Sebastian Schlögl
Head of Meteorology
meteoblue AG
Protect your business activities with scientific assessments of a changing climate
Meteorological expertise
Available Worldwide
Unique data range
Decision support tools
Climate Risk Assessment
Smart City solutions
If you have any questions or need advice, please get in touch. Our expert on our meteorological and climate services will get back to you shortly.
Sebastian Schlögl
Head of Meteorology
The meteoblue City Climate Monitoring system enables cities within less than a year to develop an affordable infrastructure to precisely measure, forecast and model their city climate, to serve as basis for their population, their decision makers, or planners.
Understand the arising risks of climate change and ensure compliance with EU requirements
Analyse the potential risks of climate change for specific regions or locations
meteoblue provides a reliable basis of information and data for helping cities and companies to better prepare for the ongoing challenges arising from climate change. The high-resolution maps below show a comparison of the yearly number of tropical nights (daily minimum temperature above 20 degrees) in Frankfurt am Main, Germany, between the reference period (1991 - 2020) and the period of 2045 - 2074, based on the RCP8.5 emission scenario.
As the number of tropical nights is a good indicator for heat-related mortality in cities, high-resolution climate data are essential since they equip decision-makers and city planners with the insights needed to develop effective, data-driven adaptation measures.
Sebastian Schlögl
Head of Meteorology
meteoblue AG
Find out more about further API features, service levels and more
Based on the measurements of the last months, our proprietary artificial intelligence finds the best model combination for each weather station, adapted to the microclimatic situation and according to the actual weather conditions.
MOS (Model output statistics) is the technique of post-processing the output from numerical weather forecast models using statistics of local historical weather measurements. The MOS service substantially improves the accuracy of the forecast data for temperature, radiation, wind speed and renewable power generation (other variables can be specified on request). Microclimatic of site specific conditions like seasonal fog, shading or spectral sensitivity are accurately forecasted when PV MOS was implemented.
A virtual weather station provides the most accurate weather data for any location worldwide on an hourly basis without any delay. It therefore combines multiple data sources in real time with latest post-processing technologies.
Benchmark the performance of your measurement data or solar system comparing it to the satellite or other observational data of the last days or months.
Not found what you are looking for? Ask for tailored solutions to your specific requirements
The form was sent successfully.
Thank you for getting in touch, our experts will contact you within a few business days.