Articles | Volume 18, issue 10
https://doi.org/10.5194/amt-18-2279-2025
https://doi.org/10.5194/amt-18-2279-2025
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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Cited articles

Berne, A. and Krajewski, W.: Radar for hydrology: Unfulfilled promise or unrecognized potential?, Adv. Water Resour., 51, 357–366, https://doi.org/10.1016/j.advwatres.2012.05.005, 2013. a
Blettner, N., Fencl, M., Bareš, V., Kunstmann, H., and Chwala, C.: Transboundary Rainfall Estimation Using Commercial Microwave Links, Earth and Space Science, 10, e2023EA002869, https://doi.org/10.1029/2023EA002869, 2023. a, b
Bloemink, H.: Precipitation type from the Thies disdrometer, in: WMO Tech. Conf. on Meteorological and Environmental Instruments and Methods of Observation (TECO-2005), Bucharest, Romania, 4–7 May 2005, World Meteorological Organization, Report No. 82, WMO/TD-No. 1265, 1–7, https://library.wmo.int/viewer/41919/download?file=wmo-td_1265.pdf&type=pdf&navigator=1 (last access: 23 January 2025), 2005. a
Casellas, E., Bech, J., Veciana, R., Pineda, N., Miró, J. R., Moré, J., Rigo, T., and Sairouni, A.: Nowcasting the precipitation phase combining weather radar data, surface observations, and NWP model forecasts, Q. J. Roy. Meteor. Soc., 147, 3135–3153, https://doi.org/10.1002/qj.4121, 2021. a, b
Chandrasekar, V., Keränen, R., Lim, S., and Moisseev, D.: Recent advances in classification of observations from dual polarization weather radars, Atmos. Res., 119, 97–111, https://doi.org/10.1016/j.atmosres.2011.08.014, 2013. a
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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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