Determination of the vertical distribution of in-cloud particle shape  using SLDR-mode 35&thinsp;GHz scanning cloud radar

Teisseire, Audrey; Seifert, Patric; Myagkov, Alexander; Bühl, Johannes; Radenz, Martin

doi:https://doi.org/10.5194/amt-17-999-2024

Articles | Volume 17, issue 3

https://doi.org/10.5194/amt-17-999-2024

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

Special issue:

Fusion of radar polarimetry and numerical atmospheric modelling...

https://doi.org/10.5194/amt-17-999-2024

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

Articles | Volume 17, issue 3

Research article

|

12 Feb 2024

Research article |

| 12 Feb 2024

Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar

Audrey Teisseire, Patric Seifert, Alexander Myagkov, Johannes Bühl, and Martin Radenz

Data sets

Custom collection of categorize, classification, drizzle, ice water content, and liquid water content data from Limassol between 19 Oct 2016 and 25 Mar 2018 R. E. Mamouri https://hdl.handle.net/21.12132/2.a056a828a6b94d1f

pyLARDA v3.2 (v3.2) J. Bühl et al. https://doi.org/10.5281/zenodo.4721311

Short summary

The vertical distribution of particle shape (VDPS) method, introduced in this study, aids in characterizing the density-weighted shape of cloud particles from scanning slanted linear depolarization ratio (SLDR)-mode cloud radar observations. The VDPS approach represents a new, versatile way to study microphysical processes by combining a spheroidal scattering model with real measurements of SLDR.