hal-00551303, version 2
Spatio-temporal metamodeling for West African monsoon
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 I
- 2:
- Université Pierre-Mendès-France - Grenoble II
- 3:
- CNRS : GDR3179
- 4:
- 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
- http://hal.archives-ouvertes.fr/hal-00551303
- oai:hal.archives-ouvertes.fr:hal-00551303
- From:
- Submitted on: Monday, 25 July 2011 20:11:52
- Updated on: Saturday, 23 February 2013 16:41:38




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