Error reduction methods for integrated-path differential-absorption lidar measurements

We report new modeling and error reduction methods for differential-absorption optical-depth (DAOD) measurements of atmospheric constituents using direct-detection integrated-path differential-absorption lidars. Errors from laser frequency noise are quantified in terms of the line center fluctuation...

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Bibliographic Details
Published inOptics express Vol. 20; no. 14; pp. 15589 - 15609
Main Authors Chen, Jeffrey R, Numata, Kenji, Wu, Stewart T
Format Journal Article
LanguageEnglish
Published United States 02.07.2012
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Summary:We report new modeling and error reduction methods for differential-absorption optical-depth (DAOD) measurements of atmospheric constituents using direct-detection integrated-path differential-absorption lidars. Errors from laser frequency noise are quantified in terms of the line center fluctuation and spectral line shape of the laser pulses, revealing relationships verified experimentally. A significant DAOD bias is removed by introducing a correction factor. Errors from surface height and reflectance variations can be reduced to tolerable levels by incorporating altimetry knowledge and "log after averaging", or by pointing the laser and receiver to a fixed surface spot during each wavelength cycle to shorten the time of "averaging before log".
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ISSN:1094-4087
1094-4087
DOI:10.1364/OE.20.015589