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. 2021 Apr 5;379(2194):20200083.
doi: 10.1098/rsta.2020.0083. Epub 2021 Feb 15.

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

Matthew Chantry  1 , Hannah Christensen  1 , Peter Dueben  2 , Tim Palmer  1
Affiliations

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

Matthew Chantry et al. Philos Trans A Math Phys Eng Sci. .

Abstract

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'.

Keywords: climate modelling; machine learning; weather prediction.

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Conflict of interest statement

We declare we have no competing interests.

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