ArticlesPublicationsublishers
 
 
 
 
 
 
 
 
STOIC: a study of coupled model climatology and variability in tropical ocean regions

M. Davey, M. Huddleston, K. Sperber, P. Braconnot, F. Bryan, D. Chen, R. Colman, C. Cooper, U. Cubasch, P. Delecluse, D. DeWitt, L. Fairhead, G. Flato, C. Gordon, T. Hogan, M. Ji, M. Kimoto, A. Kitoh, T. Knutson, M. Latif, H. Le Treut, T. Li, S. Manabe, C. Mechoso, G. Meehl, S. Power, E. Roeckner, L. Terray, A. Vintzileos, R. Voss, B. Wang, W. Washington, I. Yoshikawa, J. Yu, S. Yukimoto, S. Zebiak 
 

A1 Meteorological Office, Bracknell, London Road, Bracknell RG12 2SZ, UK
A2 PCMDI, Lawrence Livermore National Laboratory, Livermore, CA, USA
A3 Laboratoire de Modelisation du Climat et de l'Environnement, France
A4 National Center for Atmospheric Research, Boulder, CO, USA
A5 Lamont Doherty Earth Observatory, Palisades, NY, USA
A6 Bureau of Meteorology Research Centre, Melbourne, Australia
A7 Deutsches Klimarechenzentrum, Hamburg, Germany
A8 LODYC-ISPL, Paris, France
A9 Laboratoire de Meteorologie Dynamique, Paris, France
A10 Canadian Centre for Climate Modelling and Analysis, Victoria, Canada
A11 Naval Research Laboratory, Monterey, CA, USA
A12 National Centers for Environmental Prediction, Camp Springs, MD, USA
A13 Center for Climate System Research, Tokyo, Japan
A14 Meteorological Research Institute, Tsukuba, Japan
A15 Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
A16 Max-Planck-Institut für Meteorologie, Hamburg, Germany
A17 Earth Frontier Research System, Tokyo, Japan
A18 University of California Los Angeles, USA
A19 CERFACS, Toulouse, France
A20 University of Hawaii, Honolulu, HI, USA
A21 Japan Meteorological Agency, Tokyo, Japan
 

Abstract:

Abstract. We describe the behaviour of 23 dynamical ocean-atmosphere models, in the context of comparison with observations in a common framework. Fields of tropical sea surface temperature (SST), surface wind stress and upper ocean vertically averaged temperature (VAT) are assessed with regard to annual mean, seasonal cycle, and interannual variability characteristics. Of the participating models, 21 are coupled GCMs, of which 13 use no form of flux adjustment in the tropics. The models vary widely in design, components and purpose: nevertheless several common features are apparent. In most models without flux adjustment, the annual mean equatorial SST in the central Pacific is too cool and the Atlantic zonal SST gradient has the wrong sign. Annual mean wind stress is often too weak in the central Pacific and in the Atlantic, but too strong in the west Pacific. Few models have an upper ocean VAT seasonal cycle like that observed in the equatorial Pacific. Interannual variability is commonly too weak in the models: in particular, wind stress variability is low in the equatorial Pacific. Most models have difficulty in reproducing the observed Pacific 'horseshoe' pattern of negative SST correlations with interannual Niño3 SST anomalies, or the observed Indian-Pacific lag correlations. The results for the fields examined indicate that several substantial model improvements are needed, particularly with regard to surface wind stress.
 

 
 
 
 
 
 
Full text available here
The size of this document is 529 kilobytes.