EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Classification of snow and rainfall using commercial microwave links

Erlend Øydvin1, Rasmus Falkeid Hagland1, Vegard Nilsen1, Mareile Astrid Wolff1,2, and Nils-Otto Kitterød
Erlend Øydvin et al.
  • 1NMBU, Realtek, Norway (
  • 2Norwegian Meteorological Institute, Norway

The use of Commercial microwave links (CMLs) to estimate rainfall has been under investigation for the past 15 years. CMLs still seem like a promising supplement to standard measurement methods. So far, CMLs have almost exclusively been applied for rainfall only situations. It is expected that different precipitation types affect the CML signal strength and error sources differently. For CML applications in high latitude countries with frequent and extended periods with snowfall and mixed precipitation, an extension of the classification methods for these precipitation types is needed. 

In this presentation we study how the CML signal attenuation is affected by different precipitation types and how those can be used to classify the different events. We use nearby disdrometers as a ground truth reference and CML data from different climatological conditions in Norway.

How to cite: Øydvin, E., Hagland, R. F., Nilsen, V., Wolff, M. A., and Kitterød, N.-O.: Classification of snow and rainfall using commercial microwave links, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-12061,, 2023.

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