Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-16915-2018
https://doi.org/10.5194/acp-18-16915-2018
Research article
 | 
29 Nov 2018
Research article |  | 29 Nov 2018

Microphysical characteristics of frozen droplet aggregates from deep convective clouds

Junshik Um, Greg M. McFarquhar, Jeffrey L. Stith, Chang Hoon Jung, Seoung Soo Lee, Ji Yi Lee, Younghwan Shin, Yun Gon Lee, Yiseok Isaac Yang, Seong Soo Yum, Byung-Gon Kim, Joo Wan Cha, and A-Reum Ko

Download

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

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Junshik Um on behalf of the Authors (03 Sep 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Sep 2018) by Ottmar Möhler
RR by Anonymous Referee #1 (07 Sep 2018)
RR by Anonymous Referee #2 (30 Oct 2018)
ED: Publish as is (19 Nov 2018) by Ottmar Möhler
AR by Junshik Um on behalf of the Authors (20 Nov 2018)  Manuscript 
Download
Short summary
During the 2012 Deep Convective Clouds and Chemistry experiment upper anvils of two storms were sampled. The occurrence of well-defined pristine crystals was low in the anvils, while single frozen droplets and frozen droplet aggregates (FDAs) were the dominant habits. A new algorithm was developed to automatically identify the number, size, and relative position of element frozen droplets within FDAs. The morphological characteristics of FDAs were compared with those of black carbon aggregates.
Altmetrics
Final-revised paper
Preprint