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Related Experiment Video

Updated: Jan 19, 2026

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Optimized retrieval method for atmospheric temperature profiling based on rotational Raman lidar.

Qing Yan, Yufeng Wang, Tianle Gao

    Applied Optics
    |September 11, 2019
    PubMed
    Summary

    An optimized rotational Raman lidar method improves atmospheric temperature profiling by independently solving for high and low quantum number signals. This enhances retrieval height to 25 km in clear weather and 16 km in cloudy conditions.

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    Area of Science:

    • Atmospheric Science
    • Remote Sensing
    • Spectroscopy

    Background:

    • Traditional rotational Raman lidar methods face limitations in retrieval height due to signal-to-noise ratio (SNR) differences between high- and low-quantum-number pure rotational Raman scattering signals (PRRSs).
    • These SNR disparities restrict the effective range for accurate atmospheric temperature profiling.

    Purpose of the Study:

    • To propose and validate an optimized retrieval method for atmospheric temperature profiling using rotational Raman lidar.
    • To overcome the height limitations imposed by traditional methods by addressing SNR differences in PRRS signals.

    Main Methods:

    • Developed an optimized retrieval method allowing independent alternating solutions for high- and low-quantum-number PRRSs.
    • Utilized high-quantum-number PRRS lidar returns to determine the channel constant.
    • Employed high-SNR low-quantum-number PRRS returns for retrieving temperature profiles.
    • Simulated system sensitivity, SNR, and statistical errors for comparison with traditional methods.
    • Validated the method using lidar data from a multifunctional Raman-Mie lidar system and compared results with radiosonde data.

    Main Results:

    • The optimized method demonstrated higher SNR, stable sensitivity, and reduced statistical errors compared to traditional approaches.
    • Effective temperature retrieval height was significantly improved: from 17 km to 25 km under clear weather conditions.
    • High correlation (>0.99) and stable relative deviations (<5 K) were achieved up to 25 km.
    • Retrieval height extended from 8 km to 16 km in cloudy weather, successfully capturing inversion layers.

    Conclusions:

    • The proposed optimized retrieval method offers a new, reliable approach for atmospheric temperature profiling over extended height ranges, reaching the lower stratosphere.
    • The method simplifies spectroscopic systems for future temperature detection by allowing pre-determination of the channel constant.
    • This advancement is crucial for more comprehensive atmospheric monitoring and climate studies.