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Machine learning improves accuracy of climate models—particularly for compound extreme events
Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger ...
University of Geneva-led research says machine learning forecasts underestimate intensity, frequency of heat waves, cold ...
The Adriatic Sea and its coastal regions are increasingly exposed to climate variability and extreme events, posing significant challenges to communities, ...
In recent decades, climate change has modified the growth of forests, mainly due to increasing temperature and altered ...
Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one of the nature-based and cost-effective solutions for climate change ...
Landslide risk is rising as extreme rainfall intensifies. New tools using satellite data and AI can help map where failures ...
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