Articles | Volume 21, issue 23
https://doi.org/10.5194/acp-21-17291-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-17291-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue overview
| 
01 Dec 2021
Special issue overview |
| 01 Dec 2021
| 01 Dec 2021
Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes
Silke Trömel
CORRESPONDING AUTHOR
Institute for Geosciences, Department of Meteorology, University of
Bonn, Bonn, 53121, Germany
Laboratory for Clouds and Precipitation Exploration, Geoverbund ABC/J,
Bonn, 53121, Germany
Clemens Simmer
Institute for Geosciences, Department of Meteorology, University of
Bonn, Bonn, 53121, Germany
Ulrich Blahak
Deutscher Wetterdienst (DWD), Offenbach, 63067, Germany
Armin Blanke
Institute for Geosciences, Department of Meteorology, University of
Bonn, Bonn, 53121, Germany
Sabine Doktorowski
Institute for Meteorology, Universität Leipzig, Leipzig, 04103,
Germany
Florian Ewald
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, 82234,
Germany
Michael Frech
Deutscher Wetterdienst (DWD), Observatorium Hohenpeißenberg,
Hohenpeißenberg, 82383, Germany
Mathias Gergely
Deutscher Wetterdienst (DWD), Observatorium Hohenpeißenberg,
Hohenpeißenberg, 82383, Germany
Martin Hagen
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, 82234,
Germany
Tijana Janjic
Meteorological Institute Munich, Ludwig-Maximilians-Universität
München, Munich, 80333, Germany
Heike Kalesse-Los
Deutscher Wetterdienst (DWD), Observatorium Hohenpeißenberg,
Hohenpeißenberg, 82383, Germany
Stefan Kneifel
Institute of Geophysics and Meteorology, University of Cologne, Cologne, 50969,
Germany
Christoph Knote
Meteorological Institute Munich, Ludwig-Maximilians-Universität
München, Munich, 80333, Germany
Faculty of Medicine, University of Augsburg, Augsburg, 86159 Germany
Jana Mendrok
Deutscher Wetterdienst (DWD), Offenbach, 63067, Germany
Manuel Moser
Institute for Physics of the Atmosphere, University Mainz, Mainz,
55099, Germany
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, 82234,
Germany
Gregor Köcher
Meteorological Institute Munich, Ludwig-Maximilians-Universität
München, Munich, 80333, Germany
Kai Mühlbauer
Institute for Geosciences, Department of Meteorology, University of
Bonn, Bonn, 53121, Germany
Alexander Myagkov
Radiometer Physics GmbH, Meckenheim, 53340, Germany
Velibor Pejcic
Institute for Geosciences, Department of Meteorology, University of
Bonn, Bonn, 53121, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
Prabhakar Shrestha
Institute for Geosciences, Department of Meteorology, University of
Bonn, Bonn, 53121, Germany
Audrey Teisseire
Leibniz Institute for Tropospheric Research (TROPOS), 04318 Leipzig,
Germany
Leonie von Terzi
Institute of Geophysics and Meteorology, University of Cologne, Cologne, 50969,
Germany
Eleni Tetoni
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, 82234,
Germany
Teresa Vogl
Institute for Meteorology, Universität Leipzig, Leipzig, 04103,
Germany
Christiane Voigt
Institute for Physics of the Atmosphere, University Mainz, Mainz,
55099, Germany
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, 82234,
Germany
Yuefei Zeng
Meteorological Institute Munich, Ludwig-Maximilians-Universität
München, Munich, 80333, Germany
Tobias Zinner
Meteorological Institute Munich, Ludwig-Maximilians-Universität
München, Munich, 80333, Germany
Johannes Quaas
Institute for Meteorology, Universität Leipzig, Leipzig, 04103,
Germany
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Cited
17 citations as recorded by crossref.
- Multiscale Representation of Radar Echo Data Retrieved through Deep Learning from Numerical Model Simulations and Satellite Images M. Zhu et al. 10.3390/rs15143466
- Influence of cloud microphysics schemes on weather model predictions of heavy precipitation G. Köcher et al. 10.5194/acp-23-6255-2023
- Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples G. Köcher et al. 10.5194/amt-15-1033-2022
- Revisiting Raindrop Axis Ratios Based on 3D Oblate Spheroidal Reconstruction: 2D Video Disdrometer Observations During Tropical Cyclone Passages H. Zheng et al. 10.1029/2023GL103281
- Subgrid-scale variability of cloud ice in the ICON-AES 1.3.00 S. Doktorowski et al. 10.5194/gmd-17-3099-2024
- Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators P. Shrestha et al. 10.5194/gmd-15-291-2022
- Retrievals of ice microphysical properties using dual-wavelength polarimetric radar observations during stratiform precipitation events E. Tetoni et al. 10.5194/amt-15-3969-2022
- Evaluation of modelled summertime convective storms using polarimetric radar observations P. Shrestha et al. 10.5194/acp-22-7593-2022
- Quantifying riming from airborne data during the HALO-(AC)3campaign N. Maherndl et al. 10.5194/amt-17-1475-2024
- Five years calibrated observations from the University of Bonn X-band weather radar (BoXPol) V. Pejcic et al. 10.1038/s41597-022-01656-0
- ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors H. Xie et al. 10.5194/gmd-17-5657-2024
- Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe – modeling and observations P. Shrestha et al. 10.5194/acp-22-14095-2022
- Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes M. Gergely et al. 10.5194/amt-15-7315-2022
- Evaluating Simulated Microphysics of Stratiform and Convective Precipitation in a Squall Line Event Using Polarimetric Radar Observations Y. Sun et al. 10.3390/rs15061507
- Evaluation of polarimetric ice microphysical retrievals with OLYMPEX campaign data A. Blanke et al. 10.5194/amt-16-2089-2023
- Evaluation of cloud and precipitation processes in regional and global models with ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment): a case study using the dual-polarization Doppler weather radars M. Satoh et al. 10.1186/s40645-022-00511-5
- Short-Term Predictability of Extreme Rainfall Using Dual-Polarization Radar Measurements A. OTSUBO & A. ADACHI 10.2151/jmsj.2024-007
17 citations as recorded by crossref.
- Multiscale Representation of Radar Echo Data Retrieved through Deep Learning from Numerical Model Simulations and Satellite Images M. Zhu et al. 10.3390/rs15143466
- Influence of cloud microphysics schemes on weather model predictions of heavy precipitation G. Köcher et al. 10.5194/acp-23-6255-2023
- Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples G. Köcher et al. 10.5194/amt-15-1033-2022
- Revisiting Raindrop Axis Ratios Based on 3D Oblate Spheroidal Reconstruction: 2D Video Disdrometer Observations During Tropical Cyclone Passages H. Zheng et al. 10.1029/2023GL103281
- Subgrid-scale variability of cloud ice in the ICON-AES 1.3.00 S. Doktorowski et al. 10.5194/gmd-17-3099-2024
- Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators P. Shrestha et al. 10.5194/gmd-15-291-2022
- Retrievals of ice microphysical properties using dual-wavelength polarimetric radar observations during stratiform precipitation events E. Tetoni et al. 10.5194/amt-15-3969-2022
- Evaluation of modelled summertime convective storms using polarimetric radar observations P. Shrestha et al. 10.5194/acp-22-7593-2022
- Quantifying riming from airborne data during the HALO-(AC)3campaign N. Maherndl et al. 10.5194/amt-17-1475-2024
- Five years calibrated observations from the University of Bonn X-band weather radar (BoXPol) V. Pejcic et al. 10.1038/s41597-022-01656-0
- ZJU-AERO V0.5: an Accurate and Efficient Radar Operator designed for CMA-GFS/MESO with the capability to simulate non-spherical hydrometeors H. Xie et al. 10.5194/gmd-17-5657-2024
- Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe – modeling and observations P. Shrestha et al. 10.5194/acp-22-14095-2022
- Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes M. Gergely et al. 10.5194/amt-15-7315-2022
- Evaluating Simulated Microphysics of Stratiform and Convective Precipitation in a Squall Line Event Using Polarimetric Radar Observations Y. Sun et al. 10.3390/rs15061507
- Evaluation of polarimetric ice microphysical retrievals with OLYMPEX campaign data A. Blanke et al. 10.5194/amt-16-2089-2023
- Evaluation of cloud and precipitation processes in regional and global models with ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment): a case study using the dual-polarization Doppler weather radars M. Satoh et al. 10.1186/s40645-022-00511-5
- Short-Term Predictability of Extreme Rainfall Using Dual-Polarization Radar Measurements A. OTSUBO & A. ADACHI 10.2151/jmsj.2024-007
Latest update: 22 Nov 2024
Short summary
The article introduces the ACP readership to ongoing research in Germany on cloud- and precipitation-related process information inherent in polarimetric radar measurements, outlines pathways to inform atmospheric models with radar-based information, and points to remaining challenges towards an improved fusion of radar polarimetry and atmospheric modelling.
The article introduces the ACP readership to ongoing research in Germany on cloud- and...
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