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.
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 |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-09-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-32483-x |
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