Applying satellite remote sensing to predicting 1999-2000 La Nina

被引：4

作者：

Chen, D ^{[1
]}

机构：

[1] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA

来源：

REMOTE SENSING OF ENVIRONMENT | 2001年 / 77卷 / 03期

基金：

美国国家航空航天局; 美国海洋和大气管理局;

关键词：

remote sensing; ENSO prediction; data assimilation;

D O I：

10.1016/S0034-4257(01)00216-4

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The usability of altimeter sea level data (TOPEX/POSEIDON) and scatterometer wind data (QuikSCAT) in El Nino and the Southern Oscillation (ENSO) prediction is investigated with the latest version of the Lamont forecast model. The emphasis of this study is on the effectiveness of these data sets in initializing the model to forecast the 1999-2000 La Nina conditions. Both the altimeter and scatterometer observations helped to improve the model, with the former being more effective for this period. It is possible and extremely useful to apply these data to real-time ENSO forecasting. In principle, it is advisable to assimilate multiple data sets so that they can complement one another in providing the correct initial conditions for the model. (C) 2001 Elsevier Science Inc. All rights reserved.

引用

页码：275 / 278

页数：4

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