Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps

  • Authors:

  • S. Sawadogo;J. Brajard;A. Niang;C. Lathuiliere;M. Crépon;S. Thiria

  • Affiliations:

  • Ecole Polytechnique de Thiès, Université de Thiès, Thiès, Sénégal;IPSL, LOCEAN, Université Paris 6, Paris, France;Ecole Supérieure Polytechnique, Université Cheikh Anta Diop de Dakar, Dakar Fann, Sénégal;SHOM and IPSL, LOCEAN, Université Paris 6, Paris, France;IPSL, LOCEAN, Université Paris 6, Paris, France;IPSL, LOCEAN, Université Paris 6, Paris, France

  • Venue:
  • IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
  • Year:
  • 2009

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Abstract

The Senegalo-Mauritanian upwelling is a very productive upwelling occurring along the West coast of Africa. Its seasonal and inter-annual variability south of 20°N was analyzed by processing ocean color data and sea surface temperature provided by satellite sensors. We used a classification methodology consisting in a neural network topological map and a hierarchical ascendant classification. Four classes can explain most of the variability of the upwelling. Its extent is maximum in February-March, minimum in August September. The variability is linked to that of the wind. The classes can be considered as statistical indices allowing us to investigate the variability of the upwelling.