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

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguidePlumX LibguideSubmit an Item

    Statistics

    Display statistics

    Partitioning of evapotranspiration in remote sensing-based models

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Talsma, Carl J.
    Good, Stephen P.
    Jimenez, Carlos
    Martens, Brecht
    Fisher, Joshua B.
    Miralles, Diego G.
    McCabe, Matthew cc
    Purdy, Adam J.
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division
    Environmental Science and Engineering Program
    Water Desalination and Reuse Research Center (WDRC)
    Date
    2018-06-14
    Online Publication Date
    2018-06-14
    Print Publication Date
    2018-10
    Permanent link to this record
    http://hdl.handle.net/10754/630487
    
    Metadata
    Show full item record
    Abstract
    Satellite based retrievals of evapotranspiration (ET) are widely used for assessments of global and regional scale surface fluxes. However, the partitioning of the estimated ET between soil evaporation, transpiration, and canopy interception regularly shows strong divergence between models, and to date, remains largely unvalidated. To examine this problem, this paper considers three algorithms: the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MODIS), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL), and the Global Land Evaporation Amsterdam Model (GLEAM). Surface flux estimates from these three models, obtained via the WACMOS-ET initiative, are compared against a comprehensive collection of field studies, spanning a wide range of climates and land cover types. Overall, we find errors between estimates of field and remote sensing-based soil evaporation (RMSD = 90–114%, r = 0.14–0.25, N = 35), interception (RMSD = 62–181%, r = 0.39–0.85, N = 13), and transpiration (RMSD = 54–114%, r = 0.33–0.55, N = 35) are relatively large compared to the combined estimates of total ET (RMSD = 35–49%, r = 0.61–0.75, N = 35). Errors in modeled ET components are compared between land cover types, field methods, and precipitation regimes. Modeled estimates of soil evaporation were found to have significant deviations from observed values across all three models, while the characterization of vegetation effects also influences errors in all three components. Improvements in these estimates, and other satellite based partitioning estimates are likely to lead to better understanding of the movement of water through the soil-plant-water continuum.
    Citation
    Talsma CJ, Good SP, Jimenez C, Martens B, Fisher JB, et al. (2018) Partitioning of evapotranspiration in remote sensing-based models. Agricultural and Forest Meteorology 260-261: 131–143. Available: http://dx.doi.org/10.1016/j.agrformet.2018.05.010.
    Sponsors
    CT and SPG acknowledge the support of the Betty Minor scholarship. JBF contributed to this research from the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. California Institute of Technology. Government sponsorship acknowledged. JBF was supported in part by NASA’s SUSMAP, INCA, IDS, GRACE, and ECOSTRESS programs. MFM was supported by the King Abdullah University of Science and Technology. DGM acknowledges support from the European Research Council (ERC) under grant agreement n° 715254 (DRY–2–DRY). CJ acknowledges support from the EuropeanSpace Agency (ESA) under the project WACMOS-ET (Contract no. 4000106711/12/I-NB).
    Publisher
    Elsevier BV
    Journal
    Agricultural and Forest Meteorology
    DOI
    10.1016/j.agrformet.2018.05.010
    Additional Links
    http://www.sciencedirect.com/science/article/pii/S016819231830162X
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.agrformet.2018.05.010
    Scopus Count
    Collections
    Articles; Biological and Environmental Sciences and Engineering (BESE) Division; Environmental Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC)

    entitlement

     
    DSpace software copyright © 2002-2021  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service hosted 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. For anonymous users the allowed maximum amount is 50 search results.

    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.