Spatio-temporal metamodeling for West African monsoon

被引：10
|
作者：
Antoniadis, Anestis [1 ]
Helbert, Celine [1 ]
Prieur, Clementine [1 ]
Viry, Laurence [1 ]
机构：
[1] Univ Grenoble, Lab Jean Kuntzmann, F-38041 Grenoble, France
来源：
ENVIRONMETRICS | 2012年 / 23卷 / 01期
关键词：
spatio-temporal modeling; filtering; multivariate penalized regression; GENE-EXPRESSION DATA; LONGITUDINAL DATA; FUNCTIONAL DATA; REGRESSION; MODEL;
D O I：
10.1002/env.1134
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this paper, we propose a new approach for modeling and fitting high-dimensional response regression models in the setting of complex spatio-temporal dynamics. This study is motivated by investigating one of the major atmospheric phenomena, which drives the rainfall regime in Western Africa: West African Monsoon. We are particularly interested in studying the influence of sea surface temperatures in the Gulf of Guinea on precipitation in Saharan and sub-Saharan. Copyright (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码：24 / 36
页数：13
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