Furthermore, it enables complex analysis of single point time series or spatially for temporal aggregated data. The dataset API uses a sophisticated database structure, that allows the combination of reanalysis weather data (ERA5), weather simulation data ( NEMS, ICON etc.) and observational data ( IMERG, CMORPH, CHIRPS, METEOSAT etc.) with static datasets like soil or vegetation characteristics within a call of a few seconds. The high-speed access through our dataset API allows to combine the advantages of the different datasets included. Most weather simulation datasets are automatically updated daily, which gives an instant availability of these datasets and underlines the consistency between weather forecast and history. High resolution models (NEMS4, ICON7, etc.) are also only running since few years, and therefore their time series do not reach back for much longer than the year 2010. The high resolution weather (NEMS models are computed for single domains and therefore cover a certain region or continent and are not available globally like NEMSGLOBAL or ERA5. NEMSGLOBAL and ERA5 are the only models available in hourly intervals for more than 30 years. Some global models have been operational and calculated since decades, and provide consistent data sequences over 10-30 years, in hourly to 3-hourly intervals. Global weather models (NEMSGLOBAL or ERA5) cover the entire Earth. satellite and other observational data for weather, vegetation and other variables. DatasetsÄatasets currently available in the meteoblue dataset API include Data can thus be downloaded into other systems. The interface also provides an API configuration tool, enabling combination of different datasets into single API calls. This combination is a key advantage, as each dataset has its advantages and limitations. The dynamic web interface makes these datasets available with a few clicks for any location on Earth. The dataset API for weather and environmental data combines different global datasets with data from different sources, variables, spatial and temporal resolution, reaching back to 1979.
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