Articles | Volume 19, issue 3
https://doi.org/10.5194/amt-19-1039-2026
https://doi.org/10.5194/amt-19-1039-2026
Research article
 | 
12 Feb 2026
Research article |  | 12 Feb 2026

Implementation of a multiresolution analysis method to characterize multi-scale wave structures in lidar data

Samuel Trémoulu, Fabrice Chane Ming, Alain Hauchecorne, Sergey Khaykin, Mathieu Ratynski, and Philippe Keckhut

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Cited articles

Achatz, U., Alexander, M. J., Becker, E., Chun, H.-Y., Dörnbrack, A., Holt, L., Plougonven, R., Polichtchouk, I., Sato, K., Sheshadri, A., Stephan, C. C., Van Niekerk, A., and Wright, C. J.: Atmospheric Gravity Waves: Processes and Parameterization, J. Atmos. Sci., 81, 237–262, https://doi.org/10.1175/JAS-D-23-0210.1, 2024. a
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Bègue, N., Mbatha, N., Bencherif, H., Loua, R. T., Sivakumar, V., and Leblanc, T.: Statistical analysis of the mesospheric inversion layers over two symmetrical tropical sites: Réunion (20.8°  S, 55.5° E) and Mauna Loa (19.5° N, 155.6° W), Ann. Geophys., 35, 1177–1194, https://doi.org/10.5194/angeo-35-1177-2017, 2017. a
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Short summary
We developed a new method to better detect and study small-scale gravity waves in the middle atmosphere using lidar data. This technique more clearly reveals wave patterns than older methods and gives more accurate energy estimates, especially high up near the stratopause. Our approach helps scientists understand how these waves behave and interact across different scales, improving knowledge of atmospheric dynamics.
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