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Researchers developed an AI model called ClimateNet to analyze historical weather data. ClimateNet identified over 500 previously undocumented extreme weather events between 1979 and 2019, including heatwaves, cold spells, and extreme precipitation.
This AI-powered approach improves our understanding of climate change impacts and enhances future climate predictions.
The study demonstrates the potential of AI as a valuable tool in climate science, revealing hidden historical climate data. This new information is crucial for adapting to and mitigating the effects of climate change.
Researchers developed an AI model called ClimateNet to analyze historical weather data. ClimateNet identified over 500 previously undocumented extreme weather events between 1979 and 2019, including heatwaves, cold spells, and extreme precipitation.
This AI-powered approach improves our understanding of climate change impacts and enhances future climate predictions.
The study demonstrates the potential of AI as a valuable tool in climate science, revealing hidden historical climate data. This new information is crucial for adapting to and mitigating the effects of climate change.