Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.5194/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![]() | |
通讯作者 | Zhu, G. F. |
来源期刊 | GEOSCIENTIFIC MODEL DEVELOPMENT
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ISSN | 1991-959X |
EISSN | 1991-9603 |
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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