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Improving Atmospheric Forecasts with Machine Learning
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Improving Atmospheric Forecasts with Machine Learning
Improving Atmospheric Forecasts with Machine Learning
KW
Kate Wheeling
Kate Wheeling
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2 June 2020
journal article
Published by
American Geophysical Union (AGU)
in
Eos
Vol. 101
https://doi.org/10.1029/2020eo145068
Abstract
An efficient, low-resolution machine learning model can usefully predict the global atmospheric state as much as 3 days out.
Keywords
MODEL
RESOLUTION
EFFICIENT
GLOBAL ATMOSPHERIC
USEFULLY
IMPROVING ATMOSPHERIC
ATMOSPHERIC FORECASTS
FORECASTS WITH MACHINE