Robust Detection of the North-West African Upwelling From SST Images

Anass El Aouni (1) , Khalid Daoudi (1) , Khalid Minaoui (2) , Hussein Yahia (1)

1 GeoStat - Geometry and Statistics in acquisition data
2 LRIT - Laboratoire de Recherche Informatique et Télécommunications

Analysis and study of coastal upwelling using sea surface temperature (SST) satellite images is a common procedure because of its coast effectiveness (economic, time, frequency, and manpower). Developing on the Ekman theory, we propose a robust method to identify the upwelling regions along the northwest African margin. The proposed method comes to overcome the issues encountered in a recent method devoted for the same purpose and for the same upwelling system. Afterward, we show how our method can serve as a framework to study and monitor the spatio-temporal variability of the upwelling phenomenon in the studied region.

Mots clés: Upwelling identification and extraction; Upwelling index; Sea surface temperature (SST) images; Upwelling

Domaines: Dynamique Chaotique [nlin.CD]; Physique mathématique [math-ph]; Systèmes dynamiques [math.DS]; Mécanique des fluides [physics.class-ph]

Anass El Aouni, Khalid Daoudi, Khalid Minaoui, Hussein Yahia. Robust Detection of the North-West African Upwelling From SST Images. IEEE Geoscience and Remote Sensing Letters, In press, pp.1-4. ⟨10.1109/LGRS.2020.2983826⟩. ⟨hal-02565214⟩