The data delivered via the Weather API is based on a variety of different models and observational sources. Models can be combined in an intelligent mix. This means that the best available data source is automatically offered for each time and location. Alternatively individual models or ensemble members can be queried directly instead. What`s new? MOS, based on observational weather stations’ data, is now available.
Current weather models still facing challenges in accurately reproducing and forecasting precipitation. To assist the weather models’ observed precipitation, it is crucial to complement information about rainfall. In line with that, Meteomatics is delighted to announce the integration of additional satellite-based precipitation products into our API. The new data sets enable us to offer more accurate precipitation data globally. The satellite-based precipitation products improve especially ground truth in South America, Africa and Southeast Asia. The spatially and temporally consistent and continuous 30-year rainfall data set, from 1981 to the near-present, allows us to put recent climate extremes into historical context. It can be used for trend analysis and seasonal drought monitoring or to assess and monitor large-scale rainfall patterns. Following our philosophy, these new data also improve storm and hail products.
The Meteomatics API facilitates the high-speed retrieval of long historical time series as well as historical grid data from ECMWF’s reanalysis model ERA5. Queries from ERA5 can be executed as usual without any additional specifications!
Meteomatics weather data API now includes extreme weather forecast Indices and shift of ensemble forecast tails
Meteomatics Weather Data API now includes global heat index, humidex and apparent temperature
Global Satellite Images: the range of available satellite images has been expanded.