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    A Lagrangian Objective Analysis Technique for Assimilating In Situ Observations with Multiple-Radar-Derived Airflow

    Source: Monthly Weather Review:;2007:;volume( 135 ):;issue: 007::page 2417
    Author:
    Ziegler, Conrad L.
    ,
    Buban, Michael S.
    ,
    Rasmussen, Erik N.
    DOI: 10.1175/MWR3396.1
    Publisher: American Meteorological Society
    Abstract: A new Lagrangian analysis technique is developed to assimilate in situ boundary layer measurements using multi-Doppler-derived wind fields, providing output fields of water vapor mixing ratio, potential temperature, and virtual potential temperature from which the lifting condensation level (LCL) and relative humidity (RH) fields are derived. The Lagrangian analysis employs a continuity principle to bidirectionally distribute observed values of conservative variables with the 3D, evolving boundary layer airflow, followed by temporal and spatial interpolation to an analysis grid. Cloud is inferred at any grid point whose height z > zLCL or equivalently where RH ≥ 100%. Lagrangian analysis of the cumulus field is placed in the context of gridded analyses of visible satellite imagery and photogrammetric cloud-base area analyses. Brief illustrative examples of boundary layer morphology derived with the Lagrangian analysis are presented based on data collected during the International H2O Project (IHOP): 1) a dryline on 22 May 2002; 2) a cold-frontal?dryline ?triple point? intersection on 24 May 2002. The Lagrangian analysis preserves the sharp thermal gradients across the cold front and drylines and reveals the presence of undulations and plumes of water vapor mixing ratio and virtual potential temperature associated with deep penetrative updraft cells and convective roll circulations. Derived cloud fields are consistent with satellite-inferred cloud cover and cloud-base locations.
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      A Lagrangian Objective Analysis Technique for Assimilating In Situ Observations with Multiple-Radar-Derived Airflow

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4229445
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    • Monthly Weather Review

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    contributor authorZiegler, Conrad L.
    contributor authorBuban, Michael S.
    contributor authorRasmussen, Erik N.
    date accessioned2017-06-09T17:28:32Z
    date available2017-06-09T17:28:32Z
    date copyright2007/07/01
    date issued2007
    identifier issn0027-0644
    identifier otherams-85942.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229445
    description abstractA new Lagrangian analysis technique is developed to assimilate in situ boundary layer measurements using multi-Doppler-derived wind fields, providing output fields of water vapor mixing ratio, potential temperature, and virtual potential temperature from which the lifting condensation level (LCL) and relative humidity (RH) fields are derived. The Lagrangian analysis employs a continuity principle to bidirectionally distribute observed values of conservative variables with the 3D, evolving boundary layer airflow, followed by temporal and spatial interpolation to an analysis grid. Cloud is inferred at any grid point whose height z > zLCL or equivalently where RH ≥ 100%. Lagrangian analysis of the cumulus field is placed in the context of gridded analyses of visible satellite imagery and photogrammetric cloud-base area analyses. Brief illustrative examples of boundary layer morphology derived with the Lagrangian analysis are presented based on data collected during the International H2O Project (IHOP): 1) a dryline on 22 May 2002; 2) a cold-frontal?dryline ?triple point? intersection on 24 May 2002. The Lagrangian analysis preserves the sharp thermal gradients across the cold front and drylines and reveals the presence of undulations and plumes of water vapor mixing ratio and virtual potential temperature associated with deep penetrative updraft cells and convective roll circulations. Derived cloud fields are consistent with satellite-inferred cloud cover and cloud-base locations.
    publisherAmerican Meteorological Society
    titleA Lagrangian Objective Analysis Technique for Assimilating In Situ Observations with Multiple-Radar-Derived Airflow
    typeJournal Paper
    journal volume135
    journal issue7
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR3396.1
    journal fristpage2417
    journal lastpage2442
    treeMonthly Weather Review:;2007:;volume( 135 ):;issue: 007
    contenttypeFulltext
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