Machine learning applications for weather and climate need greater focus on extremes

Peter A G Watson

doi:10.1088/1748-9326/ac9d4e

Machine learning applications for weather and climate need greater focus on extremes

Peter A G Watson^*

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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Abstract

[No abstract]

Original language	English
Article number	111004
Journal	Environmental Research Letters
Volume	17
Issue number	11
DOIs	https://doi.org/10.1088/1748-9326/ac9d4e
Publication status	Published - 7 Nov 2022

Bibliographical note

Funding Information:
I thank Peter Dueben for comments on an earlier draft of this manuscript. I also thank the editor and two anonymous reviewers for helpful comments. This work was supported by a NERC Independent Research Fellowship (Grant No. NE/S014713/1).

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title = "Machine learning applications for weather and climate need greater focus on extremes",

abstract = "[No abstract]",

author = "Watson, {Peter A G}",

note = "Funding Information: I thank Peter Dueben for comments on an earlier draft of this manuscript. I also thank the editor and two anonymous reviewers for helpful comments. This work was supported by a NERC Independent Research Fellowship (Grant No. NE/S014713/1).",

year = "2022",

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AU - Watson, Peter A G

N1 - Funding Information: I thank Peter Dueben for comments on an earlier draft of this manuscript. I also thank the editor and two anonymous reviewers for helpful comments. This work was supported by a NERC Independent Research Fellowship (Grant No. NE/S014713/1).

PY - 2022/11/7

Y1 - 2022/11/7

N2 - [No abstract]

AB - [No abstract]

U2 - 10.1088/1748-9326/ac9d4e

DO - 10.1088/1748-9326/ac9d4e

M3 - Article (Academic Journal)

SN - 1748-9326

VL - 17

JO - Environmental Research Letters

JF - Environmental Research Letters

IS - 11

M1 - 111004

ER -

Machine learning applications for weather and climate need greater focus on extremes

Abstract

Bibliographical note

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