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Evaluation of the Eastern Equatorial Pacific Sst Seasonal Cycle in Cmip5 Models : Volume 11, Issue 2 (10/04/2014)

By Song, Z.

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Book Id: WPLBN0004020772
Format Type: PDF Article :
File Size: Pages 19
Reproduction Date: 2015

Title: Evaluation of the Eastern Equatorial Pacific Sst Seasonal Cycle in Cmip5 Models : Volume 11, Issue 2 (10/04/2014)  
Author: Song, Z.
Volume: Vol. 11, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Qiao, F., Zhang, L., Liu, H., Song, Z., & Wang, C. (2014). Evaluation of the Eastern Equatorial Pacific Sst Seasonal Cycle in Cmip5 Models : Volume 11, Issue 2 (10/04/2014). Retrieved from

Description: First Institute of Oceanography, State Oceanic Administration, Qingdao, China. The annual cycle of sea surface temperature (SST) in the eastern equatorial Pacific (EEP) with the largest amplitude in the tropical oceans is poorly represented in the coupled general circulation models (CGCMs) of the Coupled Model Intercomparison Project phase 3 (CMIP3). In this study, 18 models from CMIP5 projects are evaluated in simulating the annual cycle in the EEP. Fourteen models are able to simulate the annual cycle, and four still show erroneous information in the simulation, which suggests that the performances of CGCMs have been improved. The results of multi-model ensemble (MME) mean show that CMIP5 CGCMs can capture the annual cycle signal in the EEP with correlation coefficients up to 0.9. For amplitude simulations, EEP region 1 (EP1) near the eastern coast shows weaker results than observations due to the large warm SST bias from the southeastern tropical Pacific in the boreal autumn. In EEP region 2 (EP2) near the central equatorial Pacific, the simulated amplitudes are nearly the same as the observations because of the presence of a quasi-constant cold bias associated with poor cold tongue climatology simulation in the CGCMs. To improve CGCMs in the simulation of a realistic SST seasonal cycle, local and remote climatology SST biases that exist in both CMIP3 and CMIP5 CGCMs must be resolved at least for the simulation in the central equatorial Pacific and the southeastern tropical Pacific.

Evaluation of the eastern equatorial Pacific SST seasonal cycle in CMIP5 models

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