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Philosophical Transactions of the Royal Society A 2194: Theme issue ‘Machine learning for weather and climate modelling’

9781782525097
Publisher: The Royal Society
 
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Format: Book- Paperback
ISBN-13: 9781782525097
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Author: compiled and edited by Matthew Chantry, Hannah Christensen, Peter Dueben and Tim Palmer
Publication Date: 05-Apr-2021
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The recent rise of machine learning begs the question of how these tools can help improve weather and climate forecasting. In this theme issue, experts from weather and climate modelling and machine learning highlight and address the exciting challenges found across a wide range of problems within this field. This issue includes review articles capturing the current state of the science alongside original research. Articles tackle: data assimilation (deducing the current state of the atmosphere); forecasting the earth system; and improving existing models by post-processing their outputs to improve accuracy.

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