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    Differential Absorption Lidar Measurements of Atmospheric Temperature Profiles: Theory and Experiment

    Source: Journal of Atmospheric and Oceanic Technology:;1993:;volume( 010 ):;issue: 002::page 165
    Author:
    Theopold, Felix A.
    ,
    Bösenberg, Jens
    DOI: 10.1175/1520-0426(1993)010<0165:DALMOA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The method of measuring atmospheric temperature profiles with differential absorption lidar (DIAL), based on the temperature dependence of oxygen absorption lines in the near infrared, is investigated in some detail. Particularly the influence of Doppler broadening on the Rayleigh-backscattered signal is evaluated, and a correction method for this effect is presented. This correction, however, requires an accurate estimate of the molecular- and particle backscatter contributions, which is hardly achievable by usual lidar inversion techniques. Under realistic conditions, resulting errors may be as high as 10 K. First range-resolved measurements using this technique are presented, using a slightly modified DIAL system originally constructed for water vapor measurements. Temperature profiles in the planetary boundary layer are obtained with a resolution of 82 m vertical and 30 min in time, showing an absolute accuracy of 4 K and an error in the temperature gradient of 0.5 K (100 m)?1. While much better resolution can certainly be achieved by technical improvements, the errors introduced by the uncertainty of the backscatter contributions will remain and determine the accuracy that can be obtained with this method.
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      Differential Absorption Lidar Measurements of Atmospheric Temperature Profiles: Theory and Experiment

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4222177
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    • Journal of Atmospheric and Oceanic Technology

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    contributor authorTheopold, Felix A.
    contributor authorBösenberg, Jens
    date accessioned2017-06-09T17:06:06Z
    date available2017-06-09T17:06:06Z
    date copyright1993/04/01
    date issued1993
    identifier issn0739-0572
    identifier otherams-794.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222177
    description abstractThe method of measuring atmospheric temperature profiles with differential absorption lidar (DIAL), based on the temperature dependence of oxygen absorption lines in the near infrared, is investigated in some detail. Particularly the influence of Doppler broadening on the Rayleigh-backscattered signal is evaluated, and a correction method for this effect is presented. This correction, however, requires an accurate estimate of the molecular- and particle backscatter contributions, which is hardly achievable by usual lidar inversion techniques. Under realistic conditions, resulting errors may be as high as 10 K. First range-resolved measurements using this technique are presented, using a slightly modified DIAL system originally constructed for water vapor measurements. Temperature profiles in the planetary boundary layer are obtained with a resolution of 82 m vertical and 30 min in time, showing an absolute accuracy of 4 K and an error in the temperature gradient of 0.5 K (100 m)?1. While much better resolution can certainly be achieved by technical improvements, the errors introduced by the uncertainty of the backscatter contributions will remain and determine the accuracy that can be obtained with this method.
    publisherAmerican Meteorological Society
    titleDifferential Absorption Lidar Measurements of Atmospheric Temperature Profiles: Theory and Experiment
    typeJournal Paper
    journal volume10
    journal issue2
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/1520-0426(1993)010<0165:DALMOA>2.0.CO;2
    journal fristpage165
    journal lastpage179
    treeJournal of Atmospheric and Oceanic Technology:;1993:;volume( 010 ):;issue: 002
    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