Articles | Volume 15, issue 24
Research article
20 Dec 2022
Research article |  | 20 Dec 2022

Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes

Mathias Gergely, Maximilian Schaper, Matthias Toussaint, and Michael Frech

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Cited articles

Al-Sakka, H., Boumahmoud, A.-A., Fradon, B., Frasier, S. J., and Tabary, P.: A new fuzzy logic hydrometeor classification scheme applied to the French X-, C-, and S-band polarimetric radars, J. Appl. Meteorol. Clim., 52, 2328–2344,, 2013. a
Bechini, R. and Chandrasekar, V.: A semisupervised robust hydrometeor classification method for dual-polarization radar applications, J. Atmos. Ocean. Tech., 32, 22–47,, 2014. a
Besic, N., Figueras i Ventura, J., Grazioli, J., Gabella, M., Germann, U., and Berne, A.: Hydrometeor classification through statistical clustering of polarimetric radar measurements: a semi-supervised approach, Atmos. Meas. Tech., 9, 4425–4445,, 2016. a, b
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Bukovcic, P., Ryzhkov, A., Zrnic, D., and Zhang, G.: Polarimetric radar relations for quantification of snow based on disdrometer data, J. Appl. Meteorol. Clim., 57, 103–120,, 2018. a
Short summary
This study presents the new vertically pointing birdbath scan of the German C-band radar network, which provides high-resolution profiles of precipitating clouds above all DWD weather radars since the spring of 2021. Our AI-based postprocessing method for filtering and analyzing the recorded radar data offers a unique quantitative view into a wide range of precipitation events from snowfall over stratiform rain to intense frontal showers and will be used to complement DWD's operational services.