- High precision: Diligent verification of our city climate model shows a model error below 1°C for temperatures calculated between weather stations. Our 24h air temperature forecast has an accuracy of 1.2 K, effectively providing the most precise forecast possible.
- Artificial intelligence: The meteoblue city climate monitoring system uses proprietary artificial intelligence to combine in-situ meteorological measurements with satellite data and numerical forecast models in order to produce precise data with a minimum of sensors in the most economical way.
- Seamlessly from history to forecast: We offer historical data, real-time updates and a 7-day forecast for any location within a city. Additionally, we use climate projections to estimate the air temperature and precipitation for different future time horizons (e.g. out to 2050) under different emission scenarios.
- High resolution: Our city climate models have a horizontal resolution of 10m and resolve the entire micro-scale variability of air temperature and wind velocity fields, bringing weather information to each doorstep.
- Multiple meteorological variables: We offer measurements of various meteorological variables (air temperature, relative humidity, precipitation) and provide modeled wind speed and direction at high spatial resolution for a wide range of applications.
- Multiple interfaces: Our products are available via API, FTP server, web, and App, giving you easy plug-and-play access to all possible applications.
Meteorological data can be further processed and used for information in different applications. We propose three different use cases.
Use case: Temperature
The modelled air temperature can be used for monitoring urban heat islands, for determining their extent and for warning residents of great heat stress in certain areas of the city. These warnings might be particularly important for people with health risks such as elderly people, pregnant women or sick people. Air temperature estimates can additionally be use for urban planning offices and architectural companies for a climate-friendly planning of new areals or restructuring parks, squares and buildings in order to achieve the best solution for the population in the city.
Use case: Precipitation
Precipitation can vary even more within short distance. Therefore, monitoring is important. In case of heavy rain events, flooding estimates require the exact location of the heavy, both for planning and evacuation. Modelled precipitation data allows planners and insurances to easily check weather related insurance reports for credibility. During winter, it is useful to know where and how much it snows or will snow. Municipal utilities will be able to plan road salt stocks for the winter season based on the data.
Use case: Wind speed and direction
To cool down the urban area during summer, it is very important to leave cool air channels free of buildings which might block the airflow. To detect the cold air corridors, wind flows and wind fields are estimated from modelled wind data. The data can also be used for tracking particulate matter and air pollution in general, and to differentiate areas of relief or concern. For the issue of more precise warnings in the event of fire and smoke, accurate data of wind flows are very useful. During spring and summer, it can be important to predict pollen count precisely within the complex urban area to warn allergic people.