Open AccessImproving Atmospheric Forecasts with Machine Learning
Author(s) -
Kate Wheeling
Publication year - 2020
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2020eo145068
Subject(s) - environmental science , meteorology , computer science , physics
An efficient, low-resolution machine learning model can usefully predict the global atmospheric state as much as 3 days out.
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