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10 - Lidar Data Analysis

Published online by Cambridge University Press:  16 February 2023

Gary G. Gimmestad  and
David W. Roberts
Gary G. Gimmestad
Affiliation:
Georgia Institute of Technology
David W. Roberts
Affiliation:
MicroDynamics LLC
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Summary

Data analysis starts with preprocessing raw lidar data. Algorithms are presented and explained for digital filtering, background subtraction, range correction, and merging profiles from multiple receiver channels or from hybrid analog/digital data systems. Analysis techniques for cloud and aerosol lidar data are then illustrated, with examples of raw and range-corrected data followed by the scattering ratio, which can be used to find the transmittance of a cloud or aerosol layer. Analysis of depolarization data from co-polar and cross-polar receiver channels is discussed, and an algorithm is included for separating aerosol depolarization from the total atmospheric depolarization. Other simple techniques that do not require data inversion are then covered, including the slope method and multi-angle lidar. Finally, elastic backscatter lidar inversions are described, with a derivation of the Klett method for a single-component atmosphere (aerosols). The algorithms for a two-component atmosphere (molecules and aerosols) are presented, along with the limitations of this method.

Keywords

data analysisFIR filterbackground subtractionrange correctionscattering ratiodepolarizationslope methodmulti-angle lidarKlett inversion
Type
Chapter
Information
Lidar Engineering
Introduction to Basic Principles
 , pp. 268 - 296
Publisher: Cambridge University Press
Print publication year: 2023

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References

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