Spatio-temporal prediction for West African monsoon

Anestis Antoniadis (1) , Céline Helbert (2) , Clémentine Prieur (1, 3, 4) , Laurence Viry (1)

1 UJF - Université Joseph Fourier - Grenoble 1
2 UPMF - Université Pierre Mendès France - Grenoble 2
3 GdR MASCOT-NUM - Méthodes d'Analyse Stochastique des Codes et Traitements Numériques
4 MOISE - Modelling, Observations, Identification for Environmental Sciences

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.

Mots clés: Spatio-temporal modeling; Filtering; Multivariate penelized regression

Domaines: Statistiques [math.ST]; Théorie [stat.TH]

Anestis Antoniadis, Céline Helbert, Clémentine Prieur, Laurence Viry. Spatio-temporal prediction for West African monsoon. 2011. ⟨hal-00551303v1⟩