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

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

doi:https://doi.org/10.5194/amt-18-2279-2025

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

Data sets

pycomlink/pycomlink: v0.3.2 Christian Chwala et al. https://doi.org/10.5281/zenodo.4810169

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.