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4 November 2004 Combination of one-directional and multiangle data processing techniques to reduce uncertainty in the elastic lidar measurement data
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Abstract
The lidar equation uncertainty, caused by the presence of two unknown functions (extinction and backscatter coefficients), is the main source of measurement errors in the elastic lidar searching of the atmosphere. The multiangle data-processing technique that applies the layer-integrated form of the angle-dependent lidar equation, allows one to avoid the a priori selection of the extinction-to-backscatter ratio. However, the practical use of the technique is impeded by atmospheric horizontal heterogeneity and distortions in real lidar data, which worsen the inversion accuracy of the retrieved extinction-coefficient profiles; in addition, the multiangle solution is extremely sensitive even to minor systematic distortions in the inverted data. A combination of the one-directional and multiangle data-processing technique improves the measurement accuracy of the retrieved data. Here no guesses are required about the vertical profile of the extinction-to-backscatter ratio. The technique was developed and tested with experimental data using a two-wavelength scanning lidar at the Fire Sciences Laboratory in Missoula, MT, USA. The specifics, advantages, and restrictions of this combined technique are discussed and illustrated by both synthetic and experimental data.
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Vladimir A. Kovalev, Cyle Wold, Jenny Newton, and Wei Min Hao "Combination of one-directional and multiangle data processing techniques to reduce uncertainty in the elastic lidar measurement data", Proc. SPIE 5575, Laser Radar Techniques for Atmospheric Sensing, (4 November 2004); https://doi.org/10.1117/12.588424
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