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A Reconstructed Wind Stress Dataset for Climate Research over the Tropical Pacific during a 153-Year Period 被引量:3

A Reconstructed Wind Stress Dataset for Climate Research over the Tropical Pacific during a 153-Year Period
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摘要 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 Nio-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. 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 Ni?o-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.
出处 《Atmospheric and Oceanic Science Letters》 2009年第5期277-283,共7页 大气和海洋科学快报(英文版)
基金 supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (Grant Nos.KZCX2-YW-202 and KZCX1-YW-12-03) the National Basic Research Program of China (Grant No.2006CB403600) the National Natural Sciences Foundation of China (Grant Nos.40805033 and 40221503) Chinese COPES project (GYHY-200706005)
关键词 reconstructed wind stress statistical atmospheric model ENSO reconstructed wind stress statistical atmospheric model ENSO
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