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    Water Vapor Measurements by Howard University Raman Lidar during the WAVES 2006 Campaign

    Source: Journal of Atmospheric and Oceanic Technology:;2010:;volume( 027 ):;issue: 001::page 42
    Author:
    Adam, M.
    ,
    Demoz, B. B.
    ,
    Venable, D. D.
    ,
    Joseph, E.
    ,
    Connell, R.
    ,
    Whiteman, D. N.
    ,
    Gambacorta, A.
    ,
    Wei, J.
    ,
    Shephard, M. W.
    ,
    Miloshevich, L. M.
    ,
    Barnet, C. D.
    ,
    Herman, R. L.
    ,
    Fitzgibbon, J.
    DOI: 10.1175/2009JTECHA1331.1
    Publisher: American Meteorological Society
    Abstract: Water vapor mixing ratio retrieval using the Howard University Raman lidar is presented with emphasis on three aspects: (i) comparison of the lidar with collocated radiosondes and Raman lidar, (ii) investigation of the relationship between atmospheric state variables and the relative performance of the lidar and sonde (in particular, their poor agreement), and (iii) comparison with satellite-based measurements. The measurements were acquired during the Water Vapor Validation Experiment Sondes/Satellites 2006 campaign. Ensemble averaging of water vapor mixing ratio data from 10 nighttime comparisons with Vaisala RS92 radiosondes shows, on average, an agreement within ±10%, up to ?8 km. A similar analysis of lidar-to-lidar data of over 700 profiles revealed an agreement to within 20% over the first 7 km (10% below 4 km). A grid analysis, defined in the temperature?relative humidity space, was developed to characterize the lidar?radiosonde agreement and quantitatively localizes regions of strong and weak correlations as a function of altitude, temperature, or relative humidity. Three main regions of weak correlation emerge: (i) regions of low relative humidity and low temperature, (ii) regions of moderate relative humidity at low temperatures, and (iii) regions of low relative humidity at moderate temperatures. Comparison of Atmospheric Infrared Sounder and Tropospheric Emission Sounder satellite retrievals of moisture with those of Howard University Raman lidar showed a general agreement in the trend, but the satellites miss details in atmospheric structure because of their low resolution. A relative difference of about ±20% is usually found between lidar and satellite measurements for the coincidences available.
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      Water Vapor Measurements by Howard University Raman Lidar during the WAVES 2006 Campaign

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4211030
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorAdam, M.
    contributor authorDemoz, B. B.
    contributor authorVenable, D. D.
    contributor authorJoseph, E.
    contributor authorConnell, R.
    contributor authorWhiteman, D. N.
    contributor authorGambacorta, A.
    contributor authorWei, J.
    contributor authorShephard, M. W.
    contributor authorMiloshevich, L. M.
    contributor authorBarnet, C. D.
    contributor authorHerman, R. L.
    contributor authorFitzgibbon, J.
    date accessioned2017-06-09T16:31:24Z
    date available2017-06-09T16:31:24Z
    date copyright2010/01/01
    date issued2010
    identifier issn0739-0572
    identifier otherams-69369.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211030
    description abstractWater vapor mixing ratio retrieval using the Howard University Raman lidar is presented with emphasis on three aspects: (i) comparison of the lidar with collocated radiosondes and Raman lidar, (ii) investigation of the relationship between atmospheric state variables and the relative performance of the lidar and sonde (in particular, their poor agreement), and (iii) comparison with satellite-based measurements. The measurements were acquired during the Water Vapor Validation Experiment Sondes/Satellites 2006 campaign. Ensemble averaging of water vapor mixing ratio data from 10 nighttime comparisons with Vaisala RS92 radiosondes shows, on average, an agreement within ±10%, up to ?8 km. A similar analysis of lidar-to-lidar data of over 700 profiles revealed an agreement to within 20% over the first 7 km (10% below 4 km). A grid analysis, defined in the temperature?relative humidity space, was developed to characterize the lidar?radiosonde agreement and quantitatively localizes regions of strong and weak correlations as a function of altitude, temperature, or relative humidity. Three main regions of weak correlation emerge: (i) regions of low relative humidity and low temperature, (ii) regions of moderate relative humidity at low temperatures, and (iii) regions of low relative humidity at moderate temperatures. Comparison of Atmospheric Infrared Sounder and Tropospheric Emission Sounder satellite retrievals of moisture with those of Howard University Raman lidar showed a general agreement in the trend, but the satellites miss details in atmospheric structure because of their low resolution. A relative difference of about ±20% is usually found between lidar and satellite measurements for the coincidences available.
    publisherAmerican Meteorological Society
    titleWater Vapor Measurements by Howard University Raman Lidar during the WAVES 2006 Campaign
    typeJournal Paper
    journal volume27
    journal issue1
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/2009JTECHA1331.1
    journal fristpage42
    journal lastpage60
    treeJournal of Atmospheric and Oceanic Technology:;2010:;volume( 027 ):;issue: 001
    contenttypeFulltext
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