Predicting Chlorophyll-A in the Mauritanian-Senegalese Coastal Upwelling from Tropical Sea Surface Temperature

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Abstract

The Mauritanian-Senegalese Coastal Upwelling exhibits strong interannual variability, which has been found to be driven by El Niño and the Southern Oscillation (ENSO). In addition, ENSO has been found to be driven by the Indian Ocean and Atlantic Sea Surface Temperature (SST) variability. Nevertheless, how all these basins impact on the upwelling predictability has not been analyzed so far. Using a satellite product of surface chlorophyll-a as a proxy of marine productivity, this work makes an assessment of the predictability of the Mauritanian-Senegalese Coastal Upwelling marine ecosystem. Different statistical approaches are used to evaluate the relative contribution of the tropical basins, including the Pacific, Indian, equatorial and Tropical North Atlantic SSTs. Results indicate that although most of the upwelling variability stands for ENSO, the Indian and Atlantic contributions play a fundamental role in shaping the seasonal prediction skill. These results may have strong implications for fisheries and marine ecosystem management in the region.

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