Articles | Volume 14, issue 10
Atmos. Meas. Tech., 14, 6885–6904, 2021
https://doi.org/10.5194/amt-14-6885-2021
Atmos. Meas. Tech., 14, 6885–6904, 2021
https://doi.org/10.5194/amt-14-6885-2021

Research article 26 Oct 2021

Research article | 26 Oct 2021

Retrieving microphysical properties of concurrent pristine ice and snow using polarimetric radar observations

Nicholas J. Kedzuf et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-168', Anonymous Referee #1, 20 Jul 2021
    • AC1: 'Reply on RC1', Jui-Yuan Christine Chiu, 18 Sep 2021
  • RC2: 'Comment on amt-2021-168', Anonymous Referee #2, 10 Aug 2021
    • AC2: 'Reply on RC2', Jui-Yuan Christine Chiu, 18 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jui-Yuan Christine Chiu on behalf of the Authors (18 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (28 Sep 2021) by Stefan Kneifel
AR by Jui-Yuan Christine Chiu on behalf of the Authors (29 Sep 2021)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Jui-Yuan Christine Chiu on behalf of the Authors (22 Oct 2021)   Author's adjustment   Manuscript
EA: Adjustments approved (22 Oct 2021) by Stefan Kneifel
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Short summary
Ice clouds play a key role in our climate system due to their strong controls on precipitation and the radiation budget. However, it is difficult to characterize co-existing ice species using radar observations. We present a new method that separates the radar signals of pristine ice embedded in snow aggregates and retrieves their respective abundances and sizes for the first time. The ability to provide their quantitative microphysical properties will open up many research opportunities.