hal-00551303, version 2
Spatio-temporal metamodeling for West African monsoon
Anestis Antoniadis 1Céline Helbert 2Clémentine Prieur
1, 3, 4Laurence Viry 1
(2011-05-12)
Abstract: 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.
- 1: Université Joseph Fourier (Grenoble 1 UJF)
- Université Joseph Fourier - Grenoble I
- 2: Université Pierre Mendès France (Grenoble 2 UPMF)
- Université Pierre Mendès-France - Grenoble II
- 3: GdR MASCOT-NUM ((Méthodes d'Analyse Stochastique des Codes et Traitements Numériques))
- CNRS : GDR3179
- 4: MOISE (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- CNRS : UMR5224 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
- Domain : Mathematics/Statistics
Statistics/Statistics Theory - Keywords : metamodeling – West African monsoon – principal component analysis
- Available versions : v1 (2011-01-03) v2 (2011-07-25)
- hal-00551303, version 2
- http://hal.archives-ouvertes.fr/hal-00551303
- oai:hal.archives-ouvertes.fr:hal-00551303
- From: Clémentine Prieur
- Submitted on: Monday, 25 July 2011 20:11:52
- Updated on: Monday, 25 July 2011 21:02:49






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