Seasonal extrema of sea surface temperature in CMIP6 models
CMIP6 model sea surface temperature (SST) seasonal extrema averaged over 1981–2010 are assessed against the World Ocean Atlas (WOA18) observational climatology. We propose a mask to identify and exclude regions of large differences between three commonly used climatologies (WOA18, WOCE-Argo Global H...
Published in: | Ocean Science |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2022
|
Subjects: | |
Online Access: | https://doi.org/10.5194/os-18-839-2022 https://noa.gwlb.de/receive/cop_mods_00061353 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060835/os-18-839-2022.pdf https://os.copernicus.org/articles/18/839/2022/os-18-839-2022.pdf |
id |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00061353 |
---|---|
record_format |
openpolar |
spelling |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00061353 2023-05-15T18:18:19+02:00 Seasonal extrema of sea surface temperature in CMIP6 models Wang, Yanxin Heywood, Karen J. Stevens, David P. Damerell, Gillian M. 2022-06 electronic https://doi.org/10.5194/os-18-839-2022 https://noa.gwlb.de/receive/cop_mods_00061353 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060835/os-18-839-2022.pdf https://os.copernicus.org/articles/18/839/2022/os-18-839-2022.pdf eng eng Copernicus Publications Ocean Science -- http://www.bibliothek.uni-regensburg.de/ezeit/?2183769 -- http://www.copernicus.org/EGU/os/os.html -- 1812-0792 https://doi.org/10.5194/os-18-839-2022 https://noa.gwlb.de/receive/cop_mods_00061353 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060835/os-18-839-2022.pdf https://os.copernicus.org/articles/18/839/2022/os-18-839-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/os-18-839-2022 2022-06-12T23:11:43Z CMIP6 model sea surface temperature (SST) seasonal extrema averaged over 1981–2010 are assessed against the World Ocean Atlas (WOA18) observational climatology. We propose a mask to identify and exclude regions of large differences between three commonly used climatologies (WOA18, WOCE-Argo Global Hydrographic climatology (WAGHC) and the Hadley Centre Sea Ice and Sea Surface Temperature data set (HadISST)). The biases in SST seasonal extrema are largely consistent with the annual mean SST biases. However, the amplitude and spatial pattern of SST bias vary seasonally in the 20 CMIP6 models assessed. Large seasonal variations in the SST bias occur in eastern boundary upwelling regions, polar regions, the North Pacific and the eastern equatorial Atlantic. These results demonstrate the importance of evaluating model performance not simply against annual mean properties. Models with greater vertical resolution in their ocean component typically demonstrate better representation of SST extrema, particularly seasonal maximum SST. No significant relationship of SST seasonal extrema with horizontal ocean model resolution is found. Article in Journal/Newspaper Sea ice Niedersächsisches Online-Archiv NOA Pacific Ocean Science 18 3 839 855 |
institution |
Open Polar |
collection |
Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Wang, Yanxin Heywood, Karen J. Stevens, David P. Damerell, Gillian M. Seasonal extrema of sea surface temperature in CMIP6 models |
topic_facet |
article Verlagsveröffentlichung |
description |
CMIP6 model sea surface temperature (SST) seasonal extrema averaged over 1981–2010 are assessed against the World Ocean Atlas (WOA18) observational climatology. We propose a mask to identify and exclude regions of large differences between three commonly used climatologies (WOA18, WOCE-Argo Global Hydrographic climatology (WAGHC) and the Hadley Centre Sea Ice and Sea Surface Temperature data set (HadISST)). The biases in SST seasonal extrema are largely consistent with the annual mean SST biases. However, the amplitude and spatial pattern of SST bias vary seasonally in the 20 CMIP6 models assessed. Large seasonal variations in the SST bias occur in eastern boundary upwelling regions, polar regions, the North Pacific and the eastern equatorial Atlantic. These results demonstrate the importance of evaluating model performance not simply against annual mean properties. Models with greater vertical resolution in their ocean component typically demonstrate better representation of SST extrema, particularly seasonal maximum SST. No significant relationship of SST seasonal extrema with horizontal ocean model resolution is found. |
format |
Article in Journal/Newspaper |
author |
Wang, Yanxin Heywood, Karen J. Stevens, David P. Damerell, Gillian M. |
author_facet |
Wang, Yanxin Heywood, Karen J. Stevens, David P. Damerell, Gillian M. |
author_sort |
Wang, Yanxin |
title |
Seasonal extrema of sea surface temperature in CMIP6 models |
title_short |
Seasonal extrema of sea surface temperature in CMIP6 models |
title_full |
Seasonal extrema of sea surface temperature in CMIP6 models |
title_fullStr |
Seasonal extrema of sea surface temperature in CMIP6 models |
title_full_unstemmed |
Seasonal extrema of sea surface temperature in CMIP6 models |
title_sort |
seasonal extrema of sea surface temperature in cmip6 models |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/os-18-839-2022 https://noa.gwlb.de/receive/cop_mods_00061353 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060835/os-18-839-2022.pdf https://os.copernicus.org/articles/18/839/2022/os-18-839-2022.pdf |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
Ocean Science -- http://www.bibliothek.uni-regensburg.de/ezeit/?2183769 -- http://www.copernicus.org/EGU/os/os.html -- 1812-0792 https://doi.org/10.5194/os-18-839-2022 https://noa.gwlb.de/receive/cop_mods_00061353 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060835/os-18-839-2022.pdf https://os.copernicus.org/articles/18/839/2022/os-18-839-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/os-18-839-2022 |
container_title |
Ocean Science |
container_volume |
18 |
container_issue |
3 |
container_start_page |
839 |
op_container_end_page |
855 |
_version_ |
1766194868756938752 |