Articles | Volume 16, issue 21
https://doi.org/10.5194/amt-16-5103-2023
https://doi.org/10.5194/amt-16-5103-2023
Research article
 | 
03 Nov 2023
Research article |  | 03 Nov 2023

Observing atmospheric convection with dual-scanning lidars

Christiane Duscha, Juraj Pálenik, Thomas Spengler, and Joachim Reuder

Related authors

The COTUR project: remote sensing of offshore turbulence for wind energy application
Etienne Cheynet, Martin Flügge, Joachim Reuder, Jasna B. Jakobsen, Yngve Heggelund, Benny Svardal, Pablo Saavedra Garfias, Charlotte Obhrai, Nicolò Daniotti, Jarle Berge, Christiane Duscha, Norman Wildmann, Ingrid H. Onarheim, and Marte Godvik
Atmos. Meas. Tech., 14, 6137–6157, https://doi.org/10.5194/amt-14-6137-2021,https://doi.org/10.5194/amt-14-6137-2021, 2021
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
A new dual-frequency stratospheric–tropospheric and meteor radar: system description and first results
Qingchen Xu, Iain Murray Reid, Bing Cai, Christian Adami, Zengmao Zhang, Mingliang Zhao, and Wen Li
Atmos. Meas. Tech., 17, 2957–2975, https://doi.org/10.5194/amt-17-2957-2024,https://doi.org/10.5194/amt-17-2957-2024, 2024
Short summary
The Doppler wind, temperature, and aerosol RMR lidar system at Kühlungsborn, Germany – Part 1: Technical specifications and capabilities
Michael Gerding, Robin Wing, Eframir Franco-Diaz, Gerd Baumgarten, Jens Fiedler, Torsten Köpnick, and Reik Ostermann
Atmos. Meas. Tech., 17, 2789–2809, https://doi.org/10.5194/amt-17-2789-2024,https://doi.org/10.5194/amt-17-2789-2024, 2024
Short summary
Evaluation of the effects of different lightning protection rods on the data quality of C-Band weather radars
Cornelius Hald, Maximilian Schaper, Annette Böhm, Michael Frech, Jan Petersen, Bertram Lange, and Benjamin Rohrdantz
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-45,https://doi.org/10.5194/amt-2024-45, 2024
Revised manuscript accepted for AMT
Short summary
Directly measuring the power-law exponent and kinetic energy of atmospheric turbulence using coherent Doppler wind lidar
Jinhong Xian, Chao Lu, Xiaoling Lin, Honglong Yang, Ning Zhang, and Li Zhang
Atmos. Meas. Tech., 17, 1837–1850, https://doi.org/10.5194/amt-17-1837-2024,https://doi.org/10.5194/amt-17-1837-2024, 2024
Short summary
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
Atmos. Meas. Tech., 17, 1665–1677, https://doi.org/10.5194/amt-17-1665-2024,https://doi.org/10.5194/amt-17-1665-2024, 2024
Short summary

Cited articles

Adler, B., Kalthoff, N., and Kiseleva, O.: Detection of structures in the horizontal wind field over complex terrain using coplanar Doppler lidar scans, Meteorol. Z., 29, 467–481, https://doi.org/10.1127/metz/2020/1031, 2020. a, b
Adler, B., Gohm, A., Kalthoff, N., Babić, N., Corsmeier, U., Lehner, M., Rotach, M. W., Haid, M., Markmann, P., Gast, E., Tsaknakis, G., and Georgoussis, G.: CROSSINN: A Field Experiment to Study the Three-Dimensional Flow Structure in the Inn Valley, Austria, B. Am. Meteorol. Soc., 102, E38–E60, https://doi.org/10.1175/BAMS-D-19-0283.1, 2021. a
Alcayaga, L.: Filtering of pulsed lidar data using spatial information and a clustering algorithm, Atmos. Meas. Tech., 13, 6237–6254, https://doi.org/10.5194/amt-13-6237-2020, 2020. a, b
Arya, S. P.: Introduction to Micrometeorology, 2nd edn., Elsevier, San Diego, CA, ISBN 0120593548, 2001. a
Bonin, T. A. and Brewer, A. W.: Detection of Range-Folded Returns in Doppler Lidar Observations, IEEE Geosci. Remote S., 14, 514–518, https://doi.org/10.1109/LGRS.2017.2652360, 2017. a, b, c
Download
Short summary
We combine observations from two scanning Doppler lidars to obtain new and unique insights into the dynamic processes inherent to atmospheric convection. The approach complements and enhances conventional methods to probe convection and has the potential to substantially deepen our understanding of this complex process, which is crucial to improving our weather and climate models.