Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 10
Articles | Volume 18, issue 10
https://doi.org/10.5194/amt-18-2279-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-2279-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 10
Research article
 | 
27 May 2025
Research article |  | 27 May 2025

Combining commercial microwave links and weather radar for classification of dry snow and rainfall

Erlend Øydvin, Renaud Gaban, Jafet Andersson, Remco (C. Z.) van de Beek, Mareile Astrid Wolff, Nils-Otto Kitterød, Christian Chwala, and Vegard Nilsen

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Erlend Øydvin on behalf of the Authors (07 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Feb 2025) by Gianfranco Vulpiani
RR by Anonymous Referee #2 (01 Mar 2025)
ED: Publish subject to minor revisions (review by editor) (03 Mar 2025) by Gianfranco Vulpiani
AR by Erlend Øydvin on behalf of the Authors (06 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (06 Mar 2025) by Gianfranco Vulpiani
AR by Erlend Øydvin on behalf of the Authors (11 Mar 2025)
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Short summary
We present a novel method for classifying rain and snow by combining data from commercial microwave links (CMLs) with weather radar. We compare this to a reference method using dew point temperature for precipitation type classification. Evaluations with nearby disdrometers show that CMLs improve the classification of dry snow and rainfall, outperforming the reference method.
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