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

Abstract

Abstract. Evapotranspiration (ET) is a major component of the land surface processinvolved in energy fluxes and energy balance, especially in the hydrologicalcycle of agricultural ecosystems. While many models have been developed aspowerful tools to simulate ET, there is no agreement on which model bestdescribes the loss of water to the atmosphere. This study focuses on twoaspects, evaluating the performance of four widely used ET models andidentifying parameters, and the physical mechanisms that havesignificant impacts on the model performance. The four tested models arethe Shuttleworth–Wallace (SW) model, Penman–Monteith (PM) model,Priestley–Taylor and Flint–Childs (PT–FC) model, and advection–aridity (AA)model. By incorporating the mathematically rigorous thermodynamicintegration algorithm, the Bayesian model evidence (BME) approach is adoptedto select the optimal model with half-hourly ET observations obtained at aspring maize field in an arid region. Our results reveal that the SW model has thebest performance, and the extinction coefficient is not merely partitioningthe total available energy into the canopy and surface but also includingthe energy imbalance correction. The extinction coefficient is wellconstrained in the SW model and poorly constrained in the PM model but notconsidered in PT–FC and AA models. This is one of the main reasons that theSW model outperforms the other models. Meanwhile, the good fitting of SWmodel to observationsmore » can counterbalance its higher complexity. In addition,the detailed analysis of the discrepancies between observations and modelsimulations during the crop growth season indicate that explicit treatmentof energy imbalance and energy interaction will be the primary way offurther improving ET model performance.« less

Authors:
 [1];  [2];  [3];  [1];  [1]
  1. Lanzhou Univ. (China)
  2. Jilin Univ., Changchun (China)
  3. Florida State Univ., Tallahassee, FL (United States)
Publication Date:
Research Org.:
Florida State Univ., Tallahassee, FL (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1613230
Grant/Contract Number:  
SC0019438
Resource Type:
Accepted Manuscript
Journal Name:
Hydrology and Earth System Sciences (Online)
Additional Journal Information:
Journal Name: Hydrology and Earth System Sciences (Online); Journal Volume: 23; Journal Issue: 7; Journal ID: ISSN 1607-7938
Publisher:
European Geosciences Union (EGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; Geology; Water Resources

Citation Formats

Wei, Guoxiao, Zhang, Xiaoying, Ye, Ming, Yue, Ning, and Kan, Fei. Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region. United States: N. p., 2019. Web. https://doi.org/10.5194/hess-23-2877-2019.
Wei, Guoxiao, Zhang, Xiaoying, Ye, Ming, Yue, Ning, & Kan, Fei. Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region. United States. https://doi.org/10.5194/hess-23-2877-2019
Wei, Guoxiao, Zhang, Xiaoying, Ye, Ming, Yue, Ning, and Kan, Fei. Wed . "Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region". United States. https://doi.org/10.5194/hess-23-2877-2019. https://www.osti.gov/servlets/purl/1613230.
@article{osti_1613230,
title = {Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region},
author = {Wei, Guoxiao and Zhang, Xiaoying and Ye, Ming and Yue, Ning and Kan, Fei},
abstractNote = {Abstract. Evapotranspiration (ET) is a major component of the land surface processinvolved in energy fluxes and energy balance, especially in the hydrologicalcycle of agricultural ecosystems. While many models have been developed aspowerful tools to simulate ET, there is no agreement on which model bestdescribes the loss of water to the atmosphere. This study focuses on twoaspects, evaluating the performance of four widely used ET models andidentifying parameters, and the physical mechanisms that havesignificant impacts on the model performance. The four tested models arethe Shuttleworth–Wallace (SW) model, Penman–Monteith (PM) model,Priestley–Taylor and Flint–Childs (PT–FC) model, and advection–aridity (AA)model. By incorporating the mathematically rigorous thermodynamicintegration algorithm, the Bayesian model evidence (BME) approach is adoptedto select the optimal model with half-hourly ET observations obtained at aspring maize field in an arid region. Our results reveal that the SW model has thebest performance, and the extinction coefficient is not merely partitioningthe total available energy into the canopy and surface but also includingthe energy imbalance correction. The extinction coefficient is wellconstrained in the SW model and poorly constrained in the PM model but notconsidered in PT–FC and AA models. This is one of the main reasons that theSW model outperforms the other models. Meanwhile, the good fitting of SWmodel to observations can counterbalance its higher complexity. In addition,the detailed analysis of the discrepancies between observations and modelsimulations during the crop growth season indicate that explicit treatmentof energy imbalance and energy interaction will be the primary way offurther improving ET model performance.},
doi = {10.5194/hess-23-2877-2019},
journal = {Hydrology and Earth System Sciences (Online)},
number = 7,
volume = 23,
place = {United States},
year = {2019},
month = {7}
}

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    Works referencing / citing this record:

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