The CityCLIM Citizen Climate Services
Heat Sensation Service
Pilot City Luxembourg
The individual weather map uses the heat index. The "comfort temperature range" that the user can select and which is displayed on the map already takes into account the air temperature and relative humidity. This way, a more accurate idea can be conveyed of how hot it actually is for a person. In our blog post on the CityCLIM website, you can find further information about individual weather perception.
Pollution Information Service
Valencia
The pollution information service is aimed at citizen and city administration stakeholders to monitor the air quality in the region and the distribution and movement of important air quality parameters. It is available as a web widget to be implemented in "foreign" websites and also available in the CityCLIM frontend. The pollution information service is available for 4 air quality parameters: Ozone, Particulate Matter, Nitrogene Dioxide and Nitric Acid.
Heat Wave Information
Karlsruhe
As part of the EU project CityCLIM, the weather forecast for Karlsruhe as a pilot city is calculated daily using grid cells of 100x100 m. The high resolution allows fine structures to be seen within the city, and Karlsruhe can also be seen as an urban heat island during heat waves. The colors in the map indicate the predicted temperature at 2 meters for the current day. So it is not measured real-time data. In the map you can use the play button to start a simulation throughout the day or click anywhere in the bottom bar to select a specific time.
Climate Portal
Global
In the Climate Portal, you will find measurement data from numerous weather stations that we have processed in various ways. You can search for a weather station using the map or the search mask. We aim to visualize these data through various representations to facilitate the identification of climate trends. Such trends become more discernible with longer and more comprehensive measurement series. Especially with long-term data spanning many decades, you will notice that the temperature trend is upwards. Of course, you can also simply view historical data using these representations.
