Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-2877-2019
https://doi.org/10.5194/hess-23-2877-2019
Research article
 | 
10 Jul 2019
Research article |  | 10 Jul 2019

Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region

Guoxiao Wei, Xiaoying Zhang, Ming Ye, Ning Yue, and Fei Kan

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Latest update: 26 Feb 2024
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Short summary
Accurately evaluating evapotranspiration (ET) is a critical challenge in improving hydrological process modeling. Here we evaluated four ET models (PM, SW, PT–FC, and AA) under the Bayesian framework. Our results reveal that the SW model has the best performance. This is in part because the SW model captures the main physical mechanism in ET; the other part is that the key parameters, such as the extinction factor, could be well constrained with observation data.