Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network

Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network

Abstract Accurate prediction of reference evapotranspiration (ETo) is crucial for many water-related fields, including crop modelling, hydrologic simulations, irrigation scheduling and sustainable water management. This study compares the performance of different soft computing models such as artifi...

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Bibliographic Details
Main Authors: Sanjeev Gupta, Pravendra Kumar, Gottam Kishore, Rawshan Ali, Nadhir Al-Ansari, Dinesh Kumar Vishwakarma, Alban Kuriqi, Quoc Bao Pham, Ozgur Kisi, Salim Heddam, Mohamed A. Mattar
Format: Article
Language:English
Published: SpringerOpen 2024-05-01
Series:Applied Water Science
Subjects:
ANN
ANFIS
FAO-56 Penman–Monteith
Sensitivity analysis
Wavelet neural network
Online Access:https://doi.org/10.1007/s13201-024-02195-2

Internet

https://doi.org/10.1007/s13201-024-02195-2

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