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Correction function for the lidar equation and some techniques for incoherent CO(2) lidar data reduction.

Y Zhao, T K Lea, R M Schotland

|June 10, 2010

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This study analyzes the convolution effect in carbon dioxide (CO2) lidar signals caused by long laser pulses. A novel deconvolution technique is introduced to accurately measure atmospheric scattering and gas content.

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Area of Science:

Atmospheric physics
Optical remote sensing
Spectroscopy

Background:

Laser pulse duration significantly impacts lidar signal interpretation.
Accurate atmospheric composition measurements are crucial for climate monitoring.
Existing lidar equations do not fully account for pulse-induced signal distortions.

Purpose of the Study:

To analyze the convolution effect in CO2 lidar signals due to long laser pulses.
To develop a deconvolution method for improving lidar data accuracy.
To enable precise measurement of atmospheric scattering and gas species content.

Main Methods:

Modified the standard lidar equation.
Introduced a novel correction function, C(r)(R).
Implemented a two-step iterative deconvolution procedure.

Main Results:

Characterized the behavior of the C(r)(R) correction function.
Successfully extracted the aerosol scattering coefficient.
Enabled accurate determination of gas species concentration.

Conclusions:

The developed deconvolution technique effectively corrects for pulse-induced signal convolution.
This method enhances the accuracy of differential absorption lidar measurements.
Improved lidar data quality supports more reliable atmospheric studies.