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| A Reconstructed Wind Stress Dataset for Climate Research over the Tropical Pacific during a 153-Year Period |
| ZHENG Fei,DU Juan,ZHU Jiang |
| ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; Graduate School of the Chinese Academy of Sciences, Beijing 100049,LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 |
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Abstract There are close relationships between the sea surface temperature (SST) and the surface wind over the tropical Pacific. To study the past climate variability over the tropical Pacific, the long-term monthly wind stress anomalies over the tropical Pacific for the period of 1856–2008 are reconstructed with an SVD (singular value decomposition)-based statistical atmospheric model, where the wind stress anomalies are slave and directly correspond to the SST anomalies. The verification results show that the reconstructed wind stress data have high correlations and a small root mean square (RMS) error with the three reanalysis/simulated surface wind datasets from the last 50 years. In addition, the simulated SST anomalies from an intermediate oceanic model (IOM), which is forced by the reconstructed wind stress, can simulate the realistic interannual and decadal variability of the ENSO (El Niño-Southern Oscillation); this indicates that this new long-term wind stress dataset is useful for various climate studies, especially for the large-scale interannual and decadal variability.
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Received: 18 May 2009
Revised: 31 July 2009
Accepted: 24 August 2009
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