Articles | Volume 13, issue 12
Atmos. Meas. Tech., 13, 6645–6656, 2020
https://doi.org/10.5194/amt-13-6645-2020
Atmos. Meas. Tech., 13, 6645–6656, 2020
https://doi.org/10.5194/amt-13-6645-2020

Research article 09 Dec 2020

Research article | 09 Dec 2020

Detecting the melting layer with a micro rain radar using a neural network approach

Maren Brast and Piet Markmann

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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 Piet Markmann on behalf of the Authors (11 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Mar 2020) by Laura Bianco
RR by Anonymous Referee #1 (20 Apr 2020)
RR by Anonymous Referee #2 (21 Apr 2020)
ED: Reconsider after major revisions (19 May 2020) by Laura Bianco
AR by Piet Markmann on behalf of the Authors (30 Jun 2020)  Author's response    Manuscript
ED: Publish as is (18 Jul 2020) by Laura Bianco
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Short summary
An artificial neural network was trained to identify melting layers in micro rain radar data. It was successfully tested on simple and complex cases, which are difficult to identify using classical approaches, and also provided information on the melting layer width.