Open AccessNext-Generation Climate Models Could Learn, Improve on the Fly
Author(s) -
Sarah Stanley
Publication year - 2018
Publication title -
eos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1029/2018eo093857
Subject(s) - on the fly , computer science , operating system
Scientists propose development of new models that use machine learning techniques to reduce uncertainties in climate predictions.
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