Articles | Volume 15, issue 24
https://doi.org/10.5194/amt-15-7315-2022
https://doi.org/10.5194/amt-15-7315-2022
Research article
 | 
20 Dec 2022
Research article |  | 20 Dec 2022

Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes

Mathias Gergely, Maximilian Schaper, Matthias Toussaint, and Michael Frech

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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-2022-190', Anonymous Referee #1, 01 Aug 2022
    • AC1: 'Reply on RC1', Mathias Gergely, 26 Oct 2022
  • RC2: 'Comment on amt-2022-190', Anonymous Referee #2, 08 Sep 2022
    • AC2: 'Reply on RC2', Mathias Gergely, 26 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Mathias Gergely on behalf of the Authors (26 Oct 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (14 Nov 2022) by Patric Seifert
AR by Mathias Gergely on behalf of the Authors (23 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 Nov 2022) by Patric Seifert
AR by Mathias Gergely on behalf of the Authors (29 Nov 2022)
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Short summary
This study presents the new vertically pointing birdbath scan of the German C-band radar network, which provides high-resolution profiles of precipitating clouds above all DWD weather radars since the spring of 2021. Our AI-based postprocessing method for filtering and analyzing the recorded radar data offers a unique quantitative view into a wide range of precipitation events from snowfall over stratiform rain to intense frontal showers and will be used to complement DWD's operational services.