Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...
Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate ...
Researchers in Taiwan demonstrate that installing solar panels above clam ponds can simultaneously support aquaculture and renewable energy under increasing climate stress. Using real-world farm data, ...
Accurately predicting regional climate—especially the East Asian summer monsoon—remains one of the toughest challenges in climate science today. While recent generations of global models, like those ...
Machine learning (ML) is a type of Artificial Intelligence and is transforming how we develop our science at the Met Office. In weather and climate prediction, it will open up new ...
Early warning of climate risk is the gold standard that scientists, managers and governments are working towards. Doing this requires a detailed understanding of not just the amount of precipitation ...
Aquatic parasitology is undergoing significant transformation due to the pervasive effects of climate change on marine and freshwater environments. Global ...
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