Marginal ice zone fraction benchmarks sea ice and climate model skill

Climate models struggle to track the response of Arctic sea ice to warming, leading to efforts to improve sea-ice models. Here the author shows standard model metrics are poor judges of the impact of model improvements, but a new one, marginal ice zone fraction, is optimally suited to this task.

Bibliographic Details
Published in:Nature Communications
Main Author: Christopher Horvat
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2021
Subjects:
Q
Online Access:https://doi.org/10.1038/s41467-021-22004-7
https://doaj.org/article/90b71d0e5d8d456c9a9b232c71b85069
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spelling ftdoajarticles:oai:doaj.org/article:90b71d0e5d8d456c9a9b232c71b85069 2023-05-15T14:54:34+02:00 Marginal ice zone fraction benchmarks sea ice and climate model skill Christopher Horvat 2021-04-01T00:00:00Z https://doi.org/10.1038/s41467-021-22004-7 https://doaj.org/article/90b71d0e5d8d456c9a9b232c71b85069 EN eng Nature Portfolio https://doi.org/10.1038/s41467-021-22004-7 https://doaj.org/toc/2041-1723 doi:10.1038/s41467-021-22004-7 2041-1723 https://doaj.org/article/90b71d0e5d8d456c9a9b232c71b85069 Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021) Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41467-021-22004-7 2022-12-31T13:55:00Z Climate models struggle to track the response of Arctic sea ice to warming, leading to efforts to improve sea-ice models. Here the author shows standard model metrics are poor judges of the impact of model improvements, but a new one, marginal ice zone fraction, is optimally suited to this task. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Nature Communications 12 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
spellingShingle Science
Q
Christopher Horvat
Marginal ice zone fraction benchmarks sea ice and climate model skill
topic_facet Science
Q
description Climate models struggle to track the response of Arctic sea ice to warming, leading to efforts to improve sea-ice models. Here the author shows standard model metrics are poor judges of the impact of model improvements, but a new one, marginal ice zone fraction, is optimally suited to this task.
format Article in Journal/Newspaper
author Christopher Horvat
author_facet Christopher Horvat
author_sort Christopher Horvat
title Marginal ice zone fraction benchmarks sea ice and climate model skill
title_short Marginal ice zone fraction benchmarks sea ice and climate model skill
title_full Marginal ice zone fraction benchmarks sea ice and climate model skill
title_fullStr Marginal ice zone fraction benchmarks sea ice and climate model skill
title_full_unstemmed Marginal ice zone fraction benchmarks sea ice and climate model skill
title_sort marginal ice zone fraction benchmarks sea ice and climate model skill
publisher Nature Portfolio
publishDate 2021
url https://doi.org/10.1038/s41467-021-22004-7
https://doaj.org/article/90b71d0e5d8d456c9a9b232c71b85069
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
op_relation https://doi.org/10.1038/s41467-021-22004-7
https://doaj.org/toc/2041-1723
doi:10.1038/s41467-021-22004-7
2041-1723
https://doaj.org/article/90b71d0e5d8d456c9a9b232c71b85069
op_doi https://doi.org/10.1038/s41467-021-22004-7
container_title Nature Communications
container_volume 12
container_issue 1
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