Bayesian analysis of jujube canopy transpiration models: Does embedding the key environmental factor in Jarvis canopy resistance sub-model always associate with improving transpiration modeling?
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DOI: 10.1016/j.agwat.2020.106112
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- Xing, Liwen & Cui, Ningbo & Liu, Chunwei & Zhao, Lu & Guo, Li & Du, Taisheng & Zhan, Cun & Wu, Zongjun & Wen, Shenglin & Jiang, Shouzheng, 2022. "Estimation of daily apple tree transpiration in the Loess Plateau region of China using deep learning models," Agricultural Water Management, Elsevier, vol. 273(C).
- Fábio Prataviera & Aline Martineli Batista & Edwin M. M. Ortega & Gauss M. Cordeiro & Bruno Montoani Silva, 2023. "The Logit Exponentiated Power Exponential Regression with Applications," Annals of Data Science, Springer, vol. 10(3), pages 713-735, June.
- Chen, Dianyu & Hu, Xiaotao & Duan, Xingwu & Yang, Daxin & Wang, Youke & Wang, Xing & Saifullah, Muhammad, 2024. "Improving canopy transpiration model performance by considering concurrent hot and dry conditions," Agricultural Systems, Elsevier, vol. 217(C).
- Xing, Liwen & Zhao, Lu & Cui, Ningbo & Liu, Chunwei & Guo, Li & Du, Taisheng & Wu, Zongjun & Gong, Daozhi & Jiang, Shouzheng, 2023. "Apple tree transpiration estimated using the Penman-Monteith model integrated with optimized jarvis model," Agricultural Water Management, Elsevier, vol. 276(C).
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Keywords
Bayesian analysis; Canopy resistance/conductance; Transpiration; Rain-fed jujube; Loess plateau;All these keywords.
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