Articles | Volume 15, issue 5
Atmos. Meas. Tech., 15, 1333–1354, 2022
https://doi.org/10.5194/amt-15-1333-2022

Special issue: Fusion of radar polarimetry and numerical atmospheric modelling...

Atmos. Meas. Tech., 15, 1333–1354, 2022
https://doi.org/10.5194/amt-15-1333-2022

Research article 14 Mar 2022

Research article | 14 Mar 2022

Analytic characterization of random errors in spectral dual-polarized cloud radar observations

Alexander Myagkov and Davide Ori

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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-2021-225', Anonymous Referee #1, 07 Oct 2021
    • AC1: 'Reply on RC1', Alexander Myagkov, 26 Nov 2021
  • RC2: 'Comment on amt-2021-225', Dmitri Moisseev, 11 Oct 2021
    • AC2: 'Reply on RC2', Alexander Myagkov, 26 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alexander Myagkov on behalf of the Authors (26 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Reconsider after major revisions (11 Dec 2021) by Ulrich Löhnert
AR by Alexander Myagkov on behalf of the Authors (08 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (14 Jan 2022) by Ulrich Löhnert
RR by Dmitri Moisseev (27 Jan 2022)
ED: Publish as is (28 Jan 2022) by Ulrich Löhnert
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Short summary
This study provides equations to characterize random errors of spectral polarimetric observations from cloud radars. The results can be used for a broad spectrum of applications. For instance, accurate error characterization is essential for advanced retrievals of microphysical properties of clouds and precipitation. Moreover, error characterization allows for the use of measurements from polarimetric cloud radars to potentially improve weather forecasts.