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Related Experiment Video

Updated: Sep 25, 2025

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Sonic anemometer data processing for comparison to optical turbulence theory and simulation.

Joseph Coffaro, Martin Richardson, Robert Bernath

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |April 26, 2022
    PubMed
    Summary

    This study introduces a new method to analyze sonic anemometry data for optical turbulence. The Greenwood-Tarazano model best fits experimental data, improving turbulence parameter analysis.

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    Area of Science:

    • Atmospheric physics
    • Optical turbulence research
    • Signal processing in geosciences

    Background:

    • Sonic anemometry is crucial for measuring atmospheric properties.
    • Optical turbulence requires stationary statistical data for accurate modeling.
    • Existing methods for analyzing sonic anemometry data for optical turbulence can be improved.

    Purpose of the Study:

    • To develop and validate a novel approach for assessing the stationarity of sonic anemometry data.
    • To compare the performance of different spectral models in fitting optical turbulence data.
    • To evaluate the suitability of the Greenwood-Tarazano model for optical turbulence parameterization.

    Main Methods:

    • Processing sonic anemometry data to extract optical turbulence statistics.
    • Fitting Von Kármán, Greenwood-Tarazano, and one-minus-exponential spectral models to experimental data.
    • Utilizing information criteria to evaluate the goodness-of-fit for each spectral model.

    Main Results:

    • The Greenwood-Tarazano model demonstrated the best fit to the experimental optical turbulence data.
    • The study successfully examined the stationarity of sonic anemometry data.
    • Optical turbulence parameters derived from the Greenwood-Tarazano model were compared across different instrument heights.

    Conclusions:

    • The proposed method effectively analyzes sonic anemometry data for optical turbulence.
    • The Greenwood-Tarazano model is recommended for parameterizing optical turbulence from sonic anemometry.
    • Further research can explore the application of this method in various atmospheric conditions.