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Calibration of a high spectral resolution lidar using a Michelson interferometer, with data examples from ORACLES
Applied Optics
|August 18, 2018
Summary
The High Spectral Resolution Lidar (HSRL-2) instrument uses a Michelson interferometer for accurate atmospheric measurements. A high contrast ratio is crucial for precise retrieval of aerosol optical properties, especially for biomass burning smoke.
Area of Science:
- Atmospheric Science
- Remote Sensing
- Lidar Technology
Background:
- The NASA Langley airborne High Spectral Resolution Lidar (HSRL-2) utilizes a Michelson interferometer for atmospheric profiling.
- Accurate retrieval of aerosol optical properties relies on precise separation of molecular and particulate backscatter.
- The contrast ratio of the interferometer is a key parameter influencing retrieval accuracy.
Purpose of the Study:
- To present retrieval equations for High Spectral Resolution Lidar (HSRL) data that account for imperfect channel separation.
- To analyze the impact of contrast ratio accuracy on the retrieval of backscattering and extinction coefficients.
- To demonstrate the application of HSRL-2 data from the ORACLES field campaign for characterizing biomass burning aerosols.
Main Methods:
- Development of retrieval algorithms incorporating incomplete separation of molecular and particulate backscatter.
- Analysis of error propagation from contrast ratio uncertainty to optical property retrievals.
- Application of the HSRL-2 instrument aboard the NASA ER-2 aircraft during the ORACLES field campaign.
Main Results:
- Underestimating the interferometer's contrast ratio leads to larger errors in optical property retrievals compared to overestimation.
- Smaller true contrast ratios and more extreme aerosol loading critically increase retrieval errors.
- Analysis of biomass burning smoke aerosols revealed distinct optical properties in adjacent layers, consistent with particle size differences.
Conclusions:
- A high and stable contrast ratio is essential for precise backscatter and extinction retrievals using HSRL-2.
- The developed retrieval equations provide a more accurate method for analyzing HSRL data, especially in complex aerosol conditions.
- HSRL-2 measurements effectively characterize the optical properties of biomass burning aerosols, aiding in understanding their climate impact.
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