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    Four-Dimensional Variational Data Analysis of Water Vapor Raman Lidar Data and Their Impact on Mesoscale Forecasts

    Source: Journal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 008::page 1437
    Author:
    Grzeschik, Matthias
    ,
    Bauer, Hans-Stefan
    ,
    Wulfmeyer, Volker
    ,
    Engelbart, Dirk
    ,
    Wandinger, Ulla
    ,
    Mattis, Ina
    ,
    Althausen, Dietrich
    ,
    Engelmann, Ronny
    ,
    Tesche, Matthias
    ,
    Riede, Andrea
    DOI: 10.1175/2007JTECHA974.1
    Publisher: American Meteorological Society
    Abstract: The impact of water vapor observations on mesoscale initial fields provided by a triangle of Raman lidar systems covering an area of about 200 km ? 200 km is investigated. A test case during the Lindenberg Campaign for Assessment of Humidity and Cloud Profiling Systems and its Impact on High-Resolution Modeling (LAUNCH-2005) was chosen. Evaluation of initial water vapor fields derived from ECMWF analysis revealed that in the model the highly variable vertical structure of water vapor profiles was not recovered and vertical gradients were smoothed out. Using a 3-h data assimilation window and a resolution of 10?30 min, continuous water vapor data from these observations were assimilated in the fifth-generation Pennsylvania State University?NCAR Mesoscale Model (MM5) by means of a four-dimensional variational data analysis (4DVAR). A strong correction of the vertical structure and the absolute values of the initial water vapor field of the order of 1 g kg?1 was found. This occurred mainly upstream of the lidar systems within an area, which was comparable with the domain covered by the lidar systems. The correction of the water vapor field was validated using independent global positioning system (GPS) sensors. Much better agreement to GPS zenith wet delay was achieved with the initial water vapor field after 4DVAR. The impact region was transported with the mean wind and was still visible after 4 h of free forecast time.
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      Four-Dimensional Variational Data Analysis of Water Vapor Raman Lidar Data and Their Impact on Mesoscale Forecasts

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4207448
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorGrzeschik, Matthias
    contributor authorBauer, Hans-Stefan
    contributor authorWulfmeyer, Volker
    contributor authorEngelbart, Dirk
    contributor authorWandinger, Ulla
    contributor authorMattis, Ina
    contributor authorAlthausen, Dietrich
    contributor authorEngelmann, Ronny
    contributor authorTesche, Matthias
    contributor authorRiede, Andrea
    date accessioned2017-06-09T16:20:39Z
    date available2017-06-09T16:20:39Z
    date copyright2008/08/01
    date issued2008
    identifier issn0739-0572
    identifier otherams-66144.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4207448
    description abstractThe impact of water vapor observations on mesoscale initial fields provided by a triangle of Raman lidar systems covering an area of about 200 km ? 200 km is investigated. A test case during the Lindenberg Campaign for Assessment of Humidity and Cloud Profiling Systems and its Impact on High-Resolution Modeling (LAUNCH-2005) was chosen. Evaluation of initial water vapor fields derived from ECMWF analysis revealed that in the model the highly variable vertical structure of water vapor profiles was not recovered and vertical gradients were smoothed out. Using a 3-h data assimilation window and a resolution of 10?30 min, continuous water vapor data from these observations were assimilated in the fifth-generation Pennsylvania State University?NCAR Mesoscale Model (MM5) by means of a four-dimensional variational data analysis (4DVAR). A strong correction of the vertical structure and the absolute values of the initial water vapor field of the order of 1 g kg?1 was found. This occurred mainly upstream of the lidar systems within an area, which was comparable with the domain covered by the lidar systems. The correction of the water vapor field was validated using independent global positioning system (GPS) sensors. Much better agreement to GPS zenith wet delay was achieved with the initial water vapor field after 4DVAR. The impact region was transported with the mean wind and was still visible after 4 h of free forecast time.
    publisherAmerican Meteorological Society
    titleFour-Dimensional Variational Data Analysis of Water Vapor Raman Lidar Data and Their Impact on Mesoscale Forecasts
    typeJournal Paper
    journal volume25
    journal issue8
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/2007JTECHA974.1
    journal fristpage1437
    journal lastpage1453
    treeJournal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 008
    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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