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New experimental method for lidar overlap factor using a CCD side-scatter technique.

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    This study presents a new method to determine the lidar overlap factor for vertically pointing Mie lidars. The approach corrects particle backscatter coefficient measurements, improving atmospheric data accuracy.

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    Area of Science:

    • Atmospheric Science
    • Optical Remote Sensing
    • Lidar Technology

    Background:

    • Accurate particle backscatter coefficient retrieval in Mie lidar measurements is crucial for atmospheric studies.
    • The lidar overlap factor significantly impacts near-ground layer measurements, necessitating precise correction.
    • Existing methods for determining the overlap factor have limitations, especially for vertically pointing systems.

    Purpose of the Study:

    • To introduce a novel experimental approach for determining the lidar overlap factor in vertically pointing Mie lidars.
    • To develop and validate an iterative algorithm for correcting the effect of the overlap factor on Mie lidar measurements.
    • To enhance the accuracy of atmospheric particle backscatter coefficient retrievals.

    Main Methods:

    • Utilizing a CCD camera side-scatter technique to measure the particle backscatter coefficient in the near-ground layer at night.
    • Implementing an iterative algorithm that combines CCD side-scatter measurements with the Fernald method for overlap correction.
    • Applying the developed method to Mie lidar measurements during a routine atmospheric monitoring campaign.

    Main Results:

    • The study successfully determined the lidar overlap factor using the proposed experimental approach.
    • The iterative algorithm effectively corrected the particle backscatter coefficient, mitigating overlap factor effects.
    • Validation through comparison across diverse atmospheric conditions confirmed the method's practical applicability.

    Conclusions:

    • The presented experimental approach provides a reliable means to determine the lidar overlap factor for vertically pointing Mie lidars.
    • The developed iterative correction algorithm enhances the accuracy of atmospheric particle backscatter coefficient measurements.
    • This method offers a practical solution for improving the quality of lidar-derived atmospheric data.