Abstract
The variability of the East Asian summer monsoon (EASM) is studied using a partially coupled climate model (PCCM) in which the ocean component is driven by observed monthly mean wind stress anomalies added to the monthly mean wind stress climatology from a fully coupled control run. The thermodynamic coupling between the atmospheric and oceanic components is the same as in the fully coupled model and, in particular, sea surface temperature (SST) is a fully prognostic variable. The results show that the PCCM simulates the observed SST variability remarkably well in the tropical and North Pacific and Indian Oceans. Analysis of the rainfall-SST and rainfall-SST tendency correlation shows that the PCCM exhibits local air-sea coupling as in the fully coupled model and closer to what is seen in observations than is found in an atmospheric model driven by observed SST. An ensemble of experiments using the PCCM is analysed using a multivariate EOF analysis to identify the two major modes of variability of the EASM. The PCCM simulates the spatial pattern of the first two modes seen in the ERA40 reanalysis as well as part of the variability of the first principal component (correlation up to 0.5 for the model ensemble mean). Different from previous studies, the link between the first principal component and ENSO in the previous winter is found to be robust for the ensemble mean throughout the whole period of 1958–2001. Individual ensemble members nevertheless show the breakdown in the relationship before the 1980’s as seen in the observations.
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Acknowledgments
This work has been funded by the BMBF MiKlip Project MODINI and GEOMAR. We are grateful to the Rechnenzentrum of Universität Kiel for the use of computer time. We also thank two anonymous reviewers for their helpful comments. The atmospheric model (ECHAM5) runs were performed at the Northern Germany High Performance Computing Center (HLRN).
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Ding, H., Greatbatch, R.J., Park, W. et al. The variability of the East Asian summer monsoon and its relationship to ENSO in a partially coupled climate model. Clim Dyn 42, 367–379 (2014). https://doi.org/10.1007/s00382-012-1642-3
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DOI: https://doi.org/10.1007/s00382-012-1642-3