U-NET Deep Learning-based Downscaling to Generate High-resolution Seasonal Forecasts for Small Watersheds: A Case Study of the Nouhao Sub-basin, Burkina Faso
Abdérahim TOGUYENI, Ali Doumounia, Moumouni Djibo, Wenceslas SOMDA, Lucien DAMIBA & Francois Zougmore · International Journal of Environment and Climate Change · 2025
Seasonal forecasts at coarse-resolution limit local decision-making and disaster (drought, flood…) preparedness in African small watersheds. To address these limitations, this study designs a Deep Learning-based downscaling framework using the U-Net Convolutional Neural Network (...
Open access
Research Article
10.9734/ijecc/2025/v15i125156