Build insights and solutions using Meteomatics Data to improve decision making, realize efficiencies and save costs.
Meteomatics increases the accuracy of weather forecasts by adding extra detail, such as downscaling the horizontal resolution to 90m and providing data in 5 minute timesteps. Plus, we provide access to weather and climate data for any lat / long, across all timescales!
Historic (back to 1979), real time, forecast, seasonal and climate projections out to 2100. All available through the same easy to use API endpoint, in a range of programming languages and compatible with a wide number of data connectors.
Easy to use API
Meteomatics weather API delivers fast, direct and simple access to an extensive range of global weather, climate projections and environmental data.
Single source of weather data
A single API endpoint to access weather and earth data covering the globe, from weather forecasts, observations. Plus Web Feature Services and Web Map Services.
On the fly calculation for the most up-to-date forecast
Customer weather forecast requests are calculated ‘on the fly’, using the latest observations. Giving users confidence that they are receiving the most accurate and up to date weather data possible.
Downscaling weather forecast to 90 metres, globally!
We improve the accuracy of weather data by taking into account the detail of the topography (down to 90 metres*) for any lat / long
Fast & performant architecture
Our Meteocache aligns data in time and space to ensure that the weather API can efficiently and very quickly, return the requested data query despite of the size and format of the original data set
Join our success story!Organizations across the globe and industry trust Meteomatics to deliver.
The St. Gallische Naturwissenschaftliche Gesellschaft (St. Gallen Scientific Society) regularly organizes lectures for regional innovations with international impact and thereby provides a platform for entrepreneurs exploring new ways. In this context Dr. Martin...
The COSMO User Seminar, organized by Germany's National Meteorological Service (DWD), brings together operators and developers of the mesoscale COSMO model to provide a framework for the exchange of the latest achievements and possibilities. Dr. Martin Fengler will...
"A start-up takes off" headlines the management magazine Leader in their January/February 2016 issue and thereby refers to our successful drone measurement campaign in summer 2015. By capturing meteorological parameters as temperature, humidity, pressure, wind...