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Journal article

Machine learning for weather and climate are worlds apart

Abstract:

Modern weather and climate models share a common heritage, and often even components, however they are used in different ways to answer fundamentally different questions. As such, attempts to emulate them using machine learning should reflect this. While the use of machine learning to emulate weather forecast models is a relatively new endeavour there is a rich history of climate model emulation. This is primarily because while weather modelling is an initial condition problem which intimatel...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rsta.2020.0098

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Atmos Ocean & Planet Physics
Role:
Author
ORCID:
0000-0002-5312-4950
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Name:
European Commission
Grant:
860100
More from this funder
Name:
Natural Environment Research Council
Grant:
NE/S005099/1
Publisher:
The Royal Society
Journal:
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences More from this journal
Volume:
379
Article number:
20200098
Publication date:
2021-02-15
Acceptance date:
2020-10-28
DOI:
EISSN:
1471-2962
ISSN:
1364-503X
Language:
English
Keywords:
Pubs id:
1140111
Local pid:
pubs:1140111
Deposit date:
2020-10-29

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