Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI

In September 2019, a workshop was held to highlight the growing area of applying machine learning techniques to improve weather and climate prediction. In this introductory piece, we outline the motivations, opportunities and challenges ahead in this exciting avenue of research. This article is part...

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Bibliographic Details
Published in:	Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2021-04, Vol.379 (2194), p.20200083-20200083
Main Authors:	Chantry, Matthew, Christensen, Hannah, Dueben, Peter, Palmer, Tim
Format:	Article
Language:	eng
Online Access:	Get full text
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Summary:	In September 2019, a workshop was held to highlight the growing area of applying machine learning techniques to improve weather and climate prediction. In this introductory piece, we outline the motivations, opportunities and challenges ahead in this exciting avenue of research. This article is part of the theme issue 'Machine learning for weather and climate modelling'.
ISSN:	1364-503X 1471-2962