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    COAMPS Real-Time Dust Storm Forecasting during Operation Iraqi Freedom

    Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 001::page 192
    Author:
    Liu, Ming
    ,
    Westphal, Douglas L.
    ,
    Walker, Annette L.
    ,
    Holt, Teddy R.
    ,
    Richardson, Kim A.
    ,
    Miller, Steven D.
    DOI: 10.1175/WAF971.1
    Publisher: American Meteorological Society
    Abstract: Dust storms are a significant weather phenomenon in the Iraq region in winter and spring. Real-time dust forecasting using the U.S. Navy?s Coupled Ocean?Atmospheric Mesoscale Prediction System (COAMPS) with an in-line dust aerosol model was conducted for Operation Iraqi Freedom (OIF) in March and April 2003. Daily forecasts of dust mass concentration, visibility, and optical depth were produced out to 72 h on nested grids of 9-, 27-, and 81-km resolution in two-way nest interaction. In this paper, the model is described, as are examples of its application during OIF. The model performance is evaluated using ground weather reports, visibility observations, and enhanced satellite retrievals. The comparison of the model forecasts with observations for the severe dust storms of OIF shows that COAMPS predicted the arrival and retreat of the major dust events within 2 h. In most cases, COAMPS predicted the intensity (reduction in visibility) of storms with an error of less than 1 km. The forecasts of the spatial distribution of dust fronts and dust plumes were consistent with those seen in the satellite images and the corresponding cold front observations. A statistical analysis of dust-related visibility for the OIF period reveals that COAMPS generates higher bias, rms, and relative errors at the stations having high frequencies of dust storms and near the source areas. The calculation of forecast accuracy shows that COAMPS achieved a probability of dust detection of 50%?90% and a threat score of 0.3?0.55 at the stations with frequent dust storms. Overall, the model predicted more than 85% of the observed dust and nondust weather events at the stations used in the verification for the OIF period. Comparisons of the forecast rates and statistical errors for the forecasts of different lengths (12?72 h) for both dust and dynamics fields during the strong dust storm of 26 March revealed little dependence of model accuracy on forecast length, implying that the successive COAMPS forecasts were consistent for the severest OIF dust event.
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      COAMPS Real-Time Dust Storm Forecasting during Operation Iraqi Freedom

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    contributor authorLiu, Ming
    contributor authorWestphal, Douglas L.
    contributor authorWalker, Annette L.
    contributor authorHolt, Teddy R.
    contributor authorRichardson, Kim A.
    contributor authorMiller, Steven D.
    date accessioned2017-06-09T17:35:17Z
    date available2017-06-09T17:35:17Z
    date copyright2007/02/01
    date issued2007
    identifier issn0882-8156
    identifier otherams-87659.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231352
    description abstractDust storms are a significant weather phenomenon in the Iraq region in winter and spring. Real-time dust forecasting using the U.S. Navy?s Coupled Ocean?Atmospheric Mesoscale Prediction System (COAMPS) with an in-line dust aerosol model was conducted for Operation Iraqi Freedom (OIF) in March and April 2003. Daily forecasts of dust mass concentration, visibility, and optical depth were produced out to 72 h on nested grids of 9-, 27-, and 81-km resolution in two-way nest interaction. In this paper, the model is described, as are examples of its application during OIF. The model performance is evaluated using ground weather reports, visibility observations, and enhanced satellite retrievals. The comparison of the model forecasts with observations for the severe dust storms of OIF shows that COAMPS predicted the arrival and retreat of the major dust events within 2 h. In most cases, COAMPS predicted the intensity (reduction in visibility) of storms with an error of less than 1 km. The forecasts of the spatial distribution of dust fronts and dust plumes were consistent with those seen in the satellite images and the corresponding cold front observations. A statistical analysis of dust-related visibility for the OIF period reveals that COAMPS generates higher bias, rms, and relative errors at the stations having high frequencies of dust storms and near the source areas. The calculation of forecast accuracy shows that COAMPS achieved a probability of dust detection of 50%?90% and a threat score of 0.3?0.55 at the stations with frequent dust storms. Overall, the model predicted more than 85% of the observed dust and nondust weather events at the stations used in the verification for the OIF period. Comparisons of the forecast rates and statistical errors for the forecasts of different lengths (12?72 h) for both dust and dynamics fields during the strong dust storm of 26 March revealed little dependence of model accuracy on forecast length, implying that the successive COAMPS forecasts were consistent for the severest OIF dust event.
    publisherAmerican Meteorological Society
    titleCOAMPS Real-Time Dust Storm Forecasting during Operation Iraqi Freedom
    typeJournal Paper
    journal volume22
    journal issue1
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF971.1
    journal fristpage192
    journal lastpage206
    treeWeather and Forecasting:;2007:;volume( 022 ):;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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