Cited by 25Climate variability and modelsOceanographic and Atmospheric ProcessesMeteorological Phenomena and Simulations

Seasonal extrema of sea surface temperature in CMIP6 models

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Wang, Yanxin, Heywood, Karen J., Stevens, David P., Damerell, Gillian M.·2022·Ocean Science

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Abstract

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.

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Cited by

Sorted by citations

Authors
Wang, Y., Heywood, K. J., Stevens, D. P., & Damerell, G. M.
Affiliations
University of East Anglia (GB)
Corresponding author
Wang, Yanxin
Venue
Ocean Science
Published
2022-06-08
Volume
18
Issue
3
Pages
839-855
ISSN
  • 1812-0784 (ISSN-L)
  • 1812-0792
OpenAlex
W4281706819
Cited by
25
References
3
Citations by year
2026: 2 · 2025: 7 · 2024: 7 · 2023: 6 · 2022: 2 · 2021: 1
FWCI
2.19
Type
journal article
Language
en
Open access
Locations
  • Ocean science (publishedVersion, cc-by)
  • UEA Digital Repository (University of East Anglia) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • China Scholarship Council (201706310146)
  • H2020 European Research Council
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords
sea surface temperature, CMIP6, model evaluation, World Ocean Atlas, HadISST, SST bias, eastern boundary upwelling, climate model intercomparison

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