Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 10
Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5471-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-5471-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 10
Research article
 | 
05 Oct 2018
Research article |  | 05 Oct 2018

Retrieval of snowflake microphysical properties from multifrequency radar observations

Jussi Leinonen, Matthew D. Lebsock, Simone Tanelli, Ousmane O. Sy, Brenda Dolan, Randy J. Chase, Joseph A. Finlon, Annakaisa von Lerber, and Dmitri Moisseev

Viewed

Total article views: 4,609 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,147 1,309 153 4,609 516 196 214
  • HTML: 3,147
  • PDF: 1,309
  • XML: 153
  • Total: 4,609
  • Supplement: 516
  • BibTeX: 196
  • EndNote: 214
Views and downloads (calculated since 27 Mar 2018)
Cumulative views and downloads (calculated since 27 Mar 2018)

Viewed (geographical distribution)

Total article views: 4,609 (including HTML, PDF, and XML) Thereof 4,508 with geography defined and 101 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
We developed a technique for inferring the physical properties (amount, size and density) of falling snow from radar observations made using multiple different frequencies. We tested this method using measurements from airborne radar and compared the results to direct measurements from another aircraft, as well as ground-based radar. The results demonstrate that multifrequency radars have significant advantages over those with a single frequency in determining the snow size and density.
Read more
Share