Articles | Volume 17, issue 6
https://doi.org/10.5194/amt-17-1665-2024
https://doi.org/10.5194/amt-17-1665-2024
Research article
 | 
21 Mar 2024
Research article |  | 21 Mar 2024

3D wind observations with a compact mobile lidar based on tropo- and stratospheric aerosol backscatter

Thorben H. Mense, Josef Höffner, Gerd Baumgarten, Ronald Eixmann, Jan Froh, Alsu Mauer, Alexander Munk, Robin Wing, and Franz-Josef Lübken

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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
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Cited articles

Baidar, S., Tucker, S., Beaubien, M., and Hardesty, R.: The optical autocovariance wind lidar. Part II: Green OAWL (GrOAWL) airborne performance and validation, J. Atmos. Ocean. Tech., 35, 2099–2116, 2018. a
Bailey, D. T.: Meteorological monitoring guidance for regulatory modeling applications, DIANE Publishing, U.S. Environmental Protection Agency, EPA-454/R-99-005, 2000. a
Banyard, T. P., Wright, C. J., Hindley, N. P., Halloran, G., Krisch, I., Kaifler, B., and Hoffmann, L.: Atmospheric gravity waves in Aeolus wind lidar observations, Geophys. Res. Lett., 48, e2021GL092756, https://doi.org/10.1029/2021GL092756, 2021.​​​​​​​ a
Baumgarten, G.: Doppler Rayleigh/Mie/Raman lidar for wind and temperature measurements in the middle atmosphere up to 80 km, Atmos. Meas. Tech., 3, 1509–1518, https://doi.org/10.5194/amt-3-1509-2010, 2010. a, b
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Short summary
A novel lidar system with five beams measured horizontal and vertical winds together, reaching altitudes up to 25 km. Developed in Germany, it revealed accurate horizontal wind data compared to forecasts, but vertical wind estimates differed. The lidar's capability to detect small-scale wind patterns was highlighted, advancing atmospheric research.