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hal-00551303, version 2

Spatio-temporal metamodeling for West African monsoon

Anestis Antoniadis 1, Céline Helbert 2, Clémentine Prieur () 134, Laurence Viry 1

Environmetrics 23, 1 (2012) 24-36

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
  • Comment : Special Issue: Spatio-Temporal Stochastic Modelling (METMAV)
  • Available versions :  v1 (2011-01-03) v2 (2011-07-25)
 
  • hal-00551303, version 2
  • oai:hal.archives-ouvertes.fr:hal-00551303
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  • Submitted on: Monday, 25 July 2011 20:11:52
  • Updated on: Saturday, 23 February 2013 16:41:38