Articles | Volume 16, issue 4
https://doi.org/10.5194/amt-16-911-2023
https://doi.org/10.5194/amt-16-911-2023
Research article
 | 
21 Feb 2023
Research article |  | 21 Feb 2023

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

Anne-Claire Billault-Roux, Gionata Ghiggi, Louis Jaffeux, Audrey Martini, Nicolas Viltard, and Alexis Berne

Related authors

Distinct secondary ice production processes observed in radar Doppler spectra: insights from a case study
Anne-Claire Billault-Roux, Paraskevi Georgakaki, Josué Gehring, Louis Jaffeux, Alfons Schwarzenboeck, Pierre Coutris, Athanasios Nenes, and Alexis Berne
Atmos. Chem. Phys., 23, 10207–10234, https://doi.org/10.5194/acp-23-10207-2023,https://doi.org/10.5194/acp-23-10207-2023, 2023
Short summary
ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO)
Alfonso Ferrone, Anne-Claire Billault-Roux, and Alexis Berne
Atmos. Meas. Tech., 15, 3569–3592, https://doi.org/10.5194/amt-15-3569-2022,https://doi.org/10.5194/amt-15-3569-2022, 2022
Short summary
Secondary ice production processes in wintertime alpine mixed-phase clouds
Paraskevi Georgakaki, Georgia Sotiropoulou, Étienne Vignon, Anne-Claire Billault-Roux, Alexis Berne, and Athanasios Nenes
Atmos. Chem. Phys., 22, 1965–1988, https://doi.org/10.5194/acp-22-1965-2022,https://doi.org/10.5194/acp-22-1965-2022, 2022
Short summary
Integrated water vapor and liquid water path retrieval using a single-channel radiometer
Anne-Claire Billault-Roux and Alexis Berne
Atmos. Meas. Tech., 14, 2749–2769, https://doi.org/10.5194/amt-14-2749-2021,https://doi.org/10.5194/amt-14-2749-2021, 2021
Short summary
Radar and ground-level measurements of precipitation collected by the École Polytechnique Fédérale de Lausanne during the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic winter games
Josué Gehring, Alfonso Ferrone, Anne-Claire Billault-Roux, Nikola Besic, Kwang Deuk Ahn, GyuWon Lee, and Alexis Berne
Earth Syst. Sci. Data, 13, 417–433, https://doi.org/10.5194/essd-13-417-2021,https://doi.org/10.5194/essd-13-417-2021, 2021
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Observation of horizontal temperature variations by a spatial heterodyne interferometer using single-sided interferograms
Konstantin Ntokas, Jörn Ungermann, Martin Kaufmann, Tom Neubert, and Martin Riese
Atmos. Meas. Tech., 16, 5681–5696, https://doi.org/10.5194/amt-16-5681-2023,https://doi.org/10.5194/amt-16-5681-2023, 2023
Short summary
Version 8 IMK–IAA MIPAS temperatures from 12–15 µm spectra: Middle and Upper Atmosphere modes
Maya García-Comas, Bernd Funke, Manuel López-Puertas, Norbert Glatthor, Udo Grabowski, Sylvia Kellmann, Michael Kiefer, Andrea Linden, Belén Martínez-Mondéjar, Gabriele P. Stiller, and Thomas von Clarmann
Atmos. Meas. Tech., 16, 5357–5386, https://doi.org/10.5194/amt-16-5357-2023,https://doi.org/10.5194/amt-16-5357-2023, 2023
Short summary
GNSS radio occultation excess-phase processing for climate applications including uncertainty estimation
Josef Innerkofler, Gottfried Kirchengast, Marc Schwärz, Christian Marquardt, and Yago Andres
Atmos. Meas. Tech., 16, 5217–5247, https://doi.org/10.5194/amt-16-5217-2023,https://doi.org/10.5194/amt-16-5217-2023, 2023
Short summary
Impact analysis of processing strategies for long-term GPS zenith tropospheric delay (ZTD)
Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, and Jingnan Liu
Atmos. Meas. Tech., 16, 5249–5259, https://doi.org/10.5194/amt-16-5249-2023,https://doi.org/10.5194/amt-16-5249-2023, 2023
Short summary
Irradiance and cloud optical properties from solar photovoltaic systems
James Barry, Stefanie Meilinger, Klaus Pfeilsticker, Anna Herman-Czezuch, Nicola Kimiaie, Christopher Schirrmeister, Rone Yousif, Tina Buchmann, Johannes Grabenstein, Hartwig Deneke, Jonas Witthuhn, Claudia Emde, Felix Gödde, Bernhard Mayer, Leonhard Scheck, Marion Schroedter-Homscheidt, Philipp Hofbauer, and Matthias Struck
Atmos. Meas. Tech., 16, 4975–5007, https://doi.org/10.5194/amt-16-4975-2023,https://doi.org/10.5194/amt-16-4975-2023, 2023
Short summary

Cited articles

Acquistapace, C., Kneifel, S., Löhnert, U., Kollias, P., Maahn, M., and Bauer-Pfundstein, M.: Optimizing observations of drizzle onset with millimeter-wavelength radars, Atmos. Meas. Tech., 10, 1783–1802, https://doi.org/10.5194/amt-10-1783-2017, 2017. a
Anderson, T. L., Covert, D. S., and Charlson, R. J.: Cloud droplet number studies with a counterflow virtual impactor, J. Geophys. Res., 99, 8249–8256, https://doi.org/10.1029/93JD03522, 1994. a
Balduzzi, D., Frean, M., Leary, L., Lewis, J., Wan-Duo Ma, K., and Mcwilliams, B.: Shattered Gradients, Proceedings of the 34th International Conference on Machine Learning, Sydney, Australia 6–11 August 2017, https://doi.org/10.48550/arXiv.1702.08591, 342–350, 2017. a
Barrett, A. I., Westbrook, C. D., Nicol, J. C., and Stein, T. H. M.: Rapid ice aggregation process revealed through triple-wavelength Doppler spectrum radar analysis, Atmos. Chem. Phys., 19, 5753–5769, https://doi.org/10.5194/acp-19-5753-2019, 2019. a, b, c
Battaglia, A., Tanelli, S., Tridon, F., Kneifel, S., Leinonen, J., and Kollias, P.: Triple-Frequency Radar Retrievals, Springer International Publishing, Cham, 211–229, https://doi.org/10.1007/978-3-030-24568-9_13, 2020. a
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Better understanding and modeling snowfall properties and processes is relevant to many fields, ranging from weather forecasting to aircraft safety. Meteorological radars can be used to gain insights into the microphysics of snowfall. In this work, we propose a new method to retrieve snowfall properties from measurements of radars with different frequencies. It relies on an original deep-learning framework, which incorporates knowledge of the underlying physics, i.e., electromagnetic scattering.