Nature Communications (May 2021)

Deep learning for bias correction of MJO prediction

  • H. Kim,
  • Y. G. Ham,
  • Y. S. Joo,
  • S. W. Son

DOI
https://doi.org/10.1038/s41467-021-23406-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 7

Abstract

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The Madden-Julian Oscillation (MJO) is a crucial component of the tropical weather system, but forecasting it has been challenging. Here, the authors present a deep learning bias correction method that significantly improves multi-model forecasts of the MJO amplitude and phase for up to four weeks.