Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal

Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal

Accurate estimation of reference evapotranspiration (ET0) is essential for optimizing water resource management. The widely accepted Penman-Monteith (FAO-56PM) model is commonly used for ET0 estimation but relies on numerous weather variables that are often unavailable in developing countries like N...

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Bibliographic Details
Main Authors: Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Radiation-based
K-means clustering
Deep neural networks
Water resource management
Southeast Asia
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025003391
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