Articles | Volume 20, issue 23
Atmos. Chem. Phys., 20, 14491–14507, 2020
https://doi.org/10.5194/acp-20-14491-2020

Special issue: Winter weather research in complex terrain during ICE-POP...

Atmos. Chem. Phys., 20, 14491–14507, 2020
https://doi.org/10.5194/acp-20-14491-2020

Research article 30 Nov 2020

Research article | 30 Nov 2020

Microphysical properties of three types of snow clouds: implication for satellite snowfall retrievals

Hwayoung Jeoung et al.

Viewed

Total article views: 983 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
669 298 16 983 15 14
  • HTML: 669
  • PDF: 298
  • XML: 16
  • Total: 983
  • BibTeX: 15
  • EndNote: 14
Views and downloads (calculated since 30 Jul 2020)
Cumulative views and downloads (calculated since 30 Jul 2020)

Viewed (geographical distribution)

Total article views: 1,008 (including HTML, PDF, and XML) Thereof 998 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Sep 2021
Download
Short summary
Radar and radiometer observations were used to study cloud liquid and snowfall in three types of snow clouds. While near-surface and shallow clouds have an area fraction of 90 %, deep clouds contribute half of the total snowfall volume. Deeper clouds have heavier snowfall, although cloud liquid is equally abundant in all three cloud types. The skills of a GMI Bayesian algorithm are examined. Snowfall in deep clouds may be reasonably retrieved, but it is challenging for near-surface clouds.
Altmetrics
Final-revised paper
Preprint