The Historical Weather API is based on reanalysis datasets and uses a combination of weather station, aircraft, buoy, radar, and satellite observations to create a comprehensive record of past weather conditions. These datasets are able to fill in gaps by using mathematical models to estimate the values of various weather variables. As a result, reanalysis datasets are able to provide detailed historical weather information for locations that may not have had weather stations nearby, such as rural areas or the open ocean. The spatial resolution of a weather reanalysis dataset refers to the size of the grid cells used to represent the data. In the case of the reanalysis dataset described, the cells covering land have a resolution of 11 km, while those covering the ocean have a resolution of 25 km. For the region of Europe, the resolution is increased to 5 km, although this higher resolution is only available up until June 2021, with real-time updates expected to be available sometime in 2023. In general, a higher spatial resolution means that the data is more detailed and represents the weather conditions more accurately at smaller scales. The historic API takes the same parameters and gives the same response as the forecast API, but adds start_date and end_date
OverviewAPIForecasthistoricalnationalweather
Additional Information
KeyValue
ib1:sensitivityClassIB1-O