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-2019-1167
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-1167
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  17 Feb 2020

17 Feb 2020

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

Precipitation enhancement in stratocumulus clouds through airbourne seeding: sensitivity analysis by UCLALES–SALSA

Juha Tonttila1, Ali Afzalifar3, Harri Kokkola1, Tomi Raatikainen2, Hannele Korhonen2, and Sami Romakkaniemi1 Juha Tonttila et al.
  • 1Finnish Meteorological Institute, P.O. Box 1627, 70211, Kuopio, Finland
  • 2Finnish Meteorological Institute, P.O. Box 503, 00101, Helsinki, Finland
  • 3Aalto University School of Science, Department of Applied Physics, Espoo, Finland

Abstract. Artificial enhancement of precipitation via hygroscopic cloud seeding is investigated with a numerical large-eddy simulation model coupled with a spectral aerosol-cloud microphysics module. We focus our investigation on marine stratocumulus clouds and evaluate our model results by comparing them with recently published results from field observations. Creating multiple realizations of a single cloud event with the model provides a robust method to detect and attribute the seeding effects, which reinforces the analysis based on experimental data. Owing to the detailed representation of aerosol-cloud interactions, our model successfully reproduces the microphysical signatures attributed to the seeding, that were also seen in the observations. Moreover, the model simulations show up to a 2–3 fold increase in the precipitation flux due to the seeding, depending on the seeding rate and injection strategy. However, our simulations suggest that a relatively high seeding particle emission rate is needed for a substantial increase in the precipitation yield, as compared with the estimated seeding concentrations from the field campaign. In practical applications, the seeding aerosol is often produced by flare burning. It is speculated, that the required amount of large seeding particles suggested by our results could pose a technical challenge to the flare-based approach.

Juha Tonttila et al.

Interactive discussion

Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Login for Authors/Editors] [Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Juha Tonttila et al.

Juha Tonttila et al.

Viewed

Total article views: 332 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
230 91 11 332 9 10
  • HTML: 230
  • PDF: 91
  • XML: 11
  • Total: 332
  • BibTeX: 9
  • EndNote: 10
Views and downloads (calculated since 17 Feb 2020)
Cumulative views and downloads (calculated since 17 Feb 2020)

Viewed (geographical distribution)

Total article views: 244 (including HTML, PDF, and XML) Thereof 241 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 26 Sep 2020
Publications Copernicus
Download
Short summary
The focus of this study is on rain enhancement by deliberate injection of small particles into clouds (“cloud seeding”). The particles, usually released from an aircraft, are expected to enhance cloud droplet growth, but it's practical feasibility somewhat uncertain. To improve upon this, we simulate the seeding effects with a numerical model. The model reproduces the main features seen in field observations, with a strong sensitivity to the total mass of the injected particle material.
The focus of this study is on rain enhancement by deliberate injection of small particles into...
Citation
Altmetrics