Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI-Reference-Cited by-同舟云学术

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

Published:2021-02-15 Issue:2194 Volume:379 Page:20200083
ISSN:1364-503X
Container-title:Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
language:en
Short-container-title:Phil. Trans. R. Soc. A.

Author:

Chantry Matthew¹^ORCID,Christensen Hannah¹,Dueben Peter²^ORCID,Palmer Tim¹

Affiliation:

1. Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, UK

2. European Centre for Medium Range Weather Forecasts, Reading, UK

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’.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Link

https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2020.0083

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