Climate modeling
Site news
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Scholars across campus are leveraging AI to drive remarkable advancements in fields from robotics to neuroscience to mining, while fostering a cautious approach to the application of the technology.
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Stanford researchers found increased meltwater and rain explain 60% of a decades-long mismatch between predicted and observed temperatures in the ocean around Antarctica.
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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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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.
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At Stanford HAI’s recent fall conference, scholars showed how artificial intelligence is opening up new approaches to studying science.
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Artificial intelligence provides new evidence our planet will cross the global warming threshold of 1.5 degrees Celsius within 10 to 15 years. Even with low emissions, we could see 2 C of warming. But a future with less warming remains within reach.
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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.
