干旱区生态环境知识资源中心(Arid): Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region

Arid

DOI	10.5194/hess-23-2877-2019
	Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region
	Wei, Guoxiao 1,2; Zhang, Xiaoying 3; Ye, Ming 4; Yue, Ning 1,2; Kan, Fei 1,2
通讯作者	Zhang, Xiaoying
来源期刊	HYDROLOGY AND EARTH SYSTEM SCIENCES
ISSN	1027-5606
EISSN	1607-7938
出版年	2019
卷号	23 期号:7 页码:2877-2895
英文摘要	Evapotranspiration (ET) is a major component of the land surface process involved in energy fluxes and energy balance, especially in the hydrological cycle of agricultural ecosystems. While many models have been developed as powerful tools to simulate ET, there is no agreement on which model best describes the loss of water to the atmosphere. This study focuses on two aspects, evaluating the performance of four widely used ET models and identifying parameters, and the physical mechanisms that have significant impacts on the model performance. The four tested models are the 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 thermodynamic integration algorithm, the Bayesian model evidence (BME) approach is adopted to select the optimal model with half-hourly ET observations obtained at a spring maize field in an arid region. Our results reveal that the SW model has the best performance, and the extinction coefficient is not merely partitioning the total available energy into the canopy and surface but also including the energy imbalance correction. The extinction coefficient is well constrained in the SW model and poorly constrained in the PM model but not considered in PT-FC and AA models. This is one of the main reasons that the SW model outperforms the other models. Meanwhile, the good fitting of SW model to observations can counterbalance its higher complexity. In addition, the detailed analysis of the discrepancies between observations and model simulations during the crop growth season indicate that explicit treatment of energy imbalance and energy interaction will be the primary way of further improving ET model performance.
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000474741500001
WOS关键词	MONTE-CARLO-SIMULATION ; PENMAN-MONTEITH ; ENERGY-BALANCE ; PRIESTLEY-TAYLOR ; UNCERTAINTY ANALYSIS ; MARGINAL LIKELIHOOD ; SURFACE-RESISTANCE ; CANOPY RESISTANCE ; IRRIGATED CROPS ; HEAT-FLUX
WOS类目	Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Geology ; Water Resources
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216213
作者单位	1.Lanzhou Univ, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou 730000, Peoples R China; 2.Lanzhou Univ, Sch Earth & Environm Sci, Lanzhou 730000, Peoples R China; 3.Jilin Univ, Coll Construct Engn, Changchun 130400, Jilin, Peoples R China; 4.Florida State Univ, Dept Earth Ocean & Atmospher Sci, Tallahassee, FL 32306 USA
推荐引用方式 GB/T 7714	Wei, Guoxiao,Zhang, Xiaoying,Ye, Ming,et al. Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region[J]. 兰州大学,2019,23(7):2877-2895.
APA	Wei, Guoxiao,Zhang, Xiaoying,Ye, Ming,Yue, Ning,&Kan, Fei.(2019).Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region.HYDROLOGY AND EARTH SYSTEM SCIENCES,23(7),2877-2895.
MLA	Wei, Guoxiao,et al."Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region".HYDROLOGY AND EARTH SYSTEM SCIENCES 23.7(2019):2877-2895.