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    Short-Range Precipitation Forecasts Using Assimilation of Simulated Satellite Water Vapor Profiles and Column Cloud Liquid Water Amounts

    Source: Monthly Weather Review:;1995:;volume( 123 ):;issue: 002::page 347
    Author:
    Wu, Xiaohua
    ,
    Diak, George R.
    ,
    Hayden, Christopher M.
    ,
    Young, John A.
    DOI: 10.1175/1520-0493(1995)123<0347:SRPFUA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: These observing system simulation experiments investigate the assimilation of satellite-observed water vapor and cloud liquid water data in the initialization of a limited-area primitive equations model with the goal of improving short-range precipitation forecasts. The assimilation procedure presented includes two aspects: specification of an initial cloud liquid water vertical distribution and diabatic initialization. The satellite data is simulated for the next generation of polar-orbiting satellite instruments, the Advanced Microwave Sounding Unit (AMSU) and the High-Resolution Infrared Sounder (HIRS), which are scheduled to be launched on the NOAA-K satellite in the mid-1990s. Based on cloud-top height and total column cloud liquid water amounts simulated for satellite data, a diagnostic method is used to specify an initial cloud water vertical distribution and to modify the initial moisture distribution in cloudy areas. Using a diabatic initialization procedure, the associated latent heating profiles are directly assimilated into the numerical model. The initial heating is estimated by time averaging the latent heat release from convective and large-scale condensation during the early forecast stage after insertion of satellite-observed temperature, water vapor, and cloud water information. The assimilation of satellite-observed moisture and cloud water, together with three-mode diabatic initialization, significantly alleviates the model precipitation spinup problem, especially in the first 3 h of the forecast. Experimental forecasts indicate that the impact of satellite-observed temperature and water vapor profiles and cloud water alone in the initialization procedure shortens the spinup time for precipitation rates by 1?2 h and for regeneration of the areal coverage by 3 h. The diabatic initialization further reduces the precipitation spinup time (compared to adiabatic initialization) by 1 h.
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      Short-Range Precipitation Forecasts Using Assimilation of Simulated Satellite Water Vapor Profiles and Column Cloud Liquid Water Amounts

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4203425
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    • Monthly Weather Review

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    contributor authorWu, Xiaohua
    contributor authorDiak, George R.
    contributor authorHayden, Christopher M.
    contributor authorYoung, John A.
    date accessioned2017-06-09T16:10:17Z
    date available2017-06-09T16:10:17Z
    date copyright1995/02/01
    date issued1995
    identifier issn0027-0644
    identifier otherams-62523.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4203425
    description abstractThese observing system simulation experiments investigate the assimilation of satellite-observed water vapor and cloud liquid water data in the initialization of a limited-area primitive equations model with the goal of improving short-range precipitation forecasts. The assimilation procedure presented includes two aspects: specification of an initial cloud liquid water vertical distribution and diabatic initialization. The satellite data is simulated for the next generation of polar-orbiting satellite instruments, the Advanced Microwave Sounding Unit (AMSU) and the High-Resolution Infrared Sounder (HIRS), which are scheduled to be launched on the NOAA-K satellite in the mid-1990s. Based on cloud-top height and total column cloud liquid water amounts simulated for satellite data, a diagnostic method is used to specify an initial cloud water vertical distribution and to modify the initial moisture distribution in cloudy areas. Using a diabatic initialization procedure, the associated latent heating profiles are directly assimilated into the numerical model. The initial heating is estimated by time averaging the latent heat release from convective and large-scale condensation during the early forecast stage after insertion of satellite-observed temperature, water vapor, and cloud water information. The assimilation of satellite-observed moisture and cloud water, together with three-mode diabatic initialization, significantly alleviates the model precipitation spinup problem, especially in the first 3 h of the forecast. Experimental forecasts indicate that the impact of satellite-observed temperature and water vapor profiles and cloud water alone in the initialization procedure shortens the spinup time for precipitation rates by 1?2 h and for regeneration of the areal coverage by 3 h. The diabatic initialization further reduces the precipitation spinup time (compared to adiabatic initialization) by 1 h.
    publisherAmerican Meteorological Society
    titleShort-Range Precipitation Forecasts Using Assimilation of Simulated Satellite Water Vapor Profiles and Column Cloud Liquid Water Amounts
    typeJournal Paper
    journal volume123
    journal issue2
    journal titleMonthly Weather Review
    identifier doi10.1175/1520-0493(1995)123<0347:SRPFUA>2.0.CO;2
    journal fristpage347
    journal lastpage365
    treeMonthly Weather Review:;1995:;volume( 123 ):;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
    yabeshDSpacePersian