Articles | Volume 13, issue 12
Atmos. Meas. Tech., 13, 6853–6875, 2020
https://doi.org/10.5194/amt-13-6853-2020
Atmos. Meas. Tech., 13, 6853–6875, 2020
https://doi.org/10.5194/amt-13-6853-2020

Research article 16 Dec 2020

Research article | 16 Dec 2020

Absolute calibration method for frequency-modulated continuous wave (FMCW) cloud radars based on corner reflectors

Felipe Toledo et al.

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Interactive discussion

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 Felipe Toledo on behalf of the Authors (30 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Jun 2020) by Stefan Kneifel
RR by Anonymous Referee #1 (25 Jun 2020)
RR by Alexander Myagkov (30 Jun 2020)
ED: Reconsider after major revisions (01 Jul 2020) by Stefan Kneifel
AR by Felipe Toledo on behalf of the Authors (12 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 Aug 2020) by Stefan Kneifel
RR by Alexander Myagkov (23 Aug 2020)
ED: Reconsider after major revisions (24 Aug 2020) by Stefan Kneifel
AR by Felipe Toledo on behalf of the Authors (28 Sep 2020)  Author's response    Manuscript
ED: Publish as is (10 Oct 2020) by Stefan Kneifel
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Short summary
Cloud observations are essential to rainfall, fog and climate change forecasts. One key instrument for these observations is cloud radar. Yet, discrepancies are found when comparing radars from different ground stations or satellites. Our work presents a calibration methodology for cloud radars based on reference targets, including an analysis of the uncertainty sources. The method enables the calibration of reference instruments to improve the quality and value of the cloud radar network data.