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    What is Missing from the Prescription of Hydrology for Land Surface Schemes?

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 007::page 2013
    Author:
    Davison, Bruce
    ,
    Pietroniro, Alain
    ,
    Fortin, Vincent
    ,
    Leconte, Robert
    ,
    Mamo, Moges
    ,
    Yau, M. K.
    DOI: 10.1175/JHM-D-15-0172.1
    Publisher: American Meteorological Society
    Abstract: and surface schemes (LSSs) are of potential interest both to hydrologists looking for innovative ways to simulate river flow and the land surface water balance and to atmospheric scientists looking to improve weather and climate predictions. This paper discusses three ideas, which are grounded in hydrological science, to improve LSS predictions of streamflow and latent heat fluxes. These three possibilities are 1) improved representation of lateral flow processes, 2) the appropriate representation of surface heterogeneity, and 3) calibration to streamflow as a way to account for parameter uncertainty. The current understanding of lateral hydrological processes is described along with their representation of a selected group of LSSs. Issues around spatial heterogeneity are discussed, and calibration in hydrologic models and LSSs is examined. A case study of an evapotranspiration-dominated basin with over 10 years of extensive observations in central Canada is presented. The results indicate that in this particular basin, calibration of streamflow presents atmospheric modelers with a unique opportunity to improve upon the current practice of using lookup tables to define parameter values. More studies are needed to determine if model calibration to streamflow is an appropriate method for generally improving LSS-modeled heat fluxes around the globe.
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      What is Missing from the Prescription of Hydrology for Land Surface Schemes?

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225432
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    contributor authorDavison, Bruce
    contributor authorPietroniro, Alain
    contributor authorFortin, Vincent
    contributor authorLeconte, Robert
    contributor authorMamo, Moges
    contributor authorYau, M. K.
    date accessioned2017-06-09T17:16:50Z
    date available2017-06-09T17:16:50Z
    date copyright2016/07/01
    date issued2016
    identifier issn1525-755X
    identifier otherams-82330.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225432
    description abstractand surface schemes (LSSs) are of potential interest both to hydrologists looking for innovative ways to simulate river flow and the land surface water balance and to atmospheric scientists looking to improve weather and climate predictions. This paper discusses three ideas, which are grounded in hydrological science, to improve LSS predictions of streamflow and latent heat fluxes. These three possibilities are 1) improved representation of lateral flow processes, 2) the appropriate representation of surface heterogeneity, and 3) calibration to streamflow as a way to account for parameter uncertainty. The current understanding of lateral hydrological processes is described along with their representation of a selected group of LSSs. Issues around spatial heterogeneity are discussed, and calibration in hydrologic models and LSSs is examined. A case study of an evapotranspiration-dominated basin with over 10 years of extensive observations in central Canada is presented. The results indicate that in this particular basin, calibration of streamflow presents atmospheric modelers with a unique opportunity to improve upon the current practice of using lookup tables to define parameter values. More studies are needed to determine if model calibration to streamflow is an appropriate method for generally improving LSS-modeled heat fluxes around the globe.
    publisherAmerican Meteorological Society
    titleWhat is Missing from the Prescription of Hydrology for Land Surface Schemes?
    typeJournal Paper
    journal volume17
    journal issue7
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-15-0172.1
    journal fristpage2013
    journal lastpage2039
    treeJournal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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