Atmospheric sciences
Site news
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A new way to measure hurricanes using earthquake-monitoring equipment could improve storm forecasting, support public safety, and enhance understanding of Earth’s atmosphere.
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The U.S. Department of Energy announced the first phase of funding for projects using artificial intelligence to tackle the nation’s most complex science and technology challenges, including six led by Stanford and SLAC National Accelerator Laboratory.
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Ripples of air known as atmospheric gravity waves can influence the polar vortex, severe winter weather, and long-term climate patterns. Using AI and machine learning, researchers have developed a way to realistically represent their effects in global climate models.
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What drives atmospheric rivers? Da Yang explains how these "rivers in the sky" gain and lose momentum, and how researchers are studying their physical properties to improve forecasts and reduce risks.
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An expert in modeling global climate discusses how new data and new techniques are providing a clearer glimpse of our atmospheric future than ever before.
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New research underscores the close relationship between dust plumes transported from the Sahara Desert in Africa and rainfall from tropical cyclones along the U.S. Gulf Coast and Florida.
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Yuan Wang seeks to understand how particle pollution from vehicles, industry, and wildfires affects our future climate and extreme weather events like hurricanes.
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For Aditi Sheshadri, an assistant professor of Earth system science, a career studying atmospheric dynamics launched from an early interest in space propulsion.
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Stanford scientists are among a growing number of researchers harnessing artificial intelligence techniques to bring more realistic representations of ubiquitous atmospheric ripples into global climate models.
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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.
