Estimation of Reference Evapotranspiration Using Spatial and Temporal Machine Learning Approaches

Estimation of Reference Evapotranspiration Using Spatial and Temporal Machine Learning Approaches

Evapotranspiration (ET) is widely employed to measure amounts of total water loss between land and atmosphere due to its major contribution to water balance on both regional and global scales. Considering challenges to quantifying nonlinear ET processes, machine learning (ML) techniques have been in...

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Bibliographic Details
Main Authors: Ali Rashid Niaghi, Oveis Hassanijalilian, Jalal Shiri
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Hydrology
Subjects:
evapotranspiration
machine learning
local
spatial
subhumid climate
Online Access:https://www.mdpi.com/2306-5338/8/1/25

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