Researchers at Stanford and Colorado State universities used machine learning to determine how much global warming has contributed to heatwaves in the U.S. and elsewhere in recent years. Their approach proved highly accurate, and could change how scientists study and predict the impact of climate change on weather.
Read the story: stanford.io/4dsl6At
Read the study: science.org/doi/10.1126/sciadv.adl3242
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Key Moments
0:00 Challenge to attribute extreme heat to climate change
0:41 Using AI and machine learning to "experiment" on historical weather
1:22 The high costs of extreme heat on health, environment, and economy
1:56 Limitations of AI in climate change attribution
2:08 Opening up new research opportunities
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