News From the Field
Machine learning may be a game-changer for climate prediction
June 19, 2018
This material is available primarily for archival purposes. Telephone numbers or other contact information may be out of date; please see current contact information at media contacts.New research from Columbia Engineering Professor Pierre Gentine demonstrates that machine-learning techniques can be used to accurately represent clouds and their atmospheric heating and moistening, and better represent clouds in coarse resolution climate models, with the potential to narrow the range of climate prediction. This could be a major advance in accurate predictions of global warming in response to increased greenhouse gas concentrations that are essential for policy-makers.Full Story
Columbia University School of Engineering and Applied Science
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