Discussion on: 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

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Article Title
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
Authored by

Abdérahim TOGUYENI
Laboratory of Materials and Environment, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.

Ali DOUMOUNIA
Laboratory of Materials and Environment, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso and Institute of Science and Technology, Ecole Normale Supérieure Ouagadougou, Burkina Faso.

Moumouni DJIBO
Laboratory of Materials and Environment, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso and Université Virtuelle, Ouagadougou, Burkina Faso.

Wenceslas SOMDA
Laboratory of Materials and Environment, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso and Université Daniel Ouezzin Coulibaly, Dédougou, Burkina Faso.

Lucien DAMIBA
Laboratory of Materials and Environment, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso and WaterAid/International Program Department, Research and Knowledge Management in West Africa, Ouagadougou, Burkina Faso.

François ZOUGMORE
Laboratory of Materials and Environment, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.

DOI or Article Link

https://doi.org/10.9734/ijecc/2025/v15i125156

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