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Scattering And Absorption of Light in Planetary Regoliths
Published on: July 1, 2019
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Multiple scattering by aerosols as seen from CALIPSO - a Monte-Carlo modelling study
Optics Express
|December 28, 2019
Summary
Multiple scattering (MS) in satellite lidar data can be corrected using a new parameterization based on aerosol size and optical depth. This method improves accuracy by accounting for factors previously treated as random errors.
Area of Science:
- Atmospheric Science
- Remote Sensing
- Aerosol Optics
Background:
- Satellite-borne lidar measurements are crucial for monitoring aerosols.
- Multiple scattering (MS) effects can introduce significant errors in these measurements.
- Accurate correction of MS is essential for reliable aerosol characterization.
Purpose of the Study:
- To investigate the impact of multiple scattering (MS) on satellite-borne lidar measurements.
- To develop a parameterization for the MS correction factor.
- To assess the bias introduced by neglecting MS or using constant correction factors.
Main Methods:
- Monte Carlo radiative transfer simulations were employed.
- A comprehensive set of 48 diverse aerosol scenarios were analyzed.
- The study focused on parameterizing the MS correction factor.
Main Results:
- The MS correction factor can be effectively parameterized using aerosol size and aerosol optical depth.
- Dependencies on vertical distribution and total optical depth were found to be within the scope of random error.
- A case study involving high sea salt concentrations demonstrated the parameterization's utility.
Conclusions:
- The proposed parameterization offers a more accurate approach to correcting MS in satellite lidar data.
- Ignoring MS or using a constant correction factor can lead to substantial negative bias in backscattered power.
- This research provides a valuable tool for improving aerosol retrieval from satellite lidar observations.
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