Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...
Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
New AI foundation model offers insights beyond forecasting for scientists, developers, and businesses to better understand and analyze weather and climate data Because of its unique design and ...
The members of the team are: Sameh Abdulah, Marc G. Genton, David E. Keyes, Zubair Khalid, Hatem Ltaief, Yan Song, Greorgiy L. Stenchikov and Ying Sun (all of King Abdullah University of Science and ...
The algorithms behind generative AI tools like DallE, when combined with physics-based data, can be used to develop better ways to model the Earth's climate. Computer scientists have now used this ...
The report warns many economic models are failing to capture extreme weather events and rising uncertainty likely to dominate ...
Atlanta, Nov. 21, 2024 – ACM, the Association for Computing Machinery, today presented a 12-member team with the ACM Gordon Bell Prize for Climate Modelling for their project “Boosting Earth System ...
OTTAWA, Ontario, Jan. 22, 2026 (GLOBE NEWSWIRE) -- The Canadian Institute of Actuaries (CIA) is proud to partner on a climate research project led by the Université du Québec à Montréal (UQAM), with ...
Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
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