Role of the ocean mixed layer processes in the response of the North Pacific winter SST and MLD to global warming in CGCMs

Bo Young Yim, Yign Noh, Sang Wook Yeh

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3 Citations (Scopus)

Abstract

It is investigated how the changes of winter sea surface temperature (SST) and mixed layer depth (MLD) under climate change projections are predicted differently in the North Pacific depending on the coupled general circulation models (CGCMs), and how they are related to the dynamical property of the simulated ocean mixed layer. For this purpose the dataset from eleven CGCMs reported to IPCC's AR4 are used, while detailed analysis is given to the MRI and MIROC models. Analysis of the CGCM data reveals that the increase of SST and the decrease of MLD in response to global warming tend to be smaller for the CGCM in which the ratio of ocean heat transport (OHT) to surface heat flux (SHF), R (={piep}OHT/SHF{piep}), is larger in the heat budget of the mixed layer. The negative correlation is found between the changes of OHT and SHF under global warming, which may weaken the response to global warming in the CGCM with larger R. It is also found that the models with low horizontal resolution tend to give broader western boundary currents, larger R, and the smaller changes of SST and MLD under global warming.

Original languageEnglish
Pages (from-to)1181-1190
Number of pages10
JournalClimate Dynamics
Volume38
Issue number5-6
DOIs
Publication statusPublished - 2012 Mar

Bibliographical note

Funding Information:
We acknowledge the international modeling groups for providing their data for analysis, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) for collecting and archiving the model data, the JSC/CLIVAR Working Group on Coupled Modeling (WGCM) and their Coupled Model Intercomparison Project (CMIP) and Climate Simulation Panel for organizing the model data analysis activity, and the IPCC WG1 TSU for technical support. The IPCC Data Archive at Lawrence Livermore National Laboratory is supported by the Office of Science, US Department of Energy. This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (MEST)” (NRF-2009-C1AAA001- 0093068).

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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