Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.668 IF 5.668
  • IF 5-year value: 6.201 IF 5-year
    6.201
  • CiteScore value: 6.13 CiteScore
    6.13
  • SNIP value: 1.633 SNIP 1.633
  • IPP value: 5.91 IPP 5.91
  • SJR value: 2.938 SJR 2.938
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 174 Scimago H
    index 174
  • h5-index value: 87 h5-index 87
ACP | Articles | Volume 19, issue 3
Atmos. Chem. Phys., 19, 1785–1799, 2019
https://doi.org/10.5194/acp-19-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 19, 1785–1799, 2019
https://doi.org/10.5194/acp-19-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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: 717 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
524 171 22 717 21 15
  • HTML: 524
  • PDF: 171
  • XML: 22
  • Total: 717
  • BibTeX: 21
  • EndNote: 15
Views and downloads (calculated since 13 Jun 2018)
Cumulative views and downloads (calculated since 13 Jun 2018)
Viewed (geographical distribution)  
Total article views: 599 (including HTML, PDF, and XML) Thereof 589 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 21 Aug 2019
Publications Copernicus
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.
This paper presents a parameterization to predict the influence of microscale turbulent...
Citation