Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes (ACP/AMT/GMD inter-journal SI)(ACP/AMT/GMD inter-journal SI)
Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes (ACP/AMT/GMD inter-journal SI)(ACP/AMT/GMD inter-journal SI)
Editor(s): ACP co-editors | Coordinators: Franziska Glassmeier and Timothy Garrett | Co-organizers: Silke Trömel and Johannes Quaas Special issue jointly organized between Atmospheric Chemistry and Physics, Atmospheric Measurement Techniques, and Geoscientific Model Development More information

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05 Jul 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
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-190,https://doi.org/10.5194/amt-2022-190, 2022
Preprint under review for AMT (discussion: final response, 2 comments)
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28 Apr 2022
Aerosol characteristics and polarimetric signatures for a deep convective storm over north-western part of Europe – modeling and observations
Prabhakar Shrestha, Jana Mendrok, and Dominik Brunner
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-242,https://doi.org/10.5194/acp-2022-242, 2022
Revised manuscript under review for ACP (discussion: final response, 4 comments)
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13 Sep 2022
Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations
Leonie von Terzi, José Dias Neto, Davide Ori, Alexander Myagkov, and Stefan Kneifel
Atmos. Chem. Phys., 22, 11795–11821, https://doi.org/10.5194/acp-22-11795-2022,https://doi.org/10.5194/acp-22-11795-2022, 2022
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05 Jul 2022
Retrievals of ice microphysical properties using dual-wavelength polarimetric radar observations during stratiform precipitation events
Eleni Tetoni, Florian Ewald, Martin Hagen, Gregor Köcher, Tobias Zinner, and Silke Groß
Atmos. Meas. Tech., 15, 3969–3999, https://doi.org/10.5194/amt-15-3969-2022,https://doi.org/10.5194/amt-15-3969-2022, 2022
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01 Mar 2022
Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples
Gregor Köcher, Tobias Zinner, Christoph Knote, Eleni Tetoni, Florian Ewald, and Martin Hagen
Atmos. Meas. Tech., 15, 1033–1054, https://doi.org/10.5194/amt-15-1033-2022,https://doi.org/10.5194/amt-15-1033-2022, 2022
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17 Jan 2022
Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators
Prabhakar Shrestha, Jana Mendrok, Velibor Pejcic, Silke Trömel, Ulrich Blahak, and Jacob T. Carlin
Geosci. Model Dev., 15, 291–313, https://doi.org/10.5194/gmd-15-291-2022,https://doi.org/10.5194/gmd-15-291-2022, 2022
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14 Mar 2022
Analytic characterization of random errors in spectral dual-polarized cloud radar observations
Alexander Myagkov and Davide Ori
Atmos. Meas. Tech., 15, 1333–1354, https://doi.org/10.5194/amt-15-1333-2022,https://doi.org/10.5194/amt-15-1333-2022, 2022
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25 Nov 2021
Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations
Markus Karrer, Axel Seifert, Davide Ori, and Stefan Kneifel
Atmos. Chem. Phys., 21, 17133–17166, https://doi.org/10.5194/acp-21-17133-2021,https://doi.org/10.5194/acp-21-17133-2021, 2021
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13 Jun 2022
Evaluation of modelled summertime convective storms using polarimetric radar observations
Prabhakar Shrestha, Silke Trömel, Raquel Evaristo, and Clemens Simmer
Atmos. Chem. Phys., 22, 7593–7618, https://doi.org/10.5194/acp-22-7593-2022,https://doi.org/10.5194/acp-22-7593-2022, 2022
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01 Dec 2021
Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes
Silke Trömel, Clemens Simmer, Ulrich Blahak, Armin Blanke, Sabine Doktorowski, Florian Ewald, Michael Frech, Mathias Gergely, Martin Hagen, Tijana Janjic, Heike Kalesse-Los, Stefan Kneifel, Christoph Knote, Jana Mendrok, Manuel Moser, Gregor Köcher, Kai Mühlbauer, Alexander Myagkov, Velibor Pejcic, Patric Seifert, Prabhakar Shrestha, Audrey Teisseire, Leonie von Terzi, Eleni Tetoni, Teresa Vogl, Christiane Voigt, Yuefei Zeng, Tobias Zinner, and Johannes Quaas
Atmos. Chem. Phys., 21, 17291–17314, https://doi.org/10.5194/acp-21-17291-2021,https://doi.org/10.5194/acp-21-17291-2021, 2021
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24 Jan 2022
Using artificial neural networks to predict riming from Doppler cloud radar observations
Teresa Vogl, Maximilian Maahn, Stefan Kneifel, Willi Schimmel, Dmitri Moisseev, and Heike Kalesse-Los
Atmos. Meas. Tech., 15, 365–381, https://doi.org/10.5194/amt-15-365-2022,https://doi.org/10.5194/amt-15-365-2022, 2022
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20 Aug 2021
Interpreting estimated observation error statistics of weather radar measurements using the ICON-LAM-KENDA system
Yuefei Zeng, Tijana Janjic, Yuxuan Feng, Ulrich Blahak, Alberto de Lozar, Elisabeth Bauernschubert, Klaus Stephan, and Jinzhong Min
Atmos. Meas. Tech., 14, 5735–5756, https://doi.org/10.5194/amt-14-5735-2021,https://doi.org/10.5194/amt-14-5735-2021, 2021
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10 Mar 2021
Applying a new integrated mass-flux adjustment filter in rapid update cycling of convective-scale data assimilation for the COSMO model (v5.07)
Yuefei Zeng, Alberto de Lozar, Tijana Janjic, and Axel Seifert
Geosci. Model Dev., 14, 1295–1307, https://doi.org/10.5194/gmd-14-1295-2021,https://doi.org/10.5194/gmd-14-1295-2021, 2021
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