Open AccessOpportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI
Author(s) -
Matthew Chantry,
Hannah M. Christensen,
Peter Dueben,
T. N. Palmer
Publication year - 2021
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2020.0083
Subject(s) - computer science , artificial intelligence , machine learning , data science , meteorology , geography
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