Evaluation of Eight Decomposition-Hybrid Models for Short-Term Daily Reference Evapotranspiration Prediction

Evaluation of Eight Decomposition-Hybrid Models for Short-Term Daily Reference Evapotranspiration Prediction

Accurate reference evapotranspiration (ET<sub>o</sub>) prediction is important for water resource management, particularly in arid regions where water availability is highly variable. However, the nonlinear and non-stationary characteristics of ET<sub>o</sub> time series pose...

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Bibliographic Details
Main Authors: Yunfei Chen, Zuyu Liu, Ting Long, Xiuhua Liu, Yaowei Gao, Sibo Wang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Atmosphere
Subjects:
reference crop evapotranspiration
hybrid forecasting model
decomposition algorithm
deep learning
arid regions
Online Access:https://www.mdpi.com/2073-4433/16/5/535
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