Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 3
Articles | Volume 19, issue 3
https://doi.org/10.5194/acp-19-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 3
Research article
 | 
08 Feb 2019
Research article |  | 08 Feb 2019

Turbulent enhancement of radar reflectivity factor for polydisperse cloud droplets

Keigo Matsuda and Ryo Onishi

Viewed

Total article views: 2,021 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,376 577 68 2,021 60 51
  • HTML: 1,376
  • PDF: 577
  • XML: 68
  • Total: 2,021
  • BibTeX: 60
  • EndNote: 51
Views and downloads (calculated since 13 Jun 2018)
Cumulative views and downloads (calculated since 13 Jun 2018)

Viewed (geographical distribution)

Total article views: 2,021 (including HTML, PDF, and XML) Thereof 1,903 with geography defined and 118 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Nov 2024
Download
Short summary
This paper presents a parameterization to predict the influence of microscale turbulent clustering of cloud droplets on the radar reflectivity factor, based on a direct numerical simulation (DNS) of turbulence. The proposed parameterization takes account of the turbulent clustering structure of droplets with arbitrary size distributions. This paper also discusses quantitative influences on realistic radar observations, applying the parameterization to high-resolution cloud-simulation data.
Read more
Altmetrics
Final-revised paper
Preprint