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Microphysical particle parameters from extinction and backscatter lidar data by inversion with regularization:

D Müller1, U Wandinger, A Ansmann

  • 1Institute for Tropospheric Research, Permoserstrasse 15, 04318 Leipzig, Germany. detlef@tropos.de

Applied Optics
|March 6, 2008
PubMed
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This study presents an inversion scheme to retrieve tropospheric particle properties like size and refractive index from lidar data. The method shows reliable retrieval of key parameters, enabling routine evaluation of atmospheric particle measurements.

Area of Science:

  • Atmospheric Science
  • Optical Physics
  • Remote Sensing

Background:

  • Accurate characterization of tropospheric particle size distributions is crucial for understanding atmospheric processes.
  • Lidar measurements provide valuable optical data (backscatter and extinction coefficients) for inferring particle properties.

Purpose of the Study:

  • To develop and validate a sensitivity study for an inversion scheme to retrieve physical parameters of tropospheric particle size distributions.
  • To assess the scheme's performance under various conditions, including erroneous optical data and unknown particle characteristics.

Main Methods:

  • Utilized Mie-scattering calculations for monomodal and bimodal logarithmic-normal distributions.
  • Employed optical data at multiple wavelengths (355-1064 nm) from lidar systems.

Related Experiment Videos

  • Investigated the impact of data errors, unknown refractive index, and distribution modality on retrieval accuracy.

    • Main Results:

    • The inversion scheme successfully retrieves effective radius, surface-area, and volume concentrations within +/-50% accuracy.
    • Real and imaginary parts of the complex refractive index are retrieved with +/-0.1 and +/-50% accuracy, respectively.
    • Number concentration retrieval can exceed 50% error, but the scheme allows for routine experimental data evaluation.

    Conclusions:

    • Both backscatter and extinction lidar channels are essential for accurate retrieval of most particle parameters.
    • The developed inversion scheme demonstrates robustness and suitability for routine atmospheric particle analysis.
    • This method enhances our ability to characterize aerosols and their impact on the atmosphere.