Seasonal extrema of sea surface temperature in CMIP6 models
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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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Contrary to Wang et al. (2022), we did not find important differences considering the seasonal performance of the CMIP6 GCMs under study.
“However, contrary to Wang et al. (2022) [57], we did not find important differences considering the seasonal performance of the CMIP6 GCMs under study.”
From Examining the ability of CMIP6 models to reproduce the upwelling SST imprint in the Eastern Boundary Upwelling Systems (2022) · cites this paper as Wang et al. (2022) [57]
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Sorted by citations
Varela, R., DeCastro, M., Rodriguez-Diaz, L., Dias, J. M., & Gómez-Gesteira, M. (2022) · Journal of Marine Science and Engineering · doi:10.3390/jmse10121970 · Cited by 9 · see citing works
- 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
- Publisher
- Copernicus GmbH
- 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
- gold
- doi.org
- Licence
- 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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