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Updated: Jun 20, 2026
08:53
Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
Published on: September 23, 2013
Integral-equation method for interpreting laser-sounding data on atmospheric gas components using differential
1The Institute of Atmospheric Optics, USSR Academy of Sciences, Siberian Branch, Tomsk, USSR.
Optics Letters
|August 25, 2009
Summary
This study introduces a new algorithm to improve water vapor profile accuracy from laser sounding data. It corrects optical measurement errors and aerosol backscattering fluctuations for better atmospheric humidity field analysis.
Area of Science:
- Atmospheric science
- Remote sensing
- Optical physics
Background:
- Accurate measurement of atmospheric humidity is crucial for weather forecasting and climate studies.
- Laser sounding provides valuable data but is susceptible to optical measurement errors and aerosol interference.
Purpose of the Study:
- To develop and validate a regularizing algorithm for enhancing the accuracy of water vapor profiles obtained via laser sounding.
- To address and resolve errors from optical measurements and aerosol backscattering fluctuations.
Main Methods:
- Differential-absorption method for interpreting laser sounding data.
- A novel regularizing algorithm designed to restore the accuracy of water vapor profiles.
- Numerical experiments and real-world data analysis for validation.
Main Results:
- The proposed algorithm effectively resolves errors in optical measurements.
- Fluctuations in aerosol backscattering coefficient are successfully managed.
- Accurate water vapor profiles were reconstructed up to 8-km altitudes.
Conclusions:
- The developed inversion method significantly improves the accuracy of atmospheric humidity profiling using laser sounding.
- The algorithm offers a robust solution for correcting data affected by common atmospheric measurement challenges.
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