News & Events

Artificial Intelligence (AI) is rapidly transforming many sectors, and climate science is no exception. From improving short-term weather forecasts to enabling long-range climate projections, AI is opening new pathways for understanding and responding to climate extremes. Yet, alongside this potential...

As the impacts of climate change become increasingly pronounced, accurately predicting water flux dynamics is more critical than ever. Traditional hydrological models, while foundational to our understanding of water resources, often face limitations when dealing with complex, non-linear hydrometeorological processes,...

A 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...

Hydrological 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...

Extreme 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...

Thanks to our joint activities with the XAIDA project, a fascinating webinar will center around compound events and their analysis through machine learning and global interconnections next week.

Understanding past climates is crucial to prepare for future climate conditions. With the accelerating impact of climate change, reconstructing historical climate extremes provides critical context for evaluating today’s environmental shifts. Artificial Intelligence (AI) plays a transformative role in this effort...

The results of the CLINT project were presented from 24 to 27 September 2024 at the University of Salento, Lecce, Italy, at the MedCLIVAR-SISC 2024 Conference, showcasing a range of studies on climate extremes and their drivers. The following contributions...