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Seasonal extrema of sea surface temperature in CMIP6 models
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  • Yanxin Wang,
  • Karen J. Heywood,
  • David P. Stevens,
  • Gillian Mary Damerell
Yanxin Wang
University of East Anglia

Corresponding Author:[email protected]

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Karen J. Heywood
University of East Anglia
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David P. Stevens
University of East Anglia
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Gillian Mary Damerell
University of East Anglia
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Abstract

CMIP6 model sea surface temperature (SST) seasonal extrema averaged over 1980-2010 are assessed against the World Ocean Atlas (WOA18) observational climatology. 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 and polar regions, 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 with horizontal ocean model resolution is found.