Deep learning for twelve hour precipitation forecasts
Can AI learn from atmospheric data and improve weather forecasting? The neural network MetNet-2 achieves this by forecasting the fast changing variable of precipitation up to 12 h ahead more accurately and efficiently than traditional models based on hand-coded physics.
Bibliographic Details
Main Authors: |
Lasse Espeholt,
Shreya Agrawal,
Casper Sønderby,
Manoj Kumar,
Jonathan Heek,
Carla Bromberg,
Cenk Gazen,
Rob Carver,
Marcin Andrychowicz,
Jason Hickey,
Aaron Bell,
Nal Kalchbrenner |
Format: | Article
|
Language: | English |
Published: |
Nature Portfolio
2022-09-01
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Series: | Nature Communications
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Online Access: | https://doi.org/10.1038/s41467-022-32483-x
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