Head of Meteorology
The new 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.
Head of Meteorology
meteoblue offers several climate services like climate change analysis, climate prediction and climate risk assessment for any location on Earth using historical data and future emission scenarios to predict the climate of the future to understand the arising challenges of climate change
Programme Director, Senior Expert
Stockholm Environment Institute
This unique tool for risk assessment and year comparison brings site assessment to a new level. It is available as cheap entry offer through our website or as a business service (with high volume discounts) on request.
We can provide a wide range of weather variables and datasets like weather models, satellite and radar observations or reanalysis as a one-time service based on Dataset API (which is for recurring requests).
Weather stations provide measurement data for Temperature, Precipitation, Wind speed and -direction (other variables on request) in hourly or daily resolution.
This tool enables access to a quality-controlled measurement dataset. Four features are considered in this tool:
The Dataset API gives access to the world largest weather database with more than 50 different datasets and hundreds of variables. Climate predictions and site comparisons based on typical and extreme years provide help in securing long term investments.
meteoblue offers numerous weather variables which are grouped into history and forecast packages. There are different packages for specific use cases like agriculture, renewable energy and many others. The data packages are available for different historical and forecasting time-ranges in the CSV and JSON formats.
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 or current 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.