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.

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Latest news & events

Is it still worth studying reservoir operations? Our analysis of 337 papers suggests it is an ongoing relevant research problem. More details here
A State‐of‐the‐Art Review of Optimal Reservoir Control for Managing Conflicting Demands in a Changing World https://t.co/WylPIBtyNp https://t.co/5RlCEUEdSc
CLINTH2020 photo
We are hiring a new PhD student to work on Machine Learning for extreme climate event detection and attribution in the @CLINTH2020 project. More info here https://t.co/32AFknnB4u @eiPolimi https://t.co/iGRZFM3mqm CLINTH2020 photo
Don't forget the opportunity to join the @hepexorg community and present your work at the @IAHS_AISH meeting in Montepellier, France, in 2022! Submit your abstract before Wed 1 December to our session on #forecasting, #uncertainty, #evaluation and #decisionmaking.

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