Articles | Volume 14, issue 11
Atmos. Meas. Tech., 14, 7243–7254, 2021
https://doi.org/10.5194/amt-14-7243-2021
Atmos. Meas. Tech., 14, 7243–7254, 2021
https://doi.org/10.5194/amt-14-7243-2021

Research article 17 Nov 2021

Research article | 17 Nov 2021

Triple-frequency radar retrieval of microphysical properties of snow

Kamil Mroz 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-2021-227', Anonymous Referee #1, 09 Sep 2021
    • AC1: 'Reply on RC1', Kamil Mroz, 23 Sep 2021
  • RC2: 'Comment on amt-2021-227', Anonymous Referee #2, 17 Sep 2021
    • AC2: 'Reply on RC2', Kamil Mroz, 23 Sep 2021
  • RC3: 'Comment on amt-2021-227', Anonymous Referee #3, 20 Sep 2021
    • AC3: 'Reply on RC3', Kamil Mroz, 23 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Kamil Mroz on behalf of the Authors (24 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (27 Sep 2021) by Gianfranco Vulpiani
RR by Anonymous Referee #1 (05 Oct 2021)
ED: Publish as is (06 Oct 2021) by Gianfranco Vulpiani
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Short summary
A method for estimating microphysical properties of ice clouds based on radar measurements is presented. The algorithm exploits the information provided by differences in the radar response at different frequency bands in relation to changes in the snow morphology. The inversion scheme is based on a statistical relation between the radar simulations and the properties of snow calculated from in-cloud sampling.