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    Automated Retrieval of Cloud and Aerosol Properties from the ARM Raman Lidar. Part II: Extinction

    Source: Journal of Atmospheric and Oceanic Technology:;2015:;volume( 032 ):;issue: 011::page 1999
    Author:
    Thorsen, Tyler J.
    ,
    Fu, Qiang
    DOI: 10.1175/JTECH-D-14-00178.1
    Publisher: American Meteorological Society
    Abstract: feature detection and extinction retrieval (FEX) algorithm for the Atmospheric Radiation Measurement Program?s (ARM) Raman lidar (RL) has been developed. Presented here is Part II of the FEX algorithm: the retrieval of cloud and aerosol extinction profiles. The directly retrieved extinction profiles using the Raman method are supplemented by other retrieval methods developed for elastic backscatter lidars. Portions of features where the extinction-to-backscatter ratios (i.e., lidar ratios) can be obtained are used to infer the lidar ratios for the regions where no such estimate can be made. When neither directly retrieved nor an inferred value can be determined, a climatological lidar ratio is used. This best-estimate approach results in the need to use climatological lidar ratios for less than about 5% of features, except for thin cirrus at the ARM tropical western Pacific Darwin site, where above 12 km, about 20% of clouds use a climatological lidar ratio. A classification of feature type is made, guided by the atmosphere?s thermodynamic state and the feature?s scattering properties: lidar ratio, backscatter, and depolarization. The contribution of multiple scattering is explicitly considered for each of the ARM RL channels. A comparison between aerosol optical depth from FEX and that from collocated sun photometers over multiple years at two ARM sites shows an agreement (in terms of bias error) of about ?0.3% to ?4.3% (relative to the sun photometer).
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      Automated Retrieval of Cloud and Aerosol Properties from the ARM Raman Lidar. Part II: Extinction

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    contributor authorThorsen, Tyler J.
    contributor authorFu, Qiang
    date accessioned2017-06-09T17:26:02Z
    date available2017-06-09T17:26:02Z
    date copyright2015/11/01
    date issued2015
    identifier issn0739-0572
    identifier otherams-85177.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228595
    description abstractfeature detection and extinction retrieval (FEX) algorithm for the Atmospheric Radiation Measurement Program?s (ARM) Raman lidar (RL) has been developed. Presented here is Part II of the FEX algorithm: the retrieval of cloud and aerosol extinction profiles. The directly retrieved extinction profiles using the Raman method are supplemented by other retrieval methods developed for elastic backscatter lidars. Portions of features where the extinction-to-backscatter ratios (i.e., lidar ratios) can be obtained are used to infer the lidar ratios for the regions where no such estimate can be made. When neither directly retrieved nor an inferred value can be determined, a climatological lidar ratio is used. This best-estimate approach results in the need to use climatological lidar ratios for less than about 5% of features, except for thin cirrus at the ARM tropical western Pacific Darwin site, where above 12 km, about 20% of clouds use a climatological lidar ratio. A classification of feature type is made, guided by the atmosphere?s thermodynamic state and the feature?s scattering properties: lidar ratio, backscatter, and depolarization. The contribution of multiple scattering is explicitly considered for each of the ARM RL channels. A comparison between aerosol optical depth from FEX and that from collocated sun photometers over multiple years at two ARM sites shows an agreement (in terms of bias error) of about ?0.3% to ?4.3% (relative to the sun photometer).
    publisherAmerican Meteorological Society
    titleAutomated Retrieval of Cloud and Aerosol Properties from the ARM Raman Lidar. Part II: Extinction
    typeJournal Paper
    journal volume32
    journal issue11
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-14-00178.1
    journal fristpage1999
    journal lastpage2023
    treeJournal of Atmospheric and Oceanic Technology:;2015:;volume( 032 ):;issue: 011
    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
    yabeshDSpacePersian