Optimization of canopy resistance models for estimating evapotranspiration on summer maize in a semi-arid condition of China
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Soil Science,Water Science and Technology,Agronomy and Crop Science
Link
https://link.springer.com/content/pdf/10.1007/s00271-023-00903-5.pdf
Reference67 articles.
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2. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrig Drainage 56:300
3. Anapalli SS, Krutz JL, Pinnamaneni SR, Reddy KN, Fisher DK (2021) Eddy covariance quantification of soybean (Glycine max L.), crop coefficients in a farmer’s field in a humid climate. Irrig Sci 39:651–669
4. Azad A, Manoochehri M, Kashi H, Farzin S, Karami H, Nourani V, Shiri J (2019) Comparative evaluation of intelligent algorithms to improve adaptive neuro-fuzzy inference system performance in precipitation modelling. J Hydrol 571:214–224
5. Bao Y, Liu T, Duan L, Tong X, Ji H, Zhang L, Singh V (2022) A comparative study of three stomatal conductance models for estimating evapotranspiration in a dune ecosystem in a semi-arid region. Sci Total Environ 802:149937
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