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 Nino3 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.

Highlights

  • The tropics are regions of strong ocean-atmosphere interaction on seasonal and interannual time scales, so a good representation of observed tropical behaviour is a prime objective for coupled ocean-atmosphere models

  • As previous assessments focusing on the tropical Paci®c have established (Mechoso et al 1995 for sea surface temperature (SST) and precipitation seasonal cycles; Neelin et al 1992 for SST interannual variability; see the review by Delecluse et al 1997), it is dicult to develop coupled general circulation models (CGCMs) with the right balance of oceanic and atmospheric processes and interactions in the tropics

  • To broaden and update the previous assessments, two companion projects were initiated by the CLIVAR Numerical Experimentation Group 1 (NEG1): the El NinÄ o Simulation Intercomparison Project (ENSIP) and the Study of Tropical Oceans In CGCMs (STOIC). (NEG1 has subsequently evolved into the CLIVAR Working Group on Seasonal to Interannual Prediction, WGSIP.) SST, surface wind stress and upper ocean vertically averaged temperature (VAT) data from 21 CGCMs and two intermediate coupled models (Table 1) were gathered, along with observational analyses

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Summary

Introduction

The tropics are regions of strong ocean-atmosphere interaction on seasonal and interannual time scales, so a good representation of observed tropical behaviour is a prime objective for coupled ocean-atmosphere models. (NEG1 has subsequently evolved into the CLIVAR Working Group on Seasonal to Interannual Prediction, WGSIP.) SST, surface wind stress and upper ocean vertically averaged temperature (VAT) data from 21 CGCMs and two intermediate coupled models (Table 1) were gathered, along with observational analyses. These variables were selected because they are key ingredients in tropical ocean-atmosphere dynamics, in that SST strongly inuences tropical atmospheric circulation; surface wind stress drives the upper ocean circulation; the upper ocean supports large-scale internal waves that can transfer information long distances and inuence SST. This range of natural variability has to be borne in mind when assessing the models

The models and observational data
Annual mean climatology
Zonal wind stress
Equatorial SST
Levels of interannual variability
Indian and Atlantic Oceans
Composite wind stress anomalies
Summary and conclusions
Annual mean and annual cycle
Findings
Conclusions
Full Text
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