Our platform permits Weather Map to process and distribute billions of weather data points every second. Number of servers processes more than 10,000 calls a second that are received from WeatherMap service. This is possible due to cutting edge Big Data technologies that is being applied to the our platform.
- Weather data on our web-site
- Current weather data for more than 200,000 cities
- Current weather data for any location (lat/lon)
- Daily forecast for 16 days, forecast for 5 days with 3 hour interval
- This day in history
- Weather maps (Precipitations, Clouds, Pressure,
- Temperature, Wind, Weather stations)
- Analytics
- Raw data from weather stations
Our platform collects processed weather forecast data. Calculation of the global forecasts require incredible computing power, and unfortunately we don't have an IBM Watson (yet). Fortunately many meteorological services share our love of free data and as a result their data is freely available. We mostly use data from NOAA GFS model and Environment Canada. These models are global and they see their mission in not a prediction of specific weather situation at a certain point of land but in determining of the total atmospheric dynamics on the whole planet. They have a large grid size - about 50 km and longer ranged forecast - 5-7 days. Then, they calculate more detailed models for specific regions. We combine data of multi-scaled forecasts, from the average and global to local and more accurate. That is why OWM interactive maps are very convenient. You can use global forecasts for large scale, and you can get more and more detailed data just by zooming.
Sensors and other data sources
Our Weather Map service collects data from professional and private weather stations. Today we have more than 40,000 weather stations. Most of them are professional stations which are installed in airports, large cities etc. But it is also important for Our Weather Map to collect weather data from non-professional stations that are assembled and installed by fans and weather enthusiasts. Our Weather Map APIs wouldn't be available without meteorologists sharing share our love of free software. Many models that we use are OpenSource - WRF model, for example.
NOAA http://www.noaa.gov/
Environment Canada http://www.weatheroffice.gc.ca
European Centre for Medium-Range Weather Forecasts (ECMWF) http://www.ecmwf.int/
気象庁 Japan Meteorological Agency http://www.jma.go.jp
METAR data from airports http://en.wikipedia.org/wiki/METAR
APRS network http://www.aprs-is.net/
- Weather data on our web-site
- Current weather data for more than 200,000 cities
- Current weather data for any location (lat/lon)
- Daily forecast for 16 days, forecast for 5 days with 3 hour interval
- This day in history
- Weather maps (Precipitations, Clouds, Pressure,
- Temperature, Wind, Weather stations)
- Analytics
- Raw data from weather stations
Our platform collects processed weather forecast data. Calculation of the global forecasts require incredible computing power, and unfortunately we don't have an IBM Watson (yet). Fortunately many meteorological services share our love of free data and as a result their data is freely available. We mostly use data from NOAA GFS model and Environment Canada. These models are global and they see their mission in not a prediction of specific weather situation at a certain point of land but in determining of the total atmospheric dynamics on the whole planet. They have a large grid size - about 50 km and longer ranged forecast - 5-7 days. Then, they calculate more detailed models for specific regions. We combine data of multi-scaled forecasts, from the average and global to local and more accurate. That is why OWM interactive maps are very convenient. You can use global forecasts for large scale, and you can get more and more detailed data just by zooming.
Sensors and other data sources
Our Weather Map service collects data from professional and private weather stations. Today we have more than 40,000 weather stations. Most of them are professional stations which are installed in airports, large cities etc. But it is also important for Our Weather Map to collect weather data from non-professional stations that are assembled and installed by fans and weather enthusiasts. Our Weather Map APIs wouldn't be available without meteorologists sharing share our love of free software. Many models that we use are OpenSource - WRF model, for example.
NOAA http://www.noaa.gov/
Environment Canada http://www.weatheroffice.gc.ca
European Centre for Medium-Range Weather Forecasts (ECMWF) http://www.ecmwf.int/
気象庁 Japan Meteorological Agency http://www.jma.go.jp
METAR data from airports http://en.wikipedia.org/wiki/METAR
APRS network http://www.aprs-is.net/