Fast retrieval of reanalysis data

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.

model selection: source=ecmwf-era5
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.

Surge Amplitude

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.

parameter: surge_amplitude:cm

surge_amplitude_example

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

Documentation Surge Amplitude

API News

Our weather API is improving every day
September 1, 2021 10:10 am

The Weather API is our core product, which is why we are constantly working on improvements to make it even easier for our customers to get more unique data and forecasts. Over the summer months, our developers have been working diligently to make the API even better. The improvements include the integration of new topographic data (ASTER Topography), which has expanded and improved the elevation coverage of our models across the globe. This makes our forecasts even more accurate, especially in higher air layers. This is of particular benefit to customers operating at higher altitudes, e.g. drones, helicopters and aircraft. With the new integration of isoline queries, users now also have the possibility to directly show isolines on our maps and models. Isolines are lines on a map or diagram along which a constant value (e.g. temperature, so-called isotherms) is located. This opens up new visualization possibilities and a better understanding of weather behavior across different regions. This brings a strong added value especially for customers who are looking for data visualizations, e.g. media or travel briefing. Additionally, the usability has been improved and the documentation for the different parameters has been updated to make it even easier for our customers to use the API.
Improvements in Meteomatics API precipitation forecasts
December 16, 2020 11:02 am

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.
Extreme weather in Meteomatics API
July 23, 2020 4:23 pm

Meteomatics weather data API now includes extreme weather forecast Indices and shift of ensemble forecast tails
Meteomatics adds global heat index, humidex and apparent temperature to the API.
July 17, 2020 5:00 pm

Meteomatics Weather Data API now includes global heat index, humidex and apparent temperature
New API Features
April 23, 2020 2:17 pm

Global Satellite Images: the range of available satellite images has been expanded.