Sebastian Schlögl
Head of Meteorology
meteoblue AG
"To reach highest data accuracy we are using quality controlled measurements of more than 250'000 weather stations in real time."
Meteo & Climate Services
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.
Understand the complexity of weather data and how to manage them
Frankfurt Number of Tropical nights: RCP 8.5 reference (left), 2045-2074 (right)
Smart City Service
City climate Climate change monitoring for smart cities
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.
Climate services for any location on Earth
Climate services Assessing the potential risks in a future climate
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
Andreas Hoy
Programme Director, Senior Expert
Stockholm Environment Institute
"Working with meteoblue is very enjoyable as we share the same ambition for better accessibility and usability of urban weather and climate data. I look forward to further opportunities to work together."
Historical weather data
history+ locations Analyse historical weather data and climate change
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.
One time history Get time series for any weather variables from 1960 up to today
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).
Measurements Access time series of more than 100’000 weather stations worldwide
Weather stations provide measurement data for Temperature, Precipitation, Wind speed and -direction (other variables on request) in hourly or daily resolution.
Measurement Quality Assurance Access to quality-controlled measurements of more than 100’000 weather stations worldwide
This tool enables access to a quality-controlled measurement dataset. Four features are considered in this tool:
- Same timestamp for all your stations
- Quality control of main meteorological variables (i.e., air temperature, precipitation, wind speed, relative humidity, radiation) based on scientific methods
- Gapfilling based on stations nearby and weather models
- Data homogenisation to correct for potential biases with respect to a WMO standard
For recurring history requests, see our API options
Dataset API The big data API for complex analyses of historical weather data
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.
Package API Our recommended solution to integrate weather data in your application
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.
Site specific weather forecast (MOS/mLM)
Weather station mLM Site specific forecast learning based on your measurements
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.
Renewable Energy MOS Plant specific forecast trained on your measurements
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.
Real time monitoring
Virtual Weather Stations (vWS) Highest accuracy from 1960 up to 14 days ahead
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.
Solar Nowcasting Real-time monitoring of smart homes and solar energy systems
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.
×
Commercial request
meteoblue offers a wide range of products and solutions for commercial use in many different sectors and industries.
Please fill out the fields below in order to send us your request. Our experts will reply within a few business days.
The form was sent successfully.
Thank you for getting in touch, our experts will contact you within a few business days.
