气候变化领域集成服务门户(CCPortal): A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model

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DOI	10.1002/hyp.13298
	A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model
	Su, Yonghong; Feng, Qi; Zhu, Gaofeng; Gu, Chunjie; Wang, Yunquan; Shang, Shasha; Zhang, Kun; Han, Tuo; Chen, Huiling; Ma, Jinzhu
发表日期	2018
ISSN	0885-6087
EISSN	1099-1085
卷号	32 期号:26
英文摘要	Modelling is an important tool in simulating and partitioning evapotranspiration (ET). To obtain realistic partitioning of ET, a hierarchical Bayesian (HB) method was used to fit the Priestly-Taylor Jet Propulsion Laboratory (PT-JPL) model against the multi-tower Flux Network (FLUXNET) datasets. Unique to the HB method is its ability to exchange of information between sites and simultaneously estimate the species-and PFT-level parameters. The results suggested that the sensitive parameters varied at the both species and PFT levels. The parameter beta (water control of soil evaporation) exhibited relatively wide species-and PFT-level posterior distributions, indicating that the original parameterization of soil moisture constraint may be problematic. Generally, the model with parameters determined by the HB approach showed better performance in predicting and partitioning ET than the original model, especially in evergreen needleleaf forests, open shrublands, closed shrublands, and woody savannas. To overcome the problem of parameter uncertainty (equifinality), direct observations of different components of ET are urgently needed in future studies, and assessments the extent to which the parameter uncertainties are reduced by the use of additional data.
关键词	differential evolution Markov chain algorithm evaporation evapotranspiration hierarchical Bayesian method process-based ET model transpiration
学科领域	Water Resources
语种	英语
WOS研究方向	Water Resources
来源期刊	HYDROLOGICAL PROCESSES
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/111982
作者单位	Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Su, Yonghong,Feng, Qi,Zhu, Gaofeng,et al. A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model[J]. 中国科学院西北生态环境资源研究院,2018,32(26).
APA	Su, Yonghong.,Feng, Qi.,Zhu, Gaofeng.,Gu, Chunjie.,Wang, Yunquan.,...&Ma, Jinzhu.(2018).A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model.HYDROLOGICAL PROCESSES,32(26).
MLA	Su, Yonghong,et al."A hierarchical Bayesian approach for multi-site optimization of a satellite-based evapotranspiration model".HYDROLOGICAL PROCESSES 32.26(2018).