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    Testing IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data

    Source: Journal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 001::page 135
    Author:
    Heymsfield, Andrew J.
    ,
    Protat, Alain
    ,
    Bouniol, Dominique
    ,
    Austin, Richard T.
    ,
    Hogan, Robin J.
    ,
    Delanoë, Julien
    ,
    Okamoto, Hajime
    ,
    Sato, Kaori
    ,
    van Zadelhoff, Gerd-Jan
    ,
    Donovan, David P.
    ,
    Wang, Zhien
    DOI: 10.1175/2007JAMC1606.1
    Publisher: American Meteorological Society
    Abstract: Vertical profiles of ice water content (IWC) can now be derived globally from spaceborne cloud satellite radar (CloudSat) data. Integrating these data with Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data may further increase accuracy. Evaluations of the accuracy of IWC retrieved from radar alone and together with other measurements are now essential. A forward model employing aircraft Lagrangian spiral descents through mid- and low-latitude ice clouds is used to estimate profiles of what a lidar and conventional and Doppler radar would sense. Radar reflectivity Ze and Doppler fall speed at multiple wavelengths and extinction in visible wavelengths were derived from particle size distributions and shape data, constrained by IWC that were measured directly in most instances. These data were provided to eight teams that together cover 10 retrieval methods. Almost 3400 vertically distributed points from 19 clouds were used. Approximate cloud optical depths ranged from below 1 to more than 50. The teams returned retrieval IWC profiles that were evaluated in seven different ways to identify the amount and sources of errors. The mean (median) ratio of the retrieved-to-measured IWC was 1.15 (1.03) ± 0.66 for all teams, 1.08 (1.00) ± 0.60 for those employing a lidar?radar approach, and 1.27 (1.12) ± 0.78 for the standard CloudSat radar?visible optical depth algorithm for Ze > ?28 dBZe. The ratios for the groups employing the lidar?radar approach and the radar?visible optical depth algorithm may be lower by as much as 25% because of uncertainties in the extinction in small ice particles provided to the groups. Retrievals from future spaceborne radar using reflectivity?Doppler fall speeds show considerable promise. A lidar?radar approach, as applied to measurements from CALIPSO and CloudSat, is useful only in a narrow range of ice water paths (IWP) (40 < IWP < 100 g m?2). Because of the use of the Rayleigh approximation at high reflectivities in some of the algorithms and differences in the way nonspherical particles and Mie effects are considered, IWC retrievals in regions of radar reflectivity at 94 GHz exceeding about 5 dBZe are subject to uncertainties of ±50%.
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      Testing IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4206550
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    contributor authorHeymsfield, Andrew J.
    contributor authorProtat, Alain
    contributor authorBouniol, Dominique
    contributor authorAustin, Richard T.
    contributor authorHogan, Robin J.
    contributor authorDelanoë, Julien
    contributor authorOkamoto, Hajime
    contributor authorSato, Kaori
    contributor authorvan Zadelhoff, Gerd-Jan
    contributor authorDonovan, David P.
    contributor authorWang, Zhien
    date accessioned2017-06-09T16:18:09Z
    date available2017-06-09T16:18:09Z
    date copyright2008/01/01
    date issued2008
    identifier issn1558-8424
    identifier otherams-65336.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206550
    description abstractVertical profiles of ice water content (IWC) can now be derived globally from spaceborne cloud satellite radar (CloudSat) data. Integrating these data with Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data may further increase accuracy. Evaluations of the accuracy of IWC retrieved from radar alone and together with other measurements are now essential. A forward model employing aircraft Lagrangian spiral descents through mid- and low-latitude ice clouds is used to estimate profiles of what a lidar and conventional and Doppler radar would sense. Radar reflectivity Ze and Doppler fall speed at multiple wavelengths and extinction in visible wavelengths were derived from particle size distributions and shape data, constrained by IWC that were measured directly in most instances. These data were provided to eight teams that together cover 10 retrieval methods. Almost 3400 vertically distributed points from 19 clouds were used. Approximate cloud optical depths ranged from below 1 to more than 50. The teams returned retrieval IWC profiles that were evaluated in seven different ways to identify the amount and sources of errors. The mean (median) ratio of the retrieved-to-measured IWC was 1.15 (1.03) ± 0.66 for all teams, 1.08 (1.00) ± 0.60 for those employing a lidar?radar approach, and 1.27 (1.12) ± 0.78 for the standard CloudSat radar?visible optical depth algorithm for Ze > ?28 dBZe. The ratios for the groups employing the lidar?radar approach and the radar?visible optical depth algorithm may be lower by as much as 25% because of uncertainties in the extinction in small ice particles provided to the groups. Retrievals from future spaceborne radar using reflectivity?Doppler fall speeds show considerable promise. A lidar?radar approach, as applied to measurements from CALIPSO and CloudSat, is useful only in a narrow range of ice water paths (IWP) (40 < IWP < 100 g m?2). Because of the use of the Rayleigh approximation at high reflectivities in some of the algorithms and differences in the way nonspherical particles and Mie effects are considered, IWC retrievals in regions of radar reflectivity at 94 GHz exceeding about 5 dBZe are subject to uncertainties of ±50%.
    publisherAmerican Meteorological Society
    titleTesting IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data
    typeJournal Paper
    journal volume47
    journal issue1
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2007JAMC1606.1
    journal fristpage135
    journal lastpage163
    treeJournal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 001
    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