Articles | Volume 16, issue 12
https://doi.org/10.5194/acp-16-7545-2016
https://doi.org/10.5194/acp-16-7545-2016
Research article
 | 
21 Jun 2016
Research article |  | 21 Jun 2016

Degree of ice particle surface roughness inferred from polarimetric observations

Souichiro Hioki, Ping Yang, Bryan A. Baum, Steven Platnick, Kerry G. Meyer, Michael D. King, and Jerome Riedi

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 Souichiro Hioki on behalf of the Authors (15 Mar 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (31 Mar 2016) by Jui-Yuan Christine Chiu
RR by Anonymous Referee #1 (31 Mar 2016)
RR by Anonymous Referee #2 (06 Apr 2016)
ED: Reconsider after minor revisions (Editor review) (19 Apr 2016) by Jui-Yuan Christine Chiu
AR by Souichiro Hioki on behalf of the Authors (13 May 2016)  Author's response   Manuscript 
ED: Publish subject to technical corrections (01 Jun 2016) by Jui-Yuan Christine Chiu
AR by Souichiro Hioki on behalf of the Authors (06 Jun 2016)  Manuscript 
Download
Short summary
The degree of surface roughness of ice particles within thick, cold ice clouds is inferred from multi-directional, multi-spectral satellite polarimetric observations over oceans, assuming a column-aggregate particle habit. An improved roughness inference scheme is employed, which provides a more noise-resilient roughness estimate than the conventional approach. A global one-month data sample shows the use and the limit of a severely roughened ice habit to simulate the polarized reflectivity.
Altmetrics
Final-revised paper
Preprint