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    Verification of the NOAA Smoke Forecasting System: Model Sensitivity to the Injection Height

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 002::page 379
    Author:
    Stein, Ariel F.
    ,
    Rolph, Glenn D.
    ,
    Draxler, Roland R.
    ,
    Stunder, Barbara
    ,
    Ruminski, Mark
    DOI: 10.1175/2008WAF2222166.1
    Publisher: American Meteorological Society
    Abstract: A detailed evaluation of NOAA?s Smoke Forecasting System (SFS) is a fundamental part of its development and further refinement. In this work, particulate matter with a diameter less than or equal to 2.5-?m (PM2.5) concentration levels, simulated by the SFS, have been evaluated against satellite and surface measurements. Four multiday forest fire case studies, one covering the continental United States, two in California, and one near the Georgia?Florida border, have been analyzed. The column-integrated PM2.5 concentrations for these cases compared to the satellite measurements showed a similar or better statistical performance than the mean performance of the SFS for the period covering 1 September 2006?1 November 2007. However, near the surface, the model shows a tendency to overpredict the measured PM2.5 concentrations in the western United States and underpredict concentrations for the Georgia?Florida case. Furthermore, a sensitivity analysis of the model response to changes in the smoke release height shows that the simulated surface and column-integrated PM2.5 concentrations are very sensitive to variations in this parameter. Indeed, the model capability to represent the measured values is highly dependent on the accuracy of the determination of the actual injection height and in particular to whether the smoke injection actually occurred below or above the planetary boundary layer.
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      Verification of the NOAA Smoke Forecasting System: Model Sensitivity to the Injection Height

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4209624
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    contributor authorStein, Ariel F.
    contributor authorRolph, Glenn D.
    contributor authorDraxler, Roland R.
    contributor authorStunder, Barbara
    contributor authorRuminski, Mark
    date accessioned2017-06-09T16:27:07Z
    date available2017-06-09T16:27:07Z
    date copyright2009/04/01
    date issued2009
    identifier issn0882-8156
    identifier otherams-68102.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209624
    description abstractA detailed evaluation of NOAA?s Smoke Forecasting System (SFS) is a fundamental part of its development and further refinement. In this work, particulate matter with a diameter less than or equal to 2.5-?m (PM2.5) concentration levels, simulated by the SFS, have been evaluated against satellite and surface measurements. Four multiday forest fire case studies, one covering the continental United States, two in California, and one near the Georgia?Florida border, have been analyzed. The column-integrated PM2.5 concentrations for these cases compared to the satellite measurements showed a similar or better statistical performance than the mean performance of the SFS for the period covering 1 September 2006?1 November 2007. However, near the surface, the model shows a tendency to overpredict the measured PM2.5 concentrations in the western United States and underpredict concentrations for the Georgia?Florida case. Furthermore, a sensitivity analysis of the model response to changes in the smoke release height shows that the simulated surface and column-integrated PM2.5 concentrations are very sensitive to variations in this parameter. Indeed, the model capability to represent the measured values is highly dependent on the accuracy of the determination of the actual injection height and in particular to whether the smoke injection actually occurred below or above the planetary boundary layer.
    publisherAmerican Meteorological Society
    titleVerification of the NOAA Smoke Forecasting System: Model Sensitivity to the Injection Height
    typeJournal Paper
    journal volume24
    journal issue2
    journal titleWeather and Forecasting
    identifier doi10.1175/2008WAF2222166.1
    journal fristpage379
    journal lastpage394
    treeWeather and Forecasting:;2009:;volume( 024 ):;issue: 002
    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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