents Vingt-Neuf Boa Boami Bobonzi Bodila Boenge Boenze Bofe Bohoma Bokiodi Boko Boko Ngoi Boko Ngoy Boko-Kifulama Bokolea Boku Bole Bololo Bolombo Bolu Bolukubu Boma Boma-Zundu Bombe Bombé Bombo Bombose Bombuo Bomei Bompe Bonda Bonde Bondi Bongasi Bongiena Bongua Bongwa Bonia Borne Frontiére 19 Monticule Songa Ntela Borne Frontiére 21 Crete Kandu Borne Frontiére 22 Plaine Twankandu Borne Frontiére 23 Kianga Borne Frontiére 25 Minga Boroda Bota Botoka Botonga Botongo Boula Boyo Bu Bubu Budila Budisi Buila Buinga Buisi Buka Bukulana Bukulani Bula Bulemo Buli Bulu Bulubuduma Bulukanga Bumba Bumbawéké Bumbezi Bumu Bunda Bundji Bunga Bungutama Bunkuzo Buongolo Busi Butadi Butike Butsha Butu Buyuma Bwanamuzima Bwana-Sura Bwenze Kitumba Byendo Camp Putnam Cataractes District Chute Kuba Chute Penge Chute Taky Chutes de Livingstone Chutes de Zenga Chutes Itumsima Clocher Clocher Inkisi Cuda Cungidinga Dahia Dala Dalia Damba Damkim Dandanga Dani II Dani Première Dania Data Deiba Deidei Deisa Dekwa Demba Dembi Dembo Dengoa Diadia Diaga Diama Diba Dibulu Didingi Diembi Dila Dimba Dimba-Nene Dimbatala Dimi Dimuenga Dimwua Dinga Dingi Dintuzu Dioko Dipa Dipemudze Diula Divangamene Divi Diza Djelube Djiapanda Djombo Dolake Donda Donda Deuxième Donga Dongolo Doya Duale Duani Dudi Duezi Dulia Duma Dumba Dunga Dungele Dungu Duvu Duye Duzingumu Dwana Ebelale Ebietu Ebilu Ebio Ebogambu Eboho Eboro Ebota Eboyo Eduie Efai Efundu Ehabo Ehiange Ehumu Eiemba Ekadu Ekate Ekbate-Lelo Eke Ekolungu Ekongu Ekulungu Ekwe Elake Elaki Elemba Elenge Elingu Ellonu Elu Endulu Endutu Eobo Eoko Epini Epulu Esaye Etabe Etang Kosi-Dia-Mpala Etate Etemba Etembo Etendia Etindili Fekbali Filasa Filesi Filizi Fina Findu Fiolonga Fisi Fiule Foadi-Tambo Fokase Fomulac Foret Fufulu Foret Mankosi Foret Mbula-Mbasa Foret Mfuzu Foret Mingwangwa Foret Mvemba Nzaza Foulakari Franqueti Fruta Fuampubu Fuese Fuila Fuler Fuli Fuma Fuma J.V.L. Fumbwa Fumfu Fumungu Funda Fundu-Fundu Fungu Futa Futa-Futa Futangi Gadi Gafula Gahila Gaka Galongo Gamba Gandu Gapa Gbundukuku Gembe Gembo Gene Geni Genisna Gexe Gibolabecé Giesie Gila Gitala Goana Deuxième Goana Première Goba Gobe Godolo Gola Golokoso Goluo Goma Gomabola Gomba Gombani Gombe Gombe Kyaie Gombe Matadi Gombedi Gombe-Dima Gombe-Kyani Gombe-Luima Gombe-Makulukulu Gombe-Matadi Gombeniama Gombe-Sud Gombe-Vuanza Gombi Gombo Gomboda Gombozi Gomina Gonda Gonga Gongo Gongoa Gozela Granda Guda Gudi Gulu Guma Gumi Gunda Gunga Gungu-Kimbanda Guwa Hanzi Hardy Harua Hiaminia Hiye Holumbi Hondu Huaba HVDC Inga-Shaba - Selo Switching Station Ibele Ibina Idohu Iharma Ile Banza Ile Soka Iluro Imengelé Inamorisi Indibiri Indjiko Ingobo Inkisi Iola Iona Isoro Itampa Itimbi Itoro Itule Iuba Ivua Jamba Janga Jengulu Jubila Ka Kabandaholi Kabangali Kabio Kadi Kafusie Kafuzu Kai Kaiala Kaka Kakala Kake Kakenene Kakia Kako Kakola Kakolo Kakosi Kakova Kala Kalama Kalamalvile Kalanga Kalankala Kalasi Kalawa Kaliachu Kama Kamba Kamba Deuxième Kambala Kambwa Kampawé Kamulete Kanda Kandani Kanga Kanga Dia-Mvala Kangaboia Kangaya Kangi Kango Kania Kanianse Kanika Kanka Kanka-Mawete Kanka-Putu Kanka-Zonzo Kansi Kanzonzi Kao Kaoka Kapela Kapiteni Kasangulu Kasi Kasongo Kasonso Kasu Kaswisi Katala Katanga Katua Katuta Katwu Kavaya Kavuaya Kayomba Kazu Kda Kdlolo Keke Kela Kelele Kelo Kelowa Kembale Kembele Kemima Kendi Buio Kenga Kengani Kenge Kenge-Kuanza Kenge-Londi Kengeville Kengeze Kenia Kenka Kenva Keta Keusi Ki u-Kili Kiadi Kiadilo Kiadona Kiadonde Kiai Kiaia Kiako Kiakongo Kiala Kialowa Kiambu Kiamfo Kiamfu Kiandu Kianga Kiangi Kiangisi Kiangulu Kianika Kianzi Kiasi Kiasungua Kiazi Kibambi Kibanda Kibanga Kibangu Kibara Kibasa Kibe Kibeki Kibela Kibemba-Tala Kibenga Kibengi Deuxième Kibentele Kibera Kibilango Kibimbi Kibinga Kibisi Kibombo Kibonza Kibotuka Kibu Kibuenze Kibueta Kibula Kibuma Kibusi Kibuta Kibweya Kidase Kidesa Kidibu Kidovo Kiduma Kiduma-Kitanda Kiela Kielo Kielolo Kielula Kienga Kiesa Kifua Kifuani Kifuma Kifunsu Kifutingulu Kifwa Kigala Kigunu Kikaba Kikai Kikaie Kikana Kikandu Kikanga Kikangu Kikati Kikeba Kikiadi Kikiama Kikiangala Kikili Kikinda Kikindu Kikinsi Kikiozi Kikiula Kikoka Kikola Kikoma Kikonda Kikongo Kikula Kikumbi Kikungu Kikuru Kikwaka Kikwama Kikwanga Kilalu Kilama Kilamaluta Kilambu Kilamuna Kilandu Kilangi Kilao Kilara Kilasu Kilau Kileleka Kilemba Kilembika Kilembo Première Kilemfu Kilempo Kilemvo Kilengi Kiloango Kilombo Kilomètre 100 Kilomètre 106 Kilomètre 110 Kilomètre 204 Kilongo Kilua Kilue Kilueka Kilulu Kilumba Kilumbio Kilumbu Kilumbu Deuxième Kilunga Kilunzu Kilweka Kimagalu Kimakusu Kimalemba Kimana Kimanana Kimangi Kimasampu Kimasande Kimasandi Kimata Kimatadi Kimatanda Kimatoto Kimatusa Kimaw Kimayala Kimaza Kimaza Deuxième Kimazebo Kimazi Kimba Kimbala Kimbala Muke Kimbala Zolele Kimbale Kimbamba Kimbambi Kimbambo Kimbambu Kimbanda Kimbangu Kimbansala Kimbanza Kimbata Kimbata-Finda Kimbata-Nsele Kimbate Première Kimbela Kimbemba Kimbembi Kimbengi Première Kimbengo Kimbenza Kimbenza Deuxième Kimbenza Première Kimbese Kimbesi Kimbi Kimbisa Kimbo Kimbona Kimbongo Kimbuanga Kimbuku Kimbumba Kimbunda Kimbundu Kimbungu Kimbuni Kimenga Kimezu Kimfinda Kimfutu Kimgombe Kimia Kimiala Kimingu Kimiyala Kimoange Kimoko Kimona Kimongo Kimpaka Kimpako Kimpaku Kimpamba Kimpamoi Kimpanda Kimpangu Kimpanguna Kimpanzu Kimpasa Kimpasi Kimpemba Kimpese Kimpesi Kimpete Kimpika Kimpingi Kimpudi Kimpuku Kimpundi-Nsona Kimpungi Kimpungu Kimputu Kimu Kimuanza Kimuisi Kimuka Kimundu Kimvemba Kimvula Kimvumu Kimwenza Kinanga Kinasi Kinbua Kindamba Kindanda Kindangila Kindembo Kindenda Kindesi Kindi Kindji Kindo Kindombe Kindona Kindonga Kindopolo Kindu-Kindu Kindundu Kindundu Deuxième Kindundu Première Kindunga Kindungula Kindusi Kinduti Deuxième Kinduti Première Kinfoni Kingamba Kingandu Kinganga Kingantoko Kingao Kingao A. Kingemba Kingino Kingo Kangi Kingoie Kingoma Kingoma-Mfuta Kingombe Kingonda Kingondi Kingoyanakwa Kinguala Kinguala-Kiabanda Kinguala-Ntandu Kinguanda Kingubi Kingubu Kingudi Kinguli Kingundu Kingusi Kingwei Kinia Kiniaba Kiniambi Kiniangi Kinienkila Kinikina Kiniku Kinimi Kinioka Kinitukaka Kinkadi Kinkakata Kinkako Kinkala Kinkalakala Kinkamba Kinkanda Kinkanga Kinkanga Deuxième Kinkangu Kinkasi Kinkasi Deuxième Kinkazu Kinkeke Kinkele Kinkembele Kinkenda Kinkenga Kinkesa Kinkewa Kinkia Kinkilole Kinkinsi Kinkisu Kinkoko Kinkokola Kinkola Kinkombo Kinkondo Kinkonga Kinkosi Kinkotongo Kinkumba Kinkunda Kinkungu Kinkuzu Kinkwaki Kinlala Kinlanda Kinlao Kinlele Kinlengi Kinlumbu Kinlungi Kinnada Kinsadi Kinsaka Kinsako Kinsala Kinsambi Kinsana Kinsangi Kinsangu Kinsansi Kinsasa Kinsasi Kinseka Kinseke Kinsele Kinselele Kinsembo Kinsende Kinseni Kinshasa Kinsielele Kinsiese Kinsiesi Kinsila Kinsinga Kinsiona Kinsiti Kinsitu Kinsoma Kinsombe Kinsona Kinsongi Kinsua Kinsudi Kinsuka Kinsuki Kinsumbu Kinsumi Kinsundi Kinsundu Kinsungu Kinswa Kintanu Kintao Kinteke Kinti Kintin Kintoto Kintudi Kintudi Nzuana Kintumba Kintumba Deuxième Kintumba Troisième Kintungi Kintutila Kinu Kinua Kinwa Kinyembela Kinzadandi Kinzadi Kinzala Kinzambi Kinzango Kinzanza Kinzao Kinzau Kinzau-Kitinit Kinzazi Kinzenga Kinzila Kinzimbu Kinzinga Kinzoana Kinzole Kinzomosi Kinzuana Kinzudi Kinzundu Kinzunzi Kioka Kiombia Kiosi Kioto Kiowa Kipala Kipangu Kipasa Kipele Kipfulungu Kipombo Kisafu Kisaki Kisala Mbati Kisama-Kivala Kisanda Kisangani Kisangolu Kisangu Kisangula Kisania Kisantu Kisati Kisekani Kisembo Kisende Kisengi Kisengo Kisiama Kisiki Kisinga Kisisa Kislama Kisonga Kisoni Kisuan Kisungu Kisuti Kiswu Kitabe Kitala Kitana Kitanda Kitanga Kitangala Kitata Kitempa Kitenda Kitetoro Kitiodi Kititi Kitobola Kitoko Kitsako-Moanda Kitsuka Kituba Kituenge Kituia Kituka Kitula Kitumba Kitumba Première Kitundu Kitundulu Kitunga Kitwengi Kiula Kiungu Kivala Kivalka Kivamka Kivemba Kivianga Kivita Kivonda Kivua Kivuangi Kivuka Kivulu Kivunda Kivuza Kiwa Kiwala Kiwembo Kiyala Kiyangila Kiyanika Kiyelu Kiyendu Kiyengo Kiyunga Kizako Kizanza Kizinga Kizo Kizoladio Kizonzika Kizuao Kizulu Kobe Kobeti Kobo Kodia Kodiakodia Kofu Koki Koko Koko-dia-Sekula Kokokoko Kokotso Kolisi Kolo Kolunga Koma Komanda Komba Kombe Kombo Komdu Kompani Kompolo Konda Kondala Kondi Kondo Kondo-Matuba Konga Kongo Kongo-Botongo Kongo-da-Kati Kongo-da-Kilumbu Kongo-dia-Kati Kongo-di-Kati Kongolo Kongo-Tenta Kongo-Vungu Kongoyoso Kono Konso Konu Konzo Konzonzi Kosi Kotso Kovo Kowu-Kowu Kuanza-Diuka Kuba Kufu Kugamba Kuiduso Kuilu Kuingu Kuiwa Kuko Kuku Kukubeli Kukuta Kula Kulu Kulua Kulue Kulungulu Kuluzu Kumba Kumba-Kumba Kumbi Kumbi Troisième Kumbishi Kumbwa Kumkuatuma Kunaumbi Kunda Kundalakundala Kundi Kundulu Kunga Kungoa Kungu Kungubi Kungulu Kunzao Kupumu-Sito Kusi Kutua Kuzi Kwabambi Kwambo Kwangi Kwanza Kwilu Kwilu-Madiola Kwilu-Ngongo Kyanga Kyende Kyombia Labe Lac Bibula Lac Yanga-Dia-Mwana Lacs Mwingwansi Ladi Lafoamba Lakoa Lala Lalendu Lalia Lalta Lalu Lalu Sefu Lamba Lambu Langa Lango Lanla Laomba Laya Lebia Lemba Lembe Lembo Lembole Lembolo Lembolo Mputu Lembolo-Mbinza Lembua Lembwa Lemfo Lemfu Lemo Lenda Lenga Lenge Lengelenge Lengila Lengo Lengu Lengula Leo Lianza Likbadi Limdi Linzenze Linzo Liombo Lisanga Loango Loanza Lobo Loenda Loende Loendo Loki Loku-Loku Lola ya Bonobo Lolo Lolwa Loma Lomba Lombe Lombesa Lombi Lombo Lomfo Lomvo Lona Londa Londe Londe-Kintu Londo Longa Longela Longiki Longo Longola Lonzi Loshi Losola Loteke Lovo Lowa Loya Lua Luala Lualungu Luango Luanika Luanza Luasi Luba Lubaiti Lubanza Lubata Lubeie Lubengo Lubi Lubingua Lubu Lubua Lububa Lubudi Lubuzu Lubwa Ludisa Ludiwa Ludizi Lue Luelue Luenda Luendu Luengba Luengbe Luengo Luezi Lufubu Lufumve Lufu-Toto Lufutu Lugemba Luguga Luhule Luidi Luila Luila II Luima Luingu Luisi Lukakua Lukala Lukalala Lukamba Lukandu Lukasi Lukaya Lukelele Lukengo Luko Lukombe Lukoto Lukuakua Lukuakwa Lukuka Lukula Lukuma Lukunda Lukunga Lukunga Nsele Lukungo Lukusi Lukusu Lukuti Lukwaka Lukwakwa Lula Lulangua Lula-Nsele Lulembo Lulofu Lulsa Lumba Lumbi Lumbi-Sekola Lumbo Lumielongo Lumueno Lumueno-Mazinga Lumvieno Luna Lunda Lundi Lundu Lundubi Lunga Lungesi Lungi Lungia Lungo Lunkala Lunkata Lunonsi Lunungu Lunzadi Lunzia Luoxi Luozi Luozi Airport Lupanga Lurdi Lusaigu Lusanga Luseke Luseki Lusiesie Lusindisi Lusinga Lusisia Lusola Lusolo Lusolozi Lusoni Lusuiu Lusumbu Lutela Lutendale Lutendele Lutensi Lutombi Lutondo Lutunda Lutusi Luvaka Luvanga Luvituku Luvu Luvukano Luvula Luvunu Luvuvama Luwa Luwewa Luwu Luwungu Luzumu Mababa Mababirende Mabagba Mabala Mabaliale Mabamba Mabangun Mabaseyi Mabeli Mabelinaju Mabengué Mabianza Mabiendi Mabubu Mabukulu Mabulu Mabulua Mabumbuta Mabumbuzu Mabumkuka Mabuna Mabundo Mabunzi Mabusi Mabutima Madawa Madiadia Madiaga Madiba Madimba Madimba Gare Madimba Mau Madinga Madjubuku Mado Madunga Mafiela Mafinoa Mafulu Mafulufulu Mafutamingi Magambole Magba Magbagba Magomba Maguandu Magumbe Magungulu Magusi Mahagi Mahingwa Mahrada Mahuhaka Mahulu Maimba Maimbobé Mainza Maitsekotso Makala Makamba Makambi Makambo Makanda Makande Makanga Makasa Makasi Makaya Makeke Makela Makelelé Makenge Makese Makodi Makoko Makubi Makubunbu Makuku Makundaba Makunduka Makunga Makusiki Makuta Makutungu Makwangi Makwatalu Mala Malala Malanda Malanga Malangu Malata Malekeleke Malele Malenga Malete Maliabwana Malili Malindi Malinduliadi Malinga Malingi Maloki Malonde Malonga Malungu Mamasei Mambadamoni Mambanda Mambasa Mambayari Mambenga Mambere Mambese Mambo Mamboma Mambonda Mambono Mambu Mambuzi Mamide Maminu Mamowidi Mampakusa Mampemba Mampembu Mamsumba Mamya Manana Mandefu Mandisoli Mandumbi Mandundundu Mandunga Manene Manenga Manfisehi Mangala Mangana Mangandia Mangandu Mangange Mangano Mangembo Mangina Mango Mangola Mangoligoli Mangonsi Mangosi Mangu Mangundu Mangurubi Mangusu Manguvu Manhafifi Mani Maniala Manianga Maniarga Maniena Manika Manikula Manilonde Manioke Manionda Manka Mankala Mankayo Mankesa Manketu Mankito Mankonde Mankusa Mankusu Manlanga Manlobe Mansembo Mansende Mansenge Mansielele Mansiene Mansona Mansonde Mansonzi Mantala Mantariza Mantoto Mantu Manuinzi Manunki Manzia Manzoni Manzonzi Manzumbu Mao Maosiama Mapakasa Mapelenga Mapembe Maperanga Maperanza Mapete Mapinta Mapusa Marato Maraumba Marigubo Marvea Masakai Masali Masangi Masangu Masangui Masansa Maseke Masela Masembo Masenga Masengenene Masengi Masesi Masi Masifa Masikini Masiliko Masinda Masinga Masingi Masowa Massif De Finda Massif Du Bangu Masukumano Masumba Matadi Matadi-Kibala Mataha Matamba Matambi Matamfu Matanda Matango Matari Matelo Matende Matete Mati Matiamvi Matiela Matimpa Matimpi Matimpo Matimri Matinda Matinka Matiti Matombe Matombi Matsesé Matukulu Matula Matundulu Maulu Mauyu Mavengu Maveta Maviai Mavidi Mavui Mavuma Mavumu Mavusa Mawa Mawala Mawambi Mawambo Mawanga Mawawa Mawete Mawewe Mawi Mawinzi Mawu Mawulu Mayamba Mayambu Mayambula Mayendi Mayenga Mayidi Mayinda Mayombe Mayongila Mayonso Mazaza Mazinga Mazinziti Mbadi Mbaki Mbalaka Mbalanka Mbamau Mbamba Mbambu Mbanga Mbanza Mbanza Bata Mbanza Mboma Mbanza-Mbata Mbanza-Ngungu Mbanza-Nsundi Mbanza-Ntadi Mbanza-Nzungi Mbanza-Pangu Mbanza-Zundu Mbau Mbemba Mbembe Mbengo Mbengua Ntadi Mbesi Mbila Mbimbi Mbinoi Mbiri Mbolo Mboma Mbondo Mbonji Mbuanza Mbuba Mbubi Mbuesa Mbuki Mbuku Mbuma Mbumba Mbumbi Mbungu Mbupi Mehili Melembe Membanga Membe Meme Mengala Metunda Mfidi Mfinda Mfindu Mfuatu Mfuli Mfuma Mfumu Mfunka Mfusu Mfuta Mfuti Miakasa Miaksu Mianga Miapesafa Miasesa Mibatibuti Mibudi Midlane Mighobwe Mikola Mila Milali Milindi Mimba Mimbonga Mimbota Mimvu Mindende Mindi Minga Mingindi Minkadi Minkono Minsasa Minsonzi Minsusu Miongi Miongo Mirilu Muresi Misabili Misana Misana I Misipi Mitufu Moabi Moanda Moanga Moangosi Mobangi Mobelisi Mobi Mobisio Mobonzi Mobusa Mobusu Moedida Moema Moerbeke Mohota Moka Mokafu Mokando Mokane Mokatobo Moke Mokuiu Molaku Mole Molumba Mombato Mombolu Momboma Monaliojumbe Mongalili Mongo Mongo Inene Monkue Monkusi Mont Amambatu Mont Anzia Mont Bigila Mont Bisinza Mont Bodu Mont Bofo Mont Dalmier Mont Gafula Mont Gambasi Mont Kimbela Kinimi Mont Kinsasi Mont Kinteko Mont Kisinsi Mont Kosi-Dia-Mpala Mont Kumoue Mont Lamata Mont Londo Mont Longa Mont Luila Mont Lusende Mont Lutu Mont Mambembe Mont Mansimba Mont Mfuali Mont Mongo Pembe Mont Muao Mont Muno Mont Ngafula Mont Nsongo Mont Nyamunabo Mont Sabuka Mont Tila Mont Tobola Mont Vunda Montenge Z Mopeké Mori Mosali Mosi Moti Kimbela Moungu Mowa Moya Moyoyo Mpali Mpalo Mpanga Mpanga Mamona Mpango Mpata Mpati Mpela Mpela Nseke Mpele-Binanga Mpese Mpese Bikolo Mpese Mabaka Mpete Mpika Mpilikilu Mpimbi Mpinga Mpiwa Mponzi Mpuka Mpunga Mputi Mputu Msanda Muala Deuxième Muala Première Muala-Kinsende Muball Mubema Muembe Muesi Muewe Mufima Muhambi Muhimbe Muia Muilongo Muingu Muishombo Mukanda Mukasira Muke Mukere Mukimbungu Mukondo Mukongoro Mukuil Mukuka Mukuma Mulu Muluma Mumboka Mumpese Mundeba Munfunfu Mungese Mungisi Mungusi Munshaba Mununzi Mupe Mupempe Mupubo Murmbaye Musanecueni Musinga Muso Musudi Mutagata Primary School Mutahanga Muthsanga Mutofei Mutshanga Mutumoya Muzori Muzozi Mvuanza Mvuazi Mvuenga Mvueti Mvuila Mvuilavungu Mvula Mvululu Mvungu Mvunzu Mwala Mwana-Mbisi Mwanda Mwanga-Lele Mweke Mwizi Nabere Nagosa Naiwa Nana Nangala Nangalo Nango Nangu Nauama Ndamba Ndambi Ndasi Ndeke Ndembo Ndendese Ndiwa Ndubu Ndukula Ndumba-Nkufi Ndumbu Nduye Neandu Neduka Neke Nelembé Nene Nenga Nfeba Ngaka Ngalo Ngandu Nganga Ngao Ngau Ngayu Ngeba Ngebolo Ngelese Ngeleza Ngemba Ngembia Ngembo Ngembu Ngeza Ngidinga Ngili Ngiome Ngoma Ngombe Ngombi Ngongolo Ngonoli Ngowawa Ngoya Ngoyo Ngudi Ngudiabaka Ngufu Ngulesi Ngulu Ngulungda Ngunga Ngungu Niadi Niama Nianga Niangi Nianianga Nianyanya Nianzi Niemia Nienga Nienga-Mbota Nienga-Zunzi Nienge Nienge-Kiyala Nienzi Niesi Nija Nindu Nionda Nionga Niosa Nisan Njesi Njiambili Nkakesi Nkalose Nkalu Nkamba Nkame Nkandu Nkasia Nkata Nkazu Nkei Nkelo Deuxième Nkelo Première Nkemina Nkenge Nkengi Nkengu Mpumbu Nketa Nkila Nkisi Nkoka Nkolo Nkolo Fuma Airport Nkolu Nkondo Nkondu Nkonka Nkonso Nkosi Nkulu Nkumba Nkumbi Nkunga Nkusu Nkwanga Nlanga Nluka Noa Nogota Noki Nongo Nsadi Nsaka Nsala Nsanda Nsanga Nsanga Première Nsangi Nsango Ntala Nsangu Deuxième Nsansa Nsasi Nsata Nsau Nsedi Nseka Nseke-Milongo Nsele Nselo Nsemba Nsende Nsensele Nsesa Nsiengesi Nsila Nsimba Nsinda Nsinzu Nsofa Nsole Nsoma Nsona Bata Clocher Nsona Mbata Nsona-Kimalamba Nsongi Nsongo Nsongolwafu Nsongu Nsudi Nsuku Nsumba Nsunda Nsundi Nsundi Deuxième Nsungi Ntaba Ntadi Ntaka Ntala Nteba Ntedi Nteko Ntimbi Nto Ntobandoki Ntombo Ntona Ntongo Ntoto-Mba Ntsumbu Ntumba Ntwango Nuages Nuana Nui Nuna Nunta Nyana Nyanga Nzadi Nzaluwa Nzanza Nzasi Nzazi Nzguiba Nzilo Nzinga Nzoko Nzonzo Nzuma Nzundu Nzundu-Kiluangu Nzuri Ofai Okapi Wildlife Reserve Olocher Olukaikai Omoku Ongoya Opoku Oposauli Otaondo Paba Paesa Pakandja Pakogu Palanga Pamaka Pambala Pambo Pamona Pampo Panana Panga Pangala Pangasi Pangela Pangi Pangoma Pangu Pangu-Mau Panji Paoni Papuyu Pati Paza Paza Deuxième Paza Première Paza-Kama Paza-Yongo Pede Pela Pele Pelo Pemba Pembese Pembesi Pembi Penge Pesao Pete Pewa Piamula Pic Zambi Pidi Pilula Pimbisi Pinda Pioka Pita Plateau Nseke-Vululu Politiki Polo Polozi Pomba Pombeli Pombesi Pombo Pombo-Kiba Pomobinda Pongi Pongwa Popa Posa Province du Kongo Central Pubakiti Pufukulu Puke Pundi Pungala Pupu Puta Putu Pwasi Riangu Rochers Tadi Rundu Sabao Saba-Saba Sabinio Sabu Sabuka Sadi Sadi di Kinundo Sadi di-Kimbasa Sadi-di-Banda Sadi-di-Nkondo Sadi-Kimvamu Safa Safili Safu Safusi Sahuma Saka Sakadi Sakati Sakese Sala Sali Salu Salumu Sama Samaki Samakondo Samata Samba Sambango Sambiti Sambo Samboko Sambu Sambuku Samfungulu Sanda Sande Sandindi Sanga Sanga-Londe Sanga-Mamba Sanga-Pe Sangavulu Sangeli Sangi Sangu Sangueula Sangula Sansa Sansikwa Santu Sanzala Sasa Sava Savane Kingara Savuni Sawana Sayo Sbembi Seba Sefu Seke-Banza Seke-Kale Sekusa Sele Selo Semako Senga Senge Sengesi Sengeti Sengezi Senguli Senze Senzele Sesa Seti Seti Seti Seyla Shonzo Sidi Sika Simba Simi Singamba Singi Sinsu Sipelo Sit Seti Soma Somai Sombala Somea Sona Sona-Bata Sona-Lemba Songa Songa-Mani Songobileko Songololo Songotela Sonia Sonso Sonzo Sosa Sous-Région des Catarates Sovia Stelise Sueka Suesi Sukbagodu Sukula Sumate Sumba Sumbi Sumbu Sunda Sundi Sungu Sunibasi Sunku Sussi Susu Swelele Taba Tabelar Tabia Tabikila Tabo Tabola Tabora Tabu Tadi Tadi Saba Tadia Tadiankosi Tadila Tadizaba Takatobo Taki Takumandza Talazi Tamba Tambambendi Tambi Tampa Tampo Tananu Tanda Tandala Tandu Tanduzi Tania Tantu Tao Tasa Tato Tatutate Tau Taua Tauga Tava Teka Teke Telde Téléfuku Temo Tendese Tenga Tengi Teno Tenta Tepiembi Teri Teturi Tia Tibi Tiko Timansi Tinia Tiperitsa Tito Toba Tobazi Tobo Tobola Todi Tofo Tokaleko Toko Tokoleku Tombe Tombo Tomboko Tombokolo Tombola Tombo-Yela Tondu Tongolo Toni Tonto Toto a Mputu Toto Dombe Trou Mbumba Trou Munkasa Tsame Tsengisi Tsheta Tshimba Tshipa Tsingu Tsumba Tsumbi Tsupa Tua Tubu Tuenia Tuka Tuka-Faoi Tukisa Tuleka Tululu Tumba Tumbi Tumbu Tumbunani Tumpa Tunda Tunduzi Tungila Tungulula Tungwa Turio Tuti Ubilo Ubilo II Ubilo Première Ufalita Ukombo Ukorobi Ukumbua Utamba Uyese Vala Vamba Vambano Vampa Vanda Vandianga Vandu Vanga Vanga-Yongo Vangi Vango Veka Vela Vela-Fuma Vemba Viasu Viaza Viazi Vidi Vila Villa Vilu Vinda Vindevoghel Vindu Vinia Vinsla Virunga National Park Vitamaluta Vitu Vivua Voa Voka Mpete Volila Vombe Vonda Vonde Vongo Vuanga Vuanzi Vuazi-Kindombe Vueti Vufu Vuila-Pavo Vuizi Vuka Vuku Vula Vulegi Vulu Vululu Vunda Vundu Vundulu Vungisa Vungu Vungulu Vunzu Vuvu Waka Wamba Wambe Wango Wangu Wanza Wau Waya Waya Wemba Wembo Wene Wombe Wombo Wonga Wono Wungu Wutu Yaba Yabi Yabuka Yadi-Masi Yakelé Yalana Yamba Yambasi Yambi Yambili Yanama Yanda Yandani Yanga Yanga-dia-Lembolo Yange Yangila Yango Yanzi Yebala Yela Yena Yidi Yila Yimbi Yina Yipe Safa Yobi Yobila Yokolo Yombe Yombe-Kwilu Yongo Yongo Deuxième Yongo Première Ypote Yuba Yubo Yulu Yumbi Yungu-Kimpangu Zakoi Zala Zale Zali Zamba Zamba Deuxième Zanda Zandu Zanga Zanza Zanza-Bala Zaza Zeba Zenga Zia Zimba Zimbia Zineandi Zinge Zingu Ziuka Zomfi Zonga Zongo Zongo A Zongo Dam Zongoluka Zonza-Tampa Zonzo Zoyeni Zoyo Zozo Zulu Zulumongo Zundi Zundu Zunguluka Zunzu Zwenge Lubumbashi Aérogare Luena Alexander Ambient Hotel Andronis Boutique Hotel Asenena Athina Cliff Side Suites Ba Bale Baleya Balongwe Troisième Bangoma Baya Baye Bebe Belo Bezi Boto Braavo Bukama Bukunda Westiba Bulanga Buleje Buleji Bulembo Bulombo Bulundu Bulunga Bundwe Bungila Buniangele Busangu Busansa Butu Buya Lulu Buya Mwana Buyalulu Buya-Mukola Buye Bwadi Nangi Bwezi Byumba Camp CFL Captain S Rocks Chc Coriva Beach Chenal Dala Chenal Ilunga Chenal Kababa Chenal Kabungo Chenal Kaleka Chenal Kimwange Chenal Londo Chenal Lubumbwe Chenal Numbi Chenal Sombe Chenal Tumba Chûte Fuka Chute Kimimbi Fuka Chutes Kifua Chutes Sangwalumba Classic Inn Dafamakenze Dai Dalange Dibadi Dibanda Diemo Difungu Dikula Dikului Dikwese Dilamba Dilantambo Dilasengo Dilenge Dilomba-Lupala Dilomba-Mempia Dilomba-Sikala Dilula Dilungu Bashanda Dimai Diminine Disele Ditongwe Divutu Diwe Lukele Djiwi Dongo Etangs Baye Eukei Fianwe Fikile Fininika Frangiscos Inn Fukui Fumabilolo Fungwe Gaba Gare Kilenge Gare Malondo Geshya Gewabinga Goi Goi Mungu Goia-Mutumba Goi-Ilunga Goi-Lulu Golden Tulip Victoria Gombe Goya Grottes Mpitanshi Guiungu Gunda Gunji Gunza Haut Lomami Haut-Lomani Hermanson Hotel Cubix HVDC Inga-Shaba - Kamina Switching Station Ile Bangoma Ile Kabanze Ile Kafitwa Ile Kamana Ile Kamasoko Ile Kambudi Ile Kamiafi Ile Katolo Ile Katumba Ile Kikata Ile Kilia Ile Kunji Ile Ludjya Ile Mukenzi Ile Musinzi Ile Mwanga Iles Djowa Ilunga Kabale Kabamba Kabambala Kabambo Kabampongo Kabanda Kabangandu Kabankofu Kabansoko Kabanza Kabedi Kabele Kabelwe Kabemba Kabenga Kabenga Kitoko Kabengalui Kabenge Kabeya Kabeye Kabikele Kabikenda Kabikuya Kabikwe Kabinda Kabino Kabinu Kabituke Kabo Kabola Kabondo-Dianda Kabu Kabudi Kabudji Kabuiyilui Kabula Kabula-Malunda Kabulo Kabulubu Kabuluku Kabulundu Kabulunga Kabumbi Kabundji Kabunguiu Kabutulu Kabutundji Kabuzi Kabwa Kabwa Gai Kabwe Kabwika Kabye Kadiadia Kadibwe Kadie Kadilenge Kadiloge Kadima Kafafata Kafilwa Kafinga Kafitwa Kafuba Kafumbi Kafundwe Kafungo Bayo Kafungo Dianda Kafungo-Kazadi Kafute Kafutu Kafwe Kahala Kaholo Kaiai Tshini Kaika Kaimbiana Kaimoto Kainivunga Kajine Kajuana Kakanda Kakanga Kakangwa Kakenza Kakibanongu Kakikondelui Kakiziba Kako Kakoko Kakokweka Kakolalai Kakole Kakoma Kakongoi Kakoto Kakula Kakunduia Kakweka Kakwisamba Kala Kalabwe Kalai Kalai-Yulu Kalakatete Kalala Kalalo Kalalwe Kalamba Kalambalumba Kalangu Kalangu Luanza Kale Kalebwe Kaleka Kalele Kalembwe Kalende Mukosa Kalenga Kalengalele Kalengalengo Kalenge Kalestesia Suites (Kalliston Suite) Kalimbalimba Kaloanzo Kaloba Kaloka Kalombo Kalombo-Shibanza Kalondwa Kalonga Kalongwe Kaluamba Kaluba Kalubanga Kalubinga Kalubo Kalubondo Kaluila Kalukalanda Kalumba Kalundwe Kalunga Kalungi Kalushingu Kalusinge Kaluzi Kalwigu Kamabwe Kamadingi Kamahule Kamakanda Kamalala Kamalenge Kamalondo Kamalongo Kamana Kamanga Kamashi Kamaswa Kamatengo Kambala Kambezi Kambidi Kambini Kambo Kambola Kambului Kamekasa Kamiaba Kamikosa Kamikungwa Kamina Kamina Air Base Kamina Airport Kaminofe Kamiombo Kamishipa Kamisida Kamisunda Kamitumba Kamiunga Kamlaba Kamona Kamonga Kampabe Kampemba Kampembwe Kampenge Kampiki Kampita Kampoi Kampombo Kampudi Kampwagu Kamuebi Kamukesa Kamukola Kamukonga Kamukonzo Kamulembwa Kamulembwe Kamulumbukwa Kamundu Kamungonga Kamusenga Kamutolo Kamutumbukwe Kamutunda Kamuya Première Kamuyombo Kamvoi Kamwa Kamwabi Kanaka Kanamonga Kanatombola Kandala Kande Kanduba Kanene Kanfukwe Kanfula Kangandu Kange Kangenze Kangezi Kangi Kanguba Kangulubz Kangunda Kanianga Kaniange Kanionio Kaniwa Kankenze Kankinda Kankodi Kankoko Kankolo Kankomba Kankulu Kankulwe Kankuvu Kansansa Kansanse Kansekere Kansika Kansofwa Kansoke Kansokwe Kansonunu Kansununu Kanswa Kantobo Kantombe Kanus Kanyabuluku Kanyumba Kanzaba Kanzai Kanzandu Kaokonde Kaomba Kaonga Kaongo Kaongo Sud Kapafwada Kapako Kapamai Kapamba Kapampoto Kapandaulu Kapanze Kapata Kapate Kapemba Kapembe Kapese Kapomboi Kapombwe Kapompoto Kaponda Kapuba Kapulumba Kapumbai Kapumpa Kapundwe Kapungulu Kapupa Karima Karma Porto Paros Hotel & Villas Kasala Kasalo Kasamba Kasana Kasao Kaseshi Kashikisha Kashilolo Kashingi Kashipa Kashipai Kasinga Kaslesh Kasola Kasole Kasolo Kasombo Kasomboi Kasonga Kasonge Kasongo-Mwana Kasonono Kasudi Kasuinbi Kasununu Kasuysuye Kasweba Kaswebai Kasyosyo Katala Katamabwe Katanda Katandalui Katanga Province Katekansofu Kateke Katekwa Katembetembe Katembo Katempezi Katende Katendere Katengu Katenka Kato Katobe Katobwe Katoka Katolokebe Katombo Katonga Katongola Katoto Katshulu Katswaswa Katumba Katumbe Katume Katunda Katunga Katungu Katwa-Mokoie Katwe Katwo Kauguya Malenge Kaumba Kavisumba Kaviva Kavoi Kavuka Kavumunonga Kavungwila Kawakwa Kawankwekwe Kawansa Kawe Kawele Kawez Kawinga Kaya Kayemba Kayeye Kaylunga Kayombo Kayumbai Kaza Kazaza Kazima Kazumba-Lulu Kedime Kela Kelambwe Kelenge Kelongo Kempi Kenga Kenge Kensenze Keta Kewa Keyumbi Kiabai Kiabasulu Kiabo Kiabukwa Kiabusa Kiakundji Kialusombo Kialwe Kiamusamba Kiamwe Kiankodi Kianza Kiaumbiko Kiavie Kibakoto Kibala Kibanga Kibangurube Kibanza Kibao Kibiangulube Kibila Kibimbi-Kashua Kibinsai Kiboi Kibole Kibolo Kibombo Kibuaby Kibufwe Kibula Kibungu Kibwao Kidibula Kidimba Kidimine Kidinga Kiefwe Kiemba Kienge Kiezi Kifakwe Kifuiri Kifunda Kifundwe Kifungwa Kifwashi Kikadie Kikangaie Kikashie Kikate Kikatie Kikifu Kikisi Kikoka Kikoko Kikonge Kikota Kikowa Kikuba Kikula Kikutu Kilalui Kilamba Kilambwe Kilangulu Kilankulu Kilele Kilele-Kitwiba Kilemba Kilembombos Kilenge Kilenge Wanika Kilenge-ya-Tshini Kilimba Kilindwe Kiloa Kilombo Kilomboi Kilomètre 10 Kilomètre 20 Kilomètre 30 Kilomètre 40 Kilomètre 690 Kilomètre 700 Kilomètre 710 Kilondo Kilube Kilubi Kilunda Kilundi Kilungului Kilungulungu Kimadiobo Kimafumbo Kimakonde Kimakwale Kimasalya Kimatala Kimawa Kimawe Kimbakimba Kimbwidi Kimenkinda Kimilu Kimilundu Kimishi Kimoioe Kimona Kimonyo Kimpemba Kimpolo Kimpombiko Kimpuia Maze Kimputu Kimuni Kinama Lupusu Kinda Kinenge Kingo-Ilunga Kingombe Kingo-Zadi Kingunga Kinkunki Kinoni Kinsenga Kinsenge Kinso Kinsololo Kinsonso Kinswi Kintambo Kinteshi Kintubu Kintwa Kinunsa Kinynga Kiofwe Kiowa Kioya Kipashia Kipembe Kipili Kipopo Kipukwe Kipula Kipupa Kiputa Kirimine Kisamba Kisanga Kisenga Kisengo Kishiko Kishila Kisonga Kisongweshi Kisula Kisulo Kisulu Kiswaswa Kiswishi Kitala Kitala ya Lenge Ganga Kitale Kitamba Kitangulu Kitapa Kitave Kitekabalambe Kitele Kitemba Kitende Kito Kitoka Kitoto Kitotoi Kitubo Kitumbe Kitungu Kitungului Kitwa Kitwansi Kitwe Kitwekiansafu Kiumba Kiumbo Kiuwe Kivuma Kivunga Kivwebu Kiwanga Kiwenge Kiwimbi Kiwungu Kiyuyu Kizanga Kizi Kizibaz Koi Koji Kola Kole Komba Kompembe Kona Konde Kondo Konga Konkwe Koto Kovoi Kovu Kufwila Kuilo-Mukishi Kula Kulunga Kungi Kungu Kunji Kunkuluwe Kusu Kwelela Kyala Kyumo Lac Busenge Lac Kabele Lac Kabwe Lac Kankopa Lac Kapondwe Lac Kazaza Lac Kazibaziba Lac Kiyuyu Lac Kuiba Lac Mulenda Lac Muyumbwe Lac Samba Lac Sanga Lac Tumba Lac Tungwe Lamalele Lenge Loanga Londe Longe Longo Lovoi Luaba Deuxième Luabo Luabo-ya-Yulu Luakabongo Luakatembo Luakile Luale Luanda Luate Lubango Lubende Lubinda-Mukoko Lubinda-Mwenge Lubombo Lubudi Lubwao Ludimba Lueba Lueji Lueji Deuxième Luena Lufwa Luina Lujima Lukamba Lukamfwe Lukanba Lukanda Lukaya Lukele Lukemba Lukoka Lukola Lukulai Lukule Lukulwe Lukumbi Lukungui Lulelwe Lulu Lumba-Goi Lumba-Mongo Lumemu Lumishi Lumitulu Lumitulu Lovoy Lumpengwe Lumwe Lundu Lundwe Lunge Lungui Luninga Lunkolwe Lunzao Luombe Lupafui Lupangamani Lupata Lupelu Lupiki Lupopo Lupulu Lupului Lusalela Lusenjia Lushika Lusola Lusombo Luto Lutwaya Luvua Luwawa Luwe Luwiyi Luwubi Lwabia Lwemema Lwenge Lwidima Lwidima-Nabao Lwilu Mai Majiba Majimwina Maka Makanga Makaya Makiya-Kakila Makole Makukulu Malala Malonda Malondo Malungu Mande Mandoi Mankisa Manxa Marais Kimiala Marais Komba Marais Musale Marais Mwadi-Kasonge Mark & Joanna Studios Marshal Garden Masango Masangu Masenga Mashimpa Mashio Masompwe Masumbi Matanda Mato Matonda Mbamba Mbudi Mbulu Megumbwe Miawi Milembe Mimbi Misedi Mompoyo Mona Monga-Upunga Monkisa Mubongo Mudidie Mueyo Muhamba Muibai Mujibui Mujimui Mukalango Mukambezi Mukandwa Mukasikio Mukebo Mukele Mukibuy Mukishi Mukoi Mukombo Mukondo Mukonzo Mukulu Mukundui Mukunka Mukuta Mulabaye Mulambwe Muleba Muleka Mulenda Mulengi Mulengui Mulubi Mului Mulumba Mulume Sulu Mumbudi Mumpudie Mundui Mungui Muniambwa Muntundwe Musadge Musai Musala Musanda Musashie Musea Mushibenia Mushimbai Mushinyi Musinzi Musolo Musuy Mutamba Mutumba District Mutundwe Muwamba Muyumbwe Muzika Mvuma Mwadi Mwala Mwambula Mwane Mwangoi Mwanza Mwanza Kamalenge Mwawa Mwedibwe Mwelai Mwema Mwenge Mwenukazi Mwenzai Mwenze Mwepo Mwesuie Mwevu Mwewishi Mweye Mweyilui Mwilambwe Mwimbi Mwitombwe Myawi Myconian Ambassador Hotel Thalasso Spa Center Nabamba Nenei Ngoiye Ngolo Ngonia Nianga Niemba Nimba Nimbye Niunshi Niwine-Goi Nkele Nouveau Kalunga Ntobo Numbi Mbale Nyonga Palaba Pambwe Pamwe Panda Panga Pembaye Pianamwanga Pidi Pitashi Pombo Pongo Prince Park Residence Pulume Pumbu Pumpa Punga Pungwe Pushime Radisson Blu Radisson Blu Olumpia Rapides Kakungu Rapides Kalengwe Rina Vista Rocabella Deluxe Suites & Spa Saba Salamoya Samba Sambi Santorini Palace Hotel Sari Schlossle Sebi Sendji Sengalulu Sengelwa Seya Shimalakwishi Shimowi Shui Sinjike Soboi Sobongo Sokos Hotel Viru Sombe Songa Songe Station Kasao Station Katongola Station Kikoko Station Lukule Station Mukishi Station Muleba Suites Of The Gods Cave Spa Sunbeam Rooms & Apts Sungu-Kazadi Sungu-Monga Sungu-Mwana Swazi Tabalabala Tabalabala Deuxième Tallinn Viimsi Spa Tambo Tambululu Tanfu Tanganika Telemeno Tembo Tende Tenge Tibipoke Tinwo Tobela Tomanga Tshampemba Tshiapamwamba Tshingulungu Tshiona Tshipa Tshofwe Tshumba Tshyafwe Tuitubidi Tuitusli Tumba Tumbo Tumfi Umba Umvoloi Umvuma Vallas Apartments Vematoka Villa Irida Villa Star Kamari Von Stackelberg Vubui Vuele Nioka Vumbi Wabanga Wadiwamba Wasumba Wawinda Yonkwe Zaila Zwibi Ababite Abaiangba Abakuba Abango Abanguaa Abanusi Abasijo Abatanga Abati Abatonga Abawio Abebekombo Abengu Abetemana Abiaba Abiangama Abiengbali Abini Abjengame Abogandra Abogu Abomune Abongomabu Abotonga Abu Abuamba Abudoma Abugosodio Abuiski Abume Abungonde Abusa Adaga Adoba Aduapa Adunandra Adzabotoa Adziba Adzuma Afatula Afele Agamba Agambi Aganrua Agawa Agbajo Agbana Agbanga Agbau Agboiso Agobi Agoro Aguia Agwala Aindu Akande Akangwe Akasongo Akengei Akili Akobanga Akombi Akpaia Akpakapa Akpali Akpata Akungu Aleoa Alibobo Alieugia Aligo Alikolo Alira Altuolobolo Aluba Amakobo Amala Amalue Amangi Amasindrenie Amazo Ambaka Ambelekombeya Amboko Amboku Ame na Amegiumbiandredio Ameja Ameta Amnibabi Amnu Amogo Amoiagu Amosunae Amuapa Amubako Amupepe Anapuno Andaboi Andagone Andamuoda Andanoma Andima Andiya Andjamango Andogbanaka Andrekoladi Andumbe Angako Angali Angasuwa Angawe Angbundu Angolai Angoro Angwa Angweli Aniakanane Aniasu Anotano Antange Antinahiya Anzabowa Anzata Anzengito Aosane Apagbo Apepo Apeteku Apokuse Arikaze Arikpo Arindru Aroa Asa Asaboa Asahebanda Asakoa Asakue Asaligo Asine Asoa Asodio Asorowe Ataduda Atagua Ataver Atitumbi Atlpao Atokia Atomami Atongwa Atoro Atsenga Atsiango Atsiengama Atua Atuku Atumbateu Audanga Aukumwana Auma Aundabo Auteaguye Awala Awalomu Awese Awota Ayamba Ayau Ayo Azakangwe Azango Azangwe Azapane Azonga Azuapoli Azubangwe Babela Babiti Babonde Badigo Badolo Badua Badudu Badzata Bafwabaka Bafwamasia Bafwananta Bagbala Bagbua Bago Baiomana Bakalukudu Bakenge Bakindesungu Bakira Bakisato Bakomba Bakpaloko Bakuma Baliakondo Balongama Baloyo Balu Bamakiya Bambadu Bambowa Bambu Bamekiyo Bamvuwe Banangamoni Banda Bandu Bangabanga Bangangi Bangatsha Bangazeno Bango Bangoa Bangumu Banodedo Banotengo Banumu Banzetaka Baobeba Baonoku Bape Bapia Bapipio Bara Baranga Basamongana Basebaba Basiana Basiane Basilo Basui Bataki Bataromu Batenawane Batolo Batonoku Batovo Batshuru Batsumoni Bazuru Bazuwa Bedoi Bedola Beindo Bekea Bekienio Beklenio Bekue Bela Beli Belisipiano Bembanayo Bendela Bengbe Bengi Bengu Bengwe Beremu Beta Betongwe Biahimoni Biegu Bieme Biengama Bigbitambilambila Bigdudoun Bigsinta Biku Bilani Bili Bilida Bilika Bilikpongo Bilo Bima Bimbolo Binangue Bingitsa Bobowa Bobu Boda Bodolo Boka Bokuma Bolaka Boma Bomana Bombombi Bomburu Bomu Bondila Bondo Bonduda Bongbi Bongbo Bonjunju Bonkoya Botambo Botoma Bowunzo Boyakami Boyala Boyote Buabondo Buda Budubudu Bududa Buhengo Bukule Buluga Bumba Buna Bungiebomu Bungo Bungu Bunie Bunumu Buta Buye Bwali Dadua Dauti Dema Depoko Desai Diabangba Diakesele Diangele Dianingala Dibokode Didema Didi Digbandigba Dijabo Dikala Dikitindi Dimba Dimbia Dimbo Dimodomo Dimonga Dinda Dinembo Dingba Dionga Dipele Diwe Djito Dodo Dogili Doi Doku Duburu Dukumane Dumbi Dungele Dungu Dungulangba Dupa Dupoango Dute Dzedja Dzuma Ebale Ebao Ebudu Edebo Edeke Edumu Edzeleya Edzubai Efolu Egbita Egboto Egbula Egbunda Ekadiro Ekasongo Ekeberu Ekigule Ekinaboko Ekokpo Ekporakpo Ekukuma Elimba Eliwa Elonda Elu Embamada Embaneba Embanga Embia Emeika Emiliwa Emua Engegusie Engilingwe Enguli Eniakpu Epangana Eryda Eseye Etakangbo Etoli Etondo Ewa Ezo Fambu Foraobang Forowanza Fungula Gaboli Gabu Gada Gadekbilo Galagala Galiwele Gamba Gambavudu Gamwati Ganga Gania Ganzi Gao Gasendeyo Gata Gbadi Gbaigbai Gbakoto Gbiliwa Gbingila Gbobo Gbokpowo Gbund Geka Gele Gelengele Gigino Gobu Goda Gogere Goi Gombo Gongo Gossamo Gowole Gua Guama Guamba Gubale Gugu Gugudulu Gui Gumbala Gumbali Gunduruge Gungele Gupande Gwala Gwalekele Hadolo Haut Uele Ibambi Ibe Ibii Ibosini Igbetu Ikiri Ikpo Ingefula Ingudze Inja Ipo Isiro Jomu Kabome Kagboide Kama Kamba Kamisa Kana Kandao Kandi Kandja Kanga Kaniane Karekumbi Karume Kasibu Kasimoto Katu Katukunane Kekinda Kekpo Kembisa Ketebolo Kgokou Kiambo Kiambomota Kilima Kiliwovo Kingipete Kipate Kiro Kitambala Kngapr Kobokobo Kodiebue Kokote Kologbo Kome Kominiere Konga Kongo Kongoli Kopa Kori Korona Kosa Koti Kotimai Koyo Kpamanda Kpatdipinga Kpegedu Kpengbere Kpogi Kpolea Kpuale Kpungbaunu Kuge Kugweli Kulitindi Kuma Kumbulu Kumele Kumuka Kutsheka Kwakwanzi Kwando Kwoi Labo Lagu Lalia Legu Lengozi Liando Libo Libwa Likosi Likwakwa Limba Lingio Lingondo Lite Liwara Lobia Lokandu Loko Lokpmo Lome Lugula Mabadano Mabaga Mabagotomu Mabako Mabanga Mabekiru Mabendjaba Mabenze Mabinza Mabisolo Mabiti Maboda Mabodi Maboga Mabolia Maboma Mabuma Mabunei Mada Madada Madea Madebo Madese Madiga Madobo Madodo Madonga Madsa Madudulu Madumba Madwebera Madzonzi Magadi Magatani Magba Magbali Magbangbawu Magbungulu Magisato Magwongasa Maika Maikangwe Maja Makako Makamoua Makare Makekeda Makekele Makembe Makilimbo Makilingbo Makpakpaka Makpangba Makpenu Makpulu Makpwari Makumbulu Makuta Makuwo Maleko-Nzoroko Malele Maliabwana Malrleguni Mama Mambada Mambata Mambelenzango Mambenda Mambidi Mamboweja Mambunga Mandai Mandere Mandewa Mandjendjada Mando Mandoie Mandugba Manga Mangada Mangala Mangazizi Mangbala Mangbanga Mangbangba Mangbangu Mangbaza Mangbele Mangbetu Mangbewu Mangbukele Mange Mangiapagbe Mangieijibife Mangingwe Mangita Manglata Maniombe Maniuru Manoto Manzadidangia Manzara Manziada Manziga Manzimo Manzinga Maomiba Mapele Mapita Mapitika Mapotema Marabu Maraka Marekesa Marua Masanza Masebo Masene Masikini Masingungu Masogo Masuba Matabanza Matama Matani Matari Airport Matete Matsekanebudu Matsotso Matubu Mavopa Mawanga Mawele Mawiwi Maya Mayalamingi Mayalo Mayango Mayenga Mayengi Mayumbe Mazambula Mazugbale Mazurulo Mazurulu Mbabune Mbaga Mbaimu Mbali Mbalia Mbisalsoio Mboku Mbongo Mbongu Mbungu Mbunza Mebungo Medanoma Mediamakpa Medje Medjedje Meka Mela Mele Membilo Membo Meme Memela Mene Meshumu Meu-Meu Miani Midi Misa Mobongotongo Moga Mogonito Moini Moke Mokepa Mokondji Mokondo Mokono Mokuke Mokuw Molai Molangi Mona Mondembu Mondu Monduningwe Moneambi Monginda Mongokobuma Mont Abambula Mont Badio Mont Etia Mont Munga Mont Netepu Monzinga Mopanza Mopen Mopoto Motandu Moti Motoba Mtota Mtowa Mubilinga Mudimba Mudzudzu Mukiape Mundaeb Mundubimbi Mungelini Munpindi Murambo Musale Musungu Mutumbe Muzibeli Na Nabambo Nabere Nabia Nabielia Nabogo Nabombi Nabombo Naboto Nabubanga Nabukia Nadede Nadjoroda Nagaza Nagbalogbalo Nagbango Nage Nagoda Nagombe Nagombu Nagongolo Nagoroda Nagosira Nagua Nagwala Naia Naisa Naiu Nakaka Nakakpwa Nakoda Nakole Nakpa Nakpalapala Nakpono Nakua Nakuda Nala Nalge Nalia Naligonza Nalo Namade Namakpo Namando Namandugbu Nambata Nambi Namesu Namokpali Namopima Namukpwali Namulungu Namunza Namunzala Nandimba Naneu Nanga Nangaa Nangala Nanganga Nangasira Nangazizi Nangbama Nangbanga Nangedo Nangiara Nangilinda Nangita Nangubali Nangwada Nangwaka Nania Nanzatibo Nanzea Nanzia Napeo Napida Napopada Napupa Napupia Naroro Natepu Natoro Natwa Nauma Nava Navo Naza Nazamba Nde Ndei Ndombie Ndrekou Ndubala Nduma Nebanaye Nebandula Nebaye Nebelekpe Neberebere Nebese Nebia Nebida Nebido Nebingwe Nebinso Nebisa Nebobongo Nebogandato Nebogo Neboiolada Nebomeda Nebone Nebongandetu Nebundada Nebune Nebwele Nedako Nedanguaka Nedimuinde Nedolia Nedombolida Neduamba Neduemba Nedula Negamba Negboloda Negougu Neguabado Neisu Nekalagba Nekaraboda Nekbotoroda Nekewi Nekobida Nekoda Nekokoda Nekombe Nekpweka Nekwada Nelakpa Nelema Neloa Nemada Nemakpwo Nemakura Nembainboma Nembandangi Nembene Nembila Nembirida Nembongo Nembulumbula Nemindemi Nemoringo Nemosa Nemuada Nendmba Nendokada Nenduke Nendungu Nenduru Nengba Nengbo Nengili Nenguma Nenguolo Nenunga Nepambila Nepandi Nepundi Nerano Neremberoda Neru Nesa Nesagba Nesi Nesobueda Nesogo Nesoku Nesolo Nesoro Nesuba Netago Netetego Netonga Netsmu Nevireda Newoga Neyengele Neyowe Nezioto Nezorada Ngaluma Ngama Nganzi Ngazi Ngazubere Ngbali Ngeino Ngewa Ngina Ngombe Ngtua Nguaoa Nguba Ngumba Ngumga Ngunzi Ngupili Nimene Nitoni Noabo Nogdrado Nogosima Nokenu Nokonu Nombako Nomuneke Nopepe Noroda Noso Nugbuindu Nukola Nundre Nyaly Nzala Nzalo Nzemo Nzenze Nzikenzeke Nziki Nzongo Obakuzo Obe Obongoni Odiane Ogandra-Dingina Okodongwe Okwotutu Olangie Ongane Ongbokuwo Ongoro Oniene Ononie Onziabune Onziakunde Ope Opekwo Opiado Opindoke Opioi Orientale Province Otara Oubo Oukpo Owenge Oyao Pakpa Palapa Palazea Pale Panda Panga Parakondo Parakusa Pasirene Patalamu Paukpa Pawa Pelengu Penge Petagugu Pita Pitamona Pita-Mona Poko Pongbo Pongboro Puagame Puambo Punduda Pwamanda Ranga Rapides Zukuma Refu Rinbangi Rungu Ruwe Saboma Sailanga Sakabu Saki Sala Sambeya Sambloma Sambo Sangbwa Sangiaka Sega Sei Senema Sengi Seribangi Siaba Sililo Silingbi Simba Sobia Sobo Sondo Sondota Soneoma Sosovoloko Sovula Tabe Takasie Takumbe Takwa Tapili Tawa Teane Tekipande Tely Tengu Tibi Tibo Tinene Tingolo Tobi Togba Tombele Tombo Tomu Tongoda Tongolo Tsangba Tsangobi Tshado Tshagbo Tshakatshaka Tuanombi Tuba Tugbene Tuku Tukuta Turumbo Tutu Umboyo Upo Utukpa Uwedse Viadana Vonga Vube Vunde Wadubai Waka Walengu Wamba Wamba-Moke Wauwa Wawa We Weda Wyati Yabwa Yadiko Yaga Yambenda Yane Yangala Yaso Yawa Yeku Yelekanga Yepe Yule Zabi Zadolo Zambala Zambasende Zambi Zamboya Zangagbia Zangasia Zatu Zatua Ze Zebuandea Zebudu Zima Zioto Zizi Zolo Zongbaya Zongwa Zopia Zoza Abao Abelkoso Abode Abombi Abu Abukogu Abuti Ada Adjo Adu Adumba Agebo Agola Agorogo Akaie Akwa Akwe Ali Alomba Alosi Ambo Andisa Angulu Ani Aniozo Aoda Apala Apolokuku Apowa Apu Aru Arua Aruda Arudja Ati Au Aveluma Avemuma Avi Avimi Avu Awa Awo Ayie Badiya Badjo Badzanga Bagena Bagota Baimani Baku Balabala Balalala Balazana Balo Banga Bangzikwa Baniabo Basse-Mongbwalu Bau Bavi Baywana Bedzamagosa Bekwa Beleu Berunda Bi Blidana Blukwa Bogoro Bohuma Bolo Bolo-Bolo Boro Brathai Bu Buba Budana Budona Buenza Bugu Bukulu Bule Bulo Bunia Bunia Airport Bunzenzele Bururu Busu Butshu Bwanga Chigby Dadweda Dau Daudi De Dekwaba Dele Dêli Delo Denge Dera Deu Digge Dio Djaiba Djakwa Djarara Djatsekwa Djauda Djedu Djiadjo Djida Djimbi Djitofu Djo Djokwa Djoma Djuda Djugu Djumali Dodjo Dodoi Dokolidza Dola Dotsi Drodro Drugese Dube Dudu Dumba Dyamba Dyaro Dzakwa Dzansiri Dzipwumbu Ebei Efidi Egba Eholu Elu Etindi Etomani Fataki Fundi Gabu Gada Gadudu Gagoa Galaya Ganda Gatuna Gdo Gelia Geti Gezia Gezy Go Goba Gobi Gobu Godya Gokwa Golo Gongo Gotsu Goya Gu Gugu Himbio Hoho Holu Hwa Ide Imbi Ineac Ineao Iro Irumu Isura Itende Ituri Jaloda Jiba Jiko Jina Ka Kabakaba Kabale Kabeba Kabona Kabukabu Kadjuge Kagaba Kagoro Kagyoro Kahakaba Kakoi Kale Kaloveve Kamatsi Kambale Kambutso Kampala Kana Kandjoka Kanga Kasego Kasenye Kaswara Katchunga Kato Katsolo Kawa Keikei Keke Kibue Kiladja Kilo Kiloba Kilomines Kima Kima Kiniasa Kiniene Kisega Kisenge Kiza Kobro Kodulo Kokobombi Kokwa Kole Kombia Kombio Kombokabo Korovi Kotony Kpane Kuke Kwaba Kwadinga Kwandruma Labo Lagabo Lagora Lake Albert Lakwa Lalikwa Lalo Landjo Langbe Lebu Leda Lemani Lenga Lengelenge Letshu Levi Leye Li Liango Liangu Liba Libi Lidjo Liki Likongo Linga Liongo Lita Litshunga Loda Lodjo Loe Loga Loi Loke Lokwa Lonadu Longina Longwa Lonio Lorida Losa Lotai Low Lu Lubonza Luga Luholu Luluda Luma Lunsgao Luvangira M’Adjo Mabilindai Magadra Mahu Makabo Makofi Makombe Makombo Mambisa Mamusi Mamwa Mandro Mangbele Mangbwalu Manzililu Marabu Maranga Masambala Masango Masikini Masumbuku Matadiri Matalala Mawa II Mayaribu Mbi Mboro Meba Medu Melio Menzu Mikora Moanga Molongambe Mondidili Monobi Mont Ido Mont Kende Mont Ndu Monts Bleus Mula Mulemba Mungwele Musaindi Musedjo Musoma Muze Mwila Nau Ndama Ndame Ndaro Ndefa Ndele Ndemole Ndho Ndoya Ndrige Nduluma Ngakwa Ngeda Ngezy Ngida Ngleza Ngobo Ngodja Ngote Ngri Niakunde Niamakao Niamavi Niodha Nioka Niolo Nizi Nizi-Lingambe Nju Nombe Nossa Numaba Nyamavi Nyamiyoro Nyamussasi Nyamussasi Port Nzaba Nze Nzebi Obo Ogu Ogwaro Oi Okaba Okere Ombu Ome Oniaka Oroi Otsu Oyaro Ozuba Pai Paimani Pawa Peleka Penie Petro Petsi Piko-Kitambala Pikoti Pilipili Pimbo Pitso Poi Puffet Rethy Risasi Ro Rona Ronvi-Ngleza Rra Rueti Rumbe Rusoke Rwe Saio Sake Sako Saku Saliboko Samuti Sanduku Satiri Saw Sediago Sei Semangole Sembeliabo Semliki Semue Sere Shari Si Sikilini Simoni Sinda Sindani Sirikani Soda Soleniama Deuxième Soleniama Première Sona Songolo Su Sudjiabo Sumbusu Tahena Talekwa Talia Talolo Tapa Tchela Tchomia Tekwada Telembi Timbo Tinda Tisanabo Tongaliwa Tsele Tsha Tshele Tshembo Tshendabo Tshibi-Tshibi Tshielda Tsho Tshua Tshumbu Tshuru Tsi Tso Tsoro Tsupu Tumba Turungu Tza Uba Ubilo Udu Ukwa Una Vee Voku Volunha Wada Wadza Walu Willy-Willy Wiri Ya Yadu Yeye Yome Zago Zekere Zengi Zengu Ziriba Zitono Zulu Zuruzuru Babadi Badibanga Badibanga-Makubakuba Bafuangongo Bajila-Kasanga Bakambe Bakense Bakishi Bakwa Nianga Bakwa-Bisampo Bakwa-Buyu Bakwa-Kande Bakwa-Kayombo Bakwa-Lonji Bakwa-Mulumba Bakwa-Musenge Bakwa-Mwasa Bakwanga Bakwa-Ngandu Bakwa-Nsakalongo Bakwa-Sumpi Bakwa-Tshidimba Bala Ngoie Bala-Kabangwa Bandubuile Bao Basanga Bashia Bashia-Diango Bashia-Ilunga Bashia-Kasamba Bashiandala Bashila Meya Bashilike Bashingala Bashingile Bashio-Bayo Batande Batonga Batshina Batwa Bayo-Kalala Bela Belan de Nord Bena Budja Bena Kabombo Bena Malangu Bena Muluile Bena Tumba Bena-Kabetu Bena-Kabindi Bena-Kabua Bena-Kadima Bena-Kalenda Bena-Kalombo Bena-Kapanga Bena-Muaba Bena-Muamba Bena-Ngoie Bena-Pania Bena-Sabwa Bena-Tanda Bena-Tumba Beya-Nsamba Bia Bibila Bikunyi Bikusu Bindenga Binga Bipemba Bisende Bitande Biyumbi Bolankete Bomase Bombeshi Bombo Tshimpanga Bondo Bondo-Kabea Bondolenge Bonyi Bososo Budi Budiwa Bukondo Bula-Bula Bulalo Bulalu Bulu-Makese Bunda Busamba Butanda Butu Buya-Bondo Buyamamba Buyamba Bwania Chute Walle Diango Dibaja Dibataye Dibele-Katanga Dibindi Dielela Diembai Difu Difu-Mutombo Dikya Dilembele Dilunda Dimbele Dimbelenge Dimukaie Dipumbu Diseke Dishyu Ditolo Ditutu Diyoka-Munya Domba Dyina Ebungu Esasa Eshiba Etang Kasasa Etumba Eyongo-Kishi Eyongo-Mupikule Faniami Fiondo Forêt de Lueni Froa Fululu Futuyi Fwa Fwatoni Gabo Gambala Gandajika Golo Gondo Gulungu Gungi Guya Ikala Ilunga Lusanga Ilunga-Mutombo Kabakishi Kabala Kabale Kabalu Kabamba Kabamba Kunyama Kabambule Kabanda Kabanga Kabanga-Mesu Kabangi Kabe Kabengwa Kabeya-Buata Kabeya-Kamwanga Kabeya-Lumbu Kabikole Kabinda Kabinda Kiashi Kabinda Tunta Airport Kabinda-Kakese Kabinga Kaboba Kabode Kaboko Kabombo Kabonde Kabongo Kabongo-Muleba Kaboto Kabue Kabukundu Kabula Kabundi Kabwaba Kabwe Kabwe-Kankole Kabwe-Katanda Kadiamieda Kadilo Kadilu Kadimadiba Kadima-Diru Kadimba Kadingishi Kafito Kafumba Kafunka Kai Kai-Mutoyo Kai-Saji Kajangaie Kajiba Kakanena Kakangaie Kakenda Kakienza Kakole Kakomeshi Kakonde Kakunda Kakunduie Kalala Kalambo Kalela Kalele Kalenda Kalenga Kalenge Kaloba Kalombo Kalombwa Kalomo Kalonga Kalubi Kalume Kalundwe Kalunga Kalungaye Kalunguyi Kalupemba Kamakonga Kamalenge Kamalondo Kamame Kamango Kamania Kamankuba Kamapanda Kamatenge Kamba Kamba-Kalele Kamba-Kuba Kambala Kamba-Mvula Kambando Kambuembwe Kambwembwe Kamembele Kamende Kami Kamilomba Kamiloto Kamina Kamingo Kamishipa Kamitaba Kamitonga Kampeju Kamuania Kamusuye Kamutambai Kamwandu Kamwena-Sapo Kananga Kananzu Kande Kandu-Mandefu Kanga Kangala Kanganga Kangenge Kangeshi-Muite Kangeshi-Panda Kangombe Kangu Kangulube Kaniengele Kaninda-Pania Kankala Kankelenge Kankudiana Kankunia Kankunku Kankwadi Kanonga Kanono Kansele Kanshimba Kanulika Kanundu Kanyinda Kaondo Kapala Kapamba Kapandai Kapemba Kapena-Tshiniama Kapiku Kapinga-Kamba Kapinga-Lukunyu Kapinga-Mwala Kapopwe Kapowa Kapufa Kapuku Kapuku-Kamanda Kapulu-Kamande Kapuma Kasaba Kasala Kasamba Kasando Kasanga Kasansu Kasanzame Kaseke Kaselengo Kaseme Kasende Kasenge Kashale Kashama Kashama Tshiwadi Kashilu Kashindi Kasingafute Kasonga Kasonga-Banze Kasongo Fwamba Kasongo-Mwana Kasonji Kasumba Kata Katabwa Katai Katambaie Katanda Katanga Katende Katende-Kaboko Kateo Katoka Katoke Katombe Katombe-Muleba Katombole Katotshi Katshiayi Katshipi Katshomba Katubanda Katubungulu Katulwe Katumanga Katumpa Katunda Katutshi Kaunda Kawa Kaya-Ndunga Kayaya Kayaya-Sampi Kayembe Kayiba Kayikulu Kayoko Kayumbi-Lubilash Kazadi-Mbumba Kelaie Kelau Kelende Kelenge Keluie Kemina Kena-Kalamba Kende-Kende Keshi Kiabula Kiala-Balangi Kiasame Kibabeni Kibadika Kibambe Kibanga Kibi Kibila Kibishi Kibobola Kibombe Kibunge Kibusewa Kibwele Kifinde Deuxième Kifinde Première Kifule-Ejiba Kifule-Solo Kikame Kilenge Kileo Kileta Kilongo Kilumba Kilumbai Kilungu Kilushi Kimai Kimboko Kimonga Kiniunga Matani Kinkulakula Kinsalele Kioko Kipakasula Kipanda Kipange Kipeto Kipibwe Kisalu Kiseka Kisendwe Kishishi Kisonoi Kisose Kisule-Kimonga Kisunza Kitaba Kitamba Kiteba Kitenge Kitentame Kitumba Kitumbwilu Kitunga Kitungu Kitwa Kobwe Kokomule Kole Kolomoni Kongolo Konia Konshi Kosh Koto Kumafu Kumba Kumbikumbi Kunduie Kusu Kuvuye Kwadi Kwanga Kwinshindi Labashi Lac Budubudu Lac Fwa Lac Katadi Lac Mukamba Lac Tshinene Lembelembe Lembe-Lembe Lenge Libanji Deuxième Loamba Loanga Loanga U.M.H.K. Loka Lomami Lombe Lombo Londa Longa-Katenga Longo Luaka Lualaba-Guba Lualaba-Kasaba Lualu Luamana Luange Luankala Lubala Lubambala Lubanda Lubanga Lubangu Lubaya Lubembe Lubilanji Lubimbi Lubu Lubuanganga Lubue Lubwe Lubwelu Ludimbi Lueni Luese-Maboie Lufungula Lufute Lufwishi Luga Luguvu Lujiba Lukanda Lukanga Lukangu Lukate Lukelenge Lukoko Lukula Lukunka Lukusa Lukwemba Lulenge Lumbala-Kalala Lumpungu Lumune Lunga Lungale Lungui Lunkala Lunkala-Kashidi Luntunki Lupafoi Lupake Lupanga Lupange Lupatapata Lupembe Lusaka Lusambi Lusasa Lusele Lushiba Luteka Lutembo Lutenka Mabeya Mabondo Madiku Madila-Tshisenga Madindu Makala Makombwe Makufuo Makundi Malama Malamba Malango Malela Malembe Mamaye Mamba-Sako Mambela Mandja Mandombe Mangole Mangolo Mangwale Mani-Mani Mankana Mankonka Manyaka Maole Mapanda Marais Kapela Marais Lomani Masanga Mashata Mashiba Masonga Masulu-Kankole Matadi Matari Matembo Matobo Mbaie Mbala Mbalaka Mbaye Mbombo Mbujimayi Mbuji-Mayi Mbuluku Mbuye Mebangu Metalando Miala Miandabe Miandanda Midi Mienge Mija Mikalaye Mikenge Mikundi Mikusakusa Milela Milembwe Minda Mindala Misengedya Misua Mitengo Moakana Moamba Mobeya Mobila Molowaie Moma Monanga Mont Bipangu Mont Kasenga Mont Katende Mont Kianduka Mont Swerts Mont Tshilubi Monts Butale Monts Tukuna-Milongo Mowe Moyeshi Moyo Wabo Mpakga Mpata Mpatu Mpole Mpuka Mpunga Mpunga-Kanyunyu Muafi Muamba-Kabeya Mubikale Mubindi-Nzubu Mudinda Mudindwa-Sampu Mufui Mufulu Mufuya Muidi Mukulu Muikindi Mujifa Mujindu Mukalenge Tumba Mukamba Mukambile Mukenge Mukishi Mukoko Mukoma Mukumbula Mukunda Mukundui Mukungila Mukungugu Mukutu Mukuvui Mulaji Mulamba Mulamba I Mulamba-Dibala Mulamba-Tshibanda Muleba Mulela Mpoko Mulembe Mulenda Mulenga Mulofoi Mulombela Mulopwe Mulubule Muluisa Mulungaie Mulunguie Mungele Mungui Munienge Munkanda Munsense Mununda Mupemba Mupoie Mupompa Mupundji Musabe Musadi Musafwe Musanga Musangana Musangi Musangie Musango Musao Musasa Musebai Musekai Musenga Musengaie Mushika Musibuie Musungaie Mususwa Muteba-Lubanda Mutefu Mutelu Mutombo Mutombo-Dibwe Mutombo-wa-Tshimbombo Mutundui Mutunduye Muya Muyaya-Kakende Muyumba Mvuma Mwala-Kalanga Mwalaye Mwamba Mwamba-Ngufulu Mwamba-Tshitolo Mwana-Mutombo Mwana-Tshala Mwanza Mwatshanda Mwobalu Nambu Nash Nashankale Ndibu-Kabamba Ndimba Ndishiba Ndula-Kumbi Ndunga Ndweya Ngala-Bilolo Ngalakaji Ngalampata Ngandu Ngandu-a-Lusamba Ngase Ngombe-Niama Ngufulu Ngulubi Nienga Njima-Malu Nkenge Nkuna Nsadi Nske Ntambwe-Tshintanku Ntefu Nunu Nyikinyiki Nyindu Nyindu-Lusoka Nyingu Nzaji Otindji Pala-Masonga Pambwe Panda Panga Pangaba Panga-Ilonga Pangola Pania Panza Patamule Patshi Patu Pelaie Pemba Pembwe Pesa Piana-Tshiniama Piki Pimpu Poi Poie-Kasea Poko Pombombo Pongo Pukulu Pungwe Pwepwe Sabanga Sabu Sabua Sakasa Sale-Sale Salo Samba Sampa Santu-Kapongo Sapo Manga Sapo-Katomba Seba Senga Sengasenga Sengeyabo Sensu Sewe Shabangi Shadika Shimbi Shinza Showa Sokombe Sumpi Tala-Ejiba Tala-Yulu Tambakata Tambwe Tambwe-Babila Tambwe-Kadibuntu Tambwe-Lomami Tambwe-Mulumba Tangala Tanga-Tanga Tembela Tende Tenshi Tijilu Tsbibadik Tshaba Tshaji Tshala Première Tshalala Tshala-Mukendi Tshampongolo Tshangwe Tshankoma Tshao Tshapona Tshatamwenya Tshau Tshendela Tshepele Tshiamba Tshibamba Tshibambo Tshibanda Tshibande Tshibasha Tshibasu Tshibila Tshibombi Tshibuamatama Tshibuyi Tshibwa Tshiembue Tshiepula Tshikaji Tshikaka Tshikambundi Tshikame Tshikana Tshikapa Tshikazi Tshikenda Tshikole Tshikoloie Tshikula Tshikunga Tshikusa Tshikuyi Tshiloba Tshilomba Tshilubilubi Tshilunde Tshilunga Tshimaie Tshimanga Tshimangunga Tshimaye Tshimbadi Tshimbalai Tshimbalanga Tshimbao Tshimboko Tshimbombo Tshimbundu Tshimea-Kabata Tshimenga Tshimiende Tshiminimuka Tshimonga Tshimpanga Tshimpangala Tshimpange Tshimpata Tshimpulumba Tshimpuma Tshingombe Tshiniama Tshinkala Tshintele Tshintu Mwasa Tshiokolo Tshipamba Tshipamba Mpoyi Tshipanda Tshipanga Tshipuma Tshipungu Tshipya Tshisaba Tshisanga Tshisebu Tshisenga Tshisenge Tshisui Tshitadi Tshitambala Tshitenge Tshito Tshitu Tshituadi Tshitudi Tshiya Tshiyoyo-Kandianka Tshomambi Tshondo Tshonza Tshowo Tshufulu Tubaie Tubi-Tubidi Tumba Tumba-Kalamba Tumba-Kalumba Tumba-Katala Tumba-Kuba Tumba-Lubambe Tumbi-Tumbi Tungulu Tunta Tunta Airport Tupoloko University of Mbuji Mayi Usine Canadian Company Capabilities V. Batwa Vunayi Wabingwa Yamba Yamba Kapako Yamba-Yamba Yaudi Yombo Zengwe Zolo Babidi Badibanga Badibange Baie Baie-Kamoshi Bai-Munianga Bakwa-Bana Bakwa-Dongo Bakwa-Gandu Bakwa-Kwanga Bakwa-Londo Bakwa-Longi Bakwa-Maie Bakwa-Malombe Bakwa-Mashiba Bakwa-Midima Bakwa-Mukamba Bakwa-Mulombe Bakwa-Mulu Bakwa-Ndai Bakwa-Nioka Bakwa-Nyanga Bakwa-Seka Bakwa-Sumpi Bakwa-Tombe Bakwa-Tshimini Balambudi Bambi Bamuyaya Banda Bandi Banga Banga-Ibundula Banga-Lubudi Bangila Bangoma Bankuaya Bantua-Sanki Bao Barabwiera Basanga Basangana Bashangala Bashipanga Basonge Batetela-Madi Batua Batua-Malonga Batua-Patambo Batubenge Bayamba Baye Belenge Bena-Kanioka Bena-Kasadi Bena-Kazadi Bena-Leka Bena-Makima Bena-Monu Bena-Muyi Bena-Samba Bena-Sele Bena-Tshadi Bendaie Bengele Bengeni Biabia Biakabonga Bibombo Bibunungula Bidimba Bidyendala Bienge-Makekere Bikalabwa Bikanda Bilamba Bilolo Bimbi Binkunga Binza Biombo Bisungulu Bisusukila Bitumfi Bitundu Boa-Kasamba Bodoma Bolelo Boloba Bomba-Tshimbadi Bombo Bombo-Bushabu Bombo-Kasanji Bombo-Mukoma Bombo-Tsienda Bomola Bomweru Bongamba Bongatshala Bongo Bongobele Bonkala Buabua-Lombo Buabua-Mpongo Bua-Dishi Bua-Kaniki Buamuana Buana-Makadi Buhaya Buisha-Kapia Buji-Tshala Bukaka Bulakabinda Bulango Bulankete Buloba-Bukole Bulongo Bulu Bulu-Bulu Bululu Bulungu Bumba Bumbu Butangila Butshinaie Butubulu Buyamba Bwadi Bwaka-Funyi Bwambuie Bwanga Bwangulu Bwatu Bwaya Chute Mai-Munene Chute Van François Dabomba Daie-Kalama Daie-Kese Dambi Dambo-Mukanga Danga Daye-Lungu Demba Dibala Dibambe Dibambu Dibanda Dibanga-Baluba Dibanga-Dibataie Dibaya Dibelai Dibinga Dibinga-Tshikuata Dibondo Dibungi Dibwe Difudiabidia Dijiba Dikadi Dikanga Dikengi Dikolo Dikoma Dikula Dikwembe Dilamba Dinga Diniuniu Dintshantsha Diombe Dipaki Disanga Disenga Dishiba Dishinda Ditu Diulu-Matange Djambakadi Djembi Djimbu Domaie-Lubwele Dombi Dubatari Dula Dumba Dumba-Kakese Dumba-Munene Dumbi Dumbi-Kedi Dumbi-Muamba Fikisha Fiondo Fuamba-Tshitadi Fuariala Fukumba Fumba Fwamba Fwankadibwe Gaiankoka Gala-Buanga Galikoko Gandu Deuxième Gandua-Bulu Golelo Golo-Bushobo Gombe Gulu Gumunku Gwerebwanyi Hola Ibadima Ibantshe Ibombo-Itshimu Ibondo Ididiba Ilengi Ilhanga Ilunga Ineme Ipanga-Batia Isandia Isandja Itanga Itende Itono Itshimu Kaba Kabalenge Kabamba Kabambaye Kabambi Kabandi Kabangala Kabanga-Nzubu Kabao Kabasele Kabasele Deuxième Kabatoji Kabea Kabea-Buabua Kabea-Lumba Kabebwa Kabekelela Kabemba Kabemba-Kasiebwe Kabengele Kabengo Kabeya-Kalala Kabeya-Kapita Kabeya-Kuembe Kabeya-Mukole Kabeya-Tshilombe Kabeya-Tshinyama Kabilenge Kabilengo Kabilengu Kabilika Kabilu Kabinza Kabiosa Kabitofe Kabolangoma Kabongo Kabongo-Moke Kabuanga Kabuanga-Kole Kabuanga-Tshisenge Kabuasa Kabudiela Kabui Kabukibu Kabukongola Kabumba Kabumbu Kabumbulala Kabundi Kabwai Kabwai-Tshibala Kabwanga-Ipunda Kabwe Kabwebwe Kadianga Kadima Kadimbula Kadinga Kadingu Kadipanga Kadiundula Kafuata Kafuba Kafufu Kafunda Kakasole Kakenge Kakese Kakolo Kakolongo Kakomule Kakulu Kakulukata Kakumba Kakunda Kakungula Kakwolo Kalaba Kalakasa Kalala-Buanga Kalala-Tshibangu Kalamba Kalambaie Kalambaye Kalamvitu Kalavuanda Kaleka Kalela Kalema Kalomba-Boni Kalombaie Kalombaye Kalombe Kalombela Kalombo Kalombo-Mukishi Kalonda Kalonji-Kashama Kaluangani Kalubi Kaluenda Kaluendi Kalumba Kalume-Kankwadi Kalumyana Kalunga Kalunge Kamabale Kamabove Kamai Kamajaja Kamakadi Kamakanda Kamakonde Kamalenga Kamanda Kamanganga Kamangiala Kamankonya Kamapanda Kamaseke Kamayi Kamayoyo Kambakungu Kamba-Munene Kambanga Kambangoma Kamba-Nguva Kamba-Nzambi Kambembo Kambeta Kambilu Kamboa Kambuania Kambudianga Kambuja Kambulu Kamfula Kamidini Kamilambala Kamilanga Kamilenga Kamilundu Kamisala Kamisalu Kamishanga Kamitule Kamolapungu Kamona-Niama Kamonga Kampande Kampia Kampoto Kampungu Kamuanga Kamuanga-Luse Kamubila Kamuesha Kamulibule Kamulola Kamungula Kanda-Kanda Kande Kandikandi Kandimba Kandjimba Kandolo Kandu Kanga Kanga-Kabongo Kangola Kangombe Kangube Kangunda Kaninda-Mutetela Kaninga-Manianga Kaninga-Mawa Kanionga Kaniuka Kaniuniu Kankala Kankesi Kankolongo Kankonde Kankonko Kanku Kanku-Milu Kankunku Kanoa Kansamba Kansha Kansoka Kantekefu Kantomba Kanumutambi Kanyama-Lukanda Kaoi Kapakala Kapalu Kapama Kapanga-Kudi Kapapa Kapashika Kapata Kapemba Kapena Kapia-Gandu Kapilimbale Kapindupindu Kapinga Kapinga-Muana Kapinga-Mutshiok Kapinga-Zambi Kapiuka Kapoka Kapongo Kapufa Kapuka-Muteba Kapuku Kapula Kapuma Kapumba Kapumu Kapusa-Mwaila Kasa Kasaba Kasai District Kasanda Kasanga Kasangisha Kasanji Kaseba Kasenda Kasenga Kashama Kashama-a-Misala Kashia Kashile Kasiba Kasoba Kasoka-Tshishimba Kasoma Kasonga Kasongo Kasongo-Batetela Kasongola Kasongo-Madi Kasongo-Maie Kasongo-Muana Kasongomule Kasongo-Mule Kasongo-Tshijiba Kasosho Kasuku Kasumba Kasunsu Katala Katalaie Katalaye Katalushi Katamba Katambaie Katambalu Katambwe-Tshibi Kata-Mushinda Katanga Katanga-Meshi Kata-Tshimanga Katembwe Katende Katengaie Katengene Katoka Katoke Katomba Katombe Katshababala Katshimu Katshingu Katshisala Katubi-Nkuba Katudinda Katuishi Katukonge Katulu Katumbaie Katungunga Katusenga Kavubeuangala Kayembe Kayembe-Kumbi Kayembe-Lutunda Kayembe-Nzembele Kayembi Kayende-Kumbu Kayenile Kayeye Kazadi Kenembombo Kere Kinda Kingondo Kipinduka Koi-Kayeye-Muana Koko-Mikombi Kole Kolemashika Kolomoni Kolo-Mukulu Kondo Kongola-Mukundi Kongolo Kongolo-Kasuki Kongolo-Lupumba Kongolo-Moshi Konji Koshi Koyi-Kayeye Kuango Kumpanya Kumulumba Kuna-Kabeya Kunamuadi Kuyembe-Sapa Lac Yobo Lacs Verts Lashaka Lekume Lembe Lembelembe Loambi Loanga Loasoka Loboya-Bululu Loele Lomba Lombe Lombelo Lombo Longo Longole Lonkanda Luabeya Luakula Luala Lua-Mashoni Luandji Luanga Luatshe Luba Lubanza Lubao Lube Lubelo Lubi Lubimba Lubola Lubumbula Lubuyi Ludima Ludipe Luebo Luebo Fuamba Luebo-Matala Luela Luele Luelo Luembe Luenga Luenga Deuxième Luenga Première Lufataki Luhemba Luituila Lukadimande Lukadi-Mpaye Lukaka Lukanda Lukasu Lukaya Lukengu Lukima Lukodi Lukolongo Lukombo Deuxième Lukombo Première Luku Lukuaya Lukula Lukulu Lukusa Lukuye Lulaka Lulanga Lulengela Lulengu Lulua Lulua-Mpala Lulubilu Lumbala Lumbumbudi Lumie Lumpaka Lumpalamba Lumpenga Lumpungu Lunganda Lungasa Lungula Lunkamba Lunuka Lupemba Lupembe Lupona-Mufike Lupona-Nzambi Lupuishi Lupunza Lurasa Lusala Lusamba Lusele Lushiku Lushilu Lushimba Lushitu Lutake Luteke Lutoka Lutoke Lutoku Lutshatsha Lutundu Luwaye Lwanyanya Mabamba Mabaya Mabere Mabika Madilu-Shamba Mafua-a-Bintu Mafumba Mai-Munene Makangi Makayabo Makengeza Makolo Makoma Makoma-Tshapembe Makonga Makumbi Makuna-Nord Malambela Malandi Malaneai Malangu Malonga Malu Malu-Disu Malu-Fwamba Malukakumba Malu-Malu Malumba-Makombo Malungudi Malutshi Mamba Mamboma Mampinda Mandjumba Mandoni Mangole Mapangu Mapea Mapono Mapumba Masasuli Masele-Mufuka Mashaupania Mashi-Kakese Mashua Première Mashuali Matala Matamba Matayafu Maude Maudi Mawawa Maya-Kantshia Mayanda Mayaya Mayoyo Mayoyo-Lunsanyi Mayoyo-Tshitobo Mbula Mbulungu Miabo-Kandolo Miao Mibalaie Midiedji Midimba Mikemu Mikendji Mikope Mikose Milambo Milangala Milolo Mingera Mingitshi Mingueshi Mingwangwa Minsaki Misakasa Misanga Mishinga Mishongo Misoko Misusa Mokolo Mokonienge Mole Mombo Mombo-Kakese Mongomango Mopangu Moshi Mpanda Mpokola Mpupuyu Mputu Muamba Muamba-Kakese Muamba-Mukulu Muamba-Munene Muamba-Ndonki Muana-Kasua Muana-Mbundu Muana-Musongo Muanandibu Mua-Ndemba Muanika Muanila Muasa Muateamfua Muayila Mubadi Mubambilu Mubenga Mubuebua Mubwabwa Mudiandambo Mudi-Inyi Mudimbi Muebela Muela Muemba Muenakalu Muenambemba Muendadia Mueniamputu Mufuka Muila-Bumba Muila-Fiondo Muila-Mpata Mujanji Mukabakaba Mukadi Mukala-Nsenga Mukalenge-Muana Mukambo Mukanga Mukarakima Mukaya Mukeba Mukeke Mukendi-Kakese Mukenge-Kaboto Mukenge-Kalamba Mukina Mukishi Mukoma Mukongo Mukongo-Mukole Mukuandianga Mukumbi Mukuna-Muleba Mukungulu Mukuya Mulamba Mulamba-wa-Tshisuku Muleba Mulengeshi Muleuda Muloka Mulomba-Tshionza Mulomei Mulondo Mulowa-Luenda Muluabuendo Mulukura Mulumba-Nkusu Mulumbila Mulumuankwadi Mulundu Mulungila Mundembe Munie Munsanto Muntu-wa-Badibanga Mupanda Mupange Mupembe Mupoi Musambai Musangu Musasa Musembe Musese Mushidi Mushiku Mushiku-Tshombe Mushinda Musuasua Mutamba Mutanga-Kamba Muteba Mutemba Mutoke Mutomba-Mbaie Mutombe-Misomba Mutombo Mutombo-Dibwe Mutombo-Kapumbu Mutombo-Kasonga Mutombo-Lamata Mutombo-Tshisuku Mutoye Mutumba Muya Muya-Lubinga Muyamba Muyaya-Tukese Muyembi Muyenga Mvidi Mwamba Mwamba-Mbuyi Mwanda Mwanzambala Mwasalange Mweka Mweka Airport Nambu Nasua-Niama Ndaie-Gufulu Ndai-Milambo Ndayi-Malenga Ndjoko-Punda Ndonga Ndumba Ngalademue Ngala-Mitumba Ngala-Tshibenda Ngandu Ngandu-Tshiloba Nganga-Mayoyo Nganza Ngele-Makungu Ngindu Ngoie Ngombe-Muana Ngome Ngondo Ngonga Ngoyo Ngulu Ngulube Ngulungu Ngungu Niate Niengele-Koshi Nikeiekele Nilongo-Nilongo Nionga-Kalenga Njilaluenda Nkana Nkanu Nkese Nkoka Nkole-Muata-Yamvo Nkuadi Nkuba Nkusu Nongo-Nongo Ntaie Nyango Nyembo-Mayuru Nyilunde Nyima Nyimi Nyindu-wa-Kabaya Nyinga Nyinka Nzolo-Mutoke Omo Oumbu Pagnamandu Pandamadi Pandangoma Pasha Pashaluenda Pelekese Pemba Pembe Pemuana-Batua Pianza Pibwe Pinda Pindu Polesha Pombe Pongu Poporo Province du Kasaï-Occidental Pumba Pumbululu Pungu Puni-Puni Putu-Matamba Saba Sabwa Sai Saint Pierre Salulu Samberi Sanga Sangila-Kakese Sangila-Munene Sanzala Sapo Sapo-Bumba Sapo-Luela Sapo-Lulua Sapo-Matadi Sasatshi Satshikumba Selenge Senga-Malenga Shabangi Shabiuma Shakakombe Shakamanda Shakapita Shakatumba Shakudita Shalamulenge Shalango Shalengele-Katuama Shamakangu Shamakata Shamananga Shamandongo Shamatenge Shamatoto Shambala Shambombo Shambuambua Shamutombo Shamuyenge Shanbote Shandama I Shandambi Shandja Shangatshembe Shatamba Shenda Shimba Shimba-Muamba Shimbi Shimbinda Shokombenge Shuwele Sokombe Songua Subunga Sudika Sumbu Sundi-Munene Sungi-Kakese Sungila Sungula Tambue Tambwa Tambwe Tambwe-a-Tshibangu Tambwe-Nzala Tenemashobo Tikiukutu Tombolo Trou aux Singes Tshabuta Tshadimunanga Tshakandu Tshalumufike Tshalupembe Tshamabongu Tshamalenge Tshamba Tshambe Tshamu Tshamu-Kayamfu Tshana-a-Mpemba Tshanga Tshantshia Tshapemba Tshek Tshela-Kakunda Tshena Tshenda Tshiala Tshialupemba Tshialupuishi Tshiamala Tshiamu Tshiamua-Kalala Tshianza Tshiata Tshibaka Tshibalabala Tshibalaka Tshibambula Tshibanda Tshibangabanga Tshibangu Tshibashi Tshibenge-Kakese Tshibila Tshibilila Tshiboka Tshibola Tshibuabua Tshibuabua-Tshikafuta Tshibuku Tshibundu Tshibungu Tshibuye Tshibwaya Tshielemata Tshieniema-Katembwe Tshifika Tshifomba-Matai Tshifuembe Tshifulu Tshifuma Tshifwadi Tshifwafwa Tshijiba-Mpata Tshikamakama Tshikangu Tshikapa Tshikema Tshikenie Tshikobo Tshikodika Tshikolango Tshikota Senda Tshikoyi Tshikubu Tshikulela Tshikuluka Tshikuma Tshikunga-Mai Tshikupa Tshilanda Tshilau Tshilebela Tshilembela Tshilembi Tshilombe Tshiluata Tshiluembe Tshilumbai-Katalayie Tshilunda Tshimajiba Tshimanga Tshimanzo Tshimba Tshimbadika Tshimbalanga Tshimbao Tshimbawo Tshimbola Tshimbu Tshimbumbu Tshimbundi Tshimbundu Tshimbungu Tshimpanga Tshimpashi Tshimpi Tshimpumpi Tshimpumpu Tshimpungulu Tshimuanga Tshindemba Tshindinda Tshinduka Tshindumba Tshinema Tshinene Tshingambo Tshingana Tshingeji Tshingungu Tshinguvu Tshiniama Tshinioka Tshinkeni Tshinku Tshinsambi Tshintu Tshintu-a-Kalundu Tshinyama Tshiombo Tshiongo Tshiowa Tshipangu Tshipepeie Tshipoko Tshipula Tshisambo Tshisampasampa Tshisanga Tshisangi Tshisekedi-Panda Tshisele Tshisemasema Tshisenge Tshishi Tshisilu Tshisuela Tshisuku Tshisulu Tshisumbui Tshisumu Tshisungu Tshisusu Tshisuyi Tshitala Tshitambala Tshitambala-Kasasu Tshitapa Tshitatala Tshitataon Tshitebwe Tshitenamayi Tshitende Tshitenge Tshitoma Tshombe-Bululu Tubuye Tufi-Tua-Ngombe Tukenge-Fuamba Tulembe Tumba Tumba-Boy Tumba-Ditu Tumba-Kamba Tumbakishi Tumbakoka Tumbakoko Tumba-Mpoie Tumba-Mubiaye Tumba-Mukole Tumba-Nkoko Tumba-Sumbula Tumba-Tshanu Tumina Tumpa Tumpi Tunganga Tunsele Wedi Welele Wetu-Mande Yabanse Yabo Yamba-Yamba Yamuimbu Yesua Yeye Yoenge Zambi-Kabantu Zemba Zembele Zomba Aka Archipel de Bamu Baie de Galiema Balubuse Balumu Bamboma Bambu Bana Banc de la Djili Bancs de l’Ile Cristal Bandalungwa Bangulu Bankana Barumbu Basamo Basoko Bassin de Natation Basumu Belgilea Bensati Biamba Marie Mutombo Hopital Bibuanza Bibwu Biena Biku Bilele Bilodi Bimunka Bingibingi Bingoneo Bininga Binza Binza Meteo Bisengo Mwambe Bita Bitana Bitoto Biyela Bokumi II Bombala Bombo Bombo-Nord Bone Borne Archipel Bamu Boulevard Triomphal Boye Bu Buantaba Buli Buma Bumbu Cabu Camile Camp des Paliciers Camp H.I.H. Camp Luka Camp Militaire Resdorte Catholic University of Congo Centre de santé mentale Telema Centre Hospitalier Mere et Enfant Centre Hospitalier Roi Baudouin Centre Medical La Main de Dieu Centre pédiatrique Kalembelembe Clinique Bondeko commune de Barumbu commune de Gombe Diesa Djelo Binza du Bancs Sud Dumi Epfa Falls Regina Fufa Funa Funkiese Gabia Gakola Gana Gare Rifflart Geranga Gombe Grand Hotel Kinshasa Grande Ile de la Ndjili Grande Ile des Criques Gueme Guma Hôpital Pédiatrique Kalembe Lembe Hopital St-Luc de Kisant Ikamba Iketo Ikusu Ile aux Pierres Ile Cristal Ile de Kimpoko Ile de la Citas Ile de la Funa Ile de la Rive Ile des Contrebandiepe Ile des Mimosa Ile des Rapules Île des Singes Ile du Téléphone Ile Intermédiaire Iles de Kabongo Iles des Pecheors Ilot de Kinshasa Ilot du Criquet Imbe Imbo Imfi Impini Impini Deuxième Inga Ingwama Inie Inke Inkieme Institut National de Recherche Biomédicale Institut Supérieur en Sciences Infirmières Intsie Isabeke Isio Isueme Jardin Zoologique Kabango Kabongo Pombaix Kalamu Kalina Kamanka Kande Kara Kasa-Vubu Keme Kemi Kibanseke Kibanseke Deuxième Kibanseke Première Kie Kikimi Kilembo Deuxième Kimani Kimbanseke Kimbanseke II Kimbini Kimbondo Kimbonoko Kimbwala Kimion Kimpalapala Kimpete Kimpini Kimpoko Kimpoko-Nsele Kimuakasa Kimuele Kinati Kindamba Kindele Kindobo Kindunu Kinduti Kingabwa Kingankati Kingankeno Kingansana Kinganzele Kingasani Kinguala Kingunu Kinihi Kinkaba Kinkandu Kinkenkolo-Caha Kinkole Kinkumbi Kinkusu Kinkutu Troisième Kinsa Kinsele Kinsenso Kinshasa Kinshasa Central Railway Station Kinshasa City Kinshasa rural Kinshasa Urban Kinsi Kinsiama Kinsuka Kinta-Kinsankulu Kintambo Kinzenze Kinzolo Kinzono Kisenso Kisenzi Kisenzo Kisia Kitambala Kolenso Komo Kumo Kwambila Kwomolaba l’Hospital de Banes Lac Bambimbi Lac Bana Lac Bangulu Lac Bow Lac Inie Lac Matshubu Lac Ngaenke Lac Nuangwemi Lama ya Mbanza Langa-Langa Leguyo Lehilo Lemba Lemba-Gaba Lemba-Imbu Leopoldville Ouest Likana Limete Lingwala Lishia Lombimi Londe-Nzadi Lopes Lubudi Luena Lufimi Lufu Lufutu Lukaya Lukiene Lukunga Lukunga District Lumene Lungu Lususa Lutendele Lutezu Luyindula Mabu Mafuta Kizola Magenga Mai Mpili Mai Ndombe Mai-Ndombe Makaingu Makala Makala District Makala Lemba Makalu Makana Makie Malaulu Malete Malonkama Malu Malueka Maluku Maluku-Maes Malweka Mamboma Mambutu Mampembe Mampeza Mamvululu Mandoa Mangamu Mangu Manieu Marché Mase Mashie-Mashie Masiau Masi-Masi Masina Masina Sans Fil Masondama Masundu Matete Mato Mbali Mbata-Mopeno Mbilu Mbisi Mbo Mbolo Mbolo Make Mbu Mbudi Mbuma Mekamu Mekori Mekuye Menkaw Mfu Mfusu Mibandu Mibe Midana Mikala Mikamu Mikondo Mikunga Mikunga Deuxième Milini Militaire Leopold Milu Mimbana Mindana Mirador Misau Mo Mobigo Mode Moiema Mokene Mokweme Mombali Mongala Medical Center Monkole Hospital Monkole Hospital Center Mont Amba Mont Amba District Mont Leopold Mont Pele Mont Rhooius Mosabo Mose Moshe Mosie-Sau Motomfu Mpasa Mpemue Mpese Mpiki Mpila Mpio Mpzini Msamimi Munfu Munifu Mutiene Muti-Mutiene Mwana Nsundi Mwela-Mwela Nakelele Nanclire National Pedagogical University National Reference Laboratory Ndanu Ndjili N'djili Airport Ndolo N'Dolo Airport Ndsele Ngaba Ngaliema Ngaliema Hospital Ngi Ngiri-Ngiri Ngiri-Ngiri Primary School Ngombe Ngongo-Mbama Ngueme-Mpo Nguene-Mpo Nguma Nkana Nkao Nko Nsadi Nse Nsele N'Sele Nselekoti Nshiadi Nshimi Nta Nterenza Ozone Palais de Marbre Panoka Parc De Bock Petit Canon Petite Ile de la Djili Pic Malamengo Pieme Ngana Pointe Anglaise Pointe de Kalina Pointe de la Dowaru Poko-Polo Pongwene Pool Malebo Promedis Rapides de Kintambo Rifflart Rinue Rte des Poids-Lourds Saint Christophe Sanga-Sanga Sau School of Public Health Kinshasa Selembao Sobili St Augustin St. Gabriel stade des Martyrs de la Pentecôte Stade Enmene stade Tata Raphaël Station de Pompage Regidesa Sungi Sunny Day Guest House Suobamu Swe Taba Tembo Tookobi Tshangu Tshangu District Tshenke Tshinloto Tshuenge Université Catholique du Congo Université Pédagogique Nationale University of Kinshasa Vue Wasa Womabie Wuungu Yenge Médical Yolo Yombe Yuo Zuwoaroso Ambura Première Ampwu Ankul Atiski Baba Babu Badibundu Bae-Bao Bagata Bagata-Mbamu Bagato Bakaka Bakali Bala Balaka Baliba Balibe Balibi Bamba Bamba-Mabula Bamuesi Bandundu Province Banga Bangalala-Kisala Bangi Bangombe Bangongo Bangu Bangwu Bankene Banza Banza Fumukentu Banza Lute Banza-Bibambi Banza-Fioti Banza-Kataba Banza-Kikobo Banza-Kikumba Banzama Banza-Mabungu Banza-Makwala Banza-Manzashi Banza-Mombata Banza-Mukululu Banza-Wamba Banzi-Banzi Basi Basiba Bavana Baya Baya-Bimi Bebe Beko Belo Bembele Bende Bene Benga Bengi Beso Bibala Bibesi Bibi Bibwa Bidiata Bienzi Biere Bikala Bikunu Bikwiri Bilamba Bilanga Bilashi-Muzengo Bilele Biliku Bilila Bilili Bilubi Bimba Bimbange Bimbi Bimbongo Bimbungu Bimina Binda Bindungi Bio Bionga Bipangu Bitako Bitoya Bituku Biumba Bizu Bizumu Bodimu Boloko Bolongo Boluange Boma Boma Première Bondo Bondo-Mayoyo Bonga Bonga-Kalunga Bonga-Lukuri Bonga-Masoko Bonga-Mikwati Bonga-Muheté Bosongo-Kilala Boyala Buatunda-Nsaie Buatundu-Kabela Buba Buka-Kipangu Bukanga-Luasa Bukanga-Lunkelo Bukanga-Mofete Bukanga-Mwanza-Mwanza Bukanga-Ngaba Bukanga-Tangombe Bukanga-Tseke Buku Bukuku Bukulu Bukuyi Bula-Matabi Bulangunga Deuxième Bulangunga Première Bulu Bulukumbi Bulukumbi Deuxième Bululu Bulumbu Bulundu Bulungu Bumanima Bumba Bumba-Bonga Bumba-Kaloki Bumba-Kati Bumba-Milimbimbi Bumba-Puta Buno Bunzi Buseke Busfubi Bushi Bushungu Busongo Buta-Muntu Butindi Butu Buyulu Bwa Bwalayulu Bwangongo Bwaniangi Bwanitende Bwantundu Bwanzima Bwanzono Bwasa Bwatundu Bwele Bweu Bwingi Chute Kitona Deya Dialo Diambu Dimbi-Kapaya Diuada Djimba Djombumu Djuma Dondo Dongo Due Due II Due III Due IV Due Première Dumbu Dunda Dunda-Vanda Dunga Dunga-Gomilinba Dunga-Kakenge Dunga-Kasandji Dunga-Mwananzita Dwele E02 Ebu Edube Ekinkanene Ekubi Elomo Enboye Enhume Esinga Eto Eule Ewole Fakamba Fakua Fambonga Fango Fangonde Fangulu Fapelo Fasepe Foret Ndana Fukon Fukuri Fula Fumbe Fumu Fumubungu Fumundende Fumundjoko Fumunkento Funda Fushi Fwasamba Gabia Galala Galangi Gamazambi Gamba Gamba-Fioti Gamba-Nene Gandji Ganga Gango Gankie Gari Gele Gobari Gobari-Fioti Gombe Gombe Deuxième Gombe I Gondi Gondi Deuxième Gondi Première Gondi-Masa Gongo Gubu Gula Gulense Gulungu Gumbu-Yambulu Gungu Gwala Gwambe Gwaya Gweme-Shie HVDC Inga-Shaba - Kikwit Switching Station Iata-Kasongo Iatundu Iba Idjidji Imbongo Into-Pombo Inzia Ipaka Iseme Iwa Kaba Kabaka Kabala Kabandji Kabeka Kabengo Kabongo Kabuita Kafi Kafingi-Mokomba Kafunga Kahele Kahili Kainga Kaka Kakiulu Kakoi Kakombi Kakuisu Kakundi Kakwambi Kakwilu Kala Kalenge Kalobo Kaloka Kalonda Kalonda Deuxième Kalonda Première Kalonge Kalunda Kalunga Kalunga-Mayama Kalungo Kalungu-Hululu Kalusa Kama Kamafu Kamakoi Kamanda Kamangu Kamba Kambiaka Kambumba Kambumbu Kambundi Kamenga Kaminei Kamingu Kamunga Kan Kana Kanga Kango Kanianga Kanika Kankamo Kanosi Kansonzi Kanvudi Kanza Kanzashi Kapaie Kapaie-Lono Kapanga Kapasu Kapita-Kombo Kapita-Nzadi Kapita-Nzari Kasaka Kasandji Kasandzi Kasanzi Kasaw-Nzari Kasaw-Tseke Kasengi Kasesi Kashi Kasodi Kasoma Kasoma-Milundu Kasunga-Epa Katala Katenda Katende Katoko Katombo Katsumbi Katulu Kawanibila Kayanda Kayenku Kayoko Kayombu Kazamba Kazamba-Kiala Kazamba-Mulindundu Kazamba-Mvuye Kazamba-Nguadi Kazamba-Ngwangwa Kazamba-Nseke Kazamba-Wanga Kazanga Kazua Kebuya-Lebasa Kelekele Kenene Kenge Kengi Keni Keu Keugi Kiaka Kiakia Kiakia-Fioti Kiala Kiala-Balakwilu Kialala Kialu Kiamba Kiamfu Kiamfu-Kinzadi Kiamfu-Kuku Kiamtu-Mukopo Kianga Kianga-Gaba Kianga-Nima Kianzi Kiati Kibango Kibangu Kibangu-Koko Kibangula Kibasi Kibatelure Kibenge Kibengele Kibengi Kibeye Kibila Kibinga Kibinga-Fioti Kibobo Kibolo Kibolongo Kibongo Kibonzo Kiboti Kibuanga Kibuila Kibuka Kibunda Kibunda Kayeye Kibunzila Kibwanga Kibwari Kibwimba Kibwiti-Ngangula Kidiaki Kidima Kidiungu Kidzweme Kienkie Kifilu-Bibwa Kifitu Kifua-Pungu Kifulu Kifunga Kifungulu Kifuti Kifutu Kifwangi Kigngulu-Mosasa Kigoma Kihari-Makanga Kihuma Kihunga Kihutu Kikabi-Kanika Kikadi Kikama Kikamba Kikandji Kikanga Kikianika Kikianika-Kapasu Kikiari Kikindi Kiko Kikobo Kikoka Kikombo Kikondi Kikondje Kikondji Kikondji-Kikotokoto Kikondji-Matuta Kikondji-Muluta Kikondo Kikongi Kikongo Kikongo Mizdiata Kikongo-Kingunzu Kikongo-Lusasa Kikongo-Manzita Kikongo-Mikwati Kikongo-Mindanga Kikongo-Muanangombo Kikongo-Mulashi Kikongo-Mupepe Kikongo-Vuamba Kikonoi Kikonso Kikonzi Kikoshi Kikoshi-Bolo Kikoshi-Ngi Kikoto Kikuania-Bulungu Kikula Kikumba Kikumbi Kikumi Kikumu Kikundika Kikundu Kikungila Kikungu Kikunzi Kikusu Kikuti Kikwa-Ngangu Kikwango Kikwangu Kikwanza Kikwari Kikwasi Kikwati Kikwe-Kavunga Kikwene Kikwilu-Mbaka Kikwit Kikwit Airport Kikwiti Kikwu Kilembe Kilengula Kilesa Kili Kilombo Kilombo-Mambuki Kilomo Kiluamba Kilulu Kilumbu Kilunda Kilundu Kilundu Deuxième Kilungu-Djimba Kilusu Kilwamba Kimafu Kimani Kimapi Kimatu Kimbala Kimbale Kimbamba Kimbambi Kimbanda Kimbangi Kimbanza Kimbanzi Kimbanzi-Kingombe Kimbao Kimbata Kimbau Kimbaya Kimbe Kimbekele Kimbelenge Kimbelunge Kimbembo Kimbenga Kimbengi Kimbenza Kimbi Kimbieme Kimbiki Kimbilangundu Kimbili Kimbili-Mikundji Kimbimbi Kimbing Kimbinga Kimbi-Sayala Kimbo Kimbokila Kimboli Kimbolo Kimboma Kimbombi Kimbonga Kimbongo-Subu Kimboyo Kimbuku Kimbula Kimbulu Kimbuma Kimbumba Kimbu-Minkwo Kimbunda Kimbundu-Muzama Kimbungu Kimburi Kimbwalo Kimbwangi Kimbwangwono Kimeme Kimeya Kimfumu-Dana Kimoanza-Lundulu Kimofu Kimoka Kimolo Kimomfu Kimona Kimonza-Sanga Kimpaka Kimpalanka Kimpanda Kimpangi-Kolo Kimpata Kimponzi Kimputu Kimuako Kimuanza Kimuele Kimuilu Kimvuka Kimvundu Deuxième Kimvundu Première Kimvungula Kimwangala Kimwanza Kimwanza-Boi Kimwela Kimwela-Kuba Kimwela-Kwai Kimwengi Kina Kina-Bumba Kinaga Kina-Gulûntutu Kina-Kaboba Kina-Kasanji Kina-Lundulu Kina-Malanda Kina-Zambiri Kindala Kindale Kindambi Kindambi-Likiri Kindambi-Lundula Kindei Kindele Kindengo Kindi Kindia Kindinga Kindinga-Kwaya Kindombi Kindonga Kindongi Kindongo-Kibaya Kinduli Kindumba Kindundu Kindundu-Muni-Mukambo Kindundu-Tsiala Kindungu Kingandu Kinganga Kingango Kingangu Kingani Kingano Kingo Kingoi Kingoi-Kisemi Kingola Kingoma Kingomabanda Kingomala Kingombe Kingondi Kingondji Kingongo Kinguangu Kinguba Kinguende Kingulu Kingulubi Kingulu-Dunga Kingulu-Koshi Kingulu-Sanga Kingumba Kingunda Kingundu Kingungi Kingungu Kingwamba Kingwaya Kini Kiniaginina Kiniangi-Kitalala Kiniati Kiniboyama Kinimi Kinini Kinka Kinkalu Kinkama Kinkamba Kinkia Kinkiafu Kinkubu Kinkue Kinkuku Kinkutu Kinkwa Kinkwekoko Kinongi Kinsambo Kinsia-Maku Kinsiamo Kinsiamo-Ngoma Kinsia-Swa-Bao Kinsomi Kintuala Kintwala Kintwala-Ngoma Kinumu Kinwimi Kinzadi Kinzamba Kinzamba-Mbala Kinzamba-Nzombi Kinzamba-Yeye Kinzambi Kinzanda Kinze Kinzelengo Kinzenga Kinzenzengo Kinzeri Kinzimbi Kinzinzi Kinzioto Kinzuala Kinzuku Kio Kiongo Kipaka Kipa-Kapolo Kipalanga Kipalanga-Beti Kipalanga-Bumbulu Kipalanga-Kibai Kipalanga-Kibamfu Kipalanga-Koto Kipalanga-Lukiri Kipalanga-Mpwa Kipalanga-Pua Kipalanga-Zashi Kipala-Ngini Kipala-Nguli Kipalanka Kipalanka Deuxième Kipalanka Première Kipalanka-Tensi Kipamba Kipambi Kipanga Kipasi Kipata Kipata Kalola Kipata-Katika Kipata-Mabonza Kipata-Mabulabula Kipata-Matote Kipata-Moalaka Kipata-Mosasa Kipata-Mwanza-Longo Kipata-Ntunu Kipata-Nzomenzo Kipaya Kipemba Kipembe Kipembe-Finti Kipimba Kipindi Kipindji-Kimbili Kipinzi Kipinzi-Tseke Kipipa Kipolo Kipongi Kipopo Kipuanga Kipuita Kipuka Kipukulu Kipundi Kipungu Deuxième Kipungu Première Kipwala Kipwanga Kisala Kisala Boy Kisala-Boi Kisala-Kayita Kisala-Kimuene Kisala-Luie Kisala-Mayaya Kisambwari Kisangi Kisantere Kisaye Kisefu Kisefu-Fioti Kisembo Kisembo Deuxième Kisembo Première Kiseme I Kisenga-Pembe Kisenze Kisia Kisieta Kisieta-Kikobo Kisoko Kisombo Kisomi-Yaye Kisongo-Mondo Kisumba Kisumbu Kisungu Kitaba-Tune Kitabi Kitaka-Tskeke Kitakenine Kitanda Kitapa Kiteke Kiteko Kitiaka-Matolo Kitoi Kitoi Deuxième Kitombi Kitona Kitotila Kitsako Kitsamanga Kitsamango Kitsamba Kitsema Kitsimuna-Lono Kitsinda Kitsinga Kitsombo Kitsona Kitsutsu Kitubu Kituenge Kitumba Kitunda Kitundulu Kivonda Kivuanda Kivunda Kivunda-Mamvula Kiwala Kiwamamba Kiwamba Kiwana Kiwanda Kiwaniba Kiwanzi Kiwawa Kiwawa-Masia Kiyana Kiyombi Kizamba Kizamba-Kipoi Kizanga Kizia Kizomba Kizombi Kizombo Kizomfi Kizubi Kizulu KL G1 Kobo Koko-Gamba Kolango Kolangonzo Kolo-Kolo Kolokoso Kolonzadi Komba Kombo-Mayambu Komina Komingi Konda Kongila Kongila-Kiamfu Kongila-Lundjindji Kongila-Ndolo Kongo-Bayaka Kongo-Luwai Konib Konzi Konzombi Koshi Koshi-Bukala Koshi-Mushingatalu Kosi Kub Kuinbi Kukina Kulalumbi Kulungu Kulungu-Sengi Kumbanganda Kumbi Kumbi Deuxième Kumbi I Kumbi II Kumbi Moteba Kumbi Première Kumbi-Kuenge Kumbila Kumbi-Makopa Kumbi-Mosambi Kumene Kumi Kumtuba Kundu Kunga Kungongo Kungu Kuni Kunkui Kuonda Kutindi Kutu-Kindia Kwati Kwati-Mabengi Kwatiyoko Kwaya Kwaya-Kibari Kweak Kwebe Kwenge Kwilandongo Kwilu Kwilumpia Lac Zalangu Lako Lakoke Lamba Langa Larme Lasa Laumia Lazala Lebumi Ledigu Lelue Lemfu Lengi Lenkala Leota Libango Liboa Lilesu Loanda Loangi Loduma Lokoro Lokota Lokwa Lolu Loma Longana Longo Longo-Fioti Longo-Sud Lono Loso Lowa Loye Lozo Luala Luamba Luani Luano Luano-Bimi Luashi Luaye Luba Lubala Lubambe Lubembo Lubeti Lubi Lubiti Lubolo Luboma Luboma-Mosango Lubui Lubula Lubwetshi-Lamba Luelu Luem Luemba Luengo Luesa Lufumu Luhemba Luhemba-Kafi Luhemba-Yeye Luhimbi Luie Lukala Lukanga Lukemi Lukengo Lukiri Lukkaba Lukole Lukombe Lukombo Lukopo Lukoshi Lukoshi-Bambala Luku Lukuku Lukula Lukula-Mwana Lukumbi Lukunda Lukungu Lukungu Première Lukunletsai Lukunza Lukuo Lukuri Lukwe Lulao Lulaw Lulue Lumbamba Lumbe Lumbi Lumbi Nzinda Lumuaka Luna Lunda Lundu Lundulu Lunga Lungu Lunkuni Luno Lunungu Lunza Luombo Luono Lusanga Lusanga Airport Lusoni Lutasi Luteki Lutumba Lutuni Luwai Luwemino Luzasa-Pasu Luzubi Luzure Lwaka Lwiti Mabai Mabaka Mabamaba Maba-Maba Mabanga Mabankama Mabeti Mabilabila Mabongo Mabunga Mabungulu Madibi Mafete Mafinga Mafuki Mafula Mafungu Magueni Majiya Maka Makabi Makakala Makamba Makana Makanga Makasa Makei Makenene Makeu Makiaka-Moke Makilu Makinga Makingo Makiosi Makobe Makodia Makondo Makongo Makoshi Makoso Makulo-Koshi Makumbala Makumu Makunga Makwilu Mala Malaba Male Malela Malemba Malembelembe Malengila Malua-Mangonde Malubuaba Malundi Malundu Malunga Malutu Malva Mama Mamba Mambau Mambiri Mamboma Mambudi Mame Mampwe Mamsasai Mamuele Mamvuka Mandanda Mandata Mandinda Mandondo Mandosi Mandundu Manenga Mangala Mangamba Mangila Mangola Mangolu Mangombo Mangonzo Manguanga Mangulu Mangunda Mangungu Manie Manie Deuxième Manie Première Mankari Mankati Mankitu Mankondo Mankusu Manoano Mantate Mante Mantshiene Manuma Manzana Manzansai Manzashi Manzaw Manzombi Manzonzi Mapa Mapaka Mapanda Mapumba Mapungu Mar Marmala Masamba Masamuna Masana Masanga Masangala Masi Manimba Airport Masi-Manimba Masinga Masingi Maskatakenge Masu Masubulu Masumba Masungua Masupazu Masuri Mataba Matadi Matala Matamapila Matanuni Matari Mateko Matindi Matiti Matoba Matombi Matsemi Matsilo Matsingi-Yeyi Matsombi Matumbi Matumla Mawonga Mawunga Mayala Mayalo Mayamba-Sampedro Mayanga Mayei Mayengele Mayoko Mayoko Première Mayoko-Kwilu Mayoko-Lutundu Mayumu Mazaloshi Maziosi Mazumu Mazwemi Mbala Mbala-Tomolombo Mbala-Zumanzo Mbasama Mbaya Mbaya-Antera Mbaya-Masa Mbeko Mbela Mbela-Fioti Mbelo-Mpenane Mbelo-Mpene Mbelo-Mukunu Mbeni Mbili Mbilila Mbima-Ndana Mbimi-Kinsu Mbu Mbua Mbubi Mbuku Mbule Mbulu Mbume Mbwala Mbwansu Mbwilu Mesona Metau Metele Metelu Metuna Miaka Miakulu Miala Mibale Mibamba Mibeni Mibili Miboti Midimba-Fwakamba Miembe Mihundji Mikansi Mikarikari Mikeni Mikiaka Mikiese Mikinga Mikinga I Mikinzi Miko Mikoko Mikuba Mikubi Mikusu Mikwanga Mikwati Mikwati-Pupu Mikwi Mikwit Milanga Milapo Milombi Milongo Milundu Mimbenga Mingweda Mingweno Minkanda Minkuma Minkwo Mipelenge Miputi Misele Misembe Mishimbi Misibo Misimbiri Misimisimi Misola Misongi Mitanu Miteki Mitete Mitimiti Miti-Miti Mitsamba Mitsanga Mitsenge Mitshakila Mitshi Miyati Mizita Moaka Moambo Moanza Mobando Mobei Mobiekum Mobima Mobini Mobiri Mobu Mobuingi Mokaie Mokala Mokamo Mokango Mokanza Mokata Mokiki Mokilo Mokilu Mokinzo Mokola Mokono Mokubi Mokulu-Matoba Mokwebe Moliamba Moliambo Molieme Molieme Deuxième Molili Mombanda Monana Deuxième Monana Première Mondo Monodia Monterensie Monungo Mopalanga Mopoi Mopulu Moringongo-Bambala Moringongo-Bangongo Mosaka Mosala Mosampwa Mosandamo Mosandji Mosanga Mosango Mosango Deuxième Mosango Première Mosangu-Kimomfu Mosapo Mosenge Mosenge-Gunga Mosenge-Kandori Mosenge-Masi-Manimba Moshi Moso Mosongo-Mill Mosueia Motorensiene Mowele Mowembi Moyala Moyeke Moyene I Moyene II Moyombu Mozo Mpasa Mpene Mpimei Mpo Mpua Mpuhu Mputu Muanantei Mubemba Mubimwei Muboko Muboko-Kihungana Mubolo Muboti Mubuoto Muebe Mueme Mueyembala Mufuru Muiemu Muisila Mukala Mukesa Muki Mukiate Mukie Mukila Mukilu-Lubase Mukimata Mukinga Mukisu Mukoko Mukokoso Mukuka Mukuliluga Mukulubumba Mukulungu Mukumbi-Tseke Mukunza Mukunzu Mukuri Mukusukusu Mukutu Mukuye Mulaku Mulambo Mulasa Mulasa-Kakwitu Mulashi Mulopo Tenda Mulopo-Kamungu Mulopo-Kasandji Mulopo-Kuka Mulule Mulumbu-Muzalu Mulungu Mumanga Mumbima Mumbonda Munamasala Mundanda Mundele Mundelongo Mundembi Mundonda Mundondo Munene Munga Mungolo Mungulu-Tsakala Troisième Muniania Muni-Kenge Muni-Mohemba Muni-Ngulu Muniozo Munkui Munzali Munzimba Muo Mupepe Mupungi Murkam Musango Musanza Musekele Musekere Musekeri Musene Musengu Mushie Mushie-Buri Mushima Mushimba Mushinga Mushuni Musiodikidi Musobo Musongo Musumba Musungu Musunu Musuri Mutema Mutindji Mutoi Mutoka-Kalunga Mutoni-Toi Mutselenge Mutuakombo Mutuati Mutubu Mututi Mutwa Muvalu-Peshi Muwanzala Muyanika Muzuma Muzunimo Muzunzu Mvula-Mavumbi Mwakiadi Mwama Mwambele Mwambia Mwambo Mwana Mwana-Kafuwa Mwana-Zita Mwana-Zita-Vuamba Mwanga Mwaysbana Mwebale Mwekere Mwekoki Mwela Mwela-Kwati Mwela-Makembi Mwela-Ndua Mwele Mwembe Mwenkitu Mwenzie Namba Naundu Ndala Ndele Ndimi Ndjari Ndui Ndui Deuxième Ndunga Ngaba Ngala Ngamoja Ngandangala Nganga Ngari Ngefu Ngelamalita Ngelebe Ngele-We Ngi Ngilu Ngi-Muwandaka Ngini Ngonda-Kapangu Ngonde-Luwe Ngonde-Sanga Ngula Ngulumushitu Ngunzi Ngwaba Due Ngwakigwaki Nhui Niadi Niama Niangina Niazuka Nienge Nikai Nikala Ninga Niskie Nkara Nko Nkomo Nkunga Nkwasa Nkwe Nsaba-Nkaka Nsaka Nsakaya Nsalwo Nsaye Nseke Nsene Nta Ntalamalita Ntete Nto Nto Banza Nto-Mikiaka Ntsikwo Ntsinemwei Ntui Nzao-Nzadi Nzashi Nzenze Nzimba Nzium Nzofu Nzofu-Manianga Nzofu-Yembeshi Nzombi Nzu Nzumenzo Nzungu Nzwanga-Fioti Obere Obiama Okonkok Opoyengo Pai Paie Pai-Kongila Pama Pamba Pamwei Pana Pana-Moke Pana-Rive Panga Panga-Maka Panga-Mbele Pangu Pani Para Pasesi Pelo-Kindundu Pelo-Kumbi Pene Perepere Deuxième Perepere I Peshi Piangu Pienene Pimon Pindi Pindji Pindjiri Pinene Pinzi Deuxième Pinzi Première Pita Plaine de Bumba Plaine de Gongo Plaine de Makila Plaine de Mutelo Plaine de Mutsinga Plaine de Mutundi Poi Pokane Pokashimba Pombo Pondji Ponga Poudu Puanga Pukapuka Pukulu Pukusu Pulubumba Puma Pune Punga Pungu Punkulu Punza Première Pupu Puti Putu Putubongo Putubumba Putukanda Putukanga Putumbumba Puvusu Pwanga Pwiti Pwono Rala Ribukuba Rimbo Saba Sabensi Saio Saka Sakambanz Sake Sala Sambaseke Sambasi Samo Sanda Sandwo Sangi-Sangi Sankaya Sanza Sawana Saye Sebena Sekwa Sekwa-Kiloka Seli Shamula Shembele Shia Shie Sieme-Sieme Sieto Simba Simba-Baka Simba-Mangangi Soba Sodi Soku Sondji Songo Sonji Sopo Su Sua Sulu Sumba Sunumbale Swa-Bagata Swa-Bangu Swa-Buya Swa-Kahumba Swa-Kapende Swa-Kasongo Swa-Kitamba Swa-Mazindu Swana Swa-Ngoye Swa-Tongi Swa-Tsaku Swa-Yamba Swa-Yamlu Sweka Taka Takwe Tamba-Kaka Tampundu Tana Tandu Tanduli Tangango Tanga-Ngudi Tango Tango-Gomena Tango-Idiofa Tango-Kirina Tangombe Tarabanga Tashi Tata-Mayamba Tata-Mbemba Tatsiata Tatu Teba Tebe Teku Temuli Ti Tiala Tobe Tome-Lombo Tomenkuye Tomokoko Tondi Tongoli Tongo-Tongo Tsakala Tsakala-Kibuila Tsakala-Kihungu Tsakala-Kindi Tsakala-Nseke Tsakala-Nzari Tsako-Meya Tsambeski Tsanga Tsepi Tshama Tshampere Tshangunu Tshiama Tshimbanda Tshimbane Tshindeye Tshiobo Tshombondi Tshukotshuku Tsiese Tsomi Tsongo Tuka Tumba Tumbuta Tunga Tungesi Tuniba Turu Tutanga Tuzundu Twala Ubunwei Uge Ukiane Uwe Vanga Voko Voshi Vuanga Vula Vushi Wa Wama Wamba Wangu Webe Wele-Wele Woka Wuba Wuba-rive Yaku Yama Yama-Fumuputu Yamba Yambau Yambeshi Yasa Yebele Yelele Yelenge-Kasongo Yelenge-Kimbata Yembe Yenge Yense Yenzi Yese Yete Yeye Yimina Yoini Yoko Yonzi Yoshi Yumbu-Yumbu Yunga Yungu Zaba Zakulu Zalala Zamba Zambala Zambi Zandu Zandu-Kasoma Zandu-Kilundu Zandu-Ngulu Zanga Zembi Zimbu Zinda Zita-Kayombo Zofu Zombi Zombo Zonoa Zumbili Zumina Zunzu Zwanga Babuye Baie-Musenge Bai-Tshibala Bajika-Ngondo Bajilanga Bakasanga Bakashika Bakwa Kalongi Bakwa Lukusa Bakwa Mba Bakwa Mukala Bakwa Nkwadi Bakwa Punge Bakwa Tinibwe Bakwa Tshiluila Bakwa Tshitomgo Bakwa-Bayi Bakwa-Bowa Bakwa-Bumba Bakwa-Bwanga Bakwa-Kabeya Bakwa-Kalombo Bakwa-Kalubi Bakwa-Kalubi a Lukusa Bakwa-Kalunga Bakwa-Kamunu Bakwa-Kasansa Bakwa-Kashile Bakwa-Kolela Bakwa-Kongolo Bakwa-Lukanda Bakwa-Malaba Bakwa-Masela Bakwa-Mbeya Bakwa-Menga Bakwa-Mowa Bakwa-Mpasu Bakwa-Mpata Bakwa-Mpuka Bakwa-Muala Bakwa-Mukendi Bakwa-Mulembo Bakwa-Mulumba Bakwa-Mwala Bakwanda Bakwa-Ndola Bakwa-Nyoka Bakwa-Nzeu Bakwa-Poie Bakwa-Punga Bakwa-Pungue Bakwa-Tshala Bakwa-Tshibaka Bakwa-Tshibuye Bakwa-Tshibuyi Bakwa-Tshilanda Bakwa-Tshilenge Bakwa-Tshileo Bakwa-Tshiniuna Bakwa-Tshisamba Bakwatshiuma Balayi Bandai Banea Bange Banzi Bao-Kakese Bashingala Bayombo Bena Bena Dipumba Bena Kalangala Bena Kalula Bena Kamaie Bena Kamuala Bena Kapuadi Bena Kayembe Bena Lumbangani Bena Lupuana Bena Lutumba Bena Majamu Bena Malunga Bena Mbaie Bena Miskelenge Bena Mukendi-a-Mbuvi Bena Mulanda Bena Mushia Bena Ngandu Bena Pasu Bena Piana Bena Tchitala Bena Tsheji Bena Tshibola Bena Tshilemba Bena Tshipamba Bena Yombo Bena-Bajangi Bena-Bala Bena-Bale Bena-Bijimba Bena-Boi Bena-Bowa Bena-Boya Bena-Boyo Bena-Dalabombo Bena-Gandu Bena-Heza Bena-Hulungu Bena-Hunga Bena-Ilonga Bena-Ilunga Bena-Kabala Bena-Kabale Bena-Kabamba Bena-Kabangu Bena-Kabanza Bena-Kabea Bena-Kabemba Bena-Kabimba Bena-Kabinene Bena-Kabombo Bena-Kabonga-a-Ntshile Bena-Kabongo Bena-Kabula Bena-Kabundi Bena-Kabungu Bena-Kabuya Bena-Kabuyu Bena-Kadima Bena-Kafutu Bena-Kahiki Bena-Kakono Bena-Kalanga Bena-Kalangala Bena-Kalemba Bena-Kalenda Bena-Kalende Bena-Kalengela Bena-Kalombo Bena-Kalondji Bena-Kalonga Bena-Kaluba Bena-Kaludi Bena-Kalunsi Bena-Kambuji Bena-Kande Bena-Kaniama Bena-Kaninda Bena-Kansa Bena-Kapanga Bena-Kapeta Bena-Kapete Bena-Kapiamba Bena-Kasadi Bena-Kasengaie Bena-Kashiaba Bena-Kasonga Bena-Katengila Bena-Katongo Bena-Kaye Bena-Kayemba-a-Tshimanga Bena-Kazadi Bena-Kazadi-Kavula Bena-Kenapumbi Bena-Kimbe Bena-Kombe Bena-Kondi Bena-Kongolo Bena-Kusi Bena-Lubadi Bena-Lubashi Bena-Lukeji Bena-Lukusa Bena-Lulenga Bena-Lungu Bena-Lunza Bena-Mabunga Bena-Malenga Bena-Mama Bena-Mande Bena-Manionga Bena-Matamba Bena-Matemba Bena-Mbala Bena-Mbale Bena-Mbikaie Bena-Mbui Bena-Mbuya Bena-Mbuyi Bena-Milamba Bena-Mpata Bena-Mualaba Bena-Muamba Bena-Muanza Bena-Mukadio Bena-Mukandi Bena-Mukendi Bena-Mulu Bena-Mulumba Bena-Mulumbu Bena-Mulundi Bena-Munganda Bena-Musampa Bena-Musuasua Bena-Musuyi Bena-Mutombo Bena-Mwamba Bena-Ndala Bena-Ngaia Bena-Ngoie Bena-Ngoyi Bena-Nsona Troisième Bena-Nsoni Bena-Ntite Bena-Nyambala Bena-Nyandu Bena-Nzalala Bena-Nzengu Bena-Odia Bena-Pandajila Bena-Pandu Bena-Poie Bena-Pungwa Bena-Samba Bena-Soma Bena-Tanda Bena-Thimoni Bena-Tite Bena-Tomba Bena-Tshiaji Bena-Tshiamba Bena-Tshibala Bena-Tshibamba Bena-Tshibangu Bena-Tshibingu Bena-Tshidiadia Bena-Tshifunku Bena-Tshikumba Bena-Tshilaba Bena-Tshilengelenge Bena-Tshiloba Bena-Tshilumba-Mukulu Bena-Tshimpuma Bena-Tshimuni Bena-Tshinamu Bena-Tshisangu Bena-Tshishi Bena-Tshishimbi Bena-Tshiswaka Bena-Tshitenge Bena-Tshitungu Bena-Tshitutu Bena-Tshivuadi Bena-Tshove Bena-Tshovu Bena-Tsilamba Bena-Tumba Bena-Twite Bena-Zeba Bethenze Beya-Mutombo Beya-Pumbu Biaie Biaye Bibanga Bikai Bilala Bimbi Boa Boloto Bondo Bondoie Bovo Boya Boye Buana Buanga Bufa Builambe Buinana Bukaja Bukasa Bukula Bula Bulambula Bulamua Bulomba Bumba Bumbu Buna Kasansa Bunga Bunie Busanza Buwanga Buye Bwa-Bumba Bwa-Mupanda Bwania Bwasanga Bwa-Tambwe Concession Bovy Concession Compagnie du Chemin de Fer du Bas-Congo au Katanga Concession Jamart E. Concession Jamart F. Concession Michiels Concession T’Serclaes Daie-Boloto Daie-Konji Daie-Mutombo Dala Dalabombo Damba Demba Denille Diaba Diambo Dianda-Tundu Dianga Diangi Dianiama Dibaya Dibwe Dihumba Dikesha Dikola-Kabwanza Dikongala Dikunguya Dilambila Dilambo Dilanga Dinganga Dinkamba Dipagu Dipumba Dishiya Lukamu Ditu Diyuka Domaine de Chasse de Bushimaie Dukonke Dumba Dumbi Dunga Dunianga Elkasai Enamba Etondo Ferme Ferme Cobelkat Fuinki Fusulu Fwamba Fwamba Mukania Gambaloka Gandajika Gandajika Airport Gandu Ganza Geleka Godu Goie-Kabwele Goye Gulungu Hunga Ifakasa Ijunji Ikongo Iku Ilengela Ilowiji Ilunga Imvua Ineac Ingidi Ipafu Isada Isala Isaneji Isanza Isasa Ito-Kasheba Itshintshi Itunduya Iula Iytunduya Kabafa Kabafu Kabala Kabamba Kabanda Kabanea Kabanga Kabangula Kabanji Kabanza Kabanze Kabashani Kabasubalo Kabata Kabaya Kabaz Kabea-Milemba Kabeji Kabengele Kabenzo Kabeya Kabeya-Madi Kabi Kabiji Kabike Kabikele Kabila Kabilamba Kabilash Kabilashi Kabimba Kabinongo Kabiolo Kabitandaie Kabitata Kabokantanda Kabonda Kabondo Kabongo Kabonza Kabovi Kabu Kabuash Kabudi Kabudiana Kabudinda Kabudinde Kabuiku Kabuka Kabukabuka Kabukasa Kabukosa Kabukubaku Kabukubuka Kabula Kabuluku Kabunda Kabundi Kabundu Kabunga Kabungu Kabutshi Kabuwa Kabuy Kabwa Kabwaie Kabwanga Kabwe Kabwe Katanda Kabwebwe Kabwela Kadambwa Kadiama Kadiamishinsi Kadiangala Kadiankadi Kadiaye Kadibumba Kadila Kadinda Kaditwa Kadur Kaduvic Kadwiyi Kafinga Kafita Kafua Kafuata Kafuma Kafumbu Kafundabeni Kafundanga Kafwaya Kafwengi Kagan Kahamba Kahinda Kahinde Kaie Kailu Kailunga Kaimihi Kaitonge Kaiul Kajenda Kajila-Bunyi Kajilaie Kaka Kondo Kakabobo Kakala Kakambaie Kakanda Kakandji Kakanga Kakasei Kakenke Kakikinania Kakinda Kakoke Kakola Kakona Kakonyi Kakulu Kakuluku Kakumba Kakuna Kakunda Kakunga Kakungaie Kakungana Kakunku Kakwende Kala Kalaba Kalabalaba Kalabwa Kaladi Kalai Kalaie Kalala Kalala-Mondele Kalala-Pambu Kalama Kalamba Kalamba-Zoba Kalambu Kalanda Kalanga Kalata Kaleka Kalele-Tshilunga Kalemba Kalembae Kalenda Kalenga Kalengaie Kalengalenga Kalenga-Makole Kalenge Kalengela Kalengula Kaliapende Kaliembai Kaljitonga Kalobaji Kaloge Kaloko Kalombo Kalongi Kalongo Kalonji Kalonji a Kina Kalowiji Kalua Kaluata Kalubaka Kalubanda Kalufudiana Kalukasa Kalulu Kalume Kalunda Kalundu Kalundwe Kalunga Kalunga-Mesu Kalusamba Kamabiabia Kamabwe Kamajanja Kamakala Kamakoko Kamakola Kamakonda Kamalaku Kamalenge Kamalu Kamaluikulu Kamana Kamanaluku Kamanda Kamanda-Kadile Kamanga Mbuji Kamangu Kamankaye Kamanua Kamashimba Kamata Kamatenge Kamatolo Kamayolo Kamba Kambamba Kambata Kambaya Kambaye Kambele Kambelele Kambi Kambiamba Kambimbi Kambole Kambombe Kambuju Kambuye Kambwanga Kametabala Kamfui Kamfumu Kamibanza Kamiji Kamiji Saint Charles Kamilangala Kamilomba Kamilombe Kamininge Kaminji Kaminow Kamisangi Kamisenene Kamishi Kamisoso Kamisunde Kamisundu Kamitombe Kamitshi Kamitunga Kamixangi Kamizi Kamkenge Kampemba Kampila Kamponde Kampongo Kampunga Kamsala Kamuandu Kamuanga Kamuanji Kamuenze Kamukishi Kamulamba Kamulolo Kamulu Kamundji Kamushilu Kamusimba Kamutambayi Kamutanga Kamutshi-Lendji Kamvula Kamwabari Kamwalanyi Kamwanda Kana Kananga Kanangila Kanda Kandaie Kanda-Kanda Kandongo Kandu Kanene Kanfumu Kanga Kangaji Kangala Kangala Sangandu Kangalanga Kangana Kangandu Kangimbi Kangolo Kangoma Kangombwe Kangombwele Kangongo Kangonza Kangulungu Kaniaka Kaniama Kaniama Airport Kaniamanga Kaniana Kaniemba Kanienge Kaniki Kaniki-Kamenga Kaniki-Kapangu Kaniki-Mafuta Kanionge Kankabadi Kankala Kankamata Kankana Kankasamba Kankese Kankeshi Kankete Kankinza Kankple Kankulongu Kankulu Kanona Kansansa Kansendji Kanshi Kantalaw Kantanga Kantete Kantole Kantulumba Kantupi Kanu Kanunkina Kanyangombe Kanzaie Kanzanzama Kapala Kapambi Kapampa Kapanda Kapanza Kapapfu Kapata Kapbanda Kapemba Kapembe Kapense Kapepa Kapesa Kapeta Kapita Kapiteni Kapombe Kaponshi Kapope Kapuekela Karne Kasaba Kasabile Kasabo Kasabuka Kasadi Ngoie Kasafufe Kasala Kasamba Kasanda Kasandji Kasanga Kasangaie Kasange Kasangui Kasaniba Kasanji Kasansa Kasanyi Kasanza Kasasadji Kasasara Kasasela Kaseba Kasebenji Kaseka Kasekaie Kaseke Kasekei Kasele Kasemene Kasene Kasengaie Kasengele Kasengo Dilundu Kasense Kasese Kaseya Kashama Kasheshe Kashilu Kashimbaye Kashinde Kasiki Kasingaful Kasobo Kasobu Kasonda Kasongo Kasongo Kakese Kasonkonyi Kasuile Kasuya Kata Katabaie Katala Katalaie Katamba Katambala Katambwe Katana Molombo Katanda Katanga Katangela Katanto Kate Kateba Kateka Katembwe Katempete Katendala Katende Katendele Katengele Katenta Katoba Katobo Katoga-Kengolo Katolo Katombe Katondo Katonko Katoto Katsha Katshabwa Katshia Katshiabala Katshieba Katshikale Katshilenga Katshinana Katshisungu Katu Katubaie Katubembe Katubondo Katubu Katuidi Katuishi Katukaie Katumbutumbu Katune Katunga Katunkama Katupuile Katuthi Katwa Katwai Kau Kaukaie Kaulu Kavikuza Kavu Kavule-Tshikuku Kavunduji Kavuvinda Kawa Kawaie Kawanda Kawara Kawata Kawelenge Kawumangabo Kayakaya Kayambaie Kayemba-Ngombe Kayembayemba Kayembe Kayembe-Malala Kayembe-Nzolo Kayidi Kayomba Kayumba Kazaba Kazadi Kazaka Kazenga Kebua Kedi Kedia-Kedia Keka Kelanie Kele Kelongo Kena Kende Keta Keyalungu Kiapono Kibatanga Kibila Kibwai Kie Kifutshi Kigila Kikuwi Kilamba Kimakaka Kinzamba Kisamba Kisanga Kisato Kishi Kitanda Kitengo Kitongama Kivuie Kiwangi Kolenga Kolong Kombo Kombo-Kabamba Konda Konga Konge Kongolo Kongolo-Ngoma Konko Kope Kosoko Kuatshishi Kubaka Kubala Kubanda Kubawa Kubua Kuduka Kufingisi Kufua Kufwishi Kuiji Kujila Kukuyu Kulanda Kulemba Kumulala Kumulenge Kuna-a-Tubala Kunata Kunzefu Kusha Kusu Kutate Kutshidila Kuvimba Kwadi Kwanyi Lac Dinga Lac Kapanza Lac Lomba Lac Zumba Lalo Launga Lefu Lengele Libafu Libanji Première Liboi Liombo Lipfumba Loango Loanyi Loatshi Lola Lomwele Longoie Longondi Lonji Lopopila Lovo Lovoi Lowa Luadi Luaga Luaidshi Lualu Luambala Luana Luangeshi Luashi Luatshi Luba Lubala Lubambale Lubanda Lubela Lubenzo Lubinda Lubishi Lubondai Lubondoie Lubue Lubunga Lubunza Ludi Luekeshi Luembe Luenga Lufambishi Lufanda Lufihu Lufingula Lufuya Lugia Luhafu Luhatahata Luhonda Luiengu Luilu Luina Luishia Lujima Lukalaba Lukalu Lukanko Lukashie Lukaya Lukele Lukenge Lukola Lukoma Lukombo Lukona Lukosa Luku Lukuba Lukudi Lukuji Lukuna Lukuni Lukusa Lukushi Lulamba Lumana Lumasiba Lumbu Lumbudi Lumenge Lumpatshia Lumpungu Lumumu Lunga Lunia Luniatsha Lunieba Lunkala Lunkese Lunkobo Lupaka Lupama Lupambu Lupanda Lupata Luputa Lusadila Lusala Lusamba Lusanga Lusanza Lusema Luseme Lushi Lushika Lushikiki Lushimi Lusono Lusui Lusuku Lusumba Lutanda Luvua Luvula Luvumbuie Luwa Luzamba Lwedila Mabambula Mabanga Mabasa Mabundai Mabwe Madiasoke Madilandaie Madimba Mafumfa Mafwanda Magolove Mahembe Mailamba Maison Cattoiu Majiba Makanda Makangu Makasa Makovo Makubu Malafudi-Nord Malafudi-Sud Malanda Malangaie Malela Malemba Malenga Malinga Malole Malu Malume-Musulu Malundu Mamba Mamiusa Mampaka Manala Mangala Mangi Maniono Mankanza Mansamba Masaka Masamba Masampi Masanga-Tshaba Masasa Masasagui Masekeye Masengu Masonsi Masonzo Matako Matamba Matamva Matshimwa Matshioni Matshishi Matumba Mauhimba Maula Mazia-Mpata Maziba Mbala Mbala-Bokasa Mbangomba Mbaye Mbeji Mbimbangu Mbui Mbui a Kanga Mbuji Mayi Airport Mbuji-Mayi Mbuji-Mayi City Mbuji-Tshimaka Mbula Mbumbi Mbuya Merode Miabi Mialangu Mibi Mie Sud Mikaie Mikefu Mikete Milembwe Milonga Minunda Misanga Misombo Deuxième Misombo I Miswambuyi Mitopi Mitshilisho Mitunda Miya Miyovo Moabi Mofwaye Moi Mokile Mokoka Mokolo Mokuta Mole Molowa Moma Mondeke Monji Mont Kabala Mont Kayumba Mont Muyenga Monza Monzaie Monzui Mosaji Mova Mpadi Mpako Mpashi Mpasu Mponde Mpoyi Mpuku Mpunda Mpungu Muaba Muabi Muala Muala Madi Muale Muamba Muambi Muana Muana-Muamba Muandji Muanza Malala Mubedi Mubidi Mubomba Mudiangama Mudiapombe Mudiba Mudima Mudiola Mudita Mudiwa Muega Mueka Muele Muena-Mbuji Mufua Mufukina Mufuya Mugensi Muhanda Muhunda Muiekela Muika Muisanza Mujika Mujikua Mujila Mukakate Mukale Mukamba Mukambu Mukamwangala Mukanashi Mukanda Mukanda Mukese Mukanda Munene Mukanu Mukasongo Mukasuye Mukaya Mukaya Tshingima Mukedi Mukejnu Mukelagombe Mukele Mukelenge-Mulolo Mukena Mukendi Mukendi Zebede Mukendi-Bakwa Mukendi-Kongo Mukenge Mukeno Mukete Mukoko Mukole Mukonga Mukongo Mukonse Mukosa Mukoya Mukua Kapampa Mukudi Mukuiu Mukului Mukuma Mukumbi Mukuna Mukuna-Katubi Mukunda Mukundu Mukunguie Mukunzu Mukupu Mukusui Mukuto Mukwaie Mukwanda Mukwandianga Mukwa-Tshikaji Mukwilu Mulamba Mulambu Mulangugi Mulata Mulavudi Muledi Mulekaie Mulela Mulemba Mulene Mulengi Mulepoda Mulilu Mulkugi Mulomba Mulonda Mulonga Mulumba Mulumba-Kapuku Mulumba-Maie Mulumbuye Mulume-Mutshi Mulunda Mulundu Deuxième Mulundu Première Mulunga Mulungi Mulungu Mulunguie Mulunguyi Mulwila Mumbea Mumoma Mumvu Mumvuie Munanga Munda Mundambo Mundemba Mundembo Mundoie Munene Mungu Munguluku Munkala Munkia Munkojo Muntshi Munundu Munzio Mupapaie Mupembaye Mupombu Musa Musadis Musakatshi Musamvuie Musangwa Musangwaji Musanji Musao Musekete Musele Museledja Musenene Musenga-Banza Musengaie Musenge Musenji Museo Mushia Mushilu Mushinga Musongaie Musonzoi Musua Musuie Musulanganda Musulunji Muswaswa Muta Mutambula Mutantania Mutendo Mutengweji Mutiowe Mutokoye Mutokoyi Mutombo-a-Tshibang Mutoto Mutshimbi Mutuembue Mutui Mutusenga Mutwaya Muvi Muvuji Muvuma Muvunda Muweji Muyaluka Muyaya Muyaya Kalamba Muyi Muyiba Muyumba Muyumbe Muzembe Muzondi Mvanzuba Mvubu Mwadi-Kayembe Mwadi-Tshilemba Mwala-Manda Mwamba Mwamba Mukania Mwamba-Tshisipungu Mwana Mwana Mpanga Mwana Sanga Mwana Tshilenge Mwana-Mbuyi Mwana-Mwamba Mwana-Panda Mwana-Tshala Mwanda Mwandikui Mwanduie Mwanga Mwangala Mwange Mwango Mwangola Mwansaie Mwansangodi Mwanza Mwanza-Ngudie Mwasa Mwaymbu Mwedi Mwela-Ngoma Mwelongaie Mwena Bolo Mwena Kadima Mwena Matanda Mwena Mukenji Mwena Tshuma Mwena-Molimba Mwena-Tshuma Mwendeka Mwendjana Mwendjelambala Mwene Bala Mwene Ditu Mwene Kasenge Mwene Kashita Mwene Misombo Mwene Muzanza Mwene Muzaza Mwene Mwamba Mwene Mwelo Mwene Ntaye Mwene Sanga Mwene Tshibala Mwene Tshilenge Mwene Tungu Mwene-Ditu Mwene-Ditu Ilungo Mwene-Pila Mwene-Sanga Mwene-Tshaji Mwene-Tshanika Mwene-Yao Mwonga Nalenga Ndala Ndala Ngweji Ndaya Ndaye Ndaye-Tshombe Ndimina Ndombo Ndumbu Nenempe Ngade Ngambo Nganda Ngandajika Ngenza Ngoie Ngoi-Kamwania Ngoma Ngombe Ngoni Ngonyi Ngoyi Nguji Ngulube Ngweji Ngweji-a-Mbuyu Ngweji-a-Mvula Ngweshangadi Nhaka Niabilu Nianga Nianzala Nioka Nisele Nkama Nkefu Nketa Nkole-Mayombo Nkulu Nkunza Nkwonda Nsadi Nsaka Nsenga Nsona Nsonsa Ntikita Ntite Ntoka Ntuku Nubuisisa Nyandu Nyanga Nyanji Nyidima Nzaba Nzasi Nzengu Nzeo Nzewu Ohaya Ojikula Ombwe Palmeraises-Ditu Pamba Zeo Pampa Pania Patu Pemba-Zeo Penga-Mutomba Pha Piana-Mukala Piania-Mukela Pika Mbuji Pio Mitondo Poie-Kashama Poie-Mesu Polonto Pompombo Ponda Popoie Province du Kasaï Oriental Puan Puila Pumbe Pumu Punda Punga Pungwe Ruana Ruongo S.E.C. Ndeka Ndeke Sabanga Sai Saint Amand Saint-Amand Saka Sakadi-Kisenge Sakadi-ya-Mbula Sakoi Sakonza Salaba Salahani Samba Samukini Sandu Sanga Sangaba Sangaie Sangaie Deuxième Sangu Satuboko Selemo Senga Senga-Senga Shimatoko Showo Shoya Songo Sonsoi Susuli Tabacongo Talala Tamape Kayempe Tambue-Mwenza Tambwe Tambwe-Mapaka Tambwe-Yangala Tanda Tangila Tapa Tenga-Makongo Tenibo Tikina Tilen Saint Jacques Tinabwando Tonto Tshaba Tshabala Tshabilia Tshabobo Tshabono Gare Tshabuta Tshabwenge Tshadiminda Tshafuila Tshaka Tshakamate Tshakudimba Tshamabonda Tshamabondo Tshamato Tshamba Tshambula Tshami-Kamina Tshamvi Tshanga-Tshanga Tshdamb Tsheji Tshelele Tshelu Tshembe-Kamwango Tshenda Tshenke Tshepelayi Tsheshe Tshiaba Tshiabakishi Tshiabasara Tshiakama Tshiamba Tshiamba Tshibuidi Tshiamvi Tshianzangama Tshiapona Tshiazoboi Tshibaba Tshibaka-Kaji Tshibakulu Tshibala Tshibalabala Tshibalabala-Kalamba Tshibale Tshibambula Tshibanda Tshibango Tshibangu Tshibanka Tshibata Tshibembu Tshibi Tshibi Sana Tshibiaye Tshibikatwa Tshibikosa Tshibila Tshibimangu Tshibisenze Tshibitshibi Tshiboka Tshibolo Tshibombo Tshibondo Tshibuba Tshibuka Tshibukoka Tshibula Tshibumba Tshibundu Tshibwe Tshibwenga Tshibwita Tshidiangi Tshidibu Tshidimba Tshidud Tshiele Tshienda Tshienda-Kaba Tshienena-Kanishimbu Tshijandaie Tshika Tshikala Tshikala-Mukeba Tshikanikua Tshikekala Tshikemeshi Tshikenda Tshikoie Tshikoka Tshikoloi Tshikongo Tshikose Tshikualenge Tshikui Tshikula Tshikulakula Tshikwa Tshilaba Tshilamba Tshilana Tshilanda Tshilao Tshilbutu Tshilei Tshilekeshi Tshilembi Tshilembo Tshilenge Tshilenge District Tshilengele Tshilengi Tshileo Tshileta Tshilolo Tshilombe Tshilombo-Bola Tshilombolombo Tshilonda Tshilondo Tshilu Tshilumba Tshilumbu Tshiluna Tshilunde Tshilundu Tshilundu Ilunga Tshilundu Sabwa Tshilunga Tshiluwe-Baie Tshimaba Tshimaie Tshimakaka Kamwanga Tshimakaki Tshimakoko Tshimala Tshimambetshi Tshimana Mashole Tshimanda Tshimangala Tshimangolu Tshimato Tshimaye Tshimaziza Tshimbadi Tshimbaie Tshimbala Tshimbambula Tshimbao Tshimbembe Tshimbulu Tshimbundu Tshimene Tshimenga Tshimfalu Tshimilundu Tshimpanga Tshimpansula Tshimpungu Tshimshimbi Tshimua Tshimumuga Tshimungu Tshimva Tshimwefu Tshina Tshinana Tshinanduku Tshinda Tshindanda Tshine Tshinema Tshinemba Tshinene Tshingelungu Tshingombe Tshiniama Tshinkata Tshinkenke Tshinkowa Tshinkudi Tshinkunku Tshinsengele Tshintshanku Tshintume Tshinuambo Tshinzamu Tshinzoboi Tshioji Tshiomba Tshiombo Tshioni Tshiotonuyi Tshipama Tshipama ya Moto Tshipamba Tshipata-Tshamuta Tshipe Tshipemba Tshipinda Tshipoko Tshipwawa Tshisamba Tshisamba-Tshamutonji Tshisangesha Tshisele Tshisenda Tshisenga Tshishi Tshisila Tshisilaka Tshisilesiba Tshisilu Tshisimboye Tshisulu Tshisumba Tshisungu Tshisunza Tshisunzu Tshiswaka Tshiswa-Luanga Tshita Tshitako Tshitambala Tshitapa Tshitate Tshitavi Tshitende Tshitetelu Tshiteyi Tshitole ya Ganze Tshitolo Tshitonhoni Tshitowaya Nzavu Tshitshiaba Tshitunda Tshitundu Tshitungulu Tshiudi Tshiula Tshivumbayi Tshivuro Tshiwatabelo Tshiyo Tshobo Tshobobo Tshofa Tshoma Tshondo Tshukalaba Tshula Tshuma Tuabula Tubeya Tulombo Tumba Tumba-Kadiepe Tumba-Tambwe Tundu Tunsana Tunwanga Tuzule Udyamwanda Umaie Utitambo Utubi Uylolo Uyongo Vunaie Vuvu Wanawunga Wehuma Weji Welelemo Wianza Wibanza Wibiaye Wiboyi Wiengo Wifuta Wikali Wikudi Wilonga Wisele Witotoie Witshimaie Witshitshi Witu Wowola Wukuye Wumba Wumbu Yabui Yabuy Yabuyi Yamba Yanduyi Yanza Ygiagisi Zaba Zaila Zambwa Zavualukanga Zomuonda Zone de Gandajika Bakamba Balendjale Balinda Balombolombo Bambi-Gangi Bandjow-Moke Bangi Bankai Basombo Batoko Bawose Bebongo Bekalo Belapa Belembe Belombo Bengo Besako Besaw Besombi Betumbe-Bongo Bikaki Bilubi Bobala Bobangi Bobeke Bokebeni Bokignate Bokole Bokotokiri Bokunda Bolia Boliayangwa Bolima Bolindongo Bolingo Boliompeti Bololo Bolondo Bolondo Nkandja Bolonga Bolongo Bolula Bolumbu Bombamba-Ivoto Bombenda Bomongo Bondo Bongemba Bongengomo Bongo Bongo II Bongo-Makeli Boota Bopambu Bopupi Bosandu Boseke Bosenge Bosere Bosha Bosie Bosobe Bosoli Botangere Botemola Botitembongo Botola Botuali Botwala Bovani Bowa Bowele Boyondu I Bueti Busempoto Busepoka Crique d’Obeke Crique de Banga Crique de Gongo Djalimboka Djampie Djobe Donga Dongo-Mbala Donkese Dumi Dwa Dwarani Eba Ebabaka Ebandja Ebele Ebongo Eleke Elingala Elomba Elombekita Elonda Epambu Epepe Eranga Etei Ganda Ganda d’Obeke Ganda de Bolombo I Ganda de Bolombo II Gandemputu Gangi Gembo Gomoerenge Gongo-Mosengere Gongo-Yembe Iba Ibali Ibalingongo Ibali-Sud Ibamba Ibeke Ibeke-Bolia Ibenga Iboko-Bolombi Iboko-Monene Ifumba Ikali Ikenge Ikili Ikongo Ikongolo-Batwa Ilanga Ile Île des Termites Île Mombipoku Ilobo Ilombe Ilonga-Mpenge Iluaba Ilungu Inongo Inunu Ipanga Ipeke Isaba Isaka Isake Isanga Isangi Isendje Isoko Isongo Iteke Itwa Iyombo Kaluga Kandja Kangala Kasenge Kata Kebo Kelako Keluga Kenaubele Kesikendango Kiamakeli Kiri Kole Koletulu Kolo Kolobeke Konde Kuku Kuluamanza Kundu Kutu Kwikeri Lac Mai-Ndombe Lakololokongo Lampoke Laya Leba Letuki Levuli Likongo Lobakayo Lobalu Lobaya Lobongo Loka Lokangu Lokeni Lokoli Lokoro Lokoto Lokumu Lokuvu Lolia Lombe-Moke Lombi Lomeke Lopeke Losengi Loso Lotoi Luaba Luabu Luandja Lubamiti Lueke Lukanga Lukenie Mabamampolo Mafwa Makandja Makuluandonga Malondo Malualumba Mankeni Mantaba Masekese Masimba Matuka-Matuka Mbaki Mbala Mbale Mbebeti Mburo Mbuse Mputu Mbuye Mekiri Mesiri Mfuaki Mia Mokali Mokawa Mokolombu Mokula Mombokonda Momboyo Mongala Mongempongo Mongotaotwa Mosedjon Mosele Moshemini Mpa Mpanza Mpasa Mpe Mpese Mpo Mpokempela Mpombo Mposho Muko Munsimi Ndjaya Ndjua Ndwebe Nema Ngei-Djei Ngeli Ngolo Ngwala Nkala Nke Nkele Nkiemu Nkile Nkome Nkoso I Nkutu Nsalele Nsaw Nsonkila Nsonole Obeke Olongo-Nule Pangi Panza II Panza Première Pasa Patambalu Penge Piankana Pompe Sania Sekele Selenge So Tandengomo Tito Tumbe I Tumbe II Utangila Wanga Weti Yamba Yandja Yeli-Yamba Yembe Yia Yokole Yumbu Zampi Abuki Alimasi Alonga Ambuka Amekupi Ankomu Asani Asindi Avuanga Banga-Kisudi Bekoli Bengobiri Bibi-Kitambi Bikenge Bila Bimangi Binombi Bisamengo Bisoka Bokandju Bukafu-Kasambule Bulendelende Bulungu Bunza Butumba Bweni Deuxième Chute Shambe Difuma Difundi Dihaki Dikila Dingi-Pangu Djofa Dumba Dungu Elila Engo Eselo Etanga Etanga II Etuku Fundi Fundi-Sali Fwamba Ganda Gitumbi Gongo Ilewa Itambo Itangila Itumba Itunga Kabandilwa Kabela Kabila Kabingwa Kabulu Kabusi Kagelia Kailenge Kailo Kakaleka Kakinga Kakuli Kakumbi Kakunga Kaliba Kalima Kalinde Kama Kamango Kambelembele Kamina Kaminania Kamisuku Kamundala Kamutongo Kandeke Kandolo Kange Kangela Kangolingoli Kantumpi-Kisubi Kapinda Kaseka Kaseko Kasenga Kasubi Kasuku Kasukula Kaswende Katako Kombe Katambwe Katanga Katopa Katopa-Mafuku Katshomba Katumpi Kawa Kayuyu Kebanza Keitankondo Kembede Kenie Kiabangwa Kibala Kibanga Kibila Kibuli Kihembwe Kihemuwe Kikambe Kikolobo Kikuni Kikuru Kilima Kilimo Kilomètre Vingt-Huit Kiluania Kiluka Kilumbu Kilungulungu Kimbala Kimpiki Kimukungu Kimunda Kimungu Kindu Kindu Airport Kingombe Kingombe-Mbali Kingombe-Musese Kinkungwa Kinkungwa Airport Kinungu Kioloba Kipakata Kisikya-Lunguma Kisiwa Kisubi Kisulu Kitenge Kitima-Kokela Kitoko Kitumba Kituru Kizikia-Zumba Kubandana Kumba Kusu Kwemedu Lac Kasuku Likanga Likimbi Likulu Likunda Liwamba Lokandu Lokila Lokori Loloki Lombo Longalonga Lonioma Losomba Lotemo Lowe Lualaba Luasi Lubandu Lubango Lubelenge Lubile Ludju Lueki Lugulu Lukila Lukoie Lukulu Lukulukulu Lukulunga Lukungu Lukutumba Lula Lumamba-Mpanda Lumbila Lumbilanga Lumuna Lundu Lungombe Lungu Lungumu Lungungu Lupundi Lusamba Luseke Lusumba Lusungu Lutala Luti Lutundu Luyamba Lwembi Mabanda Mabondo Mabuli Makele Makindja Makoba Makobekwa Makoka Makongo Malela Mali Malingunu Malonga Mambwe Mandala Mandanda Mangalala Manga-Manga Mangubu Maniema Mantinti Matahama Matshatsha Matungulu-Ndjoloko Mbala Mbuli Metsera Mibanga Deuxième Mikele Miri Mitaku Mokama Mokele Molamba Mombala Mondenga Monganga Montanga Moyo Mpanda-Kisiakikunia Mpesa Mpila Mpundi Mubidji Mugele Mugobwa Mukoko Mulengesa Mundi Mungembe Munkula Musimba Musongwe Mutshikila Mutuma Mutumbu Mwinga Mwitia Ndakala Ndjali Ngoma Niamatende Nianga-Kambelembele Niasilibu Niembo Nima Nioka Ntala Ohambi Ohambi II Okandja Oke Oleke Ombela Ongembe Panda Pangi Pene-Ngole-Kalomba Pilipili-Kitumba Province du Maniema Rapide Makulu Riasi Risasi Salukwango Salumu Samba Sambiko Samweli Shilu Shoko Simbu Songo-Bitulu Songwe Sumba Swende Tabora Tende Teri-Limpongo Tieko Tshate Tshawamba Tshombe Tshombe-Lombe Tshomo Tshumbelume Tshumbi-Tshumbi Tuberi Tubuli Tuki Tulungu Tumbaka Tusaka Twango Ukula Ukuli Ukuna Ulamba Ulangati Undila Usango Utikuti Utshiko Utshu Waika Wapene Wazungu Wema-Mburi Wundu Yale Yalumba Yambo Yaulungu Yenge Yengunga Yubili Yuma Yumbi Zamba-Zamba Zelo Abengo Abombo Abonande Abongela Aga Aipembo Akula Akwolo Ambongo Ambuma Amonde Andzinga Angenga Aronda Asika Ba Bagaliena Bagban Baguma Bakabe Bakalua Bakunu Balabala Balade Bale Deuxième Bamba Banda Banda-Bakume Banda-Bakune Bandaka Bando Banga Banga-Makambo Banga-Melo Bangi Bango Batubwe Baw Baya Bayagaka Baye Bele Benge Bero Biabu Bibi Bigbi Bileko Bindu Binga Bobademana Bobadi Bobadi-Moke Bobai Bobala Bobandji Bobanganda Bobaya Bobele Bobende Bobila Bobobu Boboso Bobudu Bobusu Bobwengende Bodambuli Bodango Bodeba Bodigia Bodjelenge Boduasa Bodugbu Bodumbala Bodungula Bodwadoro Bodzame Boemili Bofulafu Bogbaka Bogbakusa Bogbanoga Bogbanza Bogbayala Bogbazima Bogbiminzo Bogbondjo Bogbonia Bogbwala Bogfafala Bogofo Bogondja Bogozo Bogute Bokalanda Bokamba Bokangadua Bokapo Bokapo-Rive Bokapu Bokaya Bokele Bokema Bokenga Bokolakiti Bokoli Bokondji Bokonge Bokongo Bokongo Deuxième Bokosa Bokula Bokumu Bokumu-Ngali Bokunde Bokundola Bokundu Bokurubi Bokuzubu Bokweli Bokwonge Bolaka Bolanga Boli Bolima Bologa Bolombo Bolongo Bolowo Bolowodza Boma Bomasi Bombakalo Bombalinga Bombana Bombanga Bombazere Bombia Bombo Bomboma Bominenge Bomoi Bomole Bomongo Bondagi Deuxième Bondagi Première Bonde Bonderi Bondongele Bondongo Bondua Bongabo Bongabo Première Bongabola Bongala Bongbe Bongbwoin Bongera Bongo Bongolia Bonguma Bonudana Bonzi Bonzia Bopandja Bopili Bopolo Borutwa Bosamboda Bosanga Bosangu Bosawa Bosele Boso-Amengo Boso-Dangbwa Bosoku Boso-Matombi Boso-Mbudi Boso-Modjebo Boso-Mweka Boswa Botikpo Boto Botola Botudua Botulu Bowara Bowolo Boyabagia Boyabanziko Boyabanziko Deuxième Boyabenzo Boyabozo Boyadongonde Boyafiligbate Deuxième Boyagati Boyagbabone Boyagbadaka Boyagbadua Boyagbafeta Boyagbangolo Boyagbativa Première Boyagbazara Deuxième Boyagbokoto Boyagbolongona Boyagoloko Boyagomodua Boyagonda Boyagotokola Deuxième Boyakabele Boyakamba Boyakea Boyakodo Boyakoko Boyakolokpala Boyakotokala Boyalea Boyalulia Boyamanga Boyamangana Boyambeleke Boyamzibodo Boyanangele Boyandawolu Boyanga Boyange-Moke Boyange-Zelo Boyanobela Boyanzenge Boyanzula Boyasebakarawa Boyasebalanga Boyasedua Boyasegbago Boyasegbali Boyasegbawe Boyasekandji Boyasekando Boyasembeli Boyasemele Boyasengese Boyasewakada Boyaswe Boyawambila Boyawanbia Boyawe Boyayenemo Boyazelemo Bozagba Bozalawe Buda Bugu Buli Bulugu Bulunu Bumba Bundja Bungu Businga Busu-Abongo Busu-Boko Busu-Bolongo Busu-Dema Busu-Dendani Busu-Dua Busu-Efuta Busu-Gindola Busu-Godo Busu-Gope Busu-Gope-Moko Busu-Gumani Busu-Gwete Busu-Kolo Busu-Kuyala Busu-Lenge Busu-Libundu Busu-Likwa Deuxième Busu-Likwa Première Busu-Lingo Busu-Mabo Busu-Mandji Busu-Mbengo Busu-Mbongi Busu-Mindwana Busu-Ndoloma Busu-Nongoni Busu-Nzanoa Busu-Pangoli Busu-Sambi Busu-Sembi Busu-Sengendi Busu-Tanda Deuxième Busu-Tanda Première Busu-Wanga Bwandza Bwanga Bwanga-Moke Bwasenge Bweka Bwendaki Bwongama Chenal Malapo Chute Maiwangu Dage Damako Damia Dandu Dangu Dapere De Dekon Demia Denga Dengesele Diebo Dika Diobo Diobo-Ngale Djembe Djongo Dondo Donga Dongo-Moke Du Dua Duiapo Dunga Ebambe Ebana Ebata Ebenze Ebola Ebonge Ebongo Ebundeko Edibaebe Edungu Ekabe Ekabi Ekala Ekame Ekwa Epalata Epale Epasa Epei Epesa-Abali Epesa-Likele Erenge Etebe Etedi Etedika Etepo Etolo Etopi Evo Eyeni Eyole Gaki Gakwo Gale Gazamba Gbakara Gbandele Gbati Gbawaka Gberenze Gbo Gbola Gbosasa Gbo-Sasa Gboto Gelema Gibi Gigi Gigila Gilingu Go Gomako Gombediko Gongo Gua Gubemi Gujombo Gumba Gumba-Bondia Gumbala Gumbali Gundji Gungandji Gurangu Gwaka Gwambele Gwandabula Gwanga Gwele-Banza Gwele-Bonga Gweledje Gwele-Gombe Gwenzale Gwesele Gwi Ida Ikasela Ikesani Ila Île Elima Ile Esele Ile Esoyo Ile Esumba Itema Iwa Kaba Kada Kaka Kakola Kalango Kalipande Kambe Kangalanga Kani Kaniabonda Karawa Katara Kaw Kendjole Kengwede Keya Kogbanga Koko Kole Kombe Kombolo Kondongo Kongba Kongbanga Koro Kpokota Kpoyanga Kpwolo Kuku Kulupate Kuma Kumba Kumbele Kutu Kwado Kwawa Kwokoro Kwokota Labi Langalanga Lanowane Lengo Lepo Liango Libala Libandi Libangi Libango Libanza Libeanu Liboko Libombo Libombo-Mai Libondje Libwa Ligana Ligubu Likalama Likali Likame Likana Likasa Likimi Likimi-Moke Likombo Likwakodo Lilangi Limamolo Limba Limbali Limbemba Lindia Lindombo Lingendji Lingongo Lingu Lipanga Lisaka Lisala Lisala Airport Lisonga Liwea Liwela Loko Loma Lombo Losa Lugba Lumba Lumu Mabela Mabia Mabolode Mabongo Madjagala Madjalanga Madjigala Madjongo Magala Première Magombe Makabe Makaw Makendenge Makomu Makpo Makumu Makwa Makwakwa Makwolo Mala Maliba Malukamambenga Maluku Maluma Malundja Mambabu Mambaku Mambandsa Mambelembele Mandjeka Mangala Deuxième Mangi Mangole Mangwande Manzemba Mapange Mapeke Mapindo Mapumba Masa Masade Masanga Masapo Masene Masengi Masika Masonsba Matoko Mbala Mbale Mbangi Mbe Mbelo Mbenga Mbengia Mbero Mbesa Mbeti Mbitiva Mbobo Mbokutu Mbole Mbona Mesali Meto Midi Mika Mimbo Mindu Mitoko Mobendeli Mobiti Modjengo Modjongani Mogbeto Mogbonga Mokabi Mokene Mokiri Mokokopela Mokuma Mokumbano Molanda Molebe Molemba Molendo Molima Molimba Molonda Molondo Mombanga Mombangi Mombanza Mombia Mombilanga Mombilo-Lipembe Mombindu Mombito-Ndjoku Mombombo Mombombo Deuxième Mombongo Mombule Mombwa Mombwala Momoi Momole Momongo Mondaba Mondenda Mondingiri Mondjelenge-Mai Mondo Mondoi Mondombe Mondonga Mondongo Mondulu Mondunga Mondzongele Mondzuambi Mongai Mongandju Mongili-Nzinga Mongiri Mongiri Deuxième Mongolo Mongombo-Moke Mongombo-Ngale Mongonde Mongupa Mongwa Mongwengwe Moniele Monzambe Monzelenge Mopala Mopesa Mopimbwa Moseka Motili Motima Motua Motuale Movangosa Movenda Mpese-Batu Mudjumbuli Muga Musima Naki Ndeke-Epate Ndeke-Ndombe Ndjembe Nduka Nduku Ngale Ngale-Guga Ngale-Wale Ngomba Ngonda Ngongo Ngongwali Ngoroyamindi Ngosapa Ngulubu Ngumu Ngungalu Ngusombo Ngwakade Nono Nyele Okongo Ola-Gboda Onga Orongu Ozeze Pale Pambe Pande Pandu Panza Papemwani Paw Peke Pile Pimu Poko Pomboi Popolo Pua Pwasoro Sambo Sanza Sapa Sasa Sekpwe Sembe Sembi Senge Singapo Solele Sombolo Songa Sumbu Suranda Tabala Tai Taliba Tamba Tete Tondoko Tumbanza Tundu Tunduma Umangi Upoto Vele Vindere Vobora Vunde Wangi Wodju Wolo Yalikuzu Yalosemba Yamakolo Yamatombi Yambangia Yambangia Deuxième Yambinga Yambisu Yambomi Yambwa Yanga-Gekai Yanga-Leka Yangbondu Yangonde Yangonzi Yangwate Yanono Yape Yatela Yembugaga Yengolu Yetongo Yowa Yuwa Zabola Zai Zake Zambe Zanzakunda Zezo Zoa Zonigia Abaye Abia Abiembi Abyalose Agoha Albert Alohu Aloi Aloia Alunguou Amatapi Antibangope Atonza Baie de Nya Lukemba Bakuba Balahu Balambi Balatu Balema Balonge Bambi Bambo Bankota Baruti Basibila Bataillon Bendera Beni Beni Territory Beni-Mavivi Airport Berida Besarabwe Biaboye Biahutu Biala Biambwe Biango Bibama Troisième Bibatama Bibatama Deuxième Bibatama Première Biengate Bihiro Bikaniro Bikara Bilindi Bilingiri Biluma Bilundule Bindano Bindingwé Bingo Binsha Binza Biokobe Birambizo Birawa Biriba Biriko Birsambi Birutu Bishanga Bishongera Bishusha Biso Bitongo Bobandana Boga Bogabo Bohano Boikene Bolua Bona Bonga Bongia Borengo Bovata Boyangwa Brendi Bugado Bugamba Bugani Bugarula Bugayo Bugaza Bugembwe Buguli Buhandahanda Buhimba Buhole Buhuga Buhumba Bukavu Bukavu Kavumu Airport Bukiri Bukokoma Bukombo Bukula Bukumbi Bukumbiri Bukutsha Bulahu Bulambo Bulenga Bulera Bulima Bulimba Bulonga Buluhe Bululu Buma Bumai Bumbi Buna Buna II Bunangana Bungulu Buniole Bunyakiri Bunyuka Bunzi Burai Burora Burungu Busagiri Busangara Busega Busenene Buseregenya Buseru Busese Busha Bushendo Bushushu Busiangwa Busisimula Busoko Busurungi Butahu Butakali Butambo Butembo Butongu Butorangwe Butshakwana Butuhe Butusande Buzibu Buzingo Bweremane Bweza Bwindi Bwino Byangola Byokobe Cantine Cap Tshanye Catholic University of Graben Charité Maternelle Chengerero Chieshire Chikomo Chutes Chutes Kulunda Colline Mumumba Colline Mutete Dakirusa Dalaga Dandi Daraza Dima Djalelé Djelube Djiapanda Djobula Djololo Djuma Dorumo Duge Duroxé Dutu Elangira Elua Emin Glacier Eohe Eringite Etobe Fuku Fungula Gandjo Gawa Gishio Gitovu Glacier Hut Goigoi Goma Goma International Airport Gomali Guafe Gungu Habula Hangi Haute Biaboye Hembe-Bitale Hombo Home Hongo Hoysha Hululu Hyosha Ibanda Primary School Ibigwesha Idjwi Idjwi Island Igalika Igoto Ihombo Ihula Ihunga Ihusi Ikombo Ikundu Ilambula Île Dagambwa Île Idjwi Île Iko Île Kabanga Île Kinyabalanga Île Mufumba Île Mukonde Île Mutuza Île Shushu Île Tshime Île Tshofu Indiata Indrai Inkokwe Intutuma Irangira Irimba Irunga Isango Ishungu Isolu Itsiba Itua Ivi Jomba Kabale Kabanga Kabaraza Kabare Kabase Kabasha Kabasinze Kabati Kabatwa Kabaya Kabiabo Kabialoka Kabindi Kabione Kabira Kabiro Kabonga Kabushu Kabusinde Kadjedje Kagadi Muslim Primary School Kagara Kahakaviro Kahasero Kahe Kahimbwa Kahindi Kahojo Kahongera Kahundu Kahunga Kahungu Kaja Kajuju Kakalari Kakara Kakloma Kako Kakola Kakondo Kakoro Kakungwe Kalambahiro Kalambairo Kalambi Kalangala Kalehe Kalemi Kalenga Kalengehya Kalengera Kalevia Kalibangari Kaliberio Kalibi Kalimba Kalingote Kalonge Kaluanga Kalulua Kalungu Kamai Kamakombe Kamaneapasa Kamango Kamatsi Kambatula Kambohoro Kamira Kamtabulu Kamuhole Kamukahere Kanga Kangati Kaniamahole Kaniangako Kaniapinga Kanonzi Kanuno Kanura Kanyama Kanyamondo Kanzenze Kanzoka Kaonge Kaporalo Karali Karambi Karebero Karibumba Karuba Karurume Kasake Kasero Kashari Kashebere Kasheke Kashewe Kashofu Kashusha Kasindi Kasinga Kasingo Kasone Kasone Kimule Kasuku Katagara Katale Katalio Katana Katanda Katangiro Kateko Katemba Katero Katibombo Katimba Katiri Katoba Katobo Katoke Katole Katonda Katshiri Katugonda Katuhunda Katwa Katwe Kavumu Kawa Kayangiro Kayanguta Kazinga Kekeni Keoga Keshero Kiabafu Kiabitale Kialala Kialamahindi Kiandonde Kiangitsi Kiavaranga Kiavikere Kiavitondo Kibabi Kibakari Kibati Kibeshero Kibindi Kibira Kibiziki Kibumba Kidumbi Kieru Base North Kieru Base South Kiguri Kihaha Kihindo Kihoma Kihondo Kihuhuta Kikindo Kikingi Kikio Kikoma Kikuku Kikuningulwa Kikura Kilambo Kilembo Kilia Kilime Kiluluma Kimanga Kimba Kimbulu Kimoha Kimoho Kimoka Kinene Kingi Kiniamboboré Kiniasi-Matanda Kinigi Kinyamahura Kinyezire Kinzamba Kinzedebu Kiondo Kipese Kirago Kirambo Kirema Kiriba Kirima Kirirye Kirivata Kirotshe Kirotshi Kirumba Kirumbu Kirungu Kisalate Kisanga Kisangeli Kisegeta Kiseguru Kiseke Kisenge Kishanga Kishenyi Kisiki Kisikivi Kisikiwi Kisima Kisomi Kisoro Kisungwe Kitahoha Kiteraga Kitobi Kitobo Kitotoma Kitsambiro Kitshanga Kitshuru Kituku Kitumbili Kitwa Kiuli Kiumba Kiutotoma Kivetia Kivira Kiviviri Kivungira Kiwanja Kiwuwe Kolokole Kololo Kolungutu Kombopa Kongo-Matanda Koni Konyobuhuhe Kosinga Koumiaru Kraepelin Kulunda Kuonga Kuya Kwankuku Kyalema Kyanzaba Kyondo Lac Balukila Lac Bita Lac du Speke Lac Kibunga Lac Kirwa Lac Kivu Lac Lukulu Lac Ndalaga Lac Ondo Lacs Mokoto Lailai Lake Edward Lalye Lamba Lambi Lamia Lamwé Lani Lauka Lemera Lenda Est Lenda Ouest Lepia Leua Libako Libana Libokora Libwamaru Lieu Dit Kilulima Limbahu Liniambo Lisasa Loamoa Loashi Lobwe Lodza Lohilo Lohito Lolya Lope Lote Loulo Loya Luahu Luamisole Luana Luandjofu Luandumbi Luangoma Lubafu Lubambaha Lubango Lubena Lubero Lubila Lubilia Tako Lubona Lubu Lueshe Lufafu Lufunge Luhihi Luho Luhonga Luhulu Luhunga Lui Luibo Luindi Lukalia Lukalie Lukanga Lukayo Lukweti Lula Lumboko Lume Lumeli Luna Lungoma Luotu Lupaya Lusamambo Lusembe Lushangi Lushasha Lushebere Lushekere Lushoa Lusilube Lusilubi Lusirandaka Lusuko Lutakira Lutiba Lutoboho Lutungulu Luvévé Luwate Luwere Luzira Luzirandaka Lwama Lwana Lwaruba Lweza Lwiro Mabalako Mabangwa Mabenga Maboya Mabuku Mabungu Maga Mageria Maginda Mahamba Mahangi Mahondo Mahungu Mahuvaro Mai ya Kwenda Mai ya Lopui Mai ya Moto Maie Maipi Maitana-Buliba Majibu Makalabo Makalele Makayoko Makelele Makeleme Makengere Makoka Makomaiye Makombi Makuga Makunga Makungulano Makungwe Makuta Makwambungo Makwasori Makwe Malangay Malehe Malene Malengera Malepe Malese Malia-Bwana Malibongo Malibotu Malinde Malingongo Malio Malisongo Malolyo Malondo Maluene Malulu Mamantato Mambabwanga Mambadikoma Mambake Mambale Mambango Mambasa Mambingi Centre Mambolo Mampagani Mamuli Mamvu Manduli Mangada Mangango Mangasi Mangbomba Mangodomu I Mangodomu II Mangolikene Mangoya Manguaki Manguredjipa Maniema Mankawa Mantetuba Manyuba Manzamba Mapata Maperanga Mapo Maponda Margherita Peak Masahi Masambo Masengi Masereke Masha Mashenge Mashumbi Masisi Masisi Territory Maso Masokaseke Massif du Ruwenzori Masumo Mataba Matadi Matanda Matete Matiba Matoho Matoi Matoto Matshumbi Matumba Matuna Maturi Matyaso Mavivi Mavivi-Matembo Mawili Maya Mayi Mayuwano May-Ya-Moto Mbarata Mbata Mbati Mbau Mbaya Mbayo Mbitali Mbolu Mboso Mbua Mbumbi Mbunia Mbunje Meboada Meku Mera Meshu Mesopsota Mianga Miango Miese Mifuti Migeriga Mihanda Mihanga Mihombia Mikeno Sector of the Virunga National Park Mikonzi Mikuka Mikweti Milinde Mindi Mindjendje Mingazi Mini Minova Mirirage Miromba Mirombo Mirunga Misao Misingile Misisené Misoke Misoko Misrage Misuho Mitembe Miti Mitwa Mitwa Deuxième Moambo Mobimbi Mobisio Mohemba Moheta Mohima Mokata Mokeli Mokotos Molende Molingilana Molingolinga Moliobo Molongona Mongaha Mongo Monguda Monigi Monoma Mont Aliote Mont Atonza Mont Biega Mont Bilinga Mont Bitita Mont Bitoi Mont Boleko Mont Buliesene Mont Buya Mont Dibuo Mont Hehu Mont Hindu Mont Home Mont Hoyo Mont Ishunga Mont Kahasa Mont Kalingole Mont Karungu Mont Katale Mont Katse Mont Kialamahindi Mont Kiandale Mont Kimoba Mont Kiowe Mont Kitembe Mont Kiumu Mont Kiuto Mont Lubwe Mont Luitsa Mont Mabosido Mont Matundo Mont Mavale Mont Mbuni Mont Mioto Mont Misenga Mont Mohanga Mont Mokondone Mont Molubo Mont Mukili Mont Mumole Mont Murundu Mont Musenga Mont Musenge Mont Musiwamezu Mont Muteni Mont Mutsendaro Mont Pakimwendo Mont Palirongoli Mont Piso Mont Poruo Mont Stanley Mont Thamagata Mont Tshahoma Mont Tshangu Mont Twero Moronsoro Kiani Mosegeriza Mosembo Mosenda Mosokondo Mososa Motete Motokolea Mount Emin Mount Speke Moya Manga Mpunga Muahaleka Mudaka Mugando Mugende Mugeri Mugote Muhanga Muhayirwa Muhindo Muhuma Muhungya Mujotuba Mukaga Mukaka Mukama Mukambo Mukatano Mukeke Mukiki Mukingo Muko Mukoka Mukota Mukuhe Mukula Mukulia Mukumbwa Mukushu Mukutu Mukwinja Mulangani Mulikambura Mulinga Muliri Mulo Mulo Sainte-Thérèse Mulonge Mulopia Mululu Mulumbi Mulungu Mulungusiti Mumba Mumbembi Mumo Mumpa Mumuangotu Mumunze Munyambelu Muomo Murahia Muramba Murambi Murango Murumba Musasa Musenge Mushamangabo Mushuva Mushweswe Musienene Musimbilia Mutabo Mutanda Mutera Mutere Mutesa Mutobo Mutongo Mutsa Mutsanga Mutsora Mutumoja Mutungirwa Muturi Mutushi Mutwa Mutwanga Mwambarino Mwamvula Mwanda Mwenda Mweso Mwigali Mwiki Nabura Nakone Nanda Naombia Nati Ndalaga Ndeko Ndoluma Ndosho Ngadi Ngeleza Ngembe Ngenge Ngesho Ngiko Ngingwe Ngite Ngitse Ngoi Ngololo Ngoma Ngura Nguva Niakabasha Niamalere Niamimba Nkubi Noama Nobo Ntamunyunyu Nteko Ntoto Ntoyo Numbi Nyabakere Nyabihanda Nyabiondo Nyabitekere Nyabondo Nyabukere Nyadungura Nyahonga Nyakalengwa Nyakariba Nyaleke Nyalikwa Nyalipe Nyaluhondo Nya-Lukemba Nyamakana Nyamakinga Nyamasasa Nyambasha Nyamukubi Nyamulonga Nyamunene Nyangaleka Nyange Nyanza Nyarubara Nyarukwangara Nyarusambo Nyawarongo Nyegere Nyirangongo Nyuragera Nzenga Nzulo Oicha Olcha Ombole Ondo Oso Otobora Otsha Oye Ozila Pabuka Paida Palais de Justice Pandekali Papi Pasisi Pebohe Peti Pinga Plantation Itsulu Plantation Niongera Puemba Ragesti Rambo Remeka Riviro Riwanoli Roccati Pass Ruabero Ruandumbi Ruanguba Ruanoli Ruasa Rubare Rubona Ruehe Ruembu Rugari Rugetsi Rughenda Airport Rumangabo Runigi Rushengo Rushura Rutoke Rutshuru Rutshuru Territory Ruwenzori Ruwenzori Deuxième Rwanguba Rwese Rwindi Sabani Sabinio Sabuni Saha Saho Saint Gustave Saint-Gustave Sake Shangungu Shasha Shekatiti Shekinene Shifuma Shigiko Shigoma Shungo Sia Sikwakira Siliwa Sinda Sindani Sintama Sisa Sisumba Sitwahira Soa Stshombo Stuhlmann Pass Sud Luhule Sununu Supa Tabi Taiya Tako Talia Talia Ndogo Talia Ndumba Talia Sud Talya Talyu Tandalukara Tano Tase Tembe Tia Tienamo Tima Tingba Tobie Tongres-Sainte-Marie Toto Tremba Tshabi Tshabondo Tshabunda Tshamaka Tshanzu Tshengere Tsheya Tshibati Tshibinda Tshibira Tshigoma Tshikondi Tshubi Tumbula Tunda Tungudu Tungula Tungutwasa Tusunguti Uluke Umberto Université Catholique de Bukavu Urwo Vayana Venamba Viakuno Vieux Beni Visiki Visongo Volcan Karibumba Volcan Mikeno Volcan Nyamulagira Volcan Nyiragongo Volcan Rumoka Volcan Visoke Vuhativo Vuhombwe Vuhovi Vuhoyi Vukoka Vurondo Vusa Vutetse Vutondi Vuyoage Waga Walewe Waloli Wandolo Watalinga Wimbi Wobo Wuhevi Wyangamba Yama Yuangah Zacharia Zunguluka Lubumbashi Bafeke Bakaala Bakanga Bakele Bakelenge Bakenda Bakoyo Balise Balumbe Bamania Bamba Bandaka Bandaka Inkole Banfui Banza Banza-Moke Baolongo Batsina Beala Beambo Bebingu Befale Bekai Bekalo Beke Beke-Balumbe Beke-Bokala Bekolongo Belemba Bemba Bembaku Bembambo Bempaka Bengi Benkwese Bensenge Biangala Bikoro Bindja Boalangombe Boangi Boati Bobanda Bobangi Bobele Bobole Bofale Bofidji Bofidji Est Bofidji Ouest Bokaka Bokakia Bokala Bokamba Bokanga Bokatola Bokenge Bokeniola Bokitaka Bokodji Bokombo Bokonda-Watuli Bokongo Bokonkuma Bokuku Bokuma Bokwango Bolaka Bolangwa Bolenge Bolikwakedji Bolima Bolingo Boloko Bolokwasamba Bolombo Bolombo-Ikengo Bolongwankoie Boluki Bolumbu Bombembe Bombindju Bombwanza Bomenenge Bompama Bonangola Bondo Bongala Bongale-Wotolo Bongamba Bonganzu Bongata Bongidji Bongidji Mpika Bongidji Samba Bongo Bongoie Bongonde Bongoto Bonguma Bongwande Bonkele Bonongo Bonsole Boombe Boongo Bosango Boso-Asuka Boso-Bangeli Boso-Bwene Boso-Dandua Boso-Deni Boso-Ituku Boso-Kata Bosombe Boso-Mboloko Bosombwakongo Boso-Mondonga Bosongo Boso-Pandjaka Boso-Sua Bosuadongo Bosukela Bosumbe Botale Boteko Botenge Botoma Botondo Botongo Botutu Boulama Bowele Boyeka Boyela Boyenge Boyera Boyolo Bulama Busira Bute Buya Troisième Buya-Ekole Deuxième Buya-Ekole Première Bwati Chenal d’Ibenga Chenal Sesele Danda Dibeke Disciples du Christ au Congo Mission Djemba Djidongo Djiduku Djipake Djoa Djonori Djundu Djwele Dote Dwaka Eala Eala Botanical Garden Ebila Ebudji Ekata Ekele Ekombe Ekongo Ekukola Elambasa Elanga Elanga-Limono Elinga Embele Engundu Equateur Esanga Esangelenkoi Etontale Etontale-Batua Etoo Felela Gamba Giri Gombe Gumu Gundu Ibeke-Bioko Ibenga Ibundji Ifambu Ifomi Ikabu Ikakema Ikalaki Ikalangania Ikedjikombe Ikelemba Ikendze Ikenge Ikengelake Ikengo Ikoko-Bonginde Ikoko-Ipenge Ikoli Ikondji Ikongowasa Ikwa Ilambasa Ilanga Deuxième Ilanga Première Ilanga Troisième Ilangakondji Ilangela Ile Balimbo Ile Bonguma Ile Bukongo Ile Ilata Ile Kale Kale Ile Londo Ile Maita Ile Mandjaku Ile Mangula Ile Mapubili Ile Mikongo Ile Minkole Ile Misemba Ile Mokombe Ile Mombeke Ile Nkasa Ile Sambala Ile Sondji Ile Welele Ilema Ilumbe Indjiolo Indjolo Inganda Ingende Ingonge Inkekete Intaka Ipeko Irebu Isambi Iseankoi Isefete Isenge Isia Isodji Isokofumi Isondongo Isukaenanga Itotela Ituta Kabinda Kalamba Kokongo Kombi Kombo Konga Kulangu l’Institut National pour l’Etude Agronomique au Congo Lac Ntomba Lac Paku Lafalaka Landa Langalanga Latakemela Libeke Libenga Libindja Libinza Libundu Lifumba Likala Lilanga Liombo Lisoko Lite Indigene Litumba-Djololo Lobolo Lobolo-Iteli Lofemba Lofosola Loka Lokale Lokekia Lokendu Lokolama Lokolokamba Lokongo Lokuku Lola Lolifa Lolima Longa Longa-Moke Loolo Ekoto Loposo Losa Losasafa Luaki Luete Lulonga Lulungu Mabundji Mamoko Manga Mbandaka Mbandaka Airport Mbeye-Monene Mboto Mbuli Menkole Misongo Mobako Mobena Moheli Momboyo Mompanga Mongondo Mongonzi Monia Monzambi Monzanga Mooto Mosombe Mosombengende Motofe Motonga Motwa Mpeka Mpela Mpete Mpoma Mpotia Ngange Ngelo Ngeromonjoie Ngilazilo Ngiri Reserve Ngolo Ngoolo Nkasa Nkeke Nkota Nkuma Nyange Paku Pandza Penda Penzele Poka Pombo Pongo Poto Province de l’Équateur Ruki Samba Sasi Somo Songo Terre de Bolomba Tondo Tumba Ville de Mbandaka Wafe Wala Wangaka Wángangole Wangata Wangata-Watsiko Wasólefendu Wele Wele-Bolenge Wele-Bombomba Wemba Wendji Yanda Yeke Yele Yembe-Moke Yembe-Munene Yengenge Yonda Zoba A.V.P. Ndolo Adidiema Akaya Akoka Akungula Akunvula Angandu Aseki Ashu Asomelo Asuku Ba Baka Bala Banda Kombe Bena-Dibele Bende Beni-Dibele Airport Biekumbu Bomboie Boo Budi Diaki Dikanda Dikanda-Kapula Dikandakate Dike Dikfudambudi Dimoye Dinandji Disolo Diwoko Djamu Djani Djeka Djelo Djembe Djiata Djidji Djimpele Djinda Djovu Djumi Djunga Djungaluma Djunga-Lunga Dongo Doo Efunda Efunga Ehandjula Ekandashimbi Ekansa Ekomi Elamba Elenge Elonge Enioko Epombo Epombo Lapa Epombo Okula Esambi Esambo Esambo Ehekele Esambo Liwondjo Eshembe ET Soldats Etenesha Fundji Ganda Gembe Gengwa Gombe Gongo Gongo-Piete Hiaka Hianga Ibaka Ifutuma Ihambi Ihango Ikongo Ikundju Ileko Imbalela Indanga Ipeko Ishenga Owala Iwadi Iwala Kabete Kalema Kalonda Kandolo Kanga Seke Kavu Kelalulu Kema Kemba Kembi Kengete Kifumu Kingete Kodi Koditshale Koie Koiekoie Kombe-Kombe Kombe-Oswe Kombeswe Komi Konde Kondo-Djoso Kongaloandje Kongambulu Kotamine Koto Kulumbi Kumba Kumedjonge Kundu Kunstshankoie Kutu-Sango Kutu-Songo Lala Landa Lapa Lemba Loanani Lodi Lodja Lodja Airport Lohaie Lohemba Lole Lolekandjovu Lolekunda Lomami Lome Longanga Longangua Longangwa Longendangondo Longombi Longonia Looto Losania Losengedi Loteta Lowale Lubefu Ludja Ludja-bianche Ludjima Lufuela Lufuka Deuxième Lufuka Première Lufwa Kongolo Luhuma Lukamana Lukamba Lukangaka Lukangi Lukavukavu Lukeni Lukfuke Lukuhu Lukula Lukumbu Lumaie Lumidi Lumpeto Lungania-Okako Lungila Lungulu Lunia Lunie Lusale Lusa-Majeke Lusavula Luseke Lusha Lushima Lutahe Lutanga Luvio Luvuku Makulu Malela Mende Mile Mombu Mpama Mudimbi Mukumari Mulenda Mundjamumba Muntu Moshi Mutambwe Ndeke Niamaluhu Niemo Numba-Kungu Numbelufuku Odiambanga Odiko-Alanga Ofumbu Okale Okamu Okangakoie Okanga-Mbala Okela Okitadikete Okitadjale Okitahoka Okitakula Okita-Luhunga Okita-Tenga Okodiakoko-Odika Okoka Okokaniombe Okoka-Niumbi Okolo Okonga Djovu Okongolushi Okotanema Okuma Okumi Olandji Oleko Olembia Olenga Olomo Omalukuna Omaluseke Omaniundu Omayetsha Ombedi Omedjadi Omedji Omeduye Omehele Omekenge Omelukamba Ome-Lukamba I Omende Omendjadi Omeonga Omondjo Ompangu Kumba Ona-Dikonso Ondjo Onema Onema Lutabe Onema Taka Onema-Denga Onemalole Onema-Yandju Oniumbi Opoko Oseka Osenge Oswe Otanga Otokodi Otutu Owele Owende Oyanga Oyokenie Oyumba Pakima Panga Pangu Deuxième Pania Ututu Pelu Petshi-Utshimu Poie Pombi-Kakese Pungu Odima Pungu-Djuki Putu Sadiboko Sandjula-Wema Sangadjale Shadi Shaie Shandjula Shangadjale Shankanda Shele Shesa Shilushilu Shopo Shungulunga Shutsha Tusanga Shuwe Soko Songo-Buyu Takiri Tangambuka Teke Tokete Tokosa Tonkelo Topeko Tshiondo Tshumu Tuku Tukumbi Tumba Ububu Ugundu Ukfungu Ukulungu Ukundula Ukungu Ukutu Ulunga Ulungutumbi Unanu Uniumbi Ushisha Usniwo Utshudi Ututu Uvungu Vangakete Wadji Wandjale Wania Welo Wemalemale Wemalemale Première Wembo-Niama Wendje Wenge Wetshu-Mahombo Wilanga Wimbo Woka Wungu Wusanga Yaka Yani Yeka Yengela Yimbo Babangwa Bibemba Bideka Bifubuza Bihinda-Butambala Bilembo Biliba Bilole Biluluma Bingonde Birhala Bisembe Bishaka Bizinzo Bonga Budjenge Budodo Bugobe Bugoi Buhogo Bukavu Bukenze Bulindwe Bulonge Bulungu Bungalama Burhale Busaba Busha Bushuju Bushwira Busulira Butaho Butezi Butumba Butwasenge Buziba Bwegera Camp Makalapongo Daheba Dembe Dingbwa Dukumwami Dunda Fendula Gombe Gwalanga Gweshe Hogola Hongero Idunga Iganda Ihamba Ihembe Ikoma Impwe Irabata Irega Iregabatonyi Irumvu Iseke Isingo Itara Itengia Itula-Shibamba Itutu Izege Kabare Kabilomba Kabilu Kabugi Kabuka Kabunambo Kabuya Kadubu Kadutu Kagaragara Kagogo Kahanda Kahololo Kaholwa Kahungwe Kakamba Kakanda Kakwende Kalama Kalambi Kalambo Kalami Kalika Kalimba Kalingi Kalugwe Kalundu Kalungwe Kamania Kamanyola Kamishimbi Kamisimbi Kamitonko Kamituga Kamoto Kananga Kanenge Kanga Kangele Kangwere Kanigo Kankisingi Kanoso Kanunge Kanvola Kaololo Karambi Karenzu Karhundu Karunyamba Karwabulanga Kasaba Kasaluka Kashangwe Kashen Kashoka Kashongerwe Kashukwe Kasika Kasilu Kasimba Kasoki Katala Katekama Katembo Katinda Katona Kavubano Kawasha Kawezi Kazinzi Kazunguzibwa Kele Kiaselela Kibasiro Kibonda Kibumba Kifuko Kigarama Kigogo Kigoma Kigurwe Kigwema-Kibungu Kihande Kilbore Kiliba Kiliungu Kilungutwe Kimbili Kimuka Kingulube Kingwengwe Kiringye Kiruli Kisa Kishengo Kishombo Kisozi Kisubi Kitasi Kitembe Kitija Kitoga Kitongo Kitumba Kitundu Kitwabaluzi Kubeba Kuha Kumungede Kwendajulu Kyanunda Kyugama Lac Lungwe Lac Mwaba Langala Lemera Luaraki Lubanda Lubarika Lubemba Luberizi Lubimbe Lubimbi Lubiolo Lubona Lubumba Luburule Lugwaja Lujimbo Luka Lukele Lukige Lukumbo Lulimbokwe Lungulu Lungutu Lushandju Lushibuka Lushiga Lushima Lushwege Lutandara Luvimvi Luvubu Luvungi Luzinzi Luzulika Lwega Mabe Maberagule Mabu Magandja Mahungubwe Makalapongo Makombo Mampulia Manduku Masango Mashuba Matale Mateo Maungu Maya Moto Maya-Moto Mazimini Mbogwe Membo Mikamba Miki Mirira Mitala Mitanda Monana Monganga Mont Bienga Mont Bukubwendale Mont Goma Mont Kakuzi Mont Kamalangule Mont Kawewe Mont Mohi Mont Mushive Mudubwe Mufwa Mugaba Mugaja Mughera Muguri Muhinga Mulalua Mulamba Mule Muleka Mulenge Mulima Mumusho Munanira Munda Mundio Mungombe Munyove Murunga Musage Musanze Musenga Musenyi Mushege Musheke Musheni Mushesereza Mushinga Mushweshwe Musondjo Mususu Mutarule Mutega Mutombwe Mutundwa Mwana Mwangati Mwembese Mwenga Mwitwa Namasusa Namijembo Namombi Nandjale Ndegu Ndolera Ndolere Nduba Neriminege Nezemere Ngalie Ngandu Ngenda Ngolombe Ngombo Ngusa Niabongo Niakisa Nitala Ntondo Numbi Nya Gezi Nyabale Nyabantu Nyabutiri Nyagezi Nyakabere Nyakadudula Nyakaziba Nyakilembe Nyakogobe Nyamanga Nyamarege Nyambungye Nyamukangiza Nyamunindi Nyaruvumu Nyatutwa Nzibira Nzokwe Nzombe Panzi Panzi Hospital Parc National de Kahuzi-Biega Penemunkina Petite Musondjo Rambo-Buniakiri Région du Kivu Rubanga Rugenge Ruhuma Rukangaka Rukobero Rumonge Runingo Rurambo Rusabagi Ruseko Rusimbana Rutemba Ruvumera Saint Joseph Saint-Joseph Samo Sange Sasa Senge Shahi Shaminunu Shandoma Shitula Sisi Soli South Kivu Tema Tribunai Tshabarabi Tshamfu Tshibangu Tshibeke Tshibiria Tshidako Tshifunzi Tshoka Tshondo Tshopo Tubimbi Tubindi Tundu Tunonia Tutanga Ulindi Uvira Walungu Wangoye Wolaneki Ysezia Zalya Yanga-Libenge Amishi Baie de Maganze Basukwa Beji Biamba Biteba Bitupu Bombe Bondo Bondwe Bugumba Builumbwe Bulambwe Bulumba Busongo Busukwa Buyambombo Camp Kiba Cap Kilindi Cap Mulonga Colotabac Concession Butaye Concession de Wauters Concession Hins Concession Humblet Concession Van Asch Concession Van Marcke-Hilone Concession Vermeersch Frères Dainga Daladibwe Dalango Denda Diala Diaya Dibanda Dibwe Goma Die Dilambala Dilondo Dilundu Dima-Dima Dino Diumbi Djindjia Djinga Donga Dulwe Fataki Fatuma Fuma-Fuma Fundi Fungo Futu Gande Gaya Gendenge Genge Gilaye Goi-Goi Goi-Luye Goi-Mwane Gulube Hamba Hoshi Île Kavala Île Kibishie Imba Kababa Kabaga Kabale Kabalunga Kabamba Kabambi Kabanga Kabanga Makinga Kabangandu Kabavangu Kabeke Kabianda Kabikele Kabikere Kabikusa Kabikwa Kabilundu Kabimba Kabinda Kabindi Kabisha Kabitongo Kabiula Kabo Kabobo Kabo-Kabo Kaboka-Mosamwila Kabole Kabombwa-Bulanda Kabondoi Kabudinda Kabuji Kabulinda Kabulo Kabulua Kabulungu Kabumba Kabunda Kabuyu Kabwala Kabwe-Kanono Kabwe-Katanda Kabwema Kadalamilomba Kadiatabuse Kadimba Kadindje Kaditshi Kaenya Kafindo Luluane Kafuifui Kafumbwe Kafunga Goi Kafushi Kafutwe Kafwamibi Kafwe Kagunguje Kahanda Kahaya Kahende Kahese Kahia Kahimbongo Kahompwa Kahundu Kai Kaimana Kaimbi Kaji Kajonga Kaka Kakase Kakaso Kakelui Kakibamba Kakinde Kakinduye Kakinga Kako Kakonda Kakoyolo Kakubunze Kakuni Kakuru Kala Kalai Kalala Kalamb Kanzeng Kalamb Mukand Kalamba Kalamba-Kamule Kalanshi Kale Kalela Kalema Kalemba Kalemie Kalemie Airport Kalemie Ville Kalenga Ntanda Kali Kalinga Kalombo Kalombwe Kalonda Kalondo Kalongai Kalonga-Mwamba Kalongo Kalongwana Kaluana Kalubwata Kaluhembwe Kalukenie Kalumbi Kalumbu Kalumpanda Kalundwe Kalunga Kalungui Kaluwe Kamabamba Kamafuka Kamakala Kamakanda Kamakonde Kamaku Kamakubi Kamakuibu Kamakunji Kamalaba Kamalenge Kamalondo Kamalonga Kamanda Kamange Kamanongo Kamaseke Kamashia Kamatimati Kamatobwale Kamawa Kamawi Kamayangale Kamba Kambaj Kambakamedji Kambale-Sona Kambamba Kambanga Kambi Kambiko Kambi-ya-Wima Kambufu Kamena Kamidimu Kamigilu Kamikia Kamikoko Kamikungo Kamilemba Kamilembe Kamilonga Kaminenga Kamisa Kamisambe Kamisangi Kamise Kamisenge Kamishipa Kamisoko Kamitenda Kamitoka Kamivula Kamoha Kampamba Kampanga Kampemba Kampese Kampunda Kampunga Kamswanya Kamukelo Kamukondolo Kamulanga Kamulindwa Kamulombo Kamusamba Kamusanga Kamuseka Kamuseke Kamusesembwe Kamutamba Kamutombo Kamwana Kamwanisha Kamwila Kana Kanamboko Kananianza Kandjimba Kandua Kangai Kanganie Kangoi Kangulumuana Kangulungu Kanianga Kanioka Kankala Kankodi Kankomba Kanonge Kanonji Kantambe Kantutu Kanzinie Kapako Kapandai Kapemba Kapete Kapimbi Kapolo Kapuagushyana Kasakasa Kasalo Kasamba Kasanga Kasanga Niemba Kasanganyi Kasangoi Kasania Kasanji Kasar Kasaweshi Kasefu Kasei Kaseke Kasengai Kasenga-Senga Kaseya Kashasomba Kashege Kashila Kashimba Kashishi Kasibui Kasieke Kasikisha Kasilu Kason Kumuna Kasongo Kasongo-Mukuli Kasonkomona Kasulu Kasumbwe Katabuka Kataki Katala Katamabwe Katambi Katambwe Katanda Katangala Katebeybei Kateka Katenta Katomba Katombolwe Katombwe Katotomeno Katoya Katshibinda Katumpi Katuta Katwa-Bilonda Kaufulu Kaunga Kavula Kavulavula Kawakana Kawisenji Kaya Kayaba Kayamba Kayele Kayembe Kayembe-Lengwe Kayembo Kayeye Kayofwe Kayofwe-Ka-Bankufu Kayomba Kaytepa Kazele Kazumba Kefumbwe Keilamboi Kela Kepepe Keza Kiabika Kiai Kiali Kiamatonda Kiata Kibamvu Kibesei Kibi Kibondobondo Kibumba Kidianga Kidilanga Kidimba Kidindje Kiemema Kihase Kihata Kihidi Kihindji Kihonza Kikale Kikonge Kikumbu Kikunda Kilashi Kilasi Kilima Kilingili Kilomètre 210 Kilomètre 230 Kilonge Kilubu Kilui Kilumbi Kimabwe Kimanda Kimbi Bisongo Kimigi Kimilolo Kimpanga Kindele Kindfange Kinduluye Kinemembuye Kinkala Kinkenko Kinkurube Kinonga Kiske Kiofwe Kioko Kioko Niumba Kioko-Katumba Kipese Kisambasamba Kisandji Kisangu Kisenga Kisengai Kishilaba Kishinde Kisi Kisimba Kisoko Kisono Kisoya Kisumbi Kita Kitamba Kitangwa Kituba Kituila Kitumbe Kitundu Kiumbi Kiwiba Kiyalo Kiyimbi Deuxième Kiyimbi Première Kiymbi Kokola Kolombi Komji Kongoi Kongolo Kongwa Kualai Kugnie Kuisaie Kumio Kunanwa Kunga Kungwe Kusaba Kyayo Lalenge Lambo Lambo Katenge Latamukena Ledia Lembe Lengo Leta Lokanda Lovoi Luaba Luabia Luabulai Luage Luake Luamatambo Luambashi Luambole Luamukinga Luamukuna Luango Luania Luania-Bubi Luaula Luba Lubaie Lubalwe Lubamba Lubambala Lubay Lubayo Lubazia Lubembu Lubila Lubilash Lubilaye Lubonga Lubumbu Lubunduye Lubunga Lubuye Ludimbi Luela Luenge Lueshi Lufukei Lufuko Lufukwe Lufumbisha Luga Lugafui Lugamba Luganda Lugogo Lugumba Lugungwa Lugweye Luibo Luilwa Luinaya Luisha Luishika Luishikila Luizu Lujidi Lukaia Lukalanga Lukalengwa Lukalue Lukangweshi Lukashi Lukaya Lukeji Lukembe Lukengo Lukindwe Lukombe Lukumbo Lukwaji Lumajiba Lumande Lumbeya Lumbi Lumbuka Lumbwe Lungambui Lunge Lungu Lunia Lunkaye Lunoshi Lunzabi Lupofu Lupona Lusanza Luseke Lutando Lutwaie Luwai Luwamba Luya Luyau Luyeo Luzabi Luzanga Lwanzeba Mabio Mabulanda Mafipa Mahila Makambe Makanza Makena Makene Makosa Malala Mama-Kasanga Maniamuna Manuemene Mapula Marisawa Masala Masibui Masombo Matafari Matamfakye Mato Matola Matongo Mauza Mbidi Mbubo Mbumba Miketo Mionga Misamba Mishindji Mitonge Mitubu Mitui Mode Moko Moma Mondoye Moni Mont Dzabua Mont Kahulu Biongo Mont Kaulugombe Monts Mitumba Monts Mugandja Monts Muhila Moya Mpala Mpola Muambo Mudia-Gulube Mudidie Mudjibu Mufungui Mufwa Mugalai Mugambo Jala Mugumba Muhala Muhe Tshianabadi Muine Nianga Muine-Songa Mujiba Mujibui Mujidi Mujilatshio Mujyay Mukala Mukaleji Mukangweji Mukato Mukeba Mukeleng Rumbu Mukema Mukenambo Mukoloi Mukomeshi Mukondo Mukora Mukuja Kawi Mukuliye Mukunduye Mukwekwe Mulai Mulamba Mulamboi Muleba Muleka Mulembwe Mulenda Mulenda Kazari Mulengeshi Mulengi Mulenguluye Mulengweji Mulofwa Mulolo Mulolwa-Kiluba Mulonge Mulongelui Muludi Muluila Mulula Mulumba-Tompa Mulwani Muma Mumbedi Mumbweji Mumvui Munanji Mundoi Mungambi Mungolongwe Mungulungwe Muninga-Kasojo Muntobwe Munuandjiba Munzali Murungwe Musaka Musaka-Tshikajie Musala Musamba Musangeshi Musasesha Musau Musebai Musebeye Musekei Musela Musele Musengai Musependai Mushibu Mukebo Mushindji Mushindu Musibuye Musindji Musoboi Musoboye Musui Musumene Muswaki Muteba Mutenga Mutombe Mutombo Mutombo-Mukulu Mutonda Mutoyo Mutshama Mutui Mutui-Lubilash Muvundu Muyambo Muyeba Muyembai Muyiai Muzebeye Muziaie Muzibui Mwabia Mwabwa Mwadi-Masangu Mwa-Kaniki Mwakatolo Mwalai Mwale Mwamba Mwamba-Luhonge Mwa-Mushindu Mwa-Muyombo Mwandj Mwanga Mwange Mwant Mamb Mwant Rukang Mwanza Mwasaie Mwatshipungu Mwawe Mwehu Mweleka Mwemae Mwene Kalambu Mwene-Bishi Mwene-Gaji Mwene-Kanda Mwene-Kasaza Mwene-Mulayi Mwenga Mwenge Mwenze Mweye Mwielele Mwila Mwin Musal Mwin Nkand Kalend Mwine-Kombo Mwin-Kand Mwishie Mwishindji Mwishindli Mwobe Nalemba Ndubula Ngandu Ngoi Ngoi-Mukolo Ngoi-Tambwe Ngombe Ngoye Ngulu Ngungu Ngwejambo Niemba Nkuha Nongo Numbiambono Nyanga Nyemba Nzela Oloi Ovua Owa Ozio Panda Panga Pange Pasai Pastorale Sainte Walburge Pelengangoi Pengweshi Petenene Pili Pishi Pola Pongoloko Port of Kalemie Pulukwa Pundu Rutuku Ruung Saihemba Saikulu Sainte Walburge Sainte Walburge Première Sakaj Sakamanda Sakutonga Salala Salambu Saluwu Samawito Samulemba Samutombo Sanana Sango Mutonshia Sangwa Sanu Sapa Saso Satomo Shimba Shingilwa Shishi Soko Sombui Songe Songe-Songe Songo-Gulungu Songo-Matumbi Station Kambi-ya-Wima Station Kilima Station Makala Station Tshipasa Station Zaila Sua Sua-Elvaluilu Sumba-Luwai Sumba-Tshiwaji Sumba-ya-Maibwe Swakala Tahibamba Tanganika Tekua Tembe Tembwe Tende Tendeshi Tenki Tituku Toloke Tshabankanda Tshabela Tshakala Tshamakurubu Tshameya Tshamukanza Tshanga Tshapemba Tshapembo Tshasu Tshawenge Tshiamibondo Tshiamionji Tshibala Tshibalanga Tshibamba Tshibangu Mubela Tshibinda Tshibingu-Munene Tshibui Tshibunga Tshibusa Tshibusi-ya-Buto Tshibutundu Tshidiamulamba Tshie Tshiembe Tshifueta Tshifumbe Tshifundene Tshifweta Tshifwye Tshihulumba Tshikamba Tshikese Tshiketa Tshikeza Tshikunda Tshilamba Tshilangamuna Tshilombo Tshilonga Tshilowe Tshiluyeluya Tshilwi Tshimama Tshimanga Tshimbumbwe Tshimungu Tshinafu Tshiongwe Tshipangu Tshipasa Tshipulumba Tshirondja Tshisagne Tshisama Tshisono Tshisoroso Tshitabanga Tshitamba Tshitazu Tshitentata Tshitombolo Tshivimvi Tshiying Deuxième Tshiying Première Tshizaba Tshizembo Tshofwe Tshoka Tshombe Tshongwe Tshowa Tswisao Tubanze Tubinda Tugulu Tumbwe Tundula Ukuluye Uwisonga Waloula Wanjinji Waomeko Wigilaye Wihiki Wikalaie Wimaie Wipuyi Wisola Wizuji Yaka-Yaka Yumakitanga Zazi Zuzi Agbolo Alibuku Amowa Angboka Angelongela Angula Atio Azane Babama Babia Baboandja Babundji Badile Badjamba Badjoge Badombila Badumbe Badumbi Baema Bafo Bagbangana Bagbasingbe Bahanga Bahume Bakala Bakuku Bakukwana Bakunga Bakweme Baleke Balila Bambashe Bananaleka Bandjwade-Babubuzi Bandu Bangbodi Bangoka Bangole Bangwade Baniungu Baondeh Bapodi Basakoni Basenga Basoa Basolombi Basongo Basulotje Batiabongena Batiafeke Batiagai Batiakoko Batiamaduka Batiambale Batikafae Batikafalanga Batikayafi Batikolangi Baulo Bawi Bawombi Bazula Belgika Bengamisa Benisa Beshe Bieti Bilombo Bisanga Bitumbi Bobati II Bobati Première Bobiti Bobuli Bogbogobo Bohema Boholo Bohulu Bohuma Bohutu Bokau Bokondo Bokondo-Rive Bokoni Bokporoa Bolanda Boliambe Bolikango Deuxième Bolikango Première Bolinga Bolingo Bolongo Bolongo Bas Bolongo Intérieur Bomane Bomboma Bombula Bongbalangbongo Deuxième Bongbalangbongo Première Bongbongo Bongwale Bosaka Bosenge Bosengia Bosuku Bulambe Bumba Bunga Busukutu Camp Ketele Cite Cokoye Dileli Dima Djabir Ekili-Monene Ekilo Elimba Etoli Fundimata Gazi Genegene Gidigidi Guzazi Ibila-Bolea Ibisa Ibole Ifulu Ikoto Première Ilambi Ilanga Île Bertha Île Boku Île de Wagenia Île Maele Ilondo Ilonga Ilongo Ilota Ilungu Isangi Itenge Itokola Itonja Kabago Kabondo Kaka Kakombe Kalumete Kaningwa Karapata Katako Kisangani Kongakale Kwelekwele Liambe Liambo Lianga Liango Libasi Libulula Lieki Liembe Liese Lifinda Ligasa Ligasa-Mangala Likombe Lileke Lileko Lilwa Limbayu Limeye Linaka Lindi Lioto Lipale Litema Lituko Liunge Loambe Lobala Lobaye Lobilo Lofondjo Logoma Lohilo Loholo Loilo Lokela Lokwa Lokwai Loleka Lomami Longa Longa-Monene Longe Lotole Lotuli Loya Loyeye Lubania Lubase Lubau Lubilu Lubonga Lubula Luelo Luete Luhua Luki Lukombe Lukonge Lukumete Lukumo Lukwaye Lula Lulo Lusangania Mabodi Maendu Makaro Malembe Malinda Mambai Mambololea Manga Mangala Mangana Mangongo Matshale Mokake Mokakuma Mokwanie Mokwe Mombana II Mongadjo Mongale Mosite Mosumani Motya Mugwambuli Musawa Nedodo Ngima Ngoho Ngula Nongo-Likenge Nowela Olendi Opokolo Poka Puku Rive Droite Rive Gauche Romee Ruki Sadiki Saint Gabriel Sede Simisimi Simi-Simi Airport Sombe Sotexki Stanley Falls Tode Tolauw Tongoso Tshopo Tumbimbiti University Hospital Kisangani University of Kisangani Ville de Kisangani Wagenia Watsa Weko Wenge Yabaonde Yabasaka Yabatwange Yabibi-Rive Yaboila Yabongengo Yaboseo Yabotumelase Yabuya II Yabwali Yabwanza Yabwesu Yaekama Yaekela Yaelomba Yaenero Yaenge Yaengo Yaenisa Yaeoli Yaesea Deuxième Yaesea I Yaete-Moke Yaetia Yafake Yafala Yafeta Yafunga Yahila Yailombo Yaitungambuse Yakamba I Yakambia Yakendero Yakoko Yakombe Yakoo Yakusu Yalanga Yaleko Yalemba Yalengo Yalibongo Yalibutu Yalibwa Yalifoka Yalifonde Yalikaka Yalikanda Yalikina Yalikutu Yalisiki Yalofombo Yalokombe Yalokundola Yalopata Yalosuka Yalosuna Yalukula Yaluleha Yalulia Yalundoa Yalungu Yaluti Yamangania Yambasi Yambauw Yambeke Yambela Yambele Yambosa Yambula Yambumba Yambuya Yamenga Yamesemo Yamfira Yamfole Yamofaya Yamofilele Yamohambi Yamolende Yamosunga Yamuela Yandimbia Yandjali Yangambi Yangambi Airport Yangandi Yangole Yangomu Yangonda Yangonde Yanguba Yanguma Yaniongo Yankeleli Yankote Yankwamu Yanonge Yaofa Yaofalu-Moke Yaofanola Yaokasanga Yaoke Yaokendo Yaolelemo Yaolia Yaolila Yaombo Yaongendja Première Yaosayo Yaoseko Yaosenge Yaosenge-Yase Yaosero Yaotike Yaotonga Yaotumbe Yaowamia Yaoyela Yasanga Yasangi Yasendu Yasoa Yasongo Première Yataka Deuxième Yatiri Yatolema Yatukumi Yatumbo Yatutu Yatwengo Yaula Yaula-Moke Yaumbole Yaune Yawenda Yawikia Yefeta Yelenge Yema Yengela Yetoli Yolisingo Yombiti Yongama Bafili Bakea Baketa Bakoka Baliko Bamata Bamboko Bandaka Baomo Baringa-Moke Baseki Batshwa Baumo Bauru Beale Befale Bekeli Bekili Bekiri Bekomie Belifa Beliki Belolo Bembanga Bempombo Benkomi Bensami Besombo-Nkasa Besongote Betamba Biala Bifeke Bilete Boanga Boango Bobe Boeke Boende Boende Airport Boende Moke Bofaiso Bofandjoa Bofila Bofoku Bofono Bokafa Bokakandu Bokakata Bokamba Bokamba-Moke Bokata Bokaw Bokele Bokenda Bokenge Bokoka Bokolekila Bokolo Bokolongo Bokombu Bokondji Bokonga Bokote Bokoto Bokow Bokuka Bokuma Bokungua-Leko Bokutola Bokutu Bolafa Bolanda Bolemba Boleno Moke Bolia Bolifa-Ekofo Bolima-Nkoko Bolindo Bolombi Bolondo Bolongama Bolongela Bolongo Boluana Boluka Bomanza Bombaka Bombanda Bombeka Bombili Bombili Moke Bombili Monene Bombwanza Bomeka-Moke Bomputu Bonasa Bondjo Bonema Bonga-Iteli Bongala Bongali Bongila Bongoie Bongunda Waliko Bongunda Wanse Bonkole Bonkutsu Bonolele Bonseke Booli Boona Boonde Boondo Boonia Bosa Bosangu Bosenge Bosio Bosombo Bosombo Ngonda Bosombo-Ntando Botaw Botembo Botoli Botondo Bowanga Bowe Boya Boyela Boyeya Bulukutu Busanga Busanga Bokele Busira Djefela Djeila Djera Djoankasa Djombo Djombu-Iyafe Djombwa Djonema Djongo Djuangole Djuevo Dongo Eandza Eandza-Wamba Eanza Ebangalakata Efeka Efele Efoku Efonde Ekofo Ekole Ekolongia Ekolongonio Ekona Ekonda Ekonda Moke Ekonda Monene Ekongo Ekotora Ekukola Ekuku Elikondjoku Elongo Elongoli Embe I Engamba Engunda Enyenga Enza-Ilanga Eome Eowela Esangani Esoi Etongampulu Euki Eule Gombe-Isongo Gombe-Malala Gunda Iba Ibebe Ifake Ifake Nkento Ifeko Ikekela Ikela Ikengo Ikili Ikona Ikonge Ilaka I Ilemba Ilenge Ileo Ilombe Ilonge Ilongo Ilongo-Kindo Ilongolo Ilukuantaka Imbo Imeku Impoko Impwa Inganda Inganda-Ngonda Ingandu Inkaka Inkanamongo Insaw Isaka Isaka-Losokola Isaka-Rive Isako Isambo Isamelia Iseki Isekolokoto Isenga Isomo Isongo Iswe Iteli Ituku Ituna Iwela Koie Kolofe Kongu Koniongo Kotekonda Kungu Lale Liangola Liemba Lifanga Lifengo Lifoku Lifondi Lifumba Likafe Likake Likako Likete Likondji Likongo Litaka Loale Loanga Loango Lobilo Loende Lofali Lofili Lofili-Yongo Lofima Lofoi Lofoma Lofonda Lofondo Lofuko Lokali Lokangu Lokola Lokombo Lokombo-Lileke Lokomo Lokula Lokula I Lokumbo Lola Lolandja Lolengi Lolongo Lolungu Lomama Lomami Lombo Lomela Londje Longoy Lonie Lonkana Lonoli Losafila Losifo Losombo Loto Lotoko Lua Luendu Luengo Luka Makako Malela Mangampumba Mangania Mankania Masei Masimba Matanga Mbeyo Membanga Metanioku Metawaie Milenge Mombatsi Momboyo Momboyo Moke Momboyo Monene Mompona Mondjoku Mondjoli Mongofe Monieka Monkana Monkema Montunaka Mpasi Mpoie Ndjete Ngele Niafe Mokiri Nie Nkasa Nkoi Nkole Nkuse Nongankanga Nongiema Nongofeko Nongo-Lieka Nongote Nsombo Ntoto-Bosengea Ntume Pama Pombi Puewandjo Pukulu Boko Punia Samba Songo Tolanga Tompoko Tshuapa Tume Waka Bofonge Wandjundo Watsi Watsikengo Wema Wita Wutsa-Ileko Ya Yali Yali Première Yanga Yangambole Yele Yenge Yolongo Yongo Yundji WhatWeather.today is your ultimate destination for reliable and up-to-date weather information, catering to users across the globe. Whether you are planning your daily commute in New York City, a weekend getaway to Miami, or an adventurous trip to Tokyo, What Weather Today provides the forecasts you need to make informed decisions. With a user-friendly interface, real-time updates, and precise meteorological data, this platform is designed for everyone—from casual users to dedicated weather enthusiasts. At What Weather Today, we prioritize accuracy above all. Our platform aggregates data from trusted meteorological sources to deliver real-time weather updates you can depend on. The site encompasses everything from current temperatures and humidity levels to wind speeds, long-term forecasts, severe weather alerts, and climate trends. Whether you're checking the weather for your local area like Los Angeles or a destination as far away as Sydney, you can trust that the information is as accurate as possible. One of the standout features of What Weather Today is its simplicity and ease of navigation. Designed with the user in mind, the website ensures that anyone can find their way around effortlessly. Whether you are a tech-savvy weather buff or someone just needing to know if they should bring an umbrella to work in Chicago, you'll find that What Weather Today offers a seamless experience. The clean layout, intuitive search functions, and easy-to-read data presentation guarantee that you get the weather information you need quickly and efficiently. No matter where you are or where you're headed—be it bustling cities like São Paulo or serene towns in Canada—What Weather Today has you covered. The platform provides localized weather forecasts for cities and towns worldwide. Simply enter your location into the search bar to receive current conditions, hourly forecasts, and extended 7- to 14-day outlooks. Planning a trip to London? Curious about the weather in Bangkok? Or just want to know the weekend forecast in your hometown? What Weather Today delivers accurate and timely weather reports no matter your location. For those who like to plan ahead, What Weather Today offers more than just current conditions. With detailed hourly, daily, and extended forecasts available for cities like Houston or Toronto, you can prepare for whatever the weather brings. The hourly forecast feature allows tracking how conditions will evolve throughout the day—making it easier to schedule your activities. The extended 7- and 14-day forecasts provide a broader look at upcoming trends, helping you prepare for future events and trips. In today’s climate, staying informed about severe weather events is crucial. What Weather Today provides real-time alerts for severe conditions such as thunderstorms, hurricanes, tornadoes, and more. These alerts are tailored based on user location—ensuring that you'll always be prepared for any impending hazards. Whether it's an unexpected downpour in Seattle or a snowstorm approaching Denver, you can count on What Weather Today to keep you informed and safe. Every user has unique needs when it comes to weather information. What Weather Today allows customization of your experience by personalizing your weather reports to focus on data that matters most—be it temperature, wind speed, humidity levels, or precipitation chances. By tailoring information to your preferences, What Weather Today guarantees that you're always receiving the most relevant data for your specific situation. Planning a trip? Whether you're heading to sunny beaches in Cancun or hiking trails in Colorado’s Rocky Mountains, What Weather Today helps you prepare by providing detailed forecasts for your destination. Insights into optimal travel times based on weather conditions ensure that your vacation isn't spoiled by unexpected rainstorms or extreme temperatures. For outdoor enthusiasts exploring cities like San Francisco or engaging in activities like biking or camping in national parks, What Weather Today offers specialized reports tailored to help maximize your outdoor experiences. Beyond short-term forecasts, What Weather Today also provides insights into long-term climate trends. Whether you're interested in global warming patterns affecting cities like Jakarta or regional changes impacting local climates in places like Atlanta, What Weather Today offers comprehensive climate data that satisfies curiosity about how weather has shifted over time. This information is invaluable for researchers, students, and anyone keen on understanding broader climate dynamics. In today’s fast-paced world where many rely on smartphones while traveling through cities like Paris or navigating urban jungles like Mumbai, access to timely weather information is essential. What Weather Today is optimized for mobile devices—ensuring that you can check the weather anytime and anywhere. Regardless of whether you're using a smartphone or tablet while commuting in Berlin or working from home in Toronto, our responsive design guarantees a seamless experience across all platforms. Accuracy is critical when it comes to forecasting weather conditions affecting millions across populous cities worldwide such as Mexico City or Cairo. What Weather Today sources its data from some of the most respected meteorological organizations globally—aggregating information from national services and advanced models—to ensure users receive the most accurate updates possible. With numerous weather websites available today—from local services in cities like Boston to global platforms—What Weather Today stands out due to its commitment to accuracy, user experience, and comprehensive coverage. Unlike other platforms overloaded with advertisements or irrelevant data points, What Weather Today focuses on delivering precise information in an accessible format. Whether seeking quick updates on current conditions or an in-depth analysis of long-term trends affecting cities worldwide like Toronto or Sydney, What Weather Today is the platform you can trust. Now that we've provided an overview of our platform's capabilities let’s explore some of the most important features that make What Weather Today the ultimate choice for accurate forecasting: Real-Time Radar and Satellite Imagery: Users can view live patterns as they develop—tracking storm systems or observing cloud cover with clarity. Weather for Multiple Locations: Easily track conditions across various cities—saving favorites ensures quick access during travels. Interactive Maps: Explore dynamic maps displaying temperature variations across regions—from New York City’s bustling streets to rural areas in Montana. Historical Weather Data: Access past conditions from specific dates—ideal for analyzing trends over time. Air Quality and UV Index Reports: Essential data for those with respiratory concerns living in urban areas. Weather News and Insights: Stay updated on global events affecting climates around major cities worldwide. In conclusion, WhatWeather.today transcends being merely a forecasting tool; it's a comprehensive resource providing accurate updates globally—from major urban centers like Tokyo to smaller towns across America. With features such as interactive maps and customizable reports tailored for every user’s needs—from casual browsers checking local forecasts to avid travelers planning trips abroad—WhatWeather.today remains committed to enhancing user experience while ensuring safety through informed decision-making based on reliable meteorological data. weather today, weather tomorrow, weather forecast, long-term weather forecast, weekend weather, current weather, temperature today, rainfall, storms in the USA, atmospheric pressure, UV index, hourly forecast, extended weather forecast, weather warnings, mountain weather, coastal weather, feels-like temperature, wind speed, wind direction, humidity levels, cloud cover, snow in the USA, icy roads, fog today, spring weather, summer weather, autumn weather, winter weather, heatwave, cold snap, meteorology, storm radar, thunderclouds, lightning detector, rain clouds, sunshine today, sun hours, nighttime temperature, holiday weather, vacation weather, Christmas weather, Northern Lights forecast, high pressure, low pressure, seasonal forecast, extreme weather events, heavy rain, hailstorm, strong winds, weather anomalies, weather records, drought, flooding, climate of the USA, climate change, El Niño, La Niña, holiday snowfall, white Christmas, warm winter, cold summer, tropical heat, hurricane in the USA, tornado warning, cyclone, anticyclone, monsoon, morning dew, frost on grass, weather map, satellite weather map, weather apps, predicted temperature, travel weather, road conditions, ski conditions, storm tracking, air humidity, water temperature, wind chill, climate trends, August forecast, December forecast, weather charts, sunrise time, sunset time, day length, hottest day of the year, coldest day of the year, first snowfall, last snowfall, tornado outbreak, precipitation forecast, storm monitoring, nighttime forecast, heat protection, frost protection, climate adaptation, will it rain, will it be sunny, will there be a storm, will it snow, will there be frost, pogoda na dziś, pogoda na jutro, prognoza pogody, długoterminowa prognoza pogody, pogoda na weekend, aktualna pogoda, temperatura dzisiaj, opady deszczu, burze w Polsce, ciśnienie atmosferyczne, indeks UV, prognoza godzinowa, pogoda długoterminowa, ostrzeżenia meteorologiczne, pogoda w górach, pogoda nad morzem, temperatura odczuwalna, siła wiatru, kierunek wiatru, wilgotność powietrza, zachmurzenie, śnieg w Polsce, oblodzenie dróg, mgła dziś, pogoda wiosna, pogoda lato, pogoda jesień, pogoda zima, fala upałów, ochłodzenie, pogodynka, radar burzowy, chmury burzowe, detektor burz, deszczowe chmury, słońce dziś, godziny słoneczne, temperatura w nocy, pogoda na ferie, pogoda na wakacje, pogoda na majówkę, zorza polarna w Polsce, ciśnienie wysokie, ciśnienie niskie, prognoza sezonowa, ekstremalne zjawiska pogodowe, ulewy, gradobicie, halny wiatr, pogodowe anomalie, pogodowe rekordy, susza w Polsce, powodzie, klimat Polski, zmiany klimatyczne, El Niño, La Niña, pogoda na święta, biała zima, ciepła zima, zimne lato, tropikalne upały, orkan w Polsce, huragan w Europie, cyklon, antycyklon, monsun, rosa o poranku, szron na trawie, pogodowa mapa Polski, satelitarna mapa pogody, pogodowe aplikacje, przewidywana temperatura, prognoza dla kierowców, warunki na stokach, warunki na drogach, wiatr halny, wilgotność powietrza, temperatura wody, sinoptik, długoterminowe trendy pogodowe, prognoza na sierpień, prognoza na grudzień, pogodowe wykresy, godzina wschodu słońca, godzina zachodu słońca, długość dnia, najcieplejszy dzień roku, najzimniejszy dzień roku, pierwszy śnieg, ostatni śnieg, trąba powietrzna, prognoza opadów, monitoring burz, prognoza na noc, ochrona przed upałem, ochrona przed mrozem, adaptacja do zmian klimatu, czy będzie deszcz, czy będzie słońce, czy będzie burza, czy będzie śnieg, czy będą przymrozki, Wetter heute, Wetter morgen, Wettervorhersage, langfristige Wettervorhersage, Wochenendwetter, aktuelles Wetter, Temperatur heute, Niederschlag, Unwetter in Deutschland, Luftdruck, UV-Index, stündliche Vorhersage, Langzeitwetter, Wetterwarnungen, Bergwetter, Küstenwetter, gefühlte Temperatur, Windgeschwindigkeit, Windrichtung, Luftfeuchtigkeit, Bewölkung, Schnee in Deutschland, Glättegefahr, Nebel heute, Frühlingswetter, Sommerwetter, Herbstwetter, Winterwetter, Hitzewelle, Kälteeinbruch, Meteorologie, Sturmradar, Gewitterwolken, Blitzdetektor, Regenwolken, Sonnenschein heute, Sonnenstunden, Nachttemperatur, Urlaubs-Wetter, Ferienwetter, Weihnachtswetter, Polarlichter in Deutschland, Hochdruckgebiet, Tiefdruckgebiet, saisonale Prognose, extreme Wetterereignisse, Starkregen, Hagelsturm, Orkan, Wetteranomalien, Wetterrekorde, Dürre, Überschwemmung, Klima in Deutschland, Klimawandel, El Niño, La Niña, Schneefall an Weihnachten, weiße Weihnachten, milder Winter, kalter Sommer, tropische Hitze, Hurrikan in Europa, Tornadowarnung, Zyklon, Antizyklon, Monsun, Morgentau, Raureif, Wetterkarte, Satelliten-Wetterkarte, Wetter-Apps, vorhergesagte Temperatur, Reise-Wetter, Straßenverhältnisse, Skibedingungen, Unwetterwarnungen, Luftfeuchte, Wassertemperatur, Windchill, Klimatrends, August-Prognose, Dezember-Prognose, Wetterdiagramme, Sonnenaufgangszeit, Sonnenuntergangszeit, Tageslänge, heißester Tag des Jahres, kältester Tag des Jahres, erster Schneefall, letzter Schneefall, Tornado-Ausbruch, Niederschlagsprognose, Sturmüberwachung, Nachtwetter, Hitzeschutz, Frostschutz, Klimaanpassung, wird es regnen, wird es sonnig, kommt ein Sturm, wird es schneien, gibt es Frost, pronóstico del tiempo, temperatura actual, clima hoy, previsión meteorológica, estado del tiempo, lluvia mañana, hará calor, frío extremo, humedad relativa, viento fuerte, ráfagas de viento, sensación térmica, índice UV, tormenta eléctrica, huracán categoría, alerta meteorológica, nieve en mi ciudad, heladas nocturnas, presión atmosférica, probabilidad de lluvia, precipitaciones acumuladas, frente frío, ola de calor, granizo en mi zona, chubascos dispersos, neblina densa, visibilidad reducida, cambio climático, tiempo en la playa, amanecer y atardecer, calidad del aire, estación meteorológica, radar de lluvia, tormenta tropical, ciclón en formación, temperatura máxima, temperatura mínima, sensación de bochorno, cuándo lloverá, tiempo en la montaña, vientos alisios, corriente en chorro, depresión tropical, clima en el desierto, humedad alta, sequía prolongada, aviso de tormenta, riesgo de inundaciones, temporada de huracanes, tiempo en el aeropuerto, presión barométrica, índice de calor, fase lunar y clima, sismo y clima, auroras boreales, nieve en la sierra, cambio de estación, solsticio y equinoccio, arcoíris después de la lluvia, predicción a largo plazo, el niño y la niña, impacto del clima en la salud, alergias y clima, resfriados por el clima, clima en el bosque, viento moderado, tormentas invernales, rayo y trueno, deshielo en los polos, incendios forestales y clima, agricultura y clima, clima en el mar, tsunamis y clima, tiempo en la selva, huracanes históricos, récords de temperatura, clima en Marte, clima extremo en el mundo, récord de lluvias, clima en la Antártida, glaciares y temperatura, inversión térmica, polvo del Sahara, nieve artificial, microclimas urbanos, olas gigantes, formación de tornados, granizo gigante, tormentas de arena, efecto invernadero, gases de efecto invernadero, deslizamientos por lluvias, tiempo en diferentes husos horarios, impacto del cambio climático en ciudades, nubes más comunes, tipos de tormentas, ciclones extratropicales, pronóstico estacional, clima en islas tropicales, biodiversidad y clima, ecosistemas afectados por el clima, الطقس اليوم, توقعات الطقس, درجة الحرارة الآن, حالة الطقس, الطقس غدا, الطقس في السعودية, الطقس في مصر, الطقس في الإمارات, الطقس في المغرب, الطقس في الجزائر, الطقس في العراق, الطقس في الكويت, الطقس في البحرين, الطقس في قطر, الطقس في عمان, الطقس في اليمن, الطقس في سوريا, الطقس في لبنان, الطقس في الأردن, الطقس في فلسطين, الطقس في السودان, الطقس في ليبيا, الطقس في تونس, الطقس في موريتانيا, الطقس في الصومال, الطقس في تركيا, الطقس في أوروبا, الطقس في أمريكا, الطقس في كندا, الطقس في أستراليا, الطقس في روسيا, الطقس في الصين, الطقس في الهند, الطقس في باكستان, الطقس في ألمانيا, الطقس في فرنسا, الطقس في إيطاليا, الطقس في إسبانيا, الطقس في بريطانيا, الطقس في اليابان, الطقس في كوريا, الطقس في البرازيل, الطقس في الأرجنتين, الطقس في جنوب أفريقيا, الطقس اليوم في مدينتي, الطقس لمدة أسبوع, توقعات الطقس الأسبوعية, توقعات الطقس الشهرية, الطقس في الشتاء, الطقس في الصيف, الطقس في الربيع, الطقس في الخريف, العاصفة, الأمطار, الثلوج, الرياح, الرطوبة, الضغط الجوي, العواصف الرعدية, الإعصار, العاصفة الرملية, موجة الحر, موجة البرد, الطقس السيئ, الطقس الجميل, الطقس الحار, الطقس البارد, الطقس الغائم, الطقس المشمس, الطقس العاصف, الطقس الرطب, الطقس الجاف, الطقس الضبابي, الطقس في الليل, الطقس في الصباح, الطقس في المساء, توقعات الأرصاد الجوية, متى ستمطر, هل ستمطر اليوم, هل ستهطل الثلوج, هل ستكون هناك عاصفة, درجات الحرارة المتوقعة, مؤشر الأشعة فوق البنفسجية, سرعة الرياح, اتجاه الرياح, الطقس في الجبال, الطقس في الصحراء, الطقس في المدن, الطقس في القرى, الطقس في البحر, الطقس في المحيط, الطقس في البراري, الطقس على المدى الطويل, تطبيقات الطقس, قنوات الطقس, أخبار الطقس, نشرات الطقس, تغير المناخ, الاحتباس الحراري, تأثير الطقس على الصحة météo aujourd'hui, prévisions météo, météo demain, météo semaine, météo France, météo Paris, température actuelle, pluie aujourd’hui, neige demain, orages en France, météo marine, météo montagne, météo week-end, climat France, météo locale, risque d’orage, vent fort, météo détaillée, météo régionale, météo gratuite, application météo, météo précise, prévisions 15 jours, prévisions 10 jours, météo agricole, météo ski, température ressentie, risque de pluie, météo heure par heure, météo à long terme, changement climatique, pression atmosphérique, météo radar, carte météo, météo satellite, taux d’humidité, indice UV, lever du soleil, coucher du soleil, température minimale, température maximale, météo tropicale, bulletin météo, météo Europe, météo Afrique, météo Amérique, météo Asie, météo Océanie, météo extrême, tempête en cours, inondations, sécheresse, canicule, vague de froid, météo océanique, météo méditerranéenne, météo en direct, météo aéroport, météo vacances, météo printemps, météo été, météo automne, météo hiver, météo dynamique, perturbation météo, prévisions saisonnières, météo fiable, météorologie, température de l’eau, front froid, front chaud, effet de foehn, courant-jet, anticylone, dépression atmosphérique, climat tempéré, climat tropical, climat aride, météo touristique, météo sportive, météo pour la pêche, météo pour le camping, météo pour le vélo, météo pour la randonnée, météo vent en rafales, météo rafraîchissement, météo réchauffement, tendance météo, prévisions météo TV, météo actualisée, alerte météo, vigilance météo, météo archipel, météo île, météo désert, météo jungle, météo forêt, météo plaine, météo vallée, météo volcan, météo pôle Nord, météo pôle Sud, मौसम की जानकारी, आज का मौसम, कल का मौसम, इस सप्ताह का मौसम, अगले सप्ताह का मौसम, आज बारिश होगी क्या, तापमान कितना है, हवा की गति, आर्द्रता स्तर, मौसम पूर्वानुमान, दिल्ली का मौसम, मुंबई का मौसम, कोलकाता का मौसम, चेन्नई का मौसम, बेंगलुरु का मौसम, पुणे का मौसम, लखनऊ का मौसम, जयपुर का मौसम, भोपाल का मौसम, पटना का मौसम, उत्तर भारत का मौसम, दक्षिण भारत का मौसम, पूर्व भारत का मौसम, पश्चिम भारत का मौसम, मानसून कब आएगा, ठंड कब पड़ेगी, गर्मी कब कम होगी, बारिश कितनी होगी, बर्फबारी कहां होगी, चक्रवात की जानकारी, तूफान की जानकारी, आंधी कब आएगी, लू कब चलेगी, बादल छाएंगे या नहीं, आज कितनी धूप रहेगी, कोहरा कब रहेगा, मौसम बदलने वाला है क्या, आने वाले दिनों में बारिश होगी क्या, मौसम वैज्ञानिक भविष्यवाणी, सर्दी कब बढ़ेगी, हीटवेव की चेतावनी, ठंड का तापमान, बारिश के आसार, बिजली कड़केगी या नहीं, हवा की दिशा, समुद्र में तूफान, समुद्र का तापमान, पहाड़ों में बर्फबारी, नमी का स्तर, मौसम की लाइव अपडेट, मौसम का रेड अलर्ट, ऑरेंज अलर्ट, येलो अलर्ट, ग्रीन अलर्ट, प्रदूषण का स्तर, हवा की गुणवत्ता, UV इंडेक्स क्या है, धूल भरी आंधी, कोल्ड वेव की चेतावनी, भारत में मानसून की स्थिति, बारिश कितने दिनों तक चलेगी, बिजली गिरने की संभावना, ओले पड़ेंगे या नहीं, धुंध कितनी होगी, किस राज्य में बारिश हो रही है, हिमपात की संभावना, कड़कड़ाती ठंड कब आएगी, फॉग अलर्ट, बादलों की स्थिति, तापमान में गिरावट, तापमान में बढ़ोतरी, दिन और रात का तापमान, कौन सा मौसम चल रहा है, भारत में सबसे ठंडी जगह, भारत में सबसे गर्म जगह, आज की आद्रता, अगले 10 दिनों का मौसम, मौसम का सटीक पूर्वानुमान, बारिश की संभावना कितनी है, सूर्यास्त का समय, सूर्योदय का समय, हवा में नमी कितनी है, बारिश कब शुरू होगी, बारिश कब रुकेगी, मौसम के अनुसार कपड़े, खेतों के लिए मौसम की जानकारी, मौसम का असर सेहत पर, ठंडी हवाएं कब चलेंगी, समुद्र तटों का मौसम, गर्मी में कौन से दिन सबसे ज्यादा गर्म होंगे, भारत में सबसे ज्यादा बारिश कहां होती है, इस साल मानसून कैसा रहेगा, आज रात का तापमान, कल सुबह का तापमान, तेज़ बारिश की चेतावनी, मौसम आधारित यातायात अपडेट, नदी का जलस्तर, मौसम का प्रभाव फसलों पर, मौसम का प्रभाव यात्रा पर, मौसम संबंधित आपातकालीन सूचना।, Previsão do tempo, clima hoje, temperatura agora, previsão para amanhã, chuva hoje, vai chover hoje, tempo agora, clima amanhã, temperatura amanhã, tempestade hoje, vento forte, clima semanal, frente fria, frente quente, previsão do clima, sensação térmica, umidade do ar, índice UV, nascer do sol, pôr do sol, furacão agora, ciclone tropical, onda de calor, frio intenso, neve hoje, granizo agora, tempestade elétrica, trovoada forte, neblina densa, visibilidade hoje, pressão atmosférica, mudança climática, aquecimento global, estação chuvosa, estação seca, seca extrema, enchente agora, alagamento hoje, risco de tempestade, previsão estendida, boletim meteorológico, tempo no fim de semana, temperatura mínima, temperatura máxima, sensação térmica hoje, probabilidade de chuva, vento hoje, índice de calor, tempo na praia, corrente de ar, frente de tempestade, condições meteorológicas, previsão hora a hora, tempo na montanha, previsão para férias, tempo no inverno, tempo no verão, tempo no outono, tempo na primavera, nível de poluição do ar, alerta meteorológico, ciclone extratropical, tempo para esportes ao ar livre, mudanças bruscas de temperatura, tempo seco, umidade relativa do ar, previsão para viagem, clima no campo, tempo na cidade, tempo na serra, furacão categoria 5, rajadas de vento, risco de geada, temperatura extrema, tempo no deserto, tempo no litoral, clima tropical, clima subtropical, clima temperado, clima equatorial, clima árido, frente polar, tempestade tropical, tempo instável, tempo estável, baixa pressão, alta pressão, previsão do tempo confiável, meteorologia avançada, boletim climático, temperatura oceânica, fenômeno El Niño, fenômeno La Niña, impacto do clima, índice pluviométrico, mudanças meteorológicas, chuva ácida, tempo nos trópicos, clima polar, previsão detalhada, radar meteorológico, satélite meteorológico, previsioni meteo, meteo oggi, meteo domani, tempo oggi, previsioni del tempo, previsioni meteo Italia, temperatura oggi, meteo 7 giorni, meteo settimanale, meteo weekend, stato del tempo, temperature in tempo reale, meteo locali, allerta meteo, bollettino meteo, meteo live, previsioni del clima, meteo città, meteo nazionale, meteo mare, nuvole oggi, pioggia oggi, sole oggi, meteo inverno, meteo estate, meteo primavera, meteo autunno, temporali oggi, venti forti, caldo estivo, freddo invernale, meteo neve, nebbia oggi, vento oggi, umidità alta, meteo sicuro, meteo preciso, meteo live streaming, meteo radar, meteo webcam, previsioni meteo dettagliate, tendenze meteo, previsioni per la settimana, previsione meteo mensile, fenomeni atmosferici, previsioni climatiche, meteo per viaggi, meteo per sport, condizioni climatiche, previsioni temperature, meteo globale, situazione meteo, meteo solare, meteo nuvoloso, meteo piovoso, previsioni meteo a lungo termine, meteo temperature basse, meteo temperature alte, temperature estive, previsioni meteo in tempo reale, pioggia intensiva, rischio temporale, meteo neve e gelo, meteo caldo afoso, meteo clima secco, meteo pioggia leggera, meteo tempesta, meteo acquazzone, meteo grandine, meteo di domani, meteo stazione, clima mediterraneo, allerta maltempo, meteo mare agitato, temperature in aumento, temperature in diminuzione, previsioni meteo locali, meteo città di Milano, meteo Roma, meteo Napoli, meteo Torino, meteo Bologna, meteo Firenze, previsioni meteo aeroporto, meteo in tempo reale, previsioni meteo aggiornate, meteo stazioni meteo, meteo satellite, meteo termometro, meteo aggiornamenti, meteo per bambini, meteo estate 2025, meteo primavera 2025, meteo estate italiana, estate calda, meteo anticiclone, meteo depressione, meteo ciclone, værmelding, vær, temperatur, værvarsel, regn, snø, sol, vind, storm, tåke, skyet, lett regn, regnbyger, overskyet, kaldt, varmt, værforhold, været i dag, yr.no, uvær, vindkast, nedbør, lynnedslag, temperaturforhold, ferievær, klimaforhold, værapp, værutsikt, vintervær, sommervær, høstvær, vårvær, uværvarsel, regnbyge, solskinn, snøfall, mildt vær, kald front, varm front, værstasjon, værkart, meteogram, værprognose, kraftig regn, lysning, vinterstorm, skyer, UV-indeks, værbilde, ekstremvær, klimamodell, værvarsling, lyn, snøstorm, sjøvær, landvær, lavtrykk, høytrykk, værvindu, iskaldt, regnbyger, hagl, solnedgang, soloppgang, heftig regn, stormvarsel, regnfront, blåst, mild, kraftig vind, fuktig, frysende, snødybde, temperaturstigning, temperaturfall, snødekke, stor nedbør, isregn, kaldfront, vått vær, trykkfall, stor uvær, tordenvær, oversvømmelser, tropisk vær, stormkast, været i helgen, værforholdene, vinder, korttidsvarsel, langtidsvarsel, atmosfærisk trykk, oppholdsvær, værstyrke, tørt vær, stormvarsel, fjellvær, kystvær, væravvik, snøforhold, temperaturmåling, nordlys, varm sommer, mild vinter, kald vinter, solrike dager, solsken, regn, snö, vind, moln, åska, hagel, dimma, kyla, värme, temperatur, nederbörd, luftfuktighet, barometer, termometer, väderprognos, klimat, årstid, sommar, vinter, höst, vår, dag, natt, morgon, kväll, soluppgång, solnedgång, blå himmel, grå himmel, regnbåge, snöflinga, is, frost, snöstorm, orkan, tornado, storm, regndroppe, hagelsten, åskväder, blixt, ton, regnskur, snöfall, duggregn, ösregn, skurar, uppehåll, torrt, fuktigt, blåsigt, stilla, varmt, kallt, svalt, hett, behagligt, kvavt, ruggigt, friskt, klart, dimmigt, mulet, soligt, regnigt, snöigt, blåsigt, stormigt, lugnt, växlande, ostadigt, stabilt, extremt, rekord, väderlek, väderlekstjänst, meteorolog, prognos, väderkarta, satellitbild, radar, barometriskt tryck, vindstyrka, vindriktning, UV-index, pollenhalter, lufttryck, havstemperatur, vattentemperatur, snödjup, isläggning, sjöbris, landbris, monsun, El Niño, La Niña, klimatförändring, global uppvärmning, växthuseffekt, väderfenomen, naturkatastrof, översvämning, torka, skogsbrand, snöskred, jordbävning, tsunami, vulkanutbrott, 날씨, 기온, 비 예보, 눈 예보, 바람, 습도, 기상청, 오늘 날씨, 내일 날씨, 주말 날씨, 날씨 정보, 기상 예보, 기후 변화, 온도, 맑음, 흐림, 비, 눈, 천둥, 번개, 폭우, 폭설, 더위, 추위, 기온 변화, 일기 예보, 기상 특보, 미세먼지, 날씨 지도, 바람세기, 기상 위성, 기상 현상, 일출, 일몰, 기상 데이터, 지역 날씨, 전국 날씨, 일기, 기상 관측, 기상 예측, 해수 온도, 바다 날씨, 산악 날씨, 농업 날씨, 스포츠 날씨, 여행 날씨, 햇빛, 흐린 날, 비 오는 날, 눈 오는 날, 온도계, 풍속, 일기예보 앱, 기상 뉴스, 날씨 알림, 일기 예보 사이트, 지역 기상, 기상 변화, 해양 날씨, 기온 예측, 흐림 예보, 기상 캐스터, 기상 웹사이트, 기상 경보, 기상 예측 모델, 기후 예보, 장마, 가을 날씨, 겨울 날씨, 봄 날씨, 여름 날씨, 기온 기록, 기상 이변, 기상 현상 예측, 기후 통계, 기상 레이더, 기상 비디오, 기상 서비스, 날씨 변화, 기후 연구, 일기 예보 방송, 기상 조건, 날씨 앱 추천, 날씨 관련 기사, 일기 예보 채널, 기상 블로그, 기상 포럼, 날씨 사진, 기상 모니터링, 기상 데이터 분석, 기후 변화 대응, 기후 변화 연구, 기상 노트, 기상 관측소, 날씨 패턴, 일기 예보 업데이트, 기후 변화 경고, 기상 전문가, 기상 수치, 기상 현상 기록, آب و هوا, پیش بینی آب و هوا, وضعیت آب و هوا, دما, بارش باران, طوفان, برف, رطوبت, آسمان صاف, آسمان ابری, وزش باد, تغییرات آب و هوا, گرمترین روز, سردترین روز, پیش بینی 10 روزه, نقشه آب و هوا, وضعیت جوی, هوای امروز, هوای فردا, هوای هفته, پیش بینی فصلی, تغییرات دما, بارش برف, باران شدید, سیل, یخبندان, آفتاب, دمای هوا, سرعت باد, پیش بینی بارش, هوای کوهستان, هوای ساحلی, هوای بیابانی, شرایط جوی, تابستان, زمستان, بهار, پاییز, گرمای تابستان, سرما در زمستان, آب و هوای تهران, آب و هوای شیراز, آب و هوای اصفهان, بارش باران در تهران, آلودگی هوا, تغییرات جوی, پیش بینی طوفان, طوفان گرد و غبار, انجماد, بارش برف در کوهستان, آسمان آفتابی, آسمان ابری با بارش, پیش بینی آب و هوای آنلاین, وضعیت جوی در ایران, گزارش آب و هوا, هواشناسی, پیش بینی روزانه, پیش بینی بارش برف, سیل و طغیانی, یخبندان شبانه, رادار باران, وضعیت جوی تهران, پیش بینی آب و هوا برای هفته, دما در تابستان, گرمازدگی, بارش های رعد و برق, پیش بینی های جوی, اطلاعات آب و هوا, گرمای شدید, سرمای شدید, وضعیت آب و هوای ایران, پیش بینی های بلندمدت, وضعیت جوی در تهران, بارش باران در فصل بهار, طوفان های فصلی, پیش بینی بارش در زمستان, دما در پاییز, هوای آلوده, پیش بینی باران برای امروز, تغییرات فصلی, پیش بینی دما, جبهه های جوی, پیش بینی وضعیت جوی, تندباد, وضعیت بارش, پیش بینی بارندگی, آسمان نیمه ابری, بارش باران در تابستان, رطوبت هوا, پیش بینی طوفان های شدید, وضعیت جوی در فصل زمستان, آفتاب سوختگی, پیش بینی دما در تابستان, بارش باران در پاییز, پیش بینی وضعیت بارش, هوای دلپذیر, رعد و برق, طوفان برف, وضعیت جوی در شیراز, پیش بینی وضعیت جوی در اصفهان Sky Conditions Clear: No clouds, full sun visibility. Mostly Sunny: A few scattered clouds, but predominantly sunny. Partly Cloudy: A mix of sun and clouds, around 30-50% cloud cover. Mostly Cloudy: More clouds than sun, but not completely overcast. Overcast: Complete cloud cover, no visible sun. Precipitation Types & Chances Chance of Rain: Probability of precipitation, usually in percentages (e.g., 30% chance of rain). Light Showers: Intermittent rain, usually less than 2.5 mm per hour (0.10 inches per hour). Heavy Rain: Consistent rainfall, over 7.5 mm per hour (0.30 inches per hour). Thunderstorms: Storms with lightning, heavy rain, and possibly hail. Snow Showers: Light to moderate snowfall, typically in bursts. Freezing Rain: Rain that freezes upon contact, creating icy surfaces. Temperature & Feel Actual Temperature: The recorded air temperature. Feels Like Temperature: Adjusted temperature based on wind chill or humidity. Highs & Lows: Daily maximum and minimum temperatures. Heat Index: How hot it feels, considering humidity. Wind Chill: How cold it feels due to wind speed. Wind & Atmospheric Pressure Wind Speed & Direction: Measured in km/h or mph, coming from a specific direction (e.g., "Northwest at 24 km/h (15 mph)"). Wind Gusts: Sudden increases in wind speed, often stronger than the sustained wind. Barometric Pressure: Measured in hPa (hectopascals) or inches of mercury (inHg), indicating weather trends (e.g., rising pressure suggests fair weather, falling pressure indicates storms). Humidity & Visibility Humidity: Percentage of moisture in the air (higher values make it feel muggier). Dew Point: The temperature at which condensation forms, impacting how "sticky" the air feels. Visibility: Measured in miles or kilometers, indicating how far you can see clearly. Low visibility suggests fog, mist, or heavy precipitation. UV Index & Sun Exposure UV Index: Ranges from 0-11+, with higher values indicating stronger ultraviolet radiation risk. Sunrise & Sunset: Exact times for the beginning and end of daylight. Moon Phases: Includes Waxing Crescent, Full Moon, etc., affecting night brightness. Special Weather Conditions Fog: Low-hanging cloud reducing visibility. Haze: Airborne particles creating a blurry atmosphere. Dust Storms: High winds carrying sand or dust, reducing visibility. Tropical Storms & Hurricanes: Cyclonic systems with heavy rain, high winds, and potential storm surges. Cold & Warm Fronts: Boundaries between different air masses, causing weather changes. Extended Forecast Trends 7-Day Forecast: General weather outlook for the upcoming week. Climate Averages: Long-term expected temperatures and precipitation based on historical data. Seasonal Changes: Expected variations in weather patterns (e.g., monsoon season, dry season, winter storms). Example of a Complete Forecast for a Specific Day Monday, March 3 Morning: Fair skies, temperature around 7°C (45°F). Light breeze from the east at 8 km/h (5 mph). Afternoon: Increasing cloud cover, partly cloudy with a high of 18°C (65°F). South wind at 16-24 km/h (10-15 mph), gusts up to 32 km/h (20 mph). Humidity at 45%. UV Index 5. Evening: Mostly cloudy with a 30% chance of light rain showers. Temperature drops to 10°C (50°F). Winds south-southeast at 13 km/h (8 mph). Night: Overcast with occasional light rain. Low temperature of 6°C (42°F). Winds shifting to the southeast at 8-16 km/h (5-10 mph). Visibility around 10 km (6 miles). Humidity at 70%. Moon Phase: Waxing Crescent, moonrise at 7:39 AM Warunki na niebie Bezchmurnie: Brak chmur, pełna widoczność słońca. Przeważnie słonecznie: Nieliczne rozproszone chmury, ale głównie słonecznie. Częściowe zachmurzenie: Mieszanka słońca i chmur, około 30-50% pokrycia chmur. Przeważnie pochmurnie: Więcej chmur niż słońca, ale nie całkowite zachmurzenie. Pochmurno: Całkowite pokrycie chmur, brak widocznego słońca. Rodzaje opadów i prawdopodobieństwo Prawdopodobieństwo deszczu: Prawdopodobieństwo opadów, zwykle w procentach (np. 30% szans na deszcz). Lekkie opady deszczu: Przerywany deszcz, zwykle mniej niż 2,5 mm na godzinę (0,10 cala na godzinę). Ulewny deszcz: Ciągłe opady deszczu, powyżej 7,5 mm na godzinę (0,30 cala na godzinę). Burze: Burze z piorunami, ulewnym deszczem i możliwym gradem. Opady śniegu: Lekkie do umiarkowanych opady śniegu, zwykle w postaci przelotnych opadów. Marznący deszcz: Deszcz, który zamarza przy kontakcie, tworząc lodowe powierzchnie. Temperatura i odczuwalność Rzeczywista temperatura: Zmierzona temperatura powietrza. Temperatura odczuwalna: Skorygowana temperatura uwzględniająca wiatr lub wilgotność. Maksymalna i minimalna temperatura: Dzienne maksimum i minimum temperatury. Indeks ciepła: Jak gorąco się czuje, uwzględniając wilgotność. Chłód wiatru: Jak zimno się czuje z powodu prędkości wiatru. Wiatr i ciśnienie atmosferyczne Prędkość i kierunek wiatru: Mierzone w km/h lub mph, pochodzące z określonego kierunku (np. „Północny zachód z prędkością 24 km/h (15 mph)”). Porywy wiatru: Nagłe zwiększenie prędkości wiatru, często silniejsze niż stały wiatr. Ciśnienie atmosferyczne: Mierzone w hPa (hektopaskalach) lub calach słupa rtęci (inHg), wskazujące trendy pogodowe (np. rosnące ciśnienie sugeruje ładną pogodę, spadające ciśnienie wskazuje na burze). Wilgotność i widoczność Wilgotność: Procentowa zawartość wilgoci w powietrzu (wyższe wartości sprawiają, że powietrze wydaje się bardziej duszne). Punkt rosy: Temperatura, przy której tworzy się kondensacja, wpływająca na to, jak „lepkie” wydaje się powietrze. Widoczność: Mierzona w milach lub kilometrach, wskazująca, jak daleko można wyraźnie widzieć. Niska widoczność sugeruje mgłę, zamglenie lub intensywne opady. Indeks UV i ekspozycja na słońce Indeks UV: Zakres od 0-11+, z wyższymi wartościami wskazującymi na większe ryzyko promieniowania ultrafioletowego. Wschód i zachód słońca: Dokładne czasy początku i końca światła dziennego. Fazy księżyca: Obejmują Młody Księżyc, Pełnia Księżyca itp., wpływające na jasność nocą. Specjalne warunki pogodowe Mgła: Nisko wisząca chmura zmniejszająca widoczność. Zamglenie: Cząsteczki w powietrzu tworzące zamgloną atmosferę. Burze piaskowe: Silne wiatry niosące piasek lub pył, zmniejszające widoczność. Burze tropikalne i huragany: Cyklony z ulewnym deszczem, silnymi wiatrami i potencjalnymi falami sztormowymi. Fronty zimne i ciepłe: Granice między różnymi masami powietrza, powodujące zmiany pogody. Długoterminowe trendy pogodowe Prognoza 7-dniowa: Ogólny przegląd pogody na nadchodzący tydzień. Średnie klimatyczne: Długoterminowe oczekiwane temperatury i opady na podstawie danych historycznych. Zmiany sezonowe: Oczekiwane zmiany w wzorcach pogodowych (np. pora monsunowa, pora sucha, zimowe burze). Przykład pełnej prognozy na konkretny dzień Poniedziałek, 3 marca Poranek: Bezchmurnie, temperatura około 7°C (45°F). Lekki wiatr ze wschodu z prędkością 8 km/h (5 mph). Popołudnie: Rosnące zachmurzenie, częściowe zachmurzenie z maksymalną temperaturą 18°C (65°F). Wiatr południowy z prędkością 16-24 km/h (10-15 mph), porywy do 32 km/h (20 mph). Wilgotność 45%. Indeks UV 5. Wieczór: Przeważnie pochmurno z 30% szansą na lekkie opady deszczu. Temperatura spada do 10°C (50°F). Wiatr południowo-wschodni z prędkością 13 km/h (8 mph). Noc: Pochmurno z przelotnymi lekkimi opadami deszczu. Minimalna temperatura 6°C (42°F). Wiatr zmieniający kierunek na południowo-wschodni z prędkością 8-16 km/h (5-10 mph). Widoczność około 10 km (6 mil). Wilgotność 70%. Faza księżyca: Młody Księżyc, wschód księżyca o 7:39 rano. Himmelsbedingungen Klar: Keine Wolken, volle Sonnensicht. Überwiegend sonnig: Einige vereinzelte Wolken, aber überwiegend sonnig. Teilweise bewölkt: Eine Mischung aus Sonne und Wolken, etwa 30-50% Wolkenbedeckung. Überwiegend bewölkt: Mehr Wolken als Sonne, aber nicht komplett bedeckt. Bedeckt: Vollständige Wolkenbedeckung, keine sichtbare Sonne. Niederschlagsarten und Wahrscheinlichkeiten Regenwahrscheinlichkeit: Wahrscheinlichkeit von Niederschlag, meist in Prozent (z.B. 30% Regenwahrscheinlichkeit). Leichter Regen: Unterbrochener Regen, meist weniger als 2,5 mm pro Stunde (0,10 Zoll pro Stunde). Starker Regen: Anhaltender Regen, über 7,5 mm pro Stunde (0,30 Zoll pro Stunde). Gewitter: Stürme mit Blitzen, starkem Regen und möglichem Hagel. Schneeschauer: Leichter bis mäßiger Schneefall, typischerweise in Schauern. Gefrierender Regen: Regen, der bei Kontakt gefriert und eisige Oberflächen bildet. Temperatur und gefühlte Temperatur Tatsächliche Temperatur: Die gemessene Lufttemperatur. Gefühlte Temperatur: Angepasste Temperatur basierend auf Windchill oder Luftfeuchtigkeit. Höchst- und Tiefstwerte: Tägliche Maximal- und Minimaltemperaturen. Hitzeindex: Wie heiß es sich anfühlt, unter Berücksichtigung der Luftfeuchtigkeit. Windchill: Wie kalt es sich aufgrund der Windgeschwindigkeit anfühlt. Wind und Luftdruck Windgeschwindigkeit und -richtung: Gemessen in km/h oder mph, aus einer bestimmten Richtung (z.B. „Nordwest bei 24 km/h (15 mph)”). Windböen: Plötzliche Zunahme der Windgeschwindigkeit, oft stärker als der anhaltende Wind. Luftdruck: Gemessen in hPa (Hektopascal) oder Zoll Quecksilbersäule (inHg), zeigt Wettertrends an (z.B. steigender Druck deutet auf schönes Wetter hin, fallender Druck auf Stürme). Luftfeuchtigkeit und Sichtweite Luftfeuchtigkeit: Prozentuale Feuchtigkeit in der Luft (höhere Werte lassen die Luft schwüler erscheinen). Taupunkt: Die Temperatur, bei der Kondensation auftritt, beeinflusst, wie „klebrig“ die Luft sich anfühlt. Sichtweite: Gemessen in Meilen oder Kilometern, zeigt an, wie weit man klar sehen kann. Geringe Sichtweite deutet auf Nebel, Dunst oder starken Niederschlag hin. UV-Index und Sonneneinstrahlung UV-Index: Bereich von 0-11+, wobei höhere Werte ein höheres Risiko für ultraviolette Strahlung anzeigen. Sonnenaufgang und Sonnenuntergang: Genaue Zeiten für den Beginn und das Ende des Tageslichts. Mondphasen: Beinhaltet zunehmenden Halbmond, Vollmond usw., beeinflusst die Helligkeit in der Nacht. Besondere Wetterbedingungen Nebel: Tief hängende Wolke, die die Sichtweite verringert. Dunst: Luftpartikel, die eine verschwommene Atmosphäre erzeugen. Sandstürme: Starke Winde, die Sand oder Staub tragen und die Sichtweite verringern. Tropische Stürme und Hurrikane: Zyklonische Systeme mit starkem Regen, hohen Winden und möglichen Sturmfluten. Kalt- und Warmfronten: Grenzen zwischen verschiedenen Luftmassen, die Wetteränderungen verursachen. Langfristige Wettertrends 7-Tage-Vorhersage: Allgemeiner Wetterüberblick für die kommende Woche. Klimatische Durchschnittswerte: Langfristig erwartete Temperaturen und Niederschläge basierend auf historischen Daten. Saisonale Veränderungen: Erwartete Veränderungen in Wettermustern (z.B. Monsunzeit, Trockenzeit, Winterstürme). Beispiel einer vollständigen Vorhersage für einen bestimmten Tag Montag, 3. März Morgen: Heiter, Temperatur um 7°C (45°F). Leichte Brise aus Osten bei 8 km/h (5 mph). Nachmittag: Zunehmende Bewölkung, teilweise bewölkt mit einem Höchstwert von 18°C (65°F). Südwind bei 16-24 km/h (10-15 mph), Böen bis zu 32 km/h (20 mph). Luftfeuchtigkeit bei 45%. UV-Index 5. Abend: Überwiegend bewölkt mit einer 30%igen Chance auf leichten Regen. Temperatur sinkt auf 10°C (50°F). Südostwind bei 13 km/h (8 mph). Nacht: Bedeckt mit gelegentlichem leichtem Regen. Tiefsttemperatur von 6°C (42°F). Wind dreht auf Südost bei 8-16 km/h (5-10 mph). Sichtweite etwa 10 km (6 Meilen). Luftfeuchtigkeit bei 70%. Mondphase: Zunehmender Halbmond, Mondaufgang um 7:39 Uhr. Conditions du ciel Dégagé : Pas de nuages, visibilité totale du soleil. Majoritairement ensoleillé : Quelques nuages épars, mais principalement ensoleillé. Partiellement nuageux : Mélange de soleil et de nuages, environ 30-50 % de couverture nuageuse. Majoritairement nuageux : Plus de nuages que de soleil, mais pas totalement couvert. Couvert : Ciel totalement nuageux, aucun soleil visible. Types et probabilités de précipitations Risque de pluie : Probabilité de précipitations, généralement exprimée en pourcentage (ex. : 30 % de risque de pluie). Averses légères : Pluie intermittente, généralement moins de 2,5 mm par heure. Pluie forte : Précipitations continues, plus de 7,5 mm par heure. Orages : Tempêtes avec éclairs, fortes pluies et éventuellement grêle. Averses de neige : Chutes de neige légères à modérées, généralement par intermittence. Pluie verglaçante : Pluie gelant au contact du sol, créant une surface glacée. Température et ressenti Température réelle : Température de l'air mesurée. Température ressentie : Température ajustée en fonction du refroidissement éolien ou de l'humidité. Maxima et minima : Températures maximales et minimales quotidiennes. Indice de chaleur : Sensation de chaleur en tenant compte de l'humidité. Refroidissement éolien : Sensation de froid due à la vitesse du vent. Vent et pression atmosphérique Vitesse et direction du vent : Mesurée en km/h ou mph, venant d'une direction spécifique (ex. : « Nord-Ouest à 24 km/h »). Rafales de vent : Augmentations soudaines de la vitesse du vent, souvent plus fortes que le vent moyen. Pression barométrique : Mesurée en hPa ou pouces de mercure (inHg), indiquant les tendances météorologiques (ex. : pression en hausse = beau temps, pression en baisse = tempête). Humidité et visibilité Humidité : Pourcentage de l'humidité dans l'air (des valeurs élevées augmentent la sensation de moiteur). Point de rosée : Température à laquelle la condensation se forme, influençant la sensation de lourdeur de l'air. Visibilité : Mesurée en kilomètres ou miles, indiquant la distance à laquelle on peut voir clairement (faible visibilité = brouillard, brume, fortes précipitations). Indice UV et exposition solaire Indice UV : De 0 à 11+, des valeurs plus élevées indiquent un risque accru d'exposition aux rayons ultraviolets. Lever et coucher du soleil : Heures précises du début et de la fin de la lumière du jour. Phases de la lune : Comprend le croissant croissant, la pleine lune, etc., influençant la luminosité nocturne. Conditions météorologiques spéciales Brouillard : Nuages bas réduisant la visibilité. Brume : Particules en suspension créant une atmosphère floue. Tempêtes de poussière : Vents forts transportant du sable ou de la poussière, réduisant la visibilité. Tempêtes tropicales et ouragans : Systèmes cycloniques avec fortes pluies, vents violents et possibles marées de tempête. Fronts froids et chauds : Séparations entre masses d'air différentes, provoquant des changements météorologiques. Tendances des prévisions à long terme Prévisions sur 7 jours : Tendance générale du temps pour la semaine à venir. Moyennes climatiques : Températures et précipitations attendues sur la base des données historiques. Changements saisonniers : Variations attendues des conditions météorologiques (ex. : mousson, saison sèche, tempêtes hivernales). Exemple de prévision complète pour un jour donné Lundi 3 mars Matin : Ciel dégagé, température d’environ 7°C. Brise légère d'est à 8 km/h. Après-midi : Augmentation de la couverture nuageuse, partiellement nuageux avec un maximum de 18°C. Vent du sud à 16-24 km/h, rafales jusqu'à 32 km/h. Humidité : 45 %. Indice UV : 5. Soir : Majoritairement nuageux avec 30 % de risque d'averses légères. Température descendant à 10°C. Vents sud-sud-est à 13 km/h. Nuit : Ciel couvert avec pluie légère occasionnelle. Température minimale de 6°C. Vents passant au sud-est à 8-16 km/h. Visibilité : environ 10 km. Humidité : 70 %. Phase de la lune : Croissant croissant, lever de la lune à 07h39. Condizioni del cielo Sereno: Nessuna nuvola, piena visibilità del sole. Prevalentemente soleggiato: Alcune nuvole sparse, ma per lo più soleggiato. Parzialmente nuvoloso: Alternanza di sole e nuvole, copertura nuvolosa tra il 30% e il 50%. Prevalentemente nuvoloso: Più nuvole che sole, ma non completamente coperto. Coperto: Cielo completamente nuvoloso, nessun sole visibile. Tipi e probabilità di precipitazioni Possibilità di pioggia: Probabilità di precipitazioni, di solito espressa in percentuale (es. 30% di possibilità di pioggia). Rovesci leggeri: Pioggia intermittente, generalmente inferiore a 2,5 mm all'ora. Pioggia intensa: Precipitazioni continue, oltre 7,5 mm all'ora. Temporali: Tempeste con fulmini, piogge intense ed eventualmente grandine. Nevicate intermittenti: Nevicate leggere o moderate, di solito a intermittenza. Pioggia congelante: Pioggia che gela a contatto, creando superfici ghiacciate. Temperatura e percezione Temperatura effettiva: Temperatura dell'aria misurata. Temperatura percepita: Temperatura aggiustata in base al vento o all'umidità. Massime e minime: Temperature massime e minime giornaliere. Indice di calore: Sensazione di caldo considerando l'umidità. Vento gelido: Sensazione di freddo dovuta al vento. Esempio di previsione Lunedì 3 marzo Mattina: Cielo sereno, temperatura intorno ai 7°C. Brezza leggera da est a 8 km/h. Pomeriggio: Aumento della copertura nuvolosa, parzialmente nuvoloso con massima di 18°C. Vento da sud a 16-24 km/h, raffiche fino a 32 km/h. Umidità: 45%. Indice UV: 5. Sera: Prevalentemente nuvoloso con 30% di possibilità di pioggia leggera. Temperatura in calo a 10°C. Notte: Cielo coperto con occasionali piogge leggere. Temperatura minima di 6°C. Umidità: 70%. Fase lunare: Luna crescente, sorgere della luna alle 07:39. Condizioni del cielo Sereno: Nessuna nuvola, visibilità con sole pieno. Per lo più soleggiato: Alcune nuvole sparse, ma prevalentemente soleggiato. Parzialmente nuvoloso: Un mix di sole e nuvole, copertura nuvolosa del 30-50%. Per lo più nuvoloso: Più nuvole che sole, ma non completamente coperto. Coperto: Copertura nuvolosa totale, nessun sole visibile. Tipi di precipitazioni e probabilità Probabilità di pioggia: Probabilità di precipitazione, solitamente in percentuale (ad esempio, 30% di probabilità di pioggia). Rovesci leggeri: Pioggia intermittente, solitamente meno di 2,5 mm all'ora. Pioggia intensa: Pioggia costante, oltre 7,5 mm all'ora. Temporali: Temporali con fulmini, pioggia intensa e possibili grandinate. Rovesci di neve: Nevicata leggera o moderata, solitamente a tratti. Pioggia congelante: Pioggia che congela a contatto, creando superfici ghiacciate. Temperatura e sensazione Temperatura effettiva: La temperatura dell'aria registrata. Temperatura percepita: Temperatura corretta in base al vento o all'umidità. Massime e minime: Temperature massime e minime giornaliere. Indice di calore: Come si percepisce il calore, tenendo conto dell'umidità. Sensazione di freddo (wind chill): Come si percepisce il freddo a causa della velocità del vento. Vento e pressione atmosferica Velocità e direzione del vento: Misurata in km/h o mph, proveniente da una direzione specifica (ad esempio, "Nord-ovest a 24 km/h"). Raffiche di vento: Aumenti improvvisi della velocità del vento, spesso più forti del vento costante. Pressione barometrica: Misurata in hPa (ettopascal) o pollici di mercurio (inHg), che indica le tendenze meteorologiche (ad esempio, pressione crescente suggerisce bel tempo, pressione in calo indica temporali). Umidità e visibilità Umidità: Percentuale di umidità nell'aria (valori più alti la rendono più afosa). Punto di rugiada: La temperatura alla quale si forma la condensazione, influenzando quanto l'aria risulta appiccicosa. Visibilità: Misurata in miglia o chilometri, che indica quanto lontano si può vedere chiaramente. Bassa visibilità suggerisce nebbia, foschia o precipitazioni intense. Indice UV e esposizione al sole Indice UV: Va da 0 a 11+, con valori più alti che indicano un rischio maggiore di radiazione ultravioletta. Alba e tramonto: Orari esatti dell'inizio e della fine della luce diurna. Fasi lunari: Include Luna Crescente, Luna Piena, ecc., che influenzano la luminosità notturna. Condizioni meteorologiche speciali Nebbia: Nuvola bassa che riduce la visibilità. Foschia: Particelle sospese nell'aria che creano un'atmosfera sfocata. Tempeste di polvere: Forti venti che sollevano sabbia o polvere, riducendo la visibilità. Tempeste tropicali e uragani: Sistemi ciclonici con pioggia intensa, venti forti e possibili onde di tempesta. Fronte caldo e freddo: Confini tra masse d'aria diverse, che causano cambiamenti meteorologici. Previsioni meteo a lungo termine Previsioni a 7 giorni: Previsioni generali per la settimana successiva. Medie climatiche: Temperature e precipitazioni previste a lungo termine in base ai dati storici. Cambiamenti stagionali: Variazioni previste nei modelli meteorologici (ad esempio, stagione dei monsoni, stagione secca, tempeste invernali). Esempio di previsione completa per un giorno specifico Lunedì, 3 marzo Mattina: Cielo sereno, temperatura intorno a 7°C. Brezza leggera da est a 8 km/h. Pomeriggio: Aumento della copertura nuvolosa, parzialmente nuvoloso con un massimo di 18°C. Vento da sud a 16-24 km/h, raffiche fino a 32 km/h. Umidità al 45%. Indice UV 5. Sera: Per lo più nuvoloso con il 30% di probabilità di rovesci leggeri. Temperatura scende a 10°C. Venti da sud-est a 13 km/h. Notte: Coperto con occasionali leggeri rovesci di pioggia. Temperatura minima di 6°C. Venti da sud-est a 8-16 km/h. Visibilità circa 10 km. Umidità al 70%. Fase lunare: Luna Crescente, luna piena alle 7:39 AM. Condiciones del cielo Despejado: No hay nubes, visibilidad con sol completo. Mayormente soleado: Algunas nubes dispersas, pero predominantemente soleado. Parcialmente nublado: Una mezcla de sol y nubes, con una cobertura de nubes del 30-50%. Mayormente nublado: Más nubes que sol, pero no completamente cubierto. Cubierto: Cubierta total de nubes, sin sol visible. Tipos de precipitaciones y probabilidades Probabilidad de lluvia: Probabilidad de precipitación, generalmente en porcentaje (por ejemplo, 30% de probabilidad de lluvia). Lluvias ligeras: Lluvia intermitente, generalmente menos de 2,5 mm por hora. Lluvia fuerte: Lluvia constante, más de 7,5 mm por hora. Tormentas eléctricas: Tormentas con rayos, lluvia fuerte y posiblemente granizo. Rovescos de nieve: Nieve ligera o moderada, generalmente en ráfagas. Lluvia congelante: Lluvia que se congela al contacto, creando superficies heladas. Temperatura y sensación Temperatura real: La temperatura del aire registrada. Temperatura que se siente: Temperatura ajustada en función del viento o la humedad. Máximas y mínimas: Temperaturas máximas y mínimas diarias. Índice de calor: Qué tan caluroso se siente, considerando la humedad. Sensación térmica por viento: Qué tan frío se siente debido a la velocidad del viento. Viento y presión atmosférica Velocidad y dirección del viento: Medida en km/h o mph, proveniente de una dirección específica (por ejemplo, "Noroeste a 24 km/h"). Rafagas de viento: Aumentos repentinos en la velocidad del viento, generalmente más fuertes que el viento constante. Presión barométrica: Medida en hPa (hectopascales) o pulgadas de mercurio (inHg), que indica las tendencias meteorológicas (por ejemplo, una presión creciente sugiere buen tiempo, una presión en descenso indica tormentas). Humedad y visibilidad Humedad: Porcentaje de humedad en el aire (valores más altos hacen que se sienta más bochornoso). Punto de rocío: La temperatura a la cual se forma la condensación, lo que afecta la sensación de "pegajosidad" del aire. Visibilidad: Medida en millas o kilómetros, que indica qué tan lejos se puede ver claramente. Baja visibilidad sugiere niebla, neblina o precipitaciones intensas. Índice UV y exposición al sol Índice UV: Va de 0 a 11+, con valores más altos que indican un mayor riesgo de radiación ultravioleta. Amanecer y atardecer: Horarios exactos del inicio y final de la luz del día. Fases lunares: Incluye Luna Creciente, Luna Llena, etc., que afectan la luminosidad nocturna. Condiciones climáticas especiales Niebla: Nube baja que reduce la visibilidad. Bruma: Partículas suspendidas en el aire que crean una atmósfera borrosa. Tormentas de polvo: Vientos fuertes que levantan arena o polvo, reduciendo la visibilidad. Tormentas tropicales y huracanes: Sistemas ciclónicos con lluvia intensa, vientos fuertes y posibles oleajes. Fronteras frías y cálidas: Límites entre diferentes masas de aire, lo que causa cambios climáticos. Tendencias de pronóstico extendido Pronóstico a 7 días: Perspectivas meteorológicas generales para la próxima semana. Promedios climáticos: Temperaturas y precipitaciones esperadas a largo plazo según los datos históricos. Cambios estacionales: Variaciones esperadas en los patrones meteorológicos (por ejemplo, temporada de monzones, temporada seca, tormentas invernales). Ejemplo de pronóstico completo para un día específico Lunes, 3 de marzo Mañana: Cielo despejado, temperatura alrededor de 7°C. Brisa ligera desde el este a 8 km/h. Tarde: Aumento de la cobertura nubosa, parcialmente nublado con una máxima de 18°C. Viento del sur a 16-24 km/h, ráfagas hasta 32 km/h. Humedad al 45%. Índice UV 5. Noche: Mayormente nublado con un 30% de probabilidad de lluvias ligeras. Temperatura baja a 10°C. Vientos del sur-sureste a 13 km/h. Noche: Cubierto con lluvias ligeras ocasionales. Temperatura mínima de 6°C. Vientos cambiando al sureste a 8-16 km/h. Visibilidad de aproximadamente 10 km. Humedad al 70%. Fase lunar: Luna Creciente, salida de la luna a las 7:39 AM. आसमान की स्थिति स्पष्ट: कोई बादल नहीं, पूरी धूप की दृश्यता। अधिकांशत: धूप: कुछ बिखरे हुए बादल, लेकिन मुख्य रूप से धूप। आंशिक रूप से बादल: सूरज और बादलों का मिश्रण, लगभग 30-50% बादल कवर। अधिकांशत: बादल: सूरज से अधिक बादल, लेकिन पूरी तरह से आच्छादित नहीं। आच्छादित: पूर्ण रूप से बादल से आच्छादित, कोई दिखाई देने वाली धूप नहीं। वृष्टि प्रकार और संभावनाएं बारिश की संभावना: वर्षा की संभावना, आम तौर पर प्रतिशत में (उदाहरण के लिए, 30% बारिश की संभावना)। हल्की बौछारें: रुक-रुक कर बारिश, आमतौर पर प्रति घंटे 2.5 मिमी से कम (0.10 इंच प्रति घंटे)। भारी बारिश: लगातार बारिश, प्रति घंटे 7.5 मिमी से अधिक (0.30 इंच प्रति घंटे)। आंधी-तूफान: तूफान जिसमें बिजली, भारी बारिश और संभवतः ओलावृष्टि होती है। हवाएँ बर्फ़बारी: हल्की से मध्यम बर्फबारी, आमतौर पर उछाल के रूप में। जमने वाली बारिश: बारिश जो संपर्क में आते ही जम जाती है, जिससे बर्फीली सतहें बन जाती हैं। तापमान और अहसास वास्तविक तापमान: दर्ज की गई हवा का तापमान। महसूस होने वाला तापमान: हवा के ठंडक या आर्द्रता के आधार पर समायोजित तापमान। उच्चतम और न्यूनतम: दैनिक अधिकतम और न्यूनतम तापमान। हीट इंडेक्स: यह कितना गर्म लगता है, आर्द्रता को ध्यान में रखते हुए। विंड चिल: यह कितना ठंडा लगता है, हवा की गति के कारण। हवा और वायुमंडलीय दबाव हवा की गति और दिशा: किलोमीटर प्रति घंटे (km/h) या मील प्रति घंटे (mph) में मापी गई, एक विशिष्ट दिशा से (उदाहरण के लिए, "उत्तर-पश्चिम 24 km/h (15 mph)"). हवा की रफ़्तार: हवा की गति में अचानक वृद्धि, जो अक्सर स्थिर हवा से अधिक होती है। बारोमीटर दबाव: हेक्टोपास्कल (hPa) या पारा की इंच (inHg) में मापी गई, जो मौसम की प्रवृत्तियों को दर्शाती है (उदाहरण के लिए, बढ़ता दबाव अच्छा मौसम सुझाता है, गिरता दबाव तूफानों को सूचित करता है)। आर्द्रता और दृश्यता आर्द्रता: हवा में नमी का प्रतिशत (उच्च मान इसे और अधिक बोझिल बना देता है)। ओस बिंदु: वह तापमान जिस पर संघनन बनता है, जिससे हवा की "चिपचिपाहट" प्रभावित होती है। दृश्यता: मील या किलोमीटर में मापी गई, यह संकेत करती है कि आप कितनी दूर तक स्पष्ट रूप से देख सकते हैं। कम दृश्यता का मतलब है कि धुंआ, कुहासा या भारी वृष्टि हो सकती है। यूवी इंडेक्स और सूर्य के संपर्क यूवी इंडेक्स: 0-11+ तक होता है, जिसमें उच्च मान अधिक मजबूत पराबैंगनी विकिरण जोखिम को दर्शाते हैं। सूर्योदय और सूर्यास्त: दिन के आरंभ और अंत के लिए सटीक समय। चंद्रमा की अवस्थाएँ: इसमें बढ़ता हुआ अर्धचंद्र, पूर्णिमा आदि शामिल हैं, जो रात की चमक को प्रभावित करते हैं। विशेष मौसम स्थितियाँ कोहरा: निचली बादल जो दृश्यता को कम कर देती है। हवा: हवा में लटकी हुई कण जो एक धुंधली माहौल बना देते हैं। धूल भरी आंधी: उच्च हवाएँ जो रेत या धूल को उड़ाती हैं, जिससे दृश्यता घट जाती है। उष्णकटिबंधीय तूफान और हरिकेन: चक्रीय प्रणालियाँ जिनमें भारी बारिश, तेज़ हवाएँ और संभावित तूफानी लहरें होती हैं। ठंडे और गर्म मोर्चे: विभिन्न वायुराशियों के बीच सीमाएं, जो मौसम में बदलाव का कारण बनती हैं। विस्तारित पूर्वानुमान प्रवृत्तियाँ 7-दिन का पूर्वानुमान: आगामी सप्ताह के लिए सामान्य मौसम दृष्टिकोण। जलवायु औसत: ऐतिहासिक डेटा के आधार पर दीर्घकालिक अपेक्षित तापमान और वर्षा। मौसमीय परिवर्तन: मौसम पैटर्न में अपेक्षित परिवर्तन (जैसे, मानसून सीजन, सूखा सीजन, सर्दी के तूफान)। विशिष्ट दिन के लिए एक पूर्ण पूर्वानुमान का उदाहरण सोमवार, 3 मार्च सुबह: साफ आकाश, तापमान लगभग 7°C (45°F)। हल्की बreeze 8 km/h (5 mph) से पूर्व से। दोपहर: बादल कवर में वृद्धि, आंशिक रूप से बादल, अधिकतम तापमान 18°C (65°F)। दक्षिणी हवाएँ 16-24 km/h (10-15 mph), रफ़्तार 32 km/h (20 mph) तक। आर्द्रता 45%। यूवी इंडेक्स 5। शाम: अधिकांशतः बादल, हल्की बारिश की 30% संभावना। तापमान गिरकर 10°C (50°F) हो जाता है। हवाएँ दक्षिण-पूर्वी 13 km/h (8 mph)। रात: आच्छादित, कभी-कभी हल्की बारिश। न्यूनतम तापमान 6°C (42°F)। हवाएँ दक्षिण-पूर्वी 8-16 km/h (5-10 mph) में बदल रही हैं। दृश्यता लगभग 10 किमी (6 मील)। आर्द्रता 70%। चंद्रमा की अवस्था: बढ़ता हुआ अर्धचंद्र, चंद्रमा का उदय 7:39 AM। حالات السماء صافي: لا يوجد سحب، رؤية الشمس بالكامل. غالباً مشمس: بعض السحب المتناثرة، ولكن الشمس سائدة. غائم جزئياً: مزيج من الشمس والسحب، حوالي 30-50% من التغطية السحابية. غالباً غائم: المزيد من السحب من الشمس، ولكن ليس غائماً بالكامل. غائم كلياً: تغطية سحابية كاملة، لا توجد شمس مرئية. أنواع الأمطار والفرص فرصة هطول الأمطار: احتمالية هطول الأمطار، عادةً بالنسب المئوية (على سبيل المثال، 30% فرصة هطول الأمطار). زخات خفيفة: أمطار متقطعة، عادة أقل من 2.5 مم في الساعة (0.10 بوصة في الساعة). أمطار غزيرة: أمطار مستمرة، أكثر من 7.5 مم في الساعة (0.30 بوصة في الساعة). عواصف رعدية: عواصف مع البرق، أمطار غزيرة، وربما برد. زخات ثلجية: تساقط ثلوج خفيفة إلى معتدلة، عادة في دفعات. أمطار متجمدة: أمطار تتجمد عند ملامستها، مما يخلق أسطحاً جليدية. درجة الحرارة والإحساس درجة الحرارة الفعلية: درجة حرارة الهواء المسجلة. درجة الحرارة المحسوسة: درجة الحرارة المعدلة بناءً على تأثير الرياح أو الرطوبة. أعلى وأدنى: درجات الحرارة القصوى والدنيا اليومية. مؤشر الحرارة: مقدار الحرارة التي يشعر بها الشخص، مع مراعاة الرطوبة. شعور بالبرد: مقدار البرد الذي يشعر به الشخص نتيجة سرعة الرياح. الرياح والضغط الجوي سرعة الرياح واتجاهها: تقاس بالكيلومترات في الساعة أو الأميال في الساعة، قادمة من اتجاه معين (على سبيل المثال، "شمال غرب بسرعة 24 كم/ساعة (15 ميل/ساعة)"). الرياح العاتية: زيادة مفاجئة في سرعة الرياح، غالباً ما تكون أقوى من الرياح المستمرة. الضغط الجوي: يقاس بوحدات الهكتوباسكال (hPa) أو بوصات الزئبق (inHg)، مما يشير إلى اتجاهات الطقس (على سبيل المثال، زيادة الضغط تشير إلى طقس جيد، انخفاض الضغط يشير إلى عواصف). الرطوبة والرؤية الرطوبة: نسبة الرطوبة في الهواء (القيم العالية تجعل الجو أكثر رطوبة). نقطة الندى: درجة الحرارة التي يتشكل عندها التكثف، مما يؤثر على شعور الهواء "باللزاجة". الرؤية: تقاس بالأميال أو الكيلومترات، مما يشير إلى المسافة التي يمكن رؤيتها بوضوح. الرؤية المنخفضة تشير إلى وجود ضباب أو ضباب خفيف أو هطول أمطار غزيرة. مؤشر الأشعة فوق البنفسجية والتعرض للشمس مؤشر الأشعة فوق البنفسجية: يتراوح من 0 إلى 11+، مع قيم أعلى تشير إلى خطر أقوى من الأشعة فوق البنفسجية. شروق الشمس وغروبها: الأوقات الدقيقة لبداية ونهاية الضوء اليومي. أطوار القمر: تشمل الهلال المتزايد، والقمر الكامل، وغيرها، مما يؤثر على سطوع الليل. حالات الطقس الخاصة الضباب: سحب منخفضة تقلل من الرؤية. الهباء الجوي: الجسيمات المحمولة جواً التي تخلق جوًا ضبابيًا. عواصف رملية: رياح قوية تحمل الرمال أو الغبار، مما يقلل من الرؤية. العواصف الاستوائية والأعاصير: أنظمة دوارة مع أمطار غزيرة، رياح قوية، وارتفاعات عاصفية محتملة. الجبهات الباردة والدافئة: الحدود بين كتل الهواء المختلفة، مما يسبب تغيرات في الطقس. اتجاهات التنبؤ الموسعة تنبؤ لمدة 7 أيام: النظرة العامة للطقس في الأسبوع المقبل. متوسطات المناخ: درجات الحرارة المتوقعة وهطول الأمطار على المدى الطويل بناءً على البيانات التاريخية. التغيرات الموسمية: التغيرات المتوقعة في أنماط الطقس (على سبيل المثال، موسم الرياح الموسمية، موسم الجفاف، عواصف الشتاء). مثال على التنبؤ الكامل ليوم معين الاثنين، 3 مارس الصباح: سماء صافية، درجة الحرارة حوالي 7°C (45°F). نسيم خفيف من الشرق بسرعة 8 كم/ساعة (5 ميل/ساعة). الظهر: زيادة في السحب، غائم جزئيًا مع درجة حرارة عالية 18°C (65°F). رياح جنوبية من 16-24 كم/ساعة (10-15 ميل/ساعة)، هبات تصل إلى 32 كم/ساعة (20 ميل/ساعة). الرطوبة 45%. مؤشر الأشعة فوق البنفسجية 5. المساء: غائم جزئياً مع فرصة 30% لهطول أمطار خفيفة. درجة الحرارة تنخفض إلى 10°C (50°F). رياح من الجنوب-الجنوب الشرقي بسرعة 13 كم/ساعة (8 ميل/ساعة). الليل: غائم مع أمطار خفيفة متقطعة. درجة الحرارة الدنيا 6°C (42°F). الرياح تتحول إلى الجنوب الشرقي بسرعة 8-16 كم/ساعة (5-10 ميل/ساعة). الرؤية حوالي 10 كم (6 أميال). الرطوبة 70%. مرحلة القمر: الهلال المتزايد، شروق القمر في الساعة 7:39 صباحًا. Condições do Céu Claro: Sem nuvens, visibilidade total do sol. Maioritariamente Ensolarado: Algumas nuvens dispersas, mas predominantemente ensolarado. Parcialmente Nublado: Uma mistura de sol e nuvens, com cerca de 30-50% de cobertura de nuvens. Maioritariamente Nublado: Mais nuvens do que sol, mas não completamente nublado. Nublado: Cobertura total de nuvens, sem sol visível. Tipos de Precipitação & Chances Chance de Chuva: Probabilidade de precipitação, geralmente em porcentagens (por exemplo, 30% de chance de chuva). Chuvas Leves: Chuva intermitente, geralmente menos de 2,5 mm por hora (0,10 polegadas por hora). Chuva Forte: Chuva consistente, acima de 7,5 mm por hora (0,30 polegadas por hora). Tempestades com Trovoada: Tempestades com relâmpagos, chuva forte e possível granizo. Chuvas de Neve: Neve leve a moderada, geralmente em rajadas. Chuva Congelante: Chuva que congela ao entrar em contato, criando superfícies geladas. Temperatura & Sensação Temperatura Real: A temperatura do ar registrada. Temperatura Aparente: Temperatura ajustada com base no resfriamento pelo vento ou umidade. Máximas & Mínimas: Temperaturas máximas e mínimas diárias. Índice de Calor: Sensação de calor, considerando a umidade. Sensação Térmica: Sensação de frio devido à velocidade do vento. Vento & Pressão Atmosférica Velocidade e Direção do Vento: Medido em km/h ou mph, vindo de uma direção específica (por exemplo, "Noroeste a 24 km/h (15 mph)"). Rajadas de Vento: Aumentos súbitos na velocidade do vento, frequentemente mais fortes do que o vento constante. Pressão Barométrica: Medido em hPa (hectopascais) ou polegadas de mercúrio (inHg), indicando tendências meteorológicas (por exemplo, aumento da pressão sugere bom tempo, diminuição da pressão indica tempestades). Umidade & Visibilidade Umidade: Percentual de umidade no ar (valores mais altos tornam o ambiente mais abafado). Ponto de Orvalho: A temperatura em que a condensação se forma, afetando como o ar se sente "pegajoso". Visibilidade: Medida em milhas ou quilômetros, indicando a distância que você pode ver claramente. Visibilidade baixa sugere nevoeiro, névoa ou precipitação intensa. Índice UV & Exposição ao Sol Índice UV: Vai de 0 a 11+, com valores mais altos indicando maior risco de radiação ultravioleta. Nascer e Pôr do Sol: Horários exatos do início e fim da luz do dia. Fases da Lua: Inclui Lua Crescente, Lua Cheia, etc., afetando o brilho da noite. Condições Meteorológicas Especiais Nevoeiro: Nuvens baixas que reduzem a visibilidade. Bruma: Partículas suspensas no ar que criam uma atmosfera borrada. Tempestades de Poeira: Ventos fortes carregando areia ou poeira, reduzindo a visibilidade. Tempestades Tropicais & Furacões: Sistemas ciclônicos com chuva forte, ventos fortes e possíveis ressacas de tempestade. Frentes Frias & Quentes: Limites entre diferentes massas de ar, causando mudanças climáticas. Tendências de Previsão Estendida Previsão para 7 Dias: Perspectiva geral do clima para a semana seguinte. Médias Climáticas: Temperaturas e precipitação esperadas a longo prazo com base em dados históricos. Mudanças Sazonais: Variações esperadas nos padrões climáticos (por exemplo, estação das monções, estação seca, tempestades de inverno). Exemplo de Previsão Completa para um Dia Específico Segunda-feira, 3 de Março Manhã: Céu limpo, temperatura em torno de 7°C (45°F). Brisa leve do leste a 8 km/h (5 mph). Tarde: Aumento da cobertura de nuvens, parcialmente nublado, com temperatura máxima de 18°C (65°F). Vento do sul entre 16-24 km/h (10-15 mph), rajadas até 32 km/h (20 mph). Umidade de 45%. Índice UV 5. Noite: Maioritariamente nublado, com 30% de chance de chuvas leves. Temperatura cai para 10°C (50°F). Vento do sul-sudeste a 13 km/h (8 mph). Noite Tarde: Nublado com chuvas leves ocasionais. Temperatura mínima de 6°C (42°F). Vento mudando para sudeste a 8-16 km/h (5-10 mph). Visibilidade de cerca de 10 km (6 milhas). Umidade a 70%. Fase da Lua: Lua Crescente, nascer da lua às 7:39 AM. 空の状態 晴れ: 雲がなく、完全な太陽の視認性。 ほぼ晴れ: 散発的な雲があるが、主に晴れている。 部分的に曇り: 太陽と雲が混ざり合い、約30-50%の雲の覆い。 ほぼ曇り: 太陽よりも多くの雲があるが、完全に曇っているわけではない。 曇り: 完全に雲に覆われており、太陽は見えない。 降水タイプと確率 雨の確率: 降水の確率、通常はパーセンテージで表示（例: 30%の雨の確率）。 小雨: 断続的な雨、通常は1時間あたり2.5mm未満（0.10インチ未満）。 大雨: 継続的な降雨、1時間あたり7.5mm以上（0.30インチ以上）。 雷雨: 雷を伴う嵐、大雨、そして時には雹が降ることがある。 雪の降雨: 軽度から中程度の雪、通常は突発的に降る。 凍結雨: 接触時に凍結する雨、氷の表面を作る。 気温と感覚 実際の気温: 記録された空気の温度。 体感温度: 風の冷たさや湿度に基づいて調整された温度。 最高・最低気温: 毎日の最高気温と最低気温。 暑さ指数: 湿度を考慮した体感温度。 風の冷たさ: 風速によって感じる寒さ。 風と大気圧 風速と方向: km/hまたはmphで測定され、特定の方向から吹く風（例：「北西24 km/h（15 mph）」）。 風の突風: 突然風速が増加することがあり、持続的な風よりも強いことが多い。 気圧: hPa（ヘクトパスカル）またはインチ水銀柱（inHg）で測定され、気象傾向を示す（例: 気圧が上昇すると良い天気、下降すると嵐の兆し）。 湿度と視界 湿度: 空気中の水分の割合（高い値ほど湿気を感じやすい）。 露点: 結露が発生する温度、空気の「べたつき」を感じるかどうかに影響を与える。 視界: 距離を示し、明確に見える範囲。視界が低い場合は霧、もや、または激しい降水が示唆される。 UV指数と日光の曝露 UV指数: 0〜11+の範囲で、数値が高いほど強い紫外線リスクを示す。 日の出と日没: 日光の始まりと終わりの正確な時間。 月の位相: 三日月、満月など、夜間の明るさに影響を与える。 特別な気象条件 霧: 視界を減少させる低く垂れ下がった雲。 霞: 空気中の粒子がぼやけた雰囲気を作り出す。 砂嵐: 風が砂やほこりを運び、視界を減少させる。 熱帯低気圧とハリケーン: 強い雨、風、そして可能性のある嵐の高潮を伴うサイクロンシステム。 寒冷前線と温暖前線: 異なる空気の塊間の境界で、天候の変化を引き起こす。 拡張予報の傾向 7日間の予報: 次の週の天気の概要。 気候平均: 過去のデータに基づいた長期的な予想気温と降水量。 季節の変化: 予想される天候パターンの変動（例: モンスーン、乾季、冬の嵐）。 特定の日の完全な予報の例 月曜日、3月3日 朝: 晴れた空、気温約7°C（45°F）。東からの軽い風、8 km/h（5 mph）。 午後: 雲のカバーが増加、部分的に曇り、最高気温18°C（65°F）。南の風、16-24 km/h（10-15 mph）、突風最大32 km/h（20 mph）。湿度45%。UV指数5。 夕方: ほぼ曇り、軽い雨の可能性30%。気温10°C（50°F）。南東の風、13 km/h（8 mph）。 夜: 曇り時々軽い雨。最低気温6°C（42°F）。風は東南東に変わり、8-16 km/h（5-10 mph）。視界は約10 km（6マイル）。湿度70%。 月の位相: 三日月、月の出7:39 AM。 Himmelforhold Klar: Ingen skyer, full solsynlighet. For det meste solfylt: Noen spredte skyer, men for det meste solfylt. Delvis skyet: En blanding av sol og skyer, rundt 30-50% skydekke. For det meste skyet: Mer skyer enn sol, men ikke helt overskyet. Overskyet: Fullt skydekke, ingen synlig sol. Nedbørstyper og sannsynlighet Sjans for regn: Sannsynlighet for nedbør, vanligvis i prosent (f.eks., 30% sjanse for regn). Lettere regnbyger: Intermitterende regn, vanligvis mindre enn 2,5 mm per time (0,10 tommer per time). Kraftig regn: Vedvarende regn, mer enn 7,5 mm per time (0,30 tommer per time). Tordenstormer: Stormer med lyn, kraftig regn og muligens hagl. Snøbyger: Lett til moderat snøfall, vanligvis i korte perioder. Frysende regn: Regn som fryser ved kontakt, og danner isete overflater. Temperatur og følelse Faktisk temperatur: Den målte lufttemperaturen. Føles som temperatur: Justert temperatur basert på vindkulde eller luftfuktighet. Høyeste og laveste temperaturer: Daglige maksimums- og minimumstemperaturer. Hetemåler: Hvordan det føles varmt, med tanke på luftfuktigheten. Vindkulde: Hvor kaldt det føles på grunn av vindhastigheten. Vind og atmosfærisk trykk Vindhastighet og retning: Måles i km/t eller mph, kommer fra en spesifikk retning (f.eks. "Nordvestlig vind på 24 km/t (15 mph)"). Vindkast: Plutselige økninger i vindhastighet, ofte sterkere enn den vedvarende vinden. Barometrisk trykk: Måles i hPa (hektopascal) eller tommer kvikksølv (inHg), og viser værtrender (f.eks. stigende trykk tyder på godt vær, synkende trykk tyder på storm). Luftfuktighet og sikt Luftfuktighet: Prosentandel fuktighet i luften (høyere verdier gjør det mer klamt). Duggpunkt: Temperaturen der kondensasjon dannes, noe som påvirker hvor "klissete" luften føles. Sikt: Måles i miles eller kilometer, og viser hvor langt du kan se tydelig. Lav sikt tyder på tåke, dis eller kraftig nedbør. UV-indeks og solbeskyttelse UV-indeks: Spenner fra 0-11+, med høyere verdier som indikerer sterkere ultrafiolett strålingsrisiko. Soloppgang og solnedgang: Nøyaktige tider for starten og slutten av dagslys. Månefaser: Inkluderer voksende halvmåne, fullmåne, etc., som påvirker nattens lysstyrke. Spesielle værforhold Tåke: Lavt hengende skyer som reduserer sikten. Dis: Luftbårne partikler som skaper en uklar atmosfære. Sandstormer: Sterk vind som bærer sand eller støv, og reduserer sikten. Tropiske stormer og orkaner: Sykloniske systemer med kraftig regn, sterk vind og mulige stormfloer. Kald- og varmfront: Grensene mellom ulike luftmasser som forårsaker værforandringer. Utvidede prognosetrender 7-dagers værmelding: Generell værutsikt for den kommende uken. Klimagjennomsnitt: Langsiktige forventede temperaturer og nedbør basert på historiske data. Sesongmessige endringer: Forventede variasjoner i værmønstre (f.eks., monsun, tørrsesong, vinterstormer). Eksempel på en fullstendig prognose for en spesifikk dag Mandag, 3. mars Morgen: Klar himmel, temperatur rundt 7°C (45°F). Lett bris fra øst på 8 km/t (5 mph). Ettermiddag: Økende skydekke, delvis skyet med en høyde på 18°C (65°F). Sørvind på 16-24 km/t (10-15 mph), vindkast opp til 32 km/t (20 mph). Luftfuktighet på 45%. UV-indeks 5. Kveld: For det meste skyet med 30% sjanse for lette regnbyger. Temperatur synker til 10°C (50°F). Sør-sørøstlig vind på 13 km/t (8 mph). Natt: Overskyet med sporadiske lette regnbyger. Lav temperatur på 6°C (42°F). Vind skifter mot sørøst på 8-16 km/t (5-10 mph). Sikt rundt 10 km (6 miles). Luftfuktighet på 70%. Månefase: Voksende halvmåne, måneoppgang kl. 07:39. Himmelsförhållanden Klar: Inga moln, full solsynlighet. För det mesta soligt: Några spridda moln, men för det mesta soligt. Delvis molnigt: En blandning av sol och moln, cirka 30-50% molntäcke. För det mesta molnigt: Fler moln än sol, men inte helt överskyet. Överskyet: Fullt molntäcke, ingen synlig sol. Nedbördstyper och sannolikheter Chans för regn: Sannolikhet för nederbörd, vanligtvis i procent (t.ex. 30% chans för regn). Lätta regnskurar: Intermittent regn, vanligtvis mindre än 2,5 mm per timme (0,10 tum per timme). Kraftigt regn: Konstant regn, över 7,5 mm per timme (0,30 tum per timme). Åskväder: Stormar med blixt, kraftigt regn och möjligtvis hagel. Snöbyar: Lätt till måttlig snöfall, vanligtvis i perioder. Frysande regn: Regn som fryser vid kontakt, vilket skapar isiga ytor. Temperatur och känsla Faktisk temperatur: Den uppmätta lufttemperaturen. Känns som temperatur: Justerad temperatur baserat på vindchill eller luftfuktighet. Högsta och lägsta temperaturer: Dagliga maximala och minimala temperaturer. Heta index: Hur varmt det känns med tanke på luftfuktigheten. Vindchill: Hur kallt det känns beroende på vindhastigheten. Vind och atmosfärstryck Vindhastighet och riktning: Mätt i km/h eller mph, kommer från en specifik riktning (t.ex. "Nordvästlig vind på 24 km/h (15 mph)"). Vindbyar: Plötsliga ökningar av vindhastigheten, ofta starkare än den hållbara vinden. Barometriskt tryck: Mätt i hPa (hektopascal) eller tum kvicksilver (inHg), indikerar vädertrender (t.ex. stigande tryck tyder på klart väder, fallande tryck indikerar stormar). Luftfuktighet och sikt Luftfuktighet: Procentuell mängd fukt i luften (högre värden gör att det känns mer kvavt). Daggpunkt: Temperaturen vid vilken kondensation bildas, vilket påverkar hur "klibbig" luften känns. Sikt: Mätt i miles eller kilometer, anger hur långt du kan se tydligt. Låg sikt tyder på dimma, dis eller kraftig nederbörd. UV-index och solskydd UV-index: Spänner från 0-11+, med högre värden som indikerar en starkare risk för ultraviolett strålning. Soluppgång och solnedgång: Exakta tider för början och slut på dagsljuset. Månfaser: Inkluderar Vaxande måne, Fullmåne, etc., som påverkar nattens ljusstyrka. Speciella väderförhållanden Dimma: Låg hängande moln som reducerar sikten. Dis: Luftburna partiklar som skapar en suddig atmosfär. Sandstormar: Höga vindar som bär sand eller damm, vilket reducerar sikten. Tropiska stormar och orkaner: Cykloniska system med kraftigt regn, höga vindar och potentiella stormfloder. Kall- och varmfront: Gränser mellan olika luftmassor som orsakar väderförändringar. Förlängda prognostrend 7-dagars väderprognos: Allmän väderutsikt för den kommande veckan. Klimatagennomsnitt: Förväntade långsiktiga temperaturer och nederbörd baserat på historiska data. Säsongsförändringar: Förväntade variationer i vädermönster (t.ex. monsun, torrperiod, vinterstormar). Exempel på en komplett väderprognos för en specifik dag Måndag, 3 mars Morgon: Klart väder, temperatur runt 7°C (45°F). Lätt bris från öst på 8 km/h (5 mph). Eftermiddag: Ökat molntäcke, delvis molnigt med en högsta temperatur på 18°C (65°F). Sydlig vind på 16-24 km/h (10-15 mph), vindbyar upp till 32 km/h (20 mph). Luftfuktighet på 45%. UV-index 5. Kväll: Mest molnigt med 30% chans för lätta regnskurar. Temperaturen sjunker till 10°C (50°F). Vindar från syd-sydost på 13 km/h (8 mph). Natt: Överskyet med sporadiska lätta regnbyar. Låg temperatur på 6°C (42°F). Vindar skiftar mot sydost på 8-16 km/h (5-10 mph). Sikt runt 10 km (6 miles). Luftfuktighet på 70%. Månfase: Vaxande måne, månen går upp klockan 07:39. Hemelomstandigheden Helder: Geen wolken, volledige zonzichtbaarheid. Meestal zonnig: Een paar verspreide wolken, maar overwegend zonnig. Deels bewolkt: Een mix van zon en wolken, ongeveer 30-50% bewolking. Meestal bewolkt: Meer wolken dan zon, maar niet volledig bewolkt. Bewolkt: Volledige bewolking, geen zichtbare zon. Neerslagtypen en kansen Kans op regen: Kans op neerslag, meestal in percentages (bijv. 30% kans op regen). Lichte buien: Intermitterende regen, meestal minder dan 2,5 mm per uur (0,10 inch per uur). Zware regen: Constante regenval, meer dan 7,5 mm per uur (0,30 inch per uur). Onweer: Stormen met bliksem, zware regen en mogelijk hagel. Sneeuwbuien: Lichte tot matige sneeuwval, meestal in korte periodes. Bevriezende regen: Regen die bevriest bij contact, waardoor ijzige oppervlakken ontstaan. Temperatuur en gevoel Werkelijke temperatuur: De gemeten luchttemperatuur. Gevoelsmatige temperatuur: Aangepaste temperatuur op basis van windchill of luchtvochtigheid. Maxima en minima: Dagelijkse maximale en minimale temperaturen. Warmte-index: Hoe warm het aanvoelt, rekening houdend met de luchtvochtigheid. Windchill: Hoe koud het aanvoelt door de windsnelheid. Wind en atmosferische druk Windsnelheid en richting: Gemeten in km/u of mph, afkomstig uit een specifieke richting (bijv. "Noordwesten bij 24 km/u (15 mph)"). Windstoten: Plotselinge toename van windsnelheid, vaak sterker dan de aanhoudende wind. Barometrische druk: Gemeten in hPa (hectopascal) of inches kwik (inHg), die de weersomstandigheden aanduiden (bijv. stijgende druk suggereert goed weer, dalende druk wijst op stormen). Luchtvochtigheid en zichtbaarheid Luchtvochtigheid: Percentage vocht in de lucht (hogere waarden maken het benauwder). Dauwpunt: De temperatuur waarbij condensatie optreedt, wat invloed heeft op hoe "plakkerig" de lucht aanvoelt. Zichtbaarheid: Gemeten in mijlen of kilometers, geeft aan hoe ver je duidelijk kunt zien. Lage zichtbaarheid duidt op mist, nevel of zware neerslag. UV-index en zonblootstelling UV-index: Variërend van 0-11+, waarbij hogere waarden een sterker risico op ultraviolet straling aangeven. Zonsopgang en zonsondergang: Exacte tijden voor het begin en het einde van de daglichtperiode. Maanfasen: Inbegrepen zijn de wassende maansikkel, volle maan, enz., die de helderheid van de nacht beïnvloeden. Speciale weersomstandigheden Mist: Laaghangende wolken die de zichtbaarheid verminderen. Nevel: Deeltjes in de lucht die een wazige atmosfeer creëren. Stofstormen: Hoge winden die zand of stof meenemen, waardoor de zichtbaarheid afneemt. Tropische stormen en orkanen: Cyclonale systemen met hevige regen, hoge winden en mogelijke stormvloeden. Koude- en warme fronten: Grensgebieden tussen verschillende luchtmassa's die weersveranderingen veroorzaken. Uitgebreide weersvoorspellingen 7-daagse weersvoorspelling: Algemene weersverwachting voor de komende week. Klimaatgemiddelden: Langetermijnverwachtingen voor temperaturen en neerslag op basis van historische gegevens. Seizoensgebonden veranderingen: Verwachte variaties in weerpatronen (bijv. moessonseizoen, droog seizoen, winterstormen). Voorbeeld van een volledige weersvoorspelling voor een specifieke dag Maandag 3 maart Ochtend: Helder weer, temperatuur rond de 7°C (45°F). Lichte bries uit het oosten met een snelheid van 8 km/u (5 mph). Middag: Toenemende bewolking, deels bewolkt met een maximum van 18°C (65°F). Zuidaswind van 16-24 km/u (10-15 mph), windstoten tot 32 km/u (20 mph). Luchtvochtigheid van 45%. UV-index 5. Avond: Meestal bewolkt met 30% kans op lichte regenbuien. De temperatuur daalt naar 10°C (50°F). Zuidaswind van 13 km/u (8 mph). Nacht: Bewolkt met af en toe lichte regen. Lage temperatuur van 6°C (42°F). Winden verschuiven naar het zuidoosten met een snelheid van 8-16 km/u (5-10 mph). Zichtbaarheid rond de 10 km (6 mijl). Luchtvochtigheid van 70%. Maanfase: Wassende maansikkel, maanopkomst om 07:39 uur. Kahanan Langit Cetha: Ora ana awan, sinar matahari penuhan. Biasane Cerah: Sawetara awan sing sumebar, nanging mayoritas cerah. Setengah Awan: Campuran antara srengenge lan awan, kira-kira 30-50% katutupan awan. Biasane Awan: Luwih akeh awan tinimbang srengenge, nanging ora nganti kabèh mendhung. Mendung: Katutupan awan lengkap, ora ana srengenge sing katon. Tipe Precipitasè & Kemungkinan Kamungkinan Udan: Kemungkinan udan, biasane ing persentase (contone, 30% kemungkinan udan). Gerimis Ringan: Udan sing terputus-putus, biasane kurang saka 2,5 mm saben jam (0,10 inci saben jam). Udan Abot: Udan sing terus-terusan, luwih saka 7,5 mm saben jam (0,30 inci saben jam). Badai Petir: Badai nganggo petir, udan abot, lan bisa uga hujan es. Gerimis Salju: Salju ringan nganti sedang, biasane ing jeda-jeda. Udan Beku: Udan sing beku nalika nyentuh, nggawe permukaan dadi es. Suhu & Rasane Suhu Saktenane: Suhu udara sing kacathet. Suhu Rasane: Suhu sing disesuaikan adhedhasar angin utawa kelembapan. Puncak & Minimal: Suhu maksimum lan minimum saben dina. Indeks Panas: Carane panas rasane, nimbang kelembapan. Chill Angin: Carane adhem rasane amarga kecepatan angin. Angin & Tekanan Atmosfer Kecepatan & Arah Angin: Diukur nganggo km/jam utawa mph, teka saka arah tartamtu (contone, "Lor-kulon ing 24 km/jam (15 mph)"). Angin Kenceng: Peningkatan mendadak ing kecepatan angin, asring luwih kuwat tinimbang angin terus-terusan. Tekanan Barometrik: Diukur nganggo hPa (hectopascal) utawa inci merkuri (inHg), nuduhake tren cuaca (contone, tekanan sing munggah nuduhake cuaca cerah, tekanan mudhun nuduhake badai). Kelembapan & Jangkauan Kelembapan: Persentase kelembapan ing udara (nilai sing luwih dhuwur nggawe rasa luwih pengap). Titik Embun: Suhu nalika kondensasi kawangun, sing mengaruhi rasa "lembab" ing udara. Jangkauan: Diukur ing mil utawa kilometer, nuduhake sepiro adoh bisa ndeleng kanthi cetha. Jangkauan sing endhek nuduhake kabut, embun, utawa udan abot. Indeks UV & Paparan Srengenge Indeks UV: Rentang saka 0-11+, kanthi nilai sing luwih dhuwur nuduhake risiko radiasi ultraviolet sing luwih kuat. Wektu Srengenge Tumbuh & Tulas: Wektu sing tepat kanggo wiwitan lan pungkasan cahya dina. Fase Bulan: Kalebu Bulan Saben Sengkang, Bulan Purnama, lsp, sing mengaruhi cahya wengi. Kahanan Cuaca Khusus Kabut: Awan sing rendah sing nyuda jarak pandang. Kabut Tipis: Partikel udara sing nggawe suasana kabur. Badai Debu: Angin kenceng sing nggawa pasir utawa debu, nyuda jarak pandang. Badai Tropis & Badai Siklon: Sistem siklonik sing karo udan abot, angin kenceng, lan potensi gelombang badai. Front Dingin & Anget: Batasan antarane massa udara sing beda, nyebabake owah-owahan cuaca. Tren Ramalan Jangka Panjang Ramalan 7 Dina: Gambaran umum cuaca kanggo minggu ngarep. Rata-rata Iklim: Suhu lan curah hujan sing diarepake jangka panjang adhedhasar data sejarah. Owahan Musiman: Variasi cuaca sing diperkirakan (contoh, musim monsun, musim garing, badai salju). Contoh Ramalan Cuaca Lengkap Kanggo Dina Tertentu Senin, 3 Maret Esuk: Langit cerah, suhu sekitar 7°C (45°F). Angin enteng saka arah wétan kanthi kecepatan 8 km/jam (5 mph). Siang: Awan saya nambah, sebagian awan kanthi suhu maksimum 18°C (65°F). Angin selatan 16-24 km/jam (10-15 mph), angin kenceng nganti 32 km/jam (20 mph). Kelembapan 45%. Indeks UV 5. Sore: Mayoritas awan kanthi 30% kemungkinan gerimis ringan. Suhu mudhun nganti 10°C (50°F). Angin selatan-tenggara 13 km/jam (8 mph). Bengi: Mendung kanthi gerimis ringan kadang-kadang. Suhu rendah 6°C (42°F). Angin ngalih dadi tenggara kanthi kecepatan 8-16 km/jam (5-10 mph). Jangkauan kira-kira 10 km (6 mil). Kelembapan 70%. Fase Bulan: Bulan Sengkang, wanci wungu jam 7:39 esuk