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

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

doi:https://doi.org/10.5194/amt-17-1665-2024

Articles | Volume 17, issue 6

https://doi.org/10.5194/amt-17-1665-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-17-1665-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 6

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

Data sets

MenseAMT2023 Thorben Mense et al. https://doi.org/10.22000/1720

European Centre for Medium-Range Weather Forecasts (ECMWF) Atmospheric Model high resolution data ECMWF https://www.ecmwf.int/en/forecasts/datasets

Aeolus L2B scientific wind products: Product Type ALD_U_N_2B ESA (European Space Agency) https://aeolus-ds.eo.esa.int/oads/access/collection/L2B_Wind_Products/tree

Planet dump OpenStreetMap contributors https://planet.osm.org

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.