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

Peter A G Watson

doi:10.1088/1748-9326/ac9d4e

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

Peter A G Watson^*

^*Corresponding author for this work

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

12 Citations (Scopus)

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Abstract

[No abstract]

Original language	English
Article number	111004
Number of pages	7
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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10.1088/1748-9326/ac9d4eLicence: CC BY

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title = "Machine learning applications for weather and climate predictions 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",

month = nov,

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doi = "10.1088/1748-9326/ac9d4e",

language = "English",

volume = "17",

journal = "Environmental Research Letters",

issn = "1748-9326",

publisher = "Institute of Physics Publishing",

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}

TY - JOUR

T1 - Machine learning applications for weather and climate predictions need greater focus on extremes

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]

UR - https://www.climatechange.ai/papers/neurips2023/29

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 predictions need greater focus on extremes

Abstract

Bibliographical note

UN SDGs

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