Deep learning for twelve hour precipitation forecasts

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
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-32483-x

Internet

https://doi.org/10.1038/s41467-022-32483-x

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