Articles | Volume 23, issue 7
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (20 Apr 2019) by Bill X. Hu
AR by Xiaoying Zhang on behalf of the Authors (10 May 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (28 May 2019) by Bill X. Hu
RR by Anonymous Referee #1 (28 May 2019)
RR by Anonymous Referee #2 (09 Jun 2019)
ED: Publish subject to technical corrections (09 Jun 2019) by Bill X. Hu
AR by Xiaoying Zhang on behalf of the Authors (16 Jun 2019)  Author's response    Manuscript
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.