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

作　　者：Zheng Fei Du Juan Zhu Jiang 

机构地区：[1]International Center for Climate and Environment Science (ICCES), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China [2]Graduate School of the Chinese Academy of Sciences, Beijing 100049, China [3]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

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)

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.

关 键 词：reconstructed wind stress statistical atmospheric model ENSO 

分 类 号：P732[天文地球—海洋科学]