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When the River Runs Dry: Rethinking Drought Through Nature’s Lens
April 14, 2025A new global review led by Celia Ramos-Sánchez and colleagues raises critical concerns about how freshwater ecosystems are addressed in drought risk management. The study, published in Environmental Research Letters, analyzed 26 drought management instruments across 25 countries, revealing a...
Harnessing AI for Hydrology: Enhancing Streamflow Predictions Across Europe
March 3, 2025Hydrological models and services are essential for water management, flood and droughtpreparedness, and ecosystem protection. However, large-scale process-based models oftenstruggle with local-scale accuracy due to the complexity of hydrological processes, uncertaintiesin meteorological inputs, and human interventions.This webinar dives into how...
The Role of AI in Understanding and Predicting Extreme Weather Events
March 3, 2025Extreme weather events, including floods, droughts, wildfires, and heatwaves, are increasing in frequency and severity, posing critical threats to human livelihoods, biodiversity, and economic stability. Understanding and predicting these events is essential for developing effective mitigation and adaptation strategies. Artificial...
CLINT Webinar series
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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.
