Submitted as: model evaluation paper
27 Oct 2022
Submitted as: model evaluation paper |  | 27 Oct 2022
Status: this preprint is currently under review for the journal GMD.

Arctic Ocean Simulations in the CMIP6 Ocean Model Intercomparison Project (OMIP)

Qi Shu, Qiang Wang, Chuncheng Guo, Zhenya Song, Shizhu Wang, Yan He, and Fangli Qiao

Abstract. Arctic Ocean simulations in 19 global ocean-sea ice models participating in the Ocean Model Intercomparison Project (OMIP) of the CMIP6 are evaluated in this paper. Our results indicate that no significant improvements were achieved in the Arctic Ocean simulations from the previous Coordinated Ocean-ice Reference Experiments phase II (CORE-II) to the current OMIP. Large model biases and inter-model spread exist in the simulated mean state of the halocline and Atlantic Water layer in the OMIP models. Most of the OMIP models suffer from too thick and deep Atlantic Water layer, too deep halocline base, and large fresh biases in the halocline. The OMIP models largely agree on the inter-annual and decadal variability of the Arctic Ocean freshwater content and volume/heat/freshwater transports through the Arctic Ocean gateways. The models can reproduce observed changes in volume, heat and freshwater transports through the gateways except for the Bering Strait. Overall, the performance of the Arctic Ocean simulations is similar between the CORE2-forced OMIP-1 and JRA55-do-forced OMIP-2.

Qi Shu et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-260', Hannah Zanowski, 10 Dec 2022
  • RC2: 'Comment on gmd-2022-260', Jonathan W. Rheinlænder, 14 Dec 2022

Qi Shu et al.


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Short summary
Ocean models are often used for scientific studies on the Arctic Ocean. Here the Arctic Ocean simulations by state-of-the-art ocean-sea ice models participating in the OMIP were evaluated. The simulations on Arctic Ocean hydrography, freshwater content, stratification, and gateway transports were assessed and the common biases were detected. We also compared the model results with that in the previous project, and the simulations forced by different atmospheric forcing were also evaluated.