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A new technique for estimating the raindrop size distribution (DSD) from polarimetric radar data is proposed. Two statistical moments of the DSD are estimated from polarimetric variables, and the DSD is reconstructed using a double-moment normalisation. The technique takes advantage of the relative invariance of the double-moment normalised DSD. The method was tested using X-band radar data and networks of disdrometers in three different climatic regions. Radar-derived estimates of the DSD compare reasonably well to observations. In the three tested domains, in terms of DSD moments, rain rate, and characteristic drop diameter, the proposed method performs similarly to and often better than a state-of-the-art DSD-retrieval technique. The approach is flexible because no specific DSD model is prescribed. In addition, a method is proposed to treat noisy radar data to improve DSD-retrieval performance with radar measurements.
Olivier Schneider, Aurelio Bay, Tatsuya Nakada, Frédéric Blanc, Lesya Shchutska, Elena Graverini, Marie Theres Christin Bachmayer, Aravindhan Venkateswaran, Yunxuan Song, Luis Miguel Garcia Martin, Vitalii Lisovskyi, Federico Ronchetti, Anni Matilda Kauniskangas, Raphaël van Laak, Ettore Zaffaroni, Pierre Paul Louis Mayencourt, Brianna Leililani Thielen, Arnaud Merlin Gauthey, Gianluca Zunica, Abdul-Kerim Guseinov, Radoslav Marchevski, Roberto Ribatti, Dimitrios Kaminaris, Louis André Marie Jean Henry, Spencer Edward Collaviti, Julius Christian Daniel Schulte
Mario Paolone, Fabio Nobile, Pål Forr Austnes, Celia Garcia Pareja