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    The Role of an Advanced Land Model in Seasonal Dynamical Downscaling for Crop Model Application

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 005::page 686
    Author:
    Shin, D. W.
    ,
    Bellow, J. G.
    ,
    LaRow, T. E.
    ,
    Cocke, S.
    ,
    O'Brien, James J.
    DOI: 10.1175/JAM2366.1
    Publisher: American Meteorological Society
    Abstract: An advanced land model [the National Center for Atmospheric Research (NCAR) Community Land Model, version 2 (CLM2)] is coupled to the Florida State University (FSU) regional spectral model to improve seasonal surface climate outlooks at very high spatial and temporal resolution and to examine its potential for crop yield estimation. The regional model domain is over the southeast United States and is run at 20-km resolution, roughly resolving the county level. Warm-season (March?September) simulations from the regional model coupled to the CLM2 are compared with those from the model with a simple land surface scheme (i.e., the original FSU model). In this comparison, two convective schemes are also used to evaluate their roles in simulating seasonal climate, primarily for rainfall. It is shown that the inclusion of the CLM2 produces consistently better seasonal climate scenarios of surface maximum and minimum temperatures, precipitation, and shortwave radiation, and hence provides superior inputs to a site-based crop model to simulate crop yields. The FSU regional model with the CLM2 exhibits some capability in the simulation of peanut (Arachis hypogaea L.) yields, depending upon the convective scheme employed and the site selected.
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      The Role of an Advanced Land Model in Seasonal Dynamical Downscaling for Crop Model Application

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4216508
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    contributor authorShin, D. W.
    contributor authorBellow, J. G.
    contributor authorLaRow, T. E.
    contributor authorCocke, S.
    contributor authorO'Brien, James J.
    date accessioned2017-06-09T16:47:52Z
    date available2017-06-09T16:47:52Z
    date copyright2006/05/01
    date issued2006
    identifier issn1558-8424
    identifier otherams-74299.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4216508
    description abstractAn advanced land model [the National Center for Atmospheric Research (NCAR) Community Land Model, version 2 (CLM2)] is coupled to the Florida State University (FSU) regional spectral model to improve seasonal surface climate outlooks at very high spatial and temporal resolution and to examine its potential for crop yield estimation. The regional model domain is over the southeast United States and is run at 20-km resolution, roughly resolving the county level. Warm-season (March?September) simulations from the regional model coupled to the CLM2 are compared with those from the model with a simple land surface scheme (i.e., the original FSU model). In this comparison, two convective schemes are also used to evaluate their roles in simulating seasonal climate, primarily for rainfall. It is shown that the inclusion of the CLM2 produces consistently better seasonal climate scenarios of surface maximum and minimum temperatures, precipitation, and shortwave radiation, and hence provides superior inputs to a site-based crop model to simulate crop yields. The FSU regional model with the CLM2 exhibits some capability in the simulation of peanut (Arachis hypogaea L.) yields, depending upon the convective scheme employed and the site selected.
    publisherAmerican Meteorological Society
    titleThe Role of an Advanced Land Model in Seasonal Dynamical Downscaling for Crop Model Application
    typeJournal Paper
    journal volume45
    journal issue5
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAM2366.1
    journal fristpage686
    journal lastpage701
    treeJournal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 005
    contenttypeFulltext
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