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...
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ftdoajarticles:oai:doaj.org/article:ac649e73341b4888adb453bcc233f24a 2023-05-15T18:18:20+02:00 Seasonal extrema of sea surface temperature in CMIP6 models Y. Wang K. J. Heywood D. P. Stevens G. M. Damerell 2022-06-01T00:00:00Z https://doi.org/10.5194/os-18-839-2022 https://doaj.org/article/ac649e73341b4888adb453bcc233f24a EN eng Copernicus Publications https://os.copernicus.org/articles/18/839/2022/os-18-839-2022.pdf https://doaj.org/toc/1812-0784 https://doaj.org/toc/1812-0792 doi:10.5194/os-18-839-2022 1812-0784 1812-0792 https://doaj.org/article/ac649e73341b4888adb453bcc233f24a Ocean Science, Vol 18, Pp 839-855 (2022) Geography. Anthropology. Recreation G Environmental sciences GE1-350 article 2022 ftdoajarticles https://doi.org/10.5194/os-18-839-2022 2022-12-30T21:38:25Z 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 Directory of Open Access Journals: DOAJ Articles Pacific Ocean Science 18 3 839 855 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geography. Anthropology. Recreation G Environmental sciences GE1-350 |
spellingShingle |
Geography. Anthropology. Recreation G Environmental sciences GE1-350 Y. Wang K. J. Heywood D. P. Stevens G. M. Damerell Seasonal extrema of sea surface temperature in CMIP6 models |
topic_facet |
Geography. Anthropology. Recreation G Environmental sciences GE1-350 |
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 |
Y. Wang K. J. Heywood D. P. Stevens G. M. Damerell |
author_facet |
Y. Wang K. J. Heywood D. P. Stevens G. M. Damerell |
author_sort |
Y. Wang |
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://doaj.org/article/ac649e73341b4888adb453bcc233f24a |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Ocean Science, Vol 18, Pp 839-855 (2022) |
op_relation |
https://os.copernicus.org/articles/18/839/2022/os-18-839-2022.pdf https://doaj.org/toc/1812-0784 https://doaj.org/toc/1812-0792 doi:10.5194/os-18-839-2022 1812-0784 1812-0792 https://doaj.org/article/ac649e73341b4888adb453bcc233f24a |
op_doi |
https://doi.org/10.5194/os-18-839-2022 |
container_title |
Ocean Science |
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18 |
container_issue |
3 |
container_start_page |
839 |
op_container_end_page |
855 |
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1766194879244795904 |