Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
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Articles | Volume 25, issue 7
Articles | Volume 25, issue 7
https://doi.org/10.5194/acp-25-4167-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-25-4167-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 7
Research article
 | 
11 Apr 2025
Research article |  | 11 Apr 2025

A new aggregation and riming discrimination algorithm based on polarimetric weather radars

Armin Blanke, Mathias Gergely, and Silke Trömel

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Cited articles

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Billault-Roux, A.-C., Georgakaki, P., Gehring, J., Jaffeux, L., Schwarzenboeck, A., Coutris, P., Nenes, A., and Berne, A.: Distinct secondary ice production processes observed in radar Doppler spectra: insights from a case study, Atmos. Chem. Phys., 23, 10207–10234, https://doi.org/10.5194/acp-23-10207-2023, 2023. a
Blanke, A., Heymsfield, A. J., Moser, M., and Trömel, S.: Evaluation of polarimetric ice microphysical retrievals with OLYMPEX campaign data, Atmos. Meas. Tech., 16, 2089–2106, https://doi.org/10.5194/amt-16-2089-2023, 2023. a, b
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The area-wide radar-based distinction between riming and aggregation is crucial for model microphysics and data assimilation. This study introduces a discrimination algorithm based on polarimetric radar networks only. Exploiting the unique opportunity to link fall velocities from Doppler spectra to polarimetric variables in an operational setting enables us to set up and evaluate a well-performing machine learning algorithm.
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Fusion of radar polarimetry and numerical atmospheric modelling...
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