News & Events

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...

In response to the European Digital Transformation Act, the existing European digital infrastructures are being enhanced and optimised to be harnessed for sustainable development. In particular, climate action can be underpinned by applications that provide scientific processing methods for enabling...

Lots of rain and flooding from tropical cyclones cause many deaths and economic damage worldwide. We have looked into how accurate our data and analysis are in showing trends in rainfall from these storms, especially focusing on the record-breaking storm...

The growing variability in hydrological regimes and the more frequent and intense extreme events necessitate a transition from conventional rule-based reservoir management to adaptive operations. This transition can be facilitated by harnessing improved hydro-meteorological forecasts and implementing feedback and feedforward...