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Interaction between mesoscale perturbations of sea surface temperature(SST meso)and wind stress(WS meso)has great influences on the ocean upwelling system and turbulent mixing in the atmospheric boundary layer.Using daily Quik-SCAT wind speed data and AMSR-E SST data,SST meso and WS meso fi elds in the west coast of South America are extracted by using a locally weighted regression method(LOESS).The spatial patts of SST meso and WS meso indicate strong mesoscale SST-wind stress coupling in the region.The coupling coeffi cient between SST meso and WS meso is about 0.009 5 N/(m 2.°C)in winter and 0.008 2 N/(m 2.°C)in summer.Based on mesoscale coupling relationships,the mesoscale perturbations of wind stress divergence(Div(WS meso))and curl(Curl(WS meso))can be obtained from the SST gradient perturbations,which can be further used to derive wind stress vector perturbations using the Tikhonov regularization method.The computational examples are presented in the west coast of South America and the patts of the reconstructed WS meso are highly consistent with SST meso,but the amplitude can be underestimated signifi cantly.By matching the spatially averaged maximum standard deviations of reconstructed WS meso magnitude and observations,a reasonable magnitude of WS meso can be obtained when a rescaling factor of 2.2 is used.As current ocean models forced by prescribed wind cannot adequately capture the mesoscale wind stress response,the empirical wind stress perturbation model developed in this study can be used to take into account the feedback effects of the mesoscale wind stress-SST coupling in ocean modeling.Further applications are discussed for taking into account the feedback effects of the mesoscale coupling in large-scale climate models and the uncoupled ocean models.