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

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
Preprints
https://doi.org/10.5194/acp-2020-786
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2020-786
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 Oct 2020

02 Oct 2020

Review status
This preprint is currently under review for the journal ACP.

Ice multiplication from ice-ice collisions in the high Arctic: sensitivity to ice habit, rimed fraction and the spectral representation of the colliding particles

Georgia Sotiropoulou1,2, Luisa Ickes3, Athanasios Nenes2,4, and Annica M. L. Ekman1 Georgia Sotiropoulou et al.
  • 1Department of Meteorology, Stockholm University & Bolin Center for Climate Research, Stockholm, Sweden
  • 2Laboratory of Atmospheric Processes and their Impacts, School of Architecture, Civil & Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
  • 3Department of Space, Earth and Environment, Chalmers University of Technology, Gothenburg, Sweden
  • 4Institue for Chemical Engineering Sciences, Foundation for Research and Technology Hellas, Patras, Greece

Abstract. Atmospheric models often fail to correctly reproduce the microphysical structure of Arctic mixed-phase clouds and underpredict ice water content, even when simulations are constrained by the observed levels of ice nucleating particles. In this study we investigate whether ice multiplication from ice-ice collisions, a process missing in most models, can account for the observed cloud ice in a stratocumulus cloud observed during the Arctic Summer Cloud Study campaign. Our results indicate that including ice-ice collisions can improve the modeled cloud water properties, but the degree of influence depends on other poorly constrained microphysical aspects that include ice habit, rimed fraction and cloud ice-to-snow autoconversion rate. Simulations with dendrites are less sensitive to variations in the assumed rimed fraction of the particle that undergoes break-up, compared to those with planar ice. Activating cloud ice-to-snow autoconversion decreases the sensitivity of the break-up process to both the assumed ice habit and rimed fraction. Finally, adapting a relatively small value for the threshold diameter at which cloud ice is converted to snow enhances break-up efficiency and improves the macrophysical representation of the cloud.

Georgia Sotiropoulou et al.

Interactive discussion

Status: open (until 27 Nov 2020)
Status: open (until 27 Nov 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Georgia Sotiropoulou et al.

Georgia Sotiropoulou et al.

Viewed

Total article views: 54 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
30 24 0 54 4 1 1
  • HTML: 30
  • PDF: 24
  • XML: 0
  • Total: 54
  • Supplement: 4
  • BibTeX: 1
  • EndNote: 1
Views and downloads (calculated since 02 Oct 2020)
Cumulative views and downloads (calculated since 02 Oct 2020)

Viewed (geographical distribution)

Total article views: 131 (including HTML, PDF, and XML) Thereof 131 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 19 Oct 2020
Publications Copernicus
Download
Short summary
Mixed-phase clouds are a large source of uncertainty in projections of the Arctic climate. This is partly due to the poor representation of the cloud-ice formation processes. Implementing a parameterization for ice multiplication due to mechanical break-up upon collision of two ice particles in a high resolution model improves cloud-ice phase representation. However, the results are sensitive to poorly constrained microphysical parameters (e.g. ice habit, rimed fraction, autoconversion rate).
Mixed-phase clouds are a large source of uncertainty in projections of the Arctic climate. This...
Citation
Altmetrics