Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 20
Articles | Volume 24, issue 20
https://doi.org/10.5194/acp-24-11955-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-24-11955-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 20
Research article
 | 
28 Oct 2024
Research article |  | 28 Oct 2024

Estimating the snow density using collocated Parsivel and Micro-Rain Radar measurements: a preliminary study from ICE-POP 2017/2018

Wei-Yu Chang, Yung-Chuan Yang, Chen-Yu Hung, Kwonil Kim, Gyuwon Lee, and Ali Tokay

Viewed

Total article views: 738 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
579 116 43 738 23 27
  • HTML: 579
  • PDF: 116
  • XML: 43
  • Total: 738
  • BibTeX: 23
  • EndNote: 27
Views and downloads (calculated since 16 Jan 2024)
Cumulative views and downloads (calculated since 16 Jan 2024)

Viewed (geographical distribution)

Total article views: 738 (including HTML, PDF, and XML) Thereof 749 with geography defined and -11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Snow density is derived by collocated Micro-Rain Radar (MRR)  and Parsivel (ICE-POP 2017/2018). We apply the particle size distribution from Parsivel to a T-matrix backscattering simulation and compare with ZHH from MRR. Bulk density and bulk water fractions are derived from comparing simulated and calculated ZHH. Retrieved bulk density is validated by comparing snowfall rate measurements from Pluvio and the Precipitation Imaging Package. Snowfall rate consistency confirms the algorithm.

 
 
Read more
Special issue
Winter weather research in complex terrain during ICE-POP...
Altmetrics
Final-revised paper
Preprint