The worlds 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
Single source of weather data
On the fly calculation for the most up-to-date forecast
Downscaling weather forecasts to 90 metres, globally!
Fast & performant architecture
Meteomatics weather API delivers fast, direct, simple access to an extensive range of global weather and environmental 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.
Customers 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.
We improve the accuracy of weather data by taking into account the detail of the topography (down to 90 metres*) for any lat / long.
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 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.
Over the weekend (30th / 31st May), we were invited by NASA to support their global hackathon. Coders, technologists and others participated in an all-virtual challenge to identify trends in the COVID-19 pandemic. During a period of 48 hours, more than 15,000 participants from 150 countries created more than 2,000 virtual teams.
We saw a huge interest in our weather api, providing access to hundreds of teams who used our data, alongside other Earth observation data sets from providers including NASA, European Space Agency (ESA), the Japan Aerospace Exploration Agency (JAXA), the Canadian Space Agency (CSA), and the National Centre for Space Studies (CNES), to build insights and propose solutions to one of twelve challenges related to the COVID-19 pandemic.
The challenges focused on the following themes:
- Learning about the virus and its spread using space-based data
- Local response/change and solutions
- Impacts of COVID-19 on the Earth system/Earth system response
- Economic opportunity, impact, and recovery during and following COVID-19
We received lots of positive feedback from participants who found our weather api easy to use and integrate with other data sets at both a global and local level. Helping them analyse and understand the interplay between weather and earth systems in a very short period of time (over a weekend)!
We were really proud to be asked to collaborate by NASA Space Apps Challenge Team and look forward to seeing how the proposals could provide insights between weather and COVID-19. We hope a winning proposal has created a solution that will help the globe mitigate the impact of COVID-19.
In July, the Space Apps Global Organizing Team will announce the Global Finalists and six global winners will be announced in early August. Meteomatics will share the results and the innovative solutions created on our social media channels and website.
How does bad weather affect visitor numbers? Meteomatics supports Naturmuseum (St Gallen) apply machine learning methods to move beyond speculation
The Naturmuseum in St Gallen and Meteomatics AG embarked upon a collaboration to see how weather information could help better predict the number of visitors to the Museum, rather than just guessing that people go to museums on days with bad weather. Meteomatics were...
Even in an (increasingly unlikely) +1.5°C world, weather conditions can be expected to be quite different from today. Focusing on mitigation and transition risk is no longer enough. Meteomatics AG: In this report, Meteomatics has analyzed climate projection data and...
The world’s richest and most consumable weather API now includes turbulence parameters, to help the aviation industry safely operate and realize operational efficiencies. The detection of erratic air currents in clear skies – so-called Clear-air turbulence (CAT) – is...