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The Stanford Woods Institute for the Environment joins an effort to inform implementation of federal climate policies.
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A better understanding of how gravity waves in the upper atmosphere interact with the jet stream, polar vortex and other phenomena could be key to improved weather predictions and climate models.
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Researchers at Stanford and Colorado State University used machine learning to determine how much global warming has influenced extreme weather events in the U.S. and elsewhere in recent years. Their approach could change how scientists study and predict the impact of climate change on extreme weather.