Preprints
https://doi.org/10.5194/os-2021-102
https://doi.org/10.5194/os-2021-102

  27 Oct 2021

27 Oct 2021

Review status: this preprint is currently under review for the journal OS.

Seasonal extrema of sea surface temperature in CMIP6 models

Yanxin Wang, Karen J. Heywood, David P. Stevens, and Gillian M. Damerell Yanxin Wang et al.
  • Centre for Ocean and Atmospheric Sciences, University of East Anglia, Norwich, UK

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. 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 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.

Yanxin Wang et al.

Status: open (until 25 Dec 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Yanxin Wang et al.

Yanxin Wang et al.

Viewed

Total article views: 229 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
186 36 7 229 22 0 1
  • HTML: 186
  • PDF: 36
  • XML: 7
  • Total: 229
  • Supplement: 22
  • BibTeX: 0
  • EndNote: 1
Views and downloads (calculated since 27 Oct 2021)
Cumulative views and downloads (calculated since 27 Oct 2021)

Viewed (geographical distribution)

Total article views: 230 (including HTML, PDF, and XML) Thereof 230 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 01 Dec 2021
Download
Short summary
It is important that climate models give accurate projections of future extremes in summer and winter sea surface temperature, because these affect many features of the global climate system. Our results demonstrate that some models would give large errors if used for future projections of these features, and models with more detailed representation of vertical structure in the ocean tend to have a better representation of sea surface temperature, particularly in summer.