An optimized two source energy balance model based on complementary concept and canopy conductance

doi:10.1016/j.rse.2019.01.020

	An optimized two source energy balance model based on complementary concept and canopy conductance
	Gan, Guojing 1; Kang, Tingting 2,4; Yang, Shuai 2,4; Bu, Jingyi 2,4; Feng, Zhiming 3; Gao, Yanchun 2
刊名	REMOTE SENSING OF ENVIRONMENT
	2019-03-15
卷号	223 页码:243-256
关键词	Evapotranspiration TSEB Canopy conductance Complementary concept MODIS LST
ISSN号	0034-4257
DOI	10.1016/j.rse.2019.01.020
通讯作者	Bu, Jingyi(bujy.l6b@igsnrr.ac.cn) ; Gao, Yanchun(gaoyanc@igsnrr.ac.cn)
英文摘要	In this study, we revised a two source energy balance model (G(c)-TSEB) that is based on canopy conductance and soil moisture in evapotranspiration (ET) estimation. We estimate soil evaporation (E) using the complementary concept and soil surface temperature, therefore, the revised G(c)-TSEB requires no soil moisture as input. We tested G(c)-TSEB at 10 flux sites under various land cover and climate conditions. The flux-calibrated G(c)-TSEB performed well in ET predictions, with determinant coefficients (R-2) larger than 0.9 at most of the sites. The modeled transpiration was highly correlated with the Gross Primary Production, indicating the usefulness of the model in ET partitioning. More importantly, G(c)-TSEB can be calibrated against the land surface temperature (LST), which is operationally available using remote sensing technique. Overall, daily ET that was predicted by the LST-calibrated G(c)-TSEB generally matched the trends of the ET measurements at most of the sites, and R-2 range from 0.63 to 0.93, with a median of 0.80, at all sites. Transpiration estimation was highly consistent with the simulations from the flux-calibrated model. Moreover, in vegetated surfaces, soil evaporation was estimated reasonably well using the LST-calibrated G(c)-TSEB. However, positive biases are prevalent when vegetated fraction is smaller than 0.2, especially in cold regions because of the dramatic differences in evaporation process between summer and winter. To improve model performances, calibrating G(c)-TSEB model in separated periods and using prior knowledge as constraints proved to be useful.
资助项目	National Key Project for Research and Development of China[2016YFC0501605] ; Key Project of the National Natural Science Foundation of China[41430861] ; Science and Technology Service Network Initiative Project of Chinese Academy of Sciences[KFJ-STS-ZDTP-036] ; National Natural Science Foundation of China[41601013] ; National Natural Science Foundation of China[40871198] ; National Key Basic Research Development Program[G1999043404]
WOS关键词	EDDY-COVARIANCE ; RADIOMETRIC TEMPERATURE ; HEAT-FLUX ; SURFACE ; EVAPOTRANSPIRATION ; WATER ; EVAPORATION ; SOIL ; MODIS ; CALIBRATION
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000459949200018
资助机构	National Key Project for Research and Development of China ; Key Project of the National Natural Science Foundation of China ; Science and Technology Service Network Initiative Project of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Basic Research Development Program
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/49311]
专题	中国科学院地理科学与资源研究所
通讯作者	Bu, Jingyi; Gao, Yanchun
作者单位	1.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 21008, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources Use Environm Remediat, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Gan, Guojing,Kang, Tingting,Yang, Shuai,et al. An optimized two source energy balance model based on complementary concept and canopy conductance[J]. REMOTE SENSING OF ENVIRONMENT,2019,223:243-256.
APA	Gan, Guojing,Kang, Tingting,Yang, Shuai,Bu, Jingyi,Feng, Zhiming,&Gao, Yanchun.(2019).An optimized two source energy balance model based on complementary concept and canopy conductance.REMOTE SENSING OF ENVIRONMENT,223,243-256.
MLA	Gan, Guojing,et al."An optimized two source energy balance model based on complementary concept and canopy conductance".REMOTE SENSING OF ENVIRONMENT 223(2019):243-256.