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): Prabhakar Shrestha, Patric Seifert, Raquel Evaristo, and Ulrich Löhnert Special issue jointly organized between Atmospheric Chemistry and Physics, Atmospheric Measurement Techniques, and Geoscientific Model Development More information

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01 Jul 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. Discuss., https://doi.org/10.5194/acp-2021-382,https://doi.org/10.5194/acp-2021-382, 2021
Preprint under review for ACP (discussion: open, 1 comment)
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15 Jun 2021
Evaluation of modeled summertime convective storms using polarimetric radar observations
Prabhakar Shrestha, Silke Trömel, Raquel Evaristo, and Clemens Simmer
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-404,https://doi.org/10.5194/acp-2021-404, 2021
Preprint under review for ACP (discussion: open, 0 comments)
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21 May 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, Florian Ewald, Michael Frech, Mathias Gergely, Martin Hagen, Sabine Hörnig, Tijana Janjic, Heike Kalesse, Stefan Kneifel, Christoph Knote, Jana Mendrok, Manuel Moser, Gregor Möller, Kai Mühlbauer, Alexander Myagkov, Velibor Pejcic, Patric Seifert, Prabhakar Shrestha, Audrey Teisseire, Leoni von Terzi, Eleni Tetoni, Teresa Vogl, Christiane Voigt, Yuefei Zeng, Tobias Zinner, and Johannes Quaas
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-346,https://doi.org/10.5194/acp-2021-346, 2021
Preprint under review for ACP (discussion: final response, 3 comments)
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19 May 2021
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. Discuss., https://doi.org/10.5194/amt-2021-137,https://doi.org/10.5194/amt-2021-137, 2021
Preprint under review for AMT (discussion: final response, 2 comments)
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12 Apr 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. Discuss., https://doi.org/10.5194/amt-2021-95,https://doi.org/10.5194/amt-2021-95, 2021
Revised manuscript accepted for AMT (discussion: closed, 4 comments)
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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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