干旱区生态环境知识资源中心(Arid): Applications of a thermal-based two-source energy balance model coupled to surface soil moisture

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DOI	10.1016/j.rse.2022.112923
	Applications of a thermal-based two-source energy balance model coupled to surface soil moisture
	Song, Lisheng; Ding, Zhonghao; Kustas, William P.; Xu, Yanhao; Zhao, Gengle; Liu, Shaomin; Ma, Mingguo; Xue, Kejia; Bai, Yan; Xu, Ziwei
通讯作者	Song, LS (corresponding author)，Anhui Normal Univ, Sch Geog & Tourism, Wuhu, Peoples R China. ; Song, LS (corresponding author)，Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China.
来源期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
EISSN	1879-0704
出版年	2022
卷号	271
英文摘要	The two-source energy balance (TSEB) model using the land surface temperature (LST) as a key boundary has been used to estimate land surface evapotranspiration (ET) over various landcovers and environmental conditions. However, LST may not always provide an adequate boundary condition to simultaneously constrain the soil evaporation and plant transpiration especially under water limited conditions. A refinement to TSEB model by coupling surface soil moisture information to derive the soil and vegetation component temperatures and a new transpiration algorithm was developed (TSEB-SM). The TSEB-SM model was evaluated under a wide range of surface soil water content values and vegetation cover conditions and compared with the performance with the original TSEB model using only LST. While the results showed that the TSEB-SM model produced similar agreement in the fluxes and ET as the original TSEB for the cropland and grassland sites, TSEB-SM model performance was notably improved at the shrub-forest and desert steppe sites with a significant reduction in mean absolute percent difference in daily ET from nearly 65% to 25% and from approximately 50% to 40%, respectively. It also appears to be more reliable in partitioning ET into soil evaporation and plant transpiration when compared to the partitioning using the water use efficiency (uWUE) approach in combination with the eddy covariance measurements. With satellite data such as MODIS LST and leaf area index, and surface soil moisture retrievals from microwave satellite observations, the TSEB-SM model may potentially be a more reliable tool for monitoring regional ET partitioning under sparse canopy cover conditions.
英文关键词	TSEB-SM model Soil water stress Surface flux estimation
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000759731100001
WOS关键词	STOMATAL CONDUCTANCE SCHEME ; WATER-USE EFFICIENCY ; RIVER-BASIN ; HEAT-FLUX ; EVAPOTRANSPIRATION ; EVAPORATION ; TRANSPIRATION ; TEMPERATURE ; SYSTEMS ; CARBON
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376214
作者单位	[Song, Lisheng] Anhui Normal Univ, Sch Geog & Tourism, Wuhu, Peoples R China; [Song, Lisheng; Ding, Zhonghao; Xu, Yanhao; Zhao, Gengle; Ma, Mingguo; Xue, Kejia] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat &, Chongqing 400715, Peoples R China; [Kustas, William P.] USDA, Agr Res Serv, Beltsville Agr Res Ctr, Hydrol & Remote Sensing Lab, 10300 Baltimore Ave BARC West,Bldg 007, Beltsville, MD 21738 USA; [Liu, Shaomin; Xu, Ziwei] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; [Bai, Yan] Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Song, Lisheng,Ding, Zhonghao,Kustas, William P.,et al. Applications of a thermal-based two-source energy balance model coupled to surface soil moisture[J],2022,271.
APA	Song, Lisheng.,Ding, Zhonghao.,Kustas, William P..,Xu, Yanhao.,Zhao, Gengle.,...&Xu, Ziwei.(2022).Applications of a thermal-based two-source energy balance model coupled to surface soil moisture.REMOTE SENSING OF ENVIRONMENT,271.
MLA	Song, Lisheng,et al."Applications of a thermal-based two-source energy balance model coupled to surface soil moisture".REMOTE SENSING OF ENVIRONMENT 271(2022).