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Remote forcing of Indian Ocean warming on Northwest Pacific during E1 Nino decaying years: a FOAM model approach
引用本文:胡海波,洪晓媛,张媛,杨修群,刘伟,卢华国,杨建玲.Remote forcing of Indian Ocean warming on Northwest Pacific during E1 Nino decaying years: a FOAM model approach[J].中国海洋与湖沼学报,2013(6):1363-1371.
作者姓名:胡海波  洪晓媛  张媛  杨修群  刘伟  卢华国  杨建玲
基金项目:Supported by the National Basic Research Program of China (973 Program) (Nos. 2010CB428504, 2012CB956002), the National Natural Science Foundation of China (Nos. 40906005, 41105059, 41065005, GYHY201106017, GYHY201306027), and the National Key Technology Research and Development Program (No. 2009BAC51 B01 ) We appreciate http://nomads.ncdc.noaa.gov for providing global monthly mean NCEP-2 data. We thank Professor WU Lixin for the guidance in FOAM1.5 used in this article.
摘    要:This paper attempts to analyze in detail the remote influence of the Indian Ocean Basin warming on the Northwest Pacific (NWP) during the year of decaying E1 Nifio. Observation data and the Fast Ocean- Atmosphere coupled Model 1.5 were used to investigate the triggering conditions under which the remote influence is formed between the positive sea surface temperature (SST) anomaly in the North Indian Ocean and the Anomalous Northwest Pacific anticyclone (ANWPA). Our research show that it is only when there is a contributory background wind field over the Indian Ocean, i,e., when the Indian Summer Monsoon (ISM) reaches its peak, that the warmer SST anomaly in the North Indian Ocean incites significant easterly wind anomalies in the lower atmosphere of the Indo-West tropical Pacific. This then produces the remote influence on the ANWPA. Therefore, the SST anomaly in the North Indian Ocean might interfere with the prediction of the East Asia Summer Monsoon in the year of decaying E1 Nifio. Both the sustaining effect of local negative SST anomalies in the NWP, and the remote effect of positive SST anomalies in the North Indian Ocean on the ANWPA, should be considered in further research.

关 键 词:西北太平洋  北印度洋  耦合模型  远程  腐烂  厄尔尼诺  变暖  SST异常
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