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Related Experiment Videos

Ozone differential absorption lidar algorithm intercomparison.

S Godin1, A I Carswell, D P Donovan

  • 1Service d'Aéronomie, Centre National de la Recherche Scientifique, Université Pierre et Marie Curie, 75252 Paris Cedex 05, France. sophie.godin@aero.jussieu.fr

Applied Optics
|March 8, 2008
PubMed
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An intercomparison of ozone differential absorption lidar algorithms revealed biases in the upper stratosphere above 30 km. Current lidar systems may struggle to detect long-term ozone trends above 40 km due to signal-to-noise ratio limitations.

Area of Science:

  • Atmospheric Science
  • Remote Sensing
  • Lidar Technology

Background:

  • The Network for the Detection of Stratospheric Changes (NDSC) utilizes differential absorption lidar (DIAL) for ozone monitoring.
  • Accurate ozone profile retrieval is crucial for understanding stratospheric changes and long-term trends.

Purpose of the Study:

  • To intercompare various ozone DIAL algorithms used within the NDSC.
  • To assess the accuracy and vertical resolution of these algorithms in retrieving ozone number density from lidar signals.
  • To identify limitations of DIAL algorithms in different stratospheric regions.

Main Methods:

  • Processing of synthetic lidar signals based on Rayleigh scattering and predefined ozone profiles.
  • Inclusion of perturbed ozone profiles to test algorithm response to variations.

Related Experiment Videos

  • Simulation of signal-to-noise ratio degradation with altitude.

    • Main Results:

    • Lidar algorithms showed low bias (<1%) below 30 km for unperturbed profiles.
    • Significant biases (up to 10% at 45 km) were observed in the upper stratosphere.
    • Algorithm performance degraded with altitude due to decreased signal-to-noise ratio and increased smoothing.
    • Vertical resolution estimation showed inconsistencies among participating lidar teams.

    Conclusions:

    • Ozone DIAL algorithms perform well in the lower and middle stratosphere but face challenges in the upper stratosphere.
    • Increased vertical smoothing, necessary for low signal-to-noise ratios, compromises the detection of ozone perturbations.
    • Current lidar systems may have limitations in detecting long-term ozone trends above 40 km.
    • Standardization of vertical resolution estimation in lidar data processing is needed.