• Login
    View Item 
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    •   Home
    • UA Faculty Research
    • UA Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Implementing Dynamic Root Optimization in Noah-MP for Simulating Phreatophytic Root Water Uptake

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Wang_et_al-2018-Water_Resource ...
    Size:
    1.328Mb
    Format:
    PDF
    Description:
    Final Published version
    Download
    Author
    Wang, Ping
    Niu, Guo-Yue
    Fang, Yuan-Hao
    Wu, Run-Jian Run-Jian
    Yu, Jing-Jie
    Yuan, Guo-Fu
    Pozdniakov, Sergey P.
    Scott, Russell L.
    Affiliation
    Univ Arizona, Dept Hydrol & Atmospher Sci
    Univ Arizona, Biosphere 2
    Issue Date
    2018-03
    Keywords
    phreatophytes
    root water uptake
    plant optimality
    land surface models
    hyperarid regions
    
    Metadata
    Show full item record
    Publisher
    AMER GEOPHYSICAL UNION
    Citation
    Wang, P., Niu, G.‐Y., Fang, Y.‐H., Wu, R.‐J., Yu, J.‐J., Yuan, G.‐F., et al. (2018). Implementing dynamic root optimization in Noah‐MP for simulating phreatophytic root water uptake. Water Resources Research, 54, 1560–1575. https://doi.org/10.1002/2017WR021061
    Journal
    WATER RESOURCES RESEARCH
    Rights
    © 2018. American Geophysical Union. All Rights Reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Widely 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.
    Note
    6 month embargo; published online: 20 February 2018
    ISSN
    0043-1397
    DOI
    10.1002/2017WR021061
    Version
    Final published version
    Sponsors
    National Natural Science Foundation of China [41671023, 41571029, 41271050]; NSFC-RFBR Program [41811130023, 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]
    Additional Links
    https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2017WR021061
    ae974a485f413a2113503eed53cd6c53
    10.1002/2017WR021061
    Scopus Count
    Collections
    UA Faculty Publications

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.