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Spatial Downscaling of the CHIRPS Rainfall Product Using Machine Learning Methods: The Catamayo–Chira Transboundary Basin (Ecuador-Peru) Case

Precipitation modeling is vital for water resource management in basins with limited gauged data. In this study, the 5 km Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) product was downscaled to 1 km at the annual and mean monthly scales for the Catamayo–Chira catchment, a key w...

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Autori principali: Jessica K. Gaona, Luis-Felipe Duque, Raúl F. Vázquez, Candy L. Ocaña
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-03-01
Serie:Hydrology
Soggetti:
precipitation
CHIRPS
machine learning
linear regression
support vector machine
random forest
Accesso online:https://www.mdpi.com/2306-5338/13/3/89
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