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    Assimilation of Synthetic GOES-R ABI Infrared Brightness Temperatures and WSR-88D Radar Observations in a High-Resolution OSSE

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 009::page 3159
    Author:
    Cintineo, Rebecca M.
    ,
    Otkin, Jason A.
    ,
    Jones, Thomas A.
    ,
    Koch, Steven
    ,
    Stensrud, David J.
    DOI: 10.1175/MWR-D-15-0366.1
    Publisher: American Meteorological Society
    Abstract: his study uses an observing system simulation experiment to explore the impact of assimilating GOES-R Advanced Baseline Imager (ABI) 6.95-?m brightness temperatures and Weather Surveillance Radar-1988 Doppler (WSR-88D) reflectivity and radial velocity observations in an ensemble data assimilation system. A high-resolution truth simulation was used to create synthetic radar and satellite observations of a severe weather event that occurred across the U.S. central plains on 4?5 June 2005. The experiment employs the Weather Research and Forecasting Model at 4-km horizontal grid spacing and the ensemble adjustment Kalman filter algorithm in the Data Assimilation Research Testbed system. The ability of GOES-R ABI brightness temperatures to improve the analysis and forecast accuracy when assimilated separately or simultaneously with Doppler radar reflectivity and radial velocity observations was assessed, along with the use of bias correction and different covariance localization radii for the brightness temperatures. Results show that the radar observations accurately capture the structure of a portion of the storm complex by the end of the assimilation period, but that more of the storms and atmospheric features are reproduced and the accuracy of the ensuing forecast improved when the brightness temperatures are also assimilated.
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      Assimilation of Synthetic GOES-R ABI Infrared Brightness Temperatures and WSR-88D Radar Observations in a High-Resolution OSSE

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4230849
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    contributor authorCintineo, Rebecca M.
    contributor authorOtkin, Jason A.
    contributor authorJones, Thomas A.
    contributor authorKoch, Steven
    contributor authorStensrud, David J.
    date accessioned2017-06-09T17:33:35Z
    date available2017-06-09T17:33:35Z
    date copyright2016/09/01
    date issued2016
    identifier issn0027-0644
    identifier otherams-87205.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230849
    description abstracthis study uses an observing system simulation experiment to explore the impact of assimilating GOES-R Advanced Baseline Imager (ABI) 6.95-?m brightness temperatures and Weather Surveillance Radar-1988 Doppler (WSR-88D) reflectivity and radial velocity observations in an ensemble data assimilation system. A high-resolution truth simulation was used to create synthetic radar and satellite observations of a severe weather event that occurred across the U.S. central plains on 4?5 June 2005. The experiment employs the Weather Research and Forecasting Model at 4-km horizontal grid spacing and the ensemble adjustment Kalman filter algorithm in the Data Assimilation Research Testbed system. The ability of GOES-R ABI brightness temperatures to improve the analysis and forecast accuracy when assimilated separately or simultaneously with Doppler radar reflectivity and radial velocity observations was assessed, along with the use of bias correction and different covariance localization radii for the brightness temperatures. Results show that the radar observations accurately capture the structure of a portion of the storm complex by the end of the assimilation period, but that more of the storms and atmospheric features are reproduced and the accuracy of the ensuing forecast improved when the brightness temperatures are also assimilated.
    publisherAmerican Meteorological Society
    titleAssimilation of Synthetic GOES-R ABI Infrared Brightness Temperatures and WSR-88D Radar Observations in a High-Resolution OSSE
    typeJournal Paper
    journal volume144
    journal issue9
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-15-0366.1
    journal fristpage3159
    journal lastpage3180
    treeMonthly Weather Review:;2016:;volume( 144 ):;issue: 009
    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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