Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data

Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data

The Penman-Monteith-Leuning version 2 (PML-V2) evapotranspiration (ET) model, an advanced iteration of the classic Penman-Monteith (PM) model, is available globally via Google Earth Engine with a spatio-temporal resolution of 500 m and 8 days. PML-V2 improves canopy conductance estimation and incorp...

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Bibliographic Details
Main Authors: Vahid Nourani, Ramin Ahmadi, Yongqiang Zhang, Dominika Dąbrowska
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Ecological Indicators
Subjects:
Evapotranspiration
PML-V2
Sensitivity analysis
Machine learning
Neural ensemble technique
Ahar Chay Basin
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X24014699
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