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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 May 2025
Research article |
| 27 May 2025
| 27 May 2025
Combining commercial microwave links and weather radar for classification of dry snow and rainfall
Erlend Øydvin
CORRESPONDING AUTHOR
Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
Renaud Gaban
Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
Norwegian Meteorological Institute, Oslo, Norway
Jafet Andersson
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Remco (C. Z.) van de Beek
Swedish Meteorological and Hydrological Institute (SMHI), Norrköping, Sweden
Mareile Astrid Wolff
Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
Norwegian Meteorological Institute, Oslo, Norway
Nils-Otto Kitterød
Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
Christian Chwala
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Campus Alpin, Garmisch-Partenkirchen, Germany
Vegard Nilsen
Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
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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.
We present a novel method for classifying rain and snow by combining data from commercial...
