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 ...

Many people seek to work for companies with a purpose, and for advocates of sustainability, climate tech appeals as a fulfilling career path. Specifically for software development, climate tech market ...

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 ...

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 ...

Companies that postpone offtake discussions often discover that scale capital remains inaccessible when it is most needed.

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 ...

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 ...

This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Climate models are complex, just like the world they ...