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Implementing Dynamic Root Optimization in Noah-MP for Simulating Phreatophytic Root Water Uptake
Wang, Ping1,2,3; Niu, Guo-Yue2,3; Fang, Yuan-Hao2,3,4; Wu, Run-Jian2,3; Yu, Jing-Jie1,5; Yuan, Guo-Fu6; Pozdniakov, Sergey P.7; Scott, Russell L.8
2018-03-01
Source PublicationWATER RESOURCES RESEARCH
ISSN0043-1397
Volume54Issue:3Pages:1560-1575
Corresponding AuthorWang, Ping(wangping@igsnrr.ac.cn) ; Niu, Guo-Yue(niug@email.arizona.edu)
AbstractWidely distributed in arid and semiarid regions, phreatophytic roots extend into the saturated zone and extract water directly from groundwater. In this paper, we implemented a vegetation optimality model of root dynamics (VOM-ROOT) in the Noah land surface model with multiparameterization options (Noah-MP LSM) to model the extraction of groundwater through phreatophytic roots at a riparian site with a hyperarid climate (with precipitation of 35 mm/yr) in northwestern China. VOM-ROOT numerically describes the natural optimization of the root profile in response to changes in subsurface water conditions. The coupled Noah-MP/VOM-ROOT model substantially improves the simulation of surface energy and water fluxes, particularly during the growing season, compared to the prescribed static root profile in the default Noah-MP. In the coupled model, more roots are required to grow into the saturated zone to meet transpiration demand when the groundwater level declines over the growing season. The modeling results indicate that at the study site, the modeled annual transpiration is 472 mm, accounting for 92.3% of the total evapotranspiration. Direct root water uptake from the capillary fringe and groundwater, which is supplied by lateral groundwater flow, accounts for approximately 84% of the total transpiration. This study demonstrates the importance of implementing a dynamic root scheme in a land surface model for adequately simulating phreatophytic root water uptake and the associated latent heat flux.
Keywordphreatophytes root water uptake plant optimality land surface models hyperarid regions
DOI10.1002/2017WR021061
WOS KeywordENERGY-BALANCE CLOSURE ; LOWER COLORADO RIVER ; LOWER TARIM RIVER ; TAMARIX SPP. ; ESTIMATING EVAPOTRANSPIRATION ; GROUNDWATER FLUCTUATIONS ; STOMATAL CONDUCTANCE ; TAKLAMAKAN DESERT ; EDDY-COVARIANCE ; TABLE DECLINE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41671023] ; National Natural Science Foundation of China[41571029] ; National Natural Science Foundation of China[41271050] ; NSFC-RFBR Program[41811130023] ; NSFC-RFBR Program[18-55-53025 GammaPhiEH_a] ; China Scholarship Council[201304910063] ; NASA MAP Program[80NSSC17K0352] ; National Science Foundation for Critical Zone Observatory[NSF-EAR-1331408] ; NSF Macrosystem Biology[NSF-EF 1065790]
Funding OrganizationNational Natural Science Foundation of China ; NSFC-RFBR Program ; China Scholarship Council ; NASA MAP Program ; National Science Foundation for Critical Zone Observatory ; NSF Macrosystem Biology
WOS Research AreaEnvironmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS SubjectEnvironmental Sciences ; Limnology ; Water Resources
WOS IDWOS:000430364900009
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55068
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Ping; Niu, Guo-Yue
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proce, Beijing, Peoples R China
2.Univ Arizona, Dept Hydrol & Atmospher Sci, Tucson, AZ 85721 USA
3.Univ Arizona, Biosphere 2, Oracle, AZ 85739 USA
4.Hohai Univ, Dept Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China
5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
7.Moscow MV Lomonosov State Univ, Dept Hydrogeol, Moscow, Russia
8.USDA ARS, Southwest Watershed Res Ctr, Tucson, AZ 85719 USA
Recommended Citation
GB/T 7714
Wang, Ping,Niu, Guo-Yue,Fang, Yuan-Hao,et al. Implementing Dynamic Root Optimization in Noah-MP for Simulating Phreatophytic Root Water Uptake[J]. WATER RESOURCES RESEARCH,2018,54(3):1560-1575.
APA Wang, Ping.,Niu, Guo-Yue.,Fang, Yuan-Hao.,Wu, Run-Jian.,Yu, Jing-Jie.,...&Scott, Russell L..(2018).Implementing Dynamic Root Optimization in Noah-MP for Simulating Phreatophytic Root Water Uptake.WATER RESOURCES RESEARCH,54(3),1560-1575.
MLA Wang, Ping,et al."Implementing Dynamic Root Optimization in Noah-MP for Simulating Phreatophytic Root Water Uptake".WATER RESOURCES RESEARCH 54.3(2018):1560-1575.
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