A study led by Dr. Yue Qin and Dr. Tong Zhu from the College of Environmental Sciences and Engineering at Peking University marks one of the first in-depth analyses of the spatial and temporal ...
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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 ...
A newly published review in Atmospheric and Oceanic Science Letters reveals that climate extremes are increasingly striking in combination—and their compounding impact is posing a growing threat to ...
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