Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jhydrol.2021.127179 |
Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model | |
Bu, Jingyi; Gan, Guojing; Chen, Jiahao; Su, Yanxin; Garcia, Monica; Gao, Yanchun | |
通讯作者 | Gao, YC (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China. ; Gan, GJ (corresponding author), Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China. |
来源期刊 | JOURNAL OF HYDROLOGY
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ISSN | 0022-1694 |
EISSN | 1879-2707 |
出版年 | 2021 |
卷号 | 603 |
英文摘要 | Evapotranspiration (ET) plays an indispensable role in water-carbon-energy exchange between the land surface and atmosphere. Biophysical constraints like the canopy conductance lie the key to accurate prediction of plant transpiration (T) and soil evaporation (E) in ET models. Given the lack of comprehensive evaluation for resistances network in conductance-based two source energy balance model (TSEB), three scenarios (Gc-TSEBO, GcTSEBOSM, and Gc-TSEBSWC) were assessed on the frame of Gc-TSEB: one relying on Jarvis canopy conductance, other on optimal stomatal behavior, and other on soil moisture content, with forcing data from MODIS datasets and in-situ FLUXNET sites over six biome types. The ET simulated by the model combined with the optimal stomatal behavior and the complementary concept had higher values of R2 and Taylor skill scores, lower values of RMSE and BIAS, than the other two scenarios, particularly over cropland sites and arid/semi-arid sites where the other two failed. The sensitivity analysis for Gc-TSEB resistances elucidated that the effect of canopy conductance is more noticeable on ET simulation than the other resistances. When effective biophysical constraints on the canopy are lacking, a large deviation exists in ET partitioning mainly due to the systematic error of soil evaporation through the partitioning algorithm for soil and plant fluxes. We assessed the performance of calibration from MODIS land surface temperature (LST) instead of flux data. The LST-calibrated model performed better in croplands and grasslands compared to forest sites, which opens a good perspective to advance the model for operational applications in agriculture and herbaceous vegetation. |
英文关键词 | Evapotranspiration Gc-TSEB Optimal stomatal model Complementary concept MODIS LST |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000731712000001 |
WOS关键词 | RADIOMETRIC SURFACE-TEMPERATURE ; CARBON-DIOXIDE EXCHANGE ; CANOPY CONDUCTANCE ; EDDY-COVARIANCE ; MEDITERRANEAN DRYLANDS ; FLUX ESTIMATION ; 2-SOURCE MODEL ; TIME-SERIES ; TERRESTRIAL EVAPOTRANSPIRATION ; GLOBAL EVAPOTRANSPIRATION |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS研究方向 | Engineering ; Geology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/373971 |
作者单位 | [Bu, Jingyi; Chen, Jiahao; Su, Yanxin; Gao, Yanchun] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; [Bu, Jingyi; Chen, Jiahao; Su, Yanxin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Gan, Guojing] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China; [Bu, Jingyi; Garcia, Monica] Tech Univ Denmark, Dept Environm Engn, DK-2800 Lyngby, Denmark |
推荐引用方式 GB/T 7714 | Bu, Jingyi,Gan, Guojing,Chen, Jiahao,et al. Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model[J],2021,603. |
APA | Bu, Jingyi,Gan, Guojing,Chen, Jiahao,Su, Yanxin,Garcia, Monica,&Gao, Yanchun.(2021).Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model.JOURNAL OF HYDROLOGY,603. |
MLA | Bu, Jingyi,et al."Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model".JOURNAL OF HYDROLOGY 603(2021). |
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