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	Estimating time series of land surface energy fluxes using optimized two source energy balance schemes: model formulation, calibration, and validation
	Gan, Guojing1,2; Gao, Yanchun1
刊名	Agricultural and forest meteorology
	2015-08-15
卷号	208页码:62-75
关键词	Evapotranspiration Tseb Canopy conductance Resistance network Modis lst
ISSN号	0168-1923
DOI	10.1016/j.agrformet.2015.04.007
通讯作者	Gao, yanchun(gaoyanc@igsnrr.ac.cn)
英文摘要	Due to the limited availability of land surface temperature (lst) images, thermal-based evapotranspiration (et) models can only provide instantaneous et snapshots. in contrast, models that are based on near surface soil moisture (sm) and leaf area index (lai) can operate at daily scales. however, their transpiration schemes need to be more physically realistic and their model parameters usually need to be calibrated by flux measurements. in this study, we incorporated a biophysical canopy conductance (gc) model into a two source energy balance (tseb) scheme to replace the original priestly-taylor (pt) approximation and then optimized both models (gc-tseb and pt-tseb) at pixel scales using qualified modis lst data. the results show that using [st is almost as effective in the calibration as using flux measurements. this is promising because unlike flux measurements, [st can be acquired at various spatial resolutions by remote sensing, which makes model calibration feasible for any land pixel. in addition, et and its partitioning between the canopy and soil layers were found to be reasonable at both validation sites. the day to day and diurnal variations of the predicted et generally matched the trends and peaks of the flux measurements, although systematic biases were also found due to the decoupling effect of soil moisture at different depths. furthermore, both models are robust with +/- 50% changes of sm or lai because the parameters were automatically adjusted by the lst-calibration. the models are sensitive to lst. however, if the added noise of the lst is less significant than n(+/- 1, 2.5(2)), the medians of the rmses in the le predictions from the lst-calibrated models were quite similar to those from the flux-calibrated models. both models were found to be accurate, but gc-tseb provides slightly more precise and robust predictions than pt-tseb. (c) 2015 elsevier b.v. all rights reserved.
WOS关键词	REMOTE-SENSING DATA ; HEAT-FLUX ; EVAPOTRANSPIRATION ALGORITHM ; SOIL EVAPORATION ; MODIS ; WATER ; TEMPERATURE ; VEGETATION ; MICROWAVE ; SCALES
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000356114300006
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2376728
专题	中国科学院大学
通讯作者	Gao, Yanchun
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Being 100049, Peoples R China
推荐引用方式 GB/T 7714	Gan, Guojing,Gao, Yanchun. Estimating time series of land surface energy fluxes using optimized two source energy balance schemes: model formulation, calibration, and validation[J]. Agricultural and forest meteorology,2015,208:62-75.
APA	Gan, Guojing,&Gao, Yanchun.(2015).Estimating time series of land surface energy fluxes using optimized two source energy balance schemes: model formulation, calibration, and validation.Agricultural and forest meteorology,208,62-75.
MLA	Gan, Guojing,et al."Estimating time series of land surface energy fluxes using optimized two source energy balance schemes: model formulation, calibration, and validation".Agricultural and forest meteorology 208(2015):62-75.

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