Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions
Existing evapotranspiration (ET) estimation models face inherent limitations when relying solely on physics-based or data-driven paradigms. To address this issue, we propose three data-physics hybrid modeling methods for improving instantaneous ET estimation in this study. A Physics-Data Learning (P...
Saved in:
| Main Authors: | Binrui Liu, Xinguang He, Wenkai Lyu, Lizhi Tao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Agricultural Water Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425003488 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Avaliação do Kt para estimativa da evapotranspiração de referência (ETo) em Campos dos Goytacazes, RJ Evaluation of "Class A" pan coefficients to estimate the referential evapotranspiration in Campos dos Goytacazes, RJ
by: Barbara dos S. Esteves, et al.
Published: (2010-03-01) -
Desenvolvimento de um sistema de estimativa da evapotranspiração de referência Development of a system of reference evapotranspiration estimation
by: Vicente de P. R. da Silva, et al.
Published: (2005-12-01) -
Evapotranspiração e coeficiente de cultivo do tomate caqui cultivado em ambiente protegido Evapotranspiration and crop coefficient of Kaki tomato cultivated in greenhouse
by: Ligia S. Reis, et al.
Published: (2009-06-01) -
Comparison of Empirical Methods to Estimated Reference Evapotranspiration
by: Vivi Fitriani, et al.
Published: (2024-09-01) -
Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
by: Gustavo H. da Silva, et al.