Articles | Volume 11, issue 8
https://doi.org/10.5194/amt-11-4847-2018
https://doi.org/10.5194/amt-11-4847-2018
Research article
 | 
22 Aug 2018
Research article |  | 22 Aug 2018

Unraveling hydrometeor mixtures in polarimetric radar measurements

Nikola Besic, Josué Gehring, Christophe Praz, Jordi Figueras i Ventura, Jacopo Grazioli, Marco Gabella, Urs Germann, and Alexis Berne

Viewed

Total article views: 3,199 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,933 1,198 68 3,199 96 78
  • HTML: 1,933
  • PDF: 1,198
  • XML: 68
  • Total: 3,199
  • BibTeX: 96
  • EndNote: 78
Views and downloads (calculated since 06 Mar 2018)
Cumulative views and downloads (calculated since 06 Mar 2018)

Viewed (geographical distribution)

Total article views: 3,199 (including HTML, PDF, and XML) Thereof 3,044 with geography defined and 155 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Jun 2024
Download
Short summary
In this paper we propose an innovative approach for hydrometeor de-mixing, i.e., to identify and quantify the presence of mixtures of different hydrometeor types in a radar sampling volume. It is a bin-based approach, inspired by conventional decomposition methods and evaluated using C- and X-band radar measurements compared with synchronous ground observations. The paper also investigates the potential influence of incoherency in the backscattering from hydrometeor mixtures in a radar volume.