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

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Cited articles

Allen, R. G., Perista, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration – Guidelines for Computing Crop Water Requirements; FAO Irrigation and Drainage papers 56, FAO – Food and Agriculture Organization of the United Nations, Rome, 1998. 
Alves, I. and Pereira, L. S.: Modeling surface resistance from climatic variables?, Agr. Water Manage., 42, 371–385, 2000. 
Aubinet, M., Grelle, A., Ibrom, A., Rannik, Ü., Moncrieff, J., and Foken, T.: Estimates of the annual net carbon and water exchange of forests: the euroflux methodology, Adv. Ecol. Res., 30, 113–175, 2000. 
Baldocchi, D. D.: Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future, Global Change. Biol., 9, 479–492, 2003. 
Bardossy, A. and Das, T.: Influence of rainfall observation network on model calibration and application, Hydrol. Earth Syst. Sci., 12, 77–89,, 2008. 
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.