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! Just query your desired data and enjoy the rapid processing of your API call. The big advantage is that huge loads of data can be queried with a single API call, without running into timeouts or other possible restrictions due to speed.
Reanalysis data is used for climate monitoring, climate studies and meteorological research. At the moment data can be queried back to 1979 (will be soon possible from 1950 on) for the entire globe. Available parameters are temperature, humidity, wind speed, solar radiation, precipitation and many more.
This chart shows the 2 m temperature for the entire globe for April 1st in 1985. This dataset can be fetched from the API within seconds. This kind of spatial data allows for closer meteorological analyses of storms in the past by generating animations, for example.
The time series above shows the daily mean 2 m temperature for Zurich from 1981-2010 — the period that usually acts as climatological reference. So, historical data for 30 years can be obtained in seconds and hence the computation of climatological means for several parameters anywhere on earth can be performed very easily and fast.
By the way, Meteomatics provides not just ERA5, but all important weather models on NVME.
This parameter gives you the deviation of the rise and fall of the sea level from the usual expected tide. Such deviations originate from storms, which push the water towards the coastal areas. In combination with the tide information from our completely revised tidal model, this parameter should be a useful supplement in your maritime applications.
The chart above shows the surge amplitude along the US East Coast for August 4th at 1 UTC, when tropical storm Isaias was raging. The surge amplitude reached values of up to 112 cm at the coast of South Carolina