The world's best weather data, on demand
Complex questions deserve quality answers
Build insights and solutions using Meteomatics data to improve decision making, realise efficiencies and save costs.
Whether it’s pushing the boundaries of UAV design and engineering to create our own purpose built weather drones (Meteodrones), allowing us to capture observations missed by traditional methods (such as satellites and weather balloons), downscaling forecasts to 90m or calculating forecasts on the fly to ensure a customer receives a forecast based on the latest observations.
We are committed to the creation of accurate weather forecasts that clients can trust, going to extra effort to make our weather API easy to consume.
Easy to use API
Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather 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
Organizations across the globe and industry trust Meteomatics to deliver.
Kelby Stockstill and Katelyn Hertel, The Unicode Unicorns:
The Unicode Unicorns
The Unicode Unicorns are a data science team founded in October 2018 by Kelby Stockstill and Katelyn Hertel for the NASA Space Apps Challenge. The team, which consists of people with diverse skills from design to programming, set itself to the task of solving real world problems using data. The team won the 2019 NASA Space Apps Challenge NYC with their project For Your Ice Only.
Meteomatics weather data API now includes extreme weather forecast Indices and shift of ensemble forecast tails
Meteomatics agrees partnership with Airbus to provide Meteomatics customers with Airbus' real-time global thunderstorm cell detection and prediction data
Meteomatics sponsors Tshwane University Solar Car Team taking part in South Africa’s Sasol Solar Challenge.
Meteomatics sponsors Tshwane University Solar Car Team and supplies accurate solar forecasts, via easy to use weather data API