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Estimating actual evapotranspiration from an alpine grassland on Qinghai-Tibetan plateau using a two-source model and parameter uncertainty analysis by Bayesian approach

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Zhu GF, Su YH, Li X, Zhang K, Li CB. Estimating actual evapotranspiration from an alpine grassland on Qinghai-Tibetan plateau using a two-source model and parameter uncertainty analysis by Bayesian approach. Journal of Hydrology, 2013, 476: 42-51, 10.1016/j.jhydrol.2012.10.006.

文献信息
Type Of Reference JOUR
Title Estimating actual evapotranspiration from an alpine grassland on Qinghai-Tibetan plateau using a two-source model and parameter uncertainty analysis by Bayesian approach
Authors Zhu, Gaofeng| Su, Yonghong| Li, Xin| Zhang, Kun| Li, Changbin|
Secondary Title Journal of Hydrology
Abstract Summary A Bayesian method was used to fit the Shuttleworth–Wallace model to half-hourly measurements of evapotranspiration (ET) with the eddy covariance technique from an alpine grassland on the Qinghai-Tibetan plateau during the main growing season in 2008, and probabilistically estimated its parameters and predication uncertainties using both dataset-by-dataset and multi-data procedures. This enabled us to reveal the seasonal variations of some physiology-related parameters and the impacts of constant parameters on the performances of the model. Results indicated that the S–W model using the posterior mean parameter values obtained by different procedures all successfully reproduced the observed responses in ET. However, the seasonal variations in the canopy conductance parameter (gmax) should be counted in long-term ET estimating. From simulated results, the daily mean partitioning [i.e. the ratio of the estimated daily soil evaporation (E) over total evapotranspiration (ET); E/ET] was relative low (0.02–0.07 with a mean of 0.04) for the alpine grassland when leaf area index (LAI) was more than 3 m2 m−2, and was closed related to LAI and vegetation condition. At the diurnal timescale, the canopy conductance was the main factor control the partitioning of ET.
Date 2013//07/
Year 2013
DOI 10.1016/j.jhydrol.2012.10.006
Database Provider ScienceDirect
volume 476
Start Page 42
Alternate Title1 Journal of Hydrology
Issn 0022-1694
Url http://www.sciencedirect.com/science/article/pii/S0022169412008803
Access Date 2013/10/04/06:37:38
Keywords alpine grassland| Bayesian statistics| Evapotranspiration| Qinghai-Tibetan plateau| Shuttleworth–Wallace model|
file_attachments2 http://www.sciencedirect.com/science/article/pii/S0022169412008803
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