Articles | Volume 19, issue 21
https://doi.org/10.5194/amt-19-7039-2026
https://doi.org/10.5194/amt-19-7039-2026
Research article
 | 
05 Nov 2026
Research article |  | 05 Nov 2026

Comparison of tomographic wind retrievals with different geometric implementations for multistatic meteor radar networks

Loretta Pearl Poku, Gunter Stober, Witali Krochin, Alan Liu, Alexander Kozlovsky, Diego Janches, Jie Zeng, Wen Yi, Hanli Liu, Zishun Qiao, Kaoru Sato, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Johan Kero, and Nicholas Mitchell

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This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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Short summary

Cited articles

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Ban, C., Fang, X., Yi, W., Zeng, J., Stober, G., Pan, W., Li, T., and Xue, X.: A comparative study of mesospheric zonal wind observations from Na lidar and multistatic meteor radars above Hefei, China, Atmos. Meas. Tech., 19, 1697–1709, https://doi.org/10.5194/amt-19-1697-2026, 2026. a, b, c
Baumgarten, K., Gerding, M., Baumgarten, G., and Lübken, F.-J.: Temporal variability of tidal and gravity waves during a record long 10 day continuous lidar sounding, Atmos. Chem. Phys., 18, 371–384, https://doi.org/10.5194/acp-18-371-2018, 2018. a
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Short summary
Reliable vertical wind retrieval is essential for understanding atmospheric coupling and
dynamics. We present a novel Volume Velocity Processing method in spherical coordinates for
the mesosphere and lower thermosphere, improve physical consistency, and compare results with
current state-of-the-art models (VVP, 3DVAR+DIV, JAWARA, and SE-WACCM-X). Results
show reduced altitude-dependent biases from incomplete representation of the observation
geometry in mean horizontal and vertical winds.
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