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    Improved Retrieval of Cloud Liquid Water from CloudSat and MODIS

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 008::page 1831
    Author:
    Leinonen, Jussi
    ,
    Lebsock, Matthew D.
    ,
    Stephens, Graeme L.
    ,
    Suzuki, Kentaroh
    DOI: 10.1175/JAMC-D-16-0077.1
    Publisher: American Meteorological Society
    Abstract: revised version of the CloudSat?MODIS cloud liquid water retrieval algorithm is presented. The new algorithm, which combines measurements of radar reflectivity and cloud optical depth, addresses issues discovered in the current CloudSat?MODIS cloud water content (CWC) product. This current product is shown to be underconstrained by observations and to be too dependent on prior information incorporated into the Bayesian optimal-estimation algorithm. The most significant change made to the algorithm in this study was decreasing the number of independent variables to allow the observations to constrain the retrieved values better. The retrieval was also reformulated for improved compliance with the mathematical assumptions of the optimal-estimation algorithm. To validate the accuracy of the revised algorithm, the path-integrated attenuation (PIA) of the CloudSat radar signal was computed from the algorithm results. These modeled values were compared with independent measurements of the PIA that were obtained using a surface reference technique. This comparison shows that the cloud liquid water retrieved by the algorithm is close to being unbiased. The revised algorithm was also found to be an improvement over the current CloudSat CWC product and, to a lesser degree, the MODIS-derived cloud liquid water path.
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      Improved Retrieval of Cloud Liquid Water from CloudSat and MODIS

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4217672
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    contributor authorLeinonen, Jussi
    contributor authorLebsock, Matthew D.
    contributor authorStephens, Graeme L.
    contributor authorSuzuki, Kentaroh
    date accessioned2017-06-09T16:51:18Z
    date available2017-06-09T16:51:18Z
    date copyright2016/08/01
    date issued2016
    identifier issn1558-8424
    identifier otherams-75346.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217672
    description abstractrevised version of the CloudSat?MODIS cloud liquid water retrieval algorithm is presented. The new algorithm, which combines measurements of radar reflectivity and cloud optical depth, addresses issues discovered in the current CloudSat?MODIS cloud water content (CWC) product. This current product is shown to be underconstrained by observations and to be too dependent on prior information incorporated into the Bayesian optimal-estimation algorithm. The most significant change made to the algorithm in this study was decreasing the number of independent variables to allow the observations to constrain the retrieved values better. The retrieval was also reformulated for improved compliance with the mathematical assumptions of the optimal-estimation algorithm. To validate the accuracy of the revised algorithm, the path-integrated attenuation (PIA) of the CloudSat radar signal was computed from the algorithm results. These modeled values were compared with independent measurements of the PIA that were obtained using a surface reference technique. This comparison shows that the cloud liquid water retrieved by the algorithm is close to being unbiased. The revised algorithm was also found to be an improvement over the current CloudSat CWC product and, to a lesser degree, the MODIS-derived cloud liquid water path.
    publisherAmerican Meteorological Society
    titleImproved Retrieval of Cloud Liquid Water from CloudSat and MODIS
    typeJournal Paper
    journal volume55
    journal issue8
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-16-0077.1
    journal fristpage1831
    journal lastpage1844
    treeJournal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;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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