Articles | Volume 16, issue 12
Atmos. Chem. Phys., 16, 7545–7558, 2016
https://doi.org/10.5194/acp-16-7545-2016
Atmos. Chem. Phys., 16, 7545–7558, 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 et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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
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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.
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