Nature Communications (Sep 2022)

Deep learning for twelve hour precipitation forecasts

  • Lasse Espeholt,
  • Shreya Agrawal,
  • Casper Sønderby,
  • Manoj Kumar,
  • Jonathan Heek,
  • Carla Bromberg,
  • Cenk Gazen,
  • Rob Carver,
  • Marcin Andrychowicz,
  • Jason Hickey,
  • Aaron Bell,
  • Nal Kalchbrenner

DOI
https://doi.org/10.1038/s41467-022-32483-x
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

Read online

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.