Articles | Volume 12, issue 1
https://doi.org/10.5194/ascmo-12-173-2026
https://doi.org/10.5194/ascmo-12-173-2026
08 May 2026
 | 08 May 2026

Intelligent daily rainfall prediction for early warning using deep learning and satellite data: application to Bouaflé and Zuénoula stations, Ivory coast

Satti J. R. Kamenan, Ta M. Youan, Miessan G. Adja, Sandona I. Soro, and Amani M. Kouassi

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Short summary
Recurrent flooding in the Marahoué region, especially at Bouaflé and Zuénoula, requires reliable rainfall forecasts. This study uses deep learning with satellite data to predict daily rainfall up to seven days ahead. The results show high accuracy for short- and medium-term forecasts, supporting early warning systems and helping local communities prepare for flood risks.
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