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    A Tiling Approach to Represent Subgrid Snow Variability in Coupled Land Surface–Atmosphere Models

    Source: Journal of Hydrometeorology:;2016:;Volume( 018 ):;issue: 001::page 49
    Author:
    Aas, Kjetil Schanke
    ,
    Gisnås, Kjersti
    ,
    Westermann, Sebastian
    ,
    Berntsen, Terje Koren
    DOI: 10.1175/JHM-D-16-0026.1
    Publisher: American Meteorological Society
    Abstract: mosaic approach to represent subgrid snow variation in a coupled atmosphere?land surface model (WRF?Noah) is introduced and tested. Solid precipitation is scaled in 10 subgrid tiles based on precalculated snow distributions, giving a consistent, explicit representation of variable snow cover and snow depth on subgrid scales. The method is tested in the Weather Research and Forecasting (WRF) Model for southern Norway at 3-km grid spacing, using the subgrid tiling for areas above the tree line. At a validation site in Finse, the modeled transition time from full snow cover to snow-free ground is increased from a few days with the default snow cover fraction formulation to more than 2 months with the tiling approach, which agrees with in situ observations from both digital camera images and surface temperature loggers. This in turn reduces a cold bias at this site by more than 2°C during the first half of July, with the noontime bias reduced from ?5° to ?1°C. The improved representation of subgrid snow variation also reduces a cold bias found in the reference simulation on regional scales by up to 0.8°C and increases surface energy fluxes (in particular the latent heat flux), and it resulted in up to 50% increase in monthly (June) precipitation in some of the most affected areas. By simulating individual soil properties for each tile, this approach also accounts for a number of secondary effects of uneven snow distribution resulting in different energy and moisture fluxes in different tiles also after the snow has disappeared.
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      A Tiling Approach to Represent Subgrid Snow Variability in Coupled Land Surface–Atmosphere Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225487
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    contributor authorAas, Kjetil Schanke
    contributor authorGisnås, Kjersti
    contributor authorWestermann, Sebastian
    contributor authorBerntsen, Terje Koren
    date accessioned2017-06-09T17:17:02Z
    date available2017-06-09T17:17:02Z
    date copyright2017/01/01
    date issued2016
    identifier issn1525-755X
    identifier otherams-82380.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225487
    description abstractmosaic approach to represent subgrid snow variation in a coupled atmosphere?land surface model (WRF?Noah) is introduced and tested. Solid precipitation is scaled in 10 subgrid tiles based on precalculated snow distributions, giving a consistent, explicit representation of variable snow cover and snow depth on subgrid scales. The method is tested in the Weather Research and Forecasting (WRF) Model for southern Norway at 3-km grid spacing, using the subgrid tiling for areas above the tree line. At a validation site in Finse, the modeled transition time from full snow cover to snow-free ground is increased from a few days with the default snow cover fraction formulation to more than 2 months with the tiling approach, which agrees with in situ observations from both digital camera images and surface temperature loggers. This in turn reduces a cold bias at this site by more than 2°C during the first half of July, with the noontime bias reduced from ?5° to ?1°C. The improved representation of subgrid snow variation also reduces a cold bias found in the reference simulation on regional scales by up to 0.8°C and increases surface energy fluxes (in particular the latent heat flux), and it resulted in up to 50% increase in monthly (June) precipitation in some of the most affected areas. By simulating individual soil properties for each tile, this approach also accounts for a number of secondary effects of uneven snow distribution resulting in different energy and moisture fluxes in different tiles also after the snow has disappeared.
    publisherAmerican Meteorological Society
    titleA Tiling Approach to Represent Subgrid Snow Variability in Coupled Land Surface–Atmosphere Models
    typeJournal Paper
    journal volume18
    journal issue1
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-16-0026.1
    journal fristpage49
    journal lastpage63
    treeJournal of Hydrometeorology:;2016:;Volume( 018 ):;issue: 001
    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
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