Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6853-2020
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, Julien Delanoë, Martial Haeffelin, Jean-Charles Dupont, Susana Jorquera, and Christophe Le Gac

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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 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
AR by Felipe Toledo on behalf of the Authors (16 Oct 2020)  Manuscript 
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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.