Retrieval of cloud optical parameters from space-based backscatter lidar data
Y S Balin1, S V Samoilova, M M Krekova
1Institute of Atmospheric Optics, Siberian Branch of the Russian Academy of Sciences, 1 Academicheskii Avenue, 634055 Tomsk, Russia. balin@losa.iao
Applied Optics
|March 8, 2008
Summary
This study introduces a method to estimate multiple-scattering (MS) in spaceborne lidar signals from clouds. This allows for correcting single-scattering lidar equations and reconstructing cloud optical properties with improved accuracy.
Area of Science:
- Atmospheric Science
- Remote Sensing
- Cloud Physics
Background:
- Spaceborne lidar provides crucial data on cloud properties.
- Multiple scattering (MS) significantly affects lidar return signals, complicating analysis.
- Accurate retrieval of cloud optical properties requires accounting for MS effects.
Purpose of the Study:
- To develop an approach for estimating the multiple-scattering contribution to spaceborne lidar signals.
- To propose a method for correcting single-scattering lidar equations for MS.
- To create an algorithm for reconstructing cloud scattering coefficient and optical thickness (tau) profiles.
Main Methods:
- Developing an estimation technique for MS contribution in lidar return signals.
- Formulating a correction method for single-scattering lidar equations.
- Implementing an algorithm for profile reconstruction of cloud optical properties.
- Utilizing Monte Carlo simulations and real spaceborne lidar data (LITE).
Main Results:
- Quantified the MS contribution to spaceborne lidar signals.
- Demonstrated a method to correct single-scattering solutions for MS.
- Successfully reconstructed cloud scattering coefficient and optical thickness profiles.
- Validated the approach using simulated and experimental data for cirrus and stratiform clouds.
Conclusions:
- The proposed approach effectively estimates MS and corrects lidar data.
- Accurate retrieval of cloud optical properties is achievable even with uncertainties.
- This method enhances the analysis of spaceborne lidar measurements for cloud characterization.
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