Arid
DOI10.5194/gmd-7-1467-2014
Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China
Zhu, G. F.1; Li, X.2; Su, Y. H.2; Zhang, K.1; Bai, Y.1; Ma, J. Z.1; Li, C. B.1; Hu, X. L.2; He, J. H.1
通讯作者Zhu, G. F.
来源期刊GEOSCIENTIFIC MODEL DEVELOPMENT
ISSN1991-959X
EISSN1991-9603
出版年2014
卷号7期号:4页码:1467-1482
英文摘要

Based on direct measurements of half-hourly canopy evapotranspiration (ET; Wm(-2)) using the eddy covariance (EC) system and daily soil evaporation (E; mmday(-1)) using microlysimeters over a crop ecosystem in arid northwestern China from 27 May to 14 September in 2013, a Bayesian method was used to simultaneously parameterize the soil surface and canopy resistances in the Shuttleworth-Wallace (S-W) model. Four of the six parameters showed relatively larger uncertainty reductions (>50 %), and their posterior distributions became approximately symmetric with distinctive modes. There was a moderately good agreement between measured and simulated values of half-hourly ET and daily E with a linear regression being y = 0.84x + 0.18(R-2 = 0.83) and y = 1.01x + 0.01(R-2 = 0.82), respectively. The causes of underestimations of ET by the S-W model was possibly attributed to the microscale advection, which can contribute an added energy in the form of downward sensible heat fluxes to the ET process. Therefore, the advection process should be taken into account in simulating ET in heterogeneous land surfaces. Also, underestimations were observed on or shortly after rainy days, which may be due to direct evaporation of liquid water intercepted in the canopy. Thus, the canopy interception model should be coupled to the S-W model in the long-term ET simulation.


类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000341603900012
WOS关键词EDDY COVARIANCE MEASUREMENTS ; TERRESTRIAL ECOSYSTEM MODEL ; SURFACE CONDUCTANCE ; PARAMETER-ESTIMATION ; STABLE-ISOTOPES ; PENMAN-MONTEITH ; SOIL-MOISTURE ; FOREST MODELS ; SPARSE CROPS ; RIVER-BASIN
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
来源机构兰州大学 ; 中国科学院西北生态环境资源研究院
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/182316
作者单位1.Lanzhou Univ, Minist Educ, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China;
2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Zhu, G. F.,Li, X.,Su, Y. H.,et al. Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China[J]. 兰州大学, 中国科学院西北生态环境资源研究院,2014,7(4):1467-1482.
APA Zhu, G. F..,Li, X..,Su, Y. H..,Zhang, K..,Bai, Y..,...&He, J. H..(2014).Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China.GEOSCIENTIFIC MODEL DEVELOPMENT,7(4),1467-1482.
MLA Zhu, G. F.,et al."Simultaneously assimilating multivariate data sets into the two-source evapotranspiration model by Bayesian approach: application to spring maize in an arid region of northwestern China".GEOSCIENTIFIC MODEL DEVELOPMENT 7.4(2014):1467-1482.
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