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-2019-1182
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-1182
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  28 Jan 2020

28 Jan 2020

Review status
A revised version of this preprint was accepted for the journal ACP and is expected to appear here in due course.

Modelling mixed-phase clouds with large-eddy model UCLALES-SALSA

Jaakko Ahola1, Hannele Korhonen1, Juha Tonttila2, Sami Romakkaniemi2, Harri Kokkola2, and Tomi Raatikainen1 Jaakko Ahola et al.
  • 1Finnish Meteorological Institute, Helsinki, Finland
  • 2Finnish Meteorological Institute, Kuopio, Finland

Abstract. The large-eddy model UCLALES-SALSA, with exceptionally detailed aerosol description for both aerosol number and chemical composition, has been extended for ice and mixed-phase clouds. Comparison to a previous mixed-phase cloud model intercomparison study confirmed the accuracy of newly implemented ice microphysics. Further simulation with a heterogeneous ice nucleation scheme, where also ice nucleating particles (INP) are a prognostic variable, captured the typical layered structure of Arctic mid-altitude mixed-phase cloud: a liquid layer near cloud top and ice within and below the liquid layer. In addition, the simulation showed realistic freezing rate of droplets within the vertical cloud structure. The represented detailed sectional ice microphysics with prognostic aerosols is crucially important in reproducing mixed-phase clouds.

Jaakko Ahola et al.

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Jaakko Ahola et al.

Jaakko Ahola et al.

Viewed

Total article views: 401 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
290 102 9 401 31 14 11
  • HTML: 290
  • PDF: 102
  • XML: 9
  • Total: 401
  • Supplement: 31
  • BibTeX: 14
  • EndNote: 11
Views and downloads (calculated since 28 Jan 2020)
Cumulative views and downloads (calculated since 28 Jan 2020)

Viewed (geographical distribution)

Total article views: 317 (including HTML, PDF, and XML) Thereof 312 with geography defined and 5 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 28 Sep 2020
Publications Copernicus
Download
Short summary
In this study, we present an improved cloud model that reproduces the behaviour of mixed-phase clouds containing liquid droplets and ice crystals in more detail than before. This model is a convenient computational tool that enables studying phenomena that cannot be fitted into a laboratory. These clouds have a significant role in climate but they are not yet properly understood. Here, we show the advantages of the new model in a case study focusing on Arctic mixed-phase clouds.
In this study, we present an improved cloud model that reproduces the behaviour of mixed-phase...
Citation
Altmetrics