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.
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Online Access: | https://doi.org/10.1038/s41467-021-22004-7 https://doaj.org/article/90b71d0e5d8d456c9a9b232c71b85069 |
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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 |
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Nature Communications |
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12 |
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1 |
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1766326290100518912 |