Open Hydroclimatic Data and Iterative Machine Learning for River Discharge Forecasting in Babahoyo, Ecuador: Benchmarking, Uncertainty, and Operational Limits Without In Situ Validation

This study evaluates the potential and limitations of open/model-derived hydroclimatic data for multi-horizon river discharge forecasting in Babahoyo, Ecuador. A quantitative, applied, retrospective longitudinal design used daily data for 2017–2026. The discharge target is the GloFAS v4 seamless pro...

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Autores principales: Rolando Licapa Redolfo, Alexander Haro-Sarango, Persi Vera Zelada, Denis Javier Aranguri Cayetano, Roxana Mabel Sempértegui Rafael, Olegario Cabrera-Cabrera, Edwar Cieza-Sánchez, Martha G Huaman Tanta, Diana Carolina Castillo-Martínez
Formato: Artículo
Lenguaje:inglés
Publicado: 2026
Materias:
river discharge prediction
GloFAS
ERA5 reanalysis
forecast uncertainty
feature leakage
tropical floodplain
Babahoyo
data-limited regions
Hydrological Forecasting Using AI
Hydrology and Watershed Management Studies
Environmental Monitoring and Data Management
Acceso en línea:Enlace permanente (DOI o Handle)
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