Latest news
Coding Sprint
September 21, 2023Climate datasets rapidly grow in volume and complexity and creating climate products requires high bandwidth, massive storage and large compute resources. For some regions, low bandwidth constitutes a real obstacle to developing climate services. Data volume also hinders reproducibility because...
Next General Assembly in Sweden
August 17, 2023This year’s CLINT General Assembly will take place at SMHI’s headquarters in Norrköping, Sweden, from the 11th to the 13th of September. More info will be soon available!
CLINT will be at the European Innovation Events in Leipzig
June 7, 2023OGC to showcase many of its recent innovations, including advancements in Semantic Interoperability and the Location Innovation Academy, at upcoming European events. The Open Geospatial Consortium (OGC) is proud to co-organize and sponsor upcoming European Innovation Events such as Data...
Latest events
Mastering tropical cyclone representation with the CLINT project
March 27, 2023Tropical cyclones are devastating low-pressure systems occurring across all tropical oceanbasins. When they make landfall, they are among the worst natural disasters in terms offatalities and economic loss due to the associated extreme winds, heavy precipitation, andstorm surge. Therefore, understanding...
The European 2022 summer: context and predictability
October 5, 2022Speakers David Barriopedro (CSIC), Carmen A. Castro (CMCC), Arthur Hrast Essenfelder (JRC), Linus Magnusson (ECMWF), Enrico Scoccimarro (CMCC), Andrea Toreti (JRC), Veronica Torralba (CMCC), Elena Xoplaki (JLU), and Eduardo Zorita (Hereon) Moderator Andrea Francesco Castelletti, Politecnico di Milano Abstract This past summer, Europe experienced an extreme...
CLINT at EGU 2022, Vienna
May 16, 2022Next week the CLINT team will be in Vienna at the EGU General Assembly 2022. The congress will bring together scientists from all over the world for one meeting covering all disciplines of the Earth, planetary, and space sciences. CLINT...
Webinar & Video
Our mission
The main objective of CLINT is the development of an Artificial Intelligence framework composed of Machine Learning techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation, and attribution of Extreme Events (EEs), namely tropical cyclones, heatwaves and warm nights, droughts, and floods. The CLINT AI framework will also cover the quantification of the EE impacts on a variety of socio-economic sectors under historical, forecasted, and projected climate conditions, and across different spatial scales (from European to local), ultimately developing innovative and sectorial AI-enhanced Climate Services. Finally, these services will be operationalized into Web Processing Services, according to the most advanced open data and software standards by Climate Services Information Systems, and into a Demonstrator to facilitate the uptake of project results by public and private entities for research and Climate Services development.
