气候变化领域集成服务门户(CCPortal): Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region

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DOI	10.5194/hess-23-2877-2019
	Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region
	Wei G.; Zhang X.; Ye M.; Yue N.; Kan F.
发表日期	2019
ISSN	1027-5606
起始页码	2877
结束页码	2895
卷号	23 期号:7
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. © 2019 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	Bayesian networks; Ecosystems; Evapotranspiration; Advection-aridity models; Agricultural ecosystems; Bayesian performance; Eddy covariance systems; Evapotranspiration models; Extinction coefficients; Land-surface process; Thermodynamic integration; Arid regions; algorithm; arid region; Bayesian analysis; eddy covariance; energy balance; energy flux; environmental modeling; evapotranspiration; extinction coefficient; hydrological cycle; land surface; performance assessment; Zea mays
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159650
作者单位	Wei, G., Key Laboratory of Western China's Environmental System (Ministry of Education), Lanzhou University, Lanzhou, 730000, China, School of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Zhang, X., College of Construction Engineering, Jilin University, Changchun, 130400, China; Ye, M., Department of Earth, Ocean, and Atmospheric Science, Florida State University, Tallahassee, FL 32306, United States; Yue, N., Key Laboratory of Western China's Environmental System (Ministry of Education), Lanzhou University, Lanzhou, 730000, China, School of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Kan, F., Key Laboratory of Western China's Environmental System (Ministry of Education), Lanzhou University, Lanzhou, 730000, China, School of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
推荐引用方式 GB/T 7714	Wei G.,Zhang X.,Ye M.,et al. Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region[J],2019,23(7).
APA	Wei G.,Zhang X.,Ye M.,Yue N.,&Kan F..(2019).Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region.Hydrology and Earth System Sciences,23(7).
MLA	Wei G.,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).