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    The Multibudget Soil, Vegetation, and Snow (SVS) Scheme for Land Surface Parameterization: Offline Warm Season Evaluation

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 008::page 2293
    Author:
    Husain, Syed Zahid
    ,
    Alavi, Nasim
    ,
    Bélair, Stéphane
    ,
    Carrera, Marco
    ,
    Zhang, Shunli
    ,
    Fortin, Vincent
    ,
    Abrahamowicz, Maria
    ,
    Gauthier, Nathalie
    DOI: 10.1175/JHM-D-15-0228.1
    Publisher: American Meteorological Society
    Abstract: new land surface parameterization scheme, named the Soil, Vegetation, and Snow (SVS) scheme, was recently developed at Environment and Climate Change Canada to replace the operationally used Interactions between Soil, Biosphere, and Atmosphere (ISBA) scheme. The new scheme is designed to address a number of weaknesses and limitations of ISBA that have been identified over the last decade. Unlike ISBA, which calculates a single energy budget for the different land surface components, SVS introduces a new tiling approach that includes separate energy budgets for bare ground, vegetation, and two different snowpacks (over bare ground and low vegetation and under high vegetation). The inclusion of a photosynthesis module as an option to determine the surface stomatal resistance is another significant addition in SVS. The representation of vertical water transport through soil has also been substantially improved in SVS with the introduction of multiple soil layers. Overall, offline simulations conducted in the present study demonstrated clear improvements in warm season meteorological predictions with SVS compared to the ISBA scheme. The results also revealed considerable reduction of standard error in the SVS-predicted L-band brightness temperature. This demonstrates the scheme?s ability for better hydrological prediction and its potential for providing more accurate soil moisture analysis. The impact of the photosynthesis module within the current implementation of SVS is, however, found to be negligible on near-surface meteorological prediction and slightly negative for brightness temperature.
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      The Multibudget Soil, Vegetation, and Snow (SVS) Scheme for Land Surface Parameterization: Offline Warm Season Evaluation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225472
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    • Journal of Hydrometeorology

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    contributor authorHusain, Syed Zahid
    contributor authorAlavi, Nasim
    contributor authorBélair, Stéphane
    contributor authorCarrera, Marco
    contributor authorZhang, Shunli
    contributor authorFortin, Vincent
    contributor authorAbrahamowicz, Maria
    contributor authorGauthier, Nathalie
    date accessioned2017-06-09T17:17:00Z
    date available2017-06-09T17:17:00Z
    date copyright2016/08/01
    date issued2016
    identifier issn1525-755X
    identifier otherams-82366.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225472
    description abstractnew land surface parameterization scheme, named the Soil, Vegetation, and Snow (SVS) scheme, was recently developed at Environment and Climate Change Canada to replace the operationally used Interactions between Soil, Biosphere, and Atmosphere (ISBA) scheme. The new scheme is designed to address a number of weaknesses and limitations of ISBA that have been identified over the last decade. Unlike ISBA, which calculates a single energy budget for the different land surface components, SVS introduces a new tiling approach that includes separate energy budgets for bare ground, vegetation, and two different snowpacks (over bare ground and low vegetation and under high vegetation). The inclusion of a photosynthesis module as an option to determine the surface stomatal resistance is another significant addition in SVS. The representation of vertical water transport through soil has also been substantially improved in SVS with the introduction of multiple soil layers. Overall, offline simulations conducted in the present study demonstrated clear improvements in warm season meteorological predictions with SVS compared to the ISBA scheme. The results also revealed considerable reduction of standard error in the SVS-predicted L-band brightness temperature. This demonstrates the scheme?s ability for better hydrological prediction and its potential for providing more accurate soil moisture analysis. The impact of the photosynthesis module within the current implementation of SVS is, however, found to be negligible on near-surface meteorological prediction and slightly negative for brightness temperature.
    publisherAmerican Meteorological Society
    titleThe Multibudget Soil, Vegetation, and Snow (SVS) Scheme for Land Surface Parameterization: Offline Warm Season Evaluation
    typeJournal Paper
    journal volume17
    journal issue8
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-15-0228.1
    journal fristpage2293
    journal lastpage2313
    treeJournal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian