Articles | Volume 19, issue 8
https://doi.org/10.5194/acp-19-5753-2019
© Author(s) 2019. 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-19-5753-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 May 2019
Research article |
| 02 May 2019
| 02 May 2019
Rapid ice aggregation process revealed through triple-wavelength Doppler spectrum radar analysis
Department of Meteorology, University of Reading, Reading, RG6 6BB,
UK
Institute for Meteorology and Climate Research, Karlsruhe
Institute of Technology, 76131 Karlsruhe, Germany
Christopher D. Westbrook
Department of Meteorology, University of Reading, Reading, RG6 6BB,
UK
John C. Nicol
Department of Meteorology, University of Reading, Reading, RG6 6BB,
UK
Thorwald H. M. Stein
Department of Meteorology, University of Reading, Reading, RG6 6BB,
UK
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Cited
24 citations as recorded by crossref.
- Unraveling ice multiplication in winter orographic clouds via in-situ observations, remote sensing and modeling P. Georgakaki et al. https://doi.org/10.1038/s41612-024-00671-9
- Quantifying Uncertainty in Ice Particle Velocity–Dimension Relationships Using MC3E Observations A. Dzambo et al. https://doi.org/10.1175/JAS-D-21-0322.1
- Establishment and Preliminary Application of the Forward Modeling Method for Doppler Spectral Density of Ice Particles H. Ding & L. Liu https://doi.org/10.3390/rs12203378
- Towards the connection between snow microphysics and melting layer: insights from multifrequency and dual-polarization radar observations during BAECC H. Li et al. https://doi.org/10.5194/acp-20-9547-2020
- Radar‐Derived Snowfall Microphysical Properties at Davis, Antarctica S. Alexander et al. https://doi.org/10.1029/2022JD038389
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. https://doi.org/10.1029/2019MS001689
- Using artificial neural networks to predict riming from Doppler cloud radar observations T. Vogl et al. https://doi.org/10.5194/amt-15-365-2022
- Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations G. Chellini et al. https://doi.org/10.5194/essd-15-5427-2023
- An accurate and computationally cheap microwave scattering method for ice aggregates: the Independent Monomer Approximation K. McCusker et al. https://doi.org/10.1002/qj.3967
- Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations L. von Terzi et al. https://doi.org/10.5194/acp-22-11795-2022
- Understanding the History of Two Complex Ice Crystal Habits Deduced From a Holographic Imager J. Pasquier et al. https://doi.org/10.1029/2022GL100247
- The importance of particle size distribution and internal structure for triple-frequency radar retrievals of the morphology of snow S. Mason et al. https://doi.org/10.5194/amt-12-4993-2019
- Ice Aggregation in Low‐Level Mixed‐Phase Clouds at a High Arctic Site: Enhanced by Dendritic Growth and Absent Close to the Melting Level G. Chellini et al. https://doi.org/10.1029/2022JD036860
- Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach A. Billault-Roux et al. https://doi.org/10.5194/amt-16-911-2023
- Retrieving microphysical properties of concurrent pristine ice and snow using polarimetric radar observations N. Kedzuf et al. https://doi.org/10.5194/amt-14-6885-2021
- Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations M. Karrer et al. https://doi.org/10.5194/acp-21-17133-2021
- Estimating total attenuation using Rayleigh targets at cloud top: applications in multilayer and mixed-phase clouds observed by ground-based multifrequency radars F. Tridon et al. https://doi.org/10.5194/amt-13-5065-2020
- Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars C. Cheng & F. Yi https://doi.org/10.3390/rs12132094
- Cloud and Precipitation Profiling Radars: The First Combined W- and K-Band Radar Profiler Measurements in Italy M. Montopoli et al. https://doi.org/10.3390/s23125524
- A survey of snow growth signatures from tropics to Antarctica using triple-frequency radar observations Q. Li et al. https://doi.org/10.5194/acp-26-1249-2026
- High‐Resolution Snowstorm Measurements and Retrievals Using Cross‐Platform Multi‐Frequency and Polarimetric Radars E. Dunnavan et al. https://doi.org/10.1029/2023GL103692
- Microphysical process of precipitating hydrometeors from warm-front mid-level stratiform clouds revealed by ground-based lidar observations Y. Yi et al. https://doi.org/10.5194/acp-21-17649-2021
- Modeling homogeneous ice nucleation from drop-freezing experiments: impact of droplet volume dispersion and cooling rates R. Addula et al. https://doi.org/10.5194/acp-24-10833-2024
- The Impact of the Radar-Sampling Volume on Multiwavelength Spaceborne Radar Measurements Using Airborne Radar Observations L. Pfitzenmaier et al. https://doi.org/10.3390/rs11192263
24 citations as recorded by crossref.
- Unraveling ice multiplication in winter orographic clouds via in-situ observations, remote sensing and modeling P. Georgakaki et al. https://doi.org/10.1038/s41612-024-00671-9
- Quantifying Uncertainty in Ice Particle Velocity–Dimension Relationships Using MC3E Observations A. Dzambo et al. https://doi.org/10.1175/JAS-D-21-0322.1
- Establishment and Preliminary Application of the Forward Modeling Method for Doppler Spectral Density of Ice Particles H. Ding & L. Liu https://doi.org/10.3390/rs12203378
- Towards the connection between snow microphysics and melting layer: insights from multifrequency and dual-polarization radar observations during BAECC H. Li et al. https://doi.org/10.5194/acp-20-9547-2020
- Radar‐Derived Snowfall Microphysical Properties at Davis, Antarctica S. Alexander et al. https://doi.org/10.1029/2022JD038389
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. https://doi.org/10.1029/2019MS001689
- Using artificial neural networks to predict riming from Doppler cloud radar observations T. Vogl et al. https://doi.org/10.5194/amt-15-365-2022
- Low-level mixed-phase clouds at the high Arctic site of Ny-Ålesund: a comprehensive long-term dataset of remote sensing observations G. Chellini et al. https://doi.org/10.5194/essd-15-5427-2023
- An accurate and computationally cheap microwave scattering method for ice aggregates: the Independent Monomer Approximation K. McCusker et al. https://doi.org/10.1002/qj.3967
- Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations L. von Terzi et al. https://doi.org/10.5194/acp-22-11795-2022
- Understanding the History of Two Complex Ice Crystal Habits Deduced From a Holographic Imager J. Pasquier et al. https://doi.org/10.1029/2022GL100247
- The importance of particle size distribution and internal structure for triple-frequency radar retrievals of the morphology of snow S. Mason et al. https://doi.org/10.5194/amt-12-4993-2019
- Ice Aggregation in Low‐Level Mixed‐Phase Clouds at a High Arctic Site: Enhanced by Dendritic Growth and Absent Close to the Melting Level G. Chellini et al. https://doi.org/10.1029/2022JD036860
- Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach A. Billault-Roux et al. https://doi.org/10.5194/amt-16-911-2023
- Retrieving microphysical properties of concurrent pristine ice and snow using polarimetric radar observations N. Kedzuf et al. https://doi.org/10.5194/amt-14-6885-2021
- Improving the representation of aggregation in a two-moment microphysical scheme with statistics of multi-frequency Doppler radar observations M. Karrer et al. https://doi.org/10.5194/acp-21-17133-2021
- Estimating total attenuation using Rayleigh targets at cloud top: applications in multilayer and mixed-phase clouds observed by ground-based multifrequency radars F. Tridon et al. https://doi.org/10.5194/amt-13-5065-2020
- Falling Mixed-Phase Ice Virga and their Liquid Parent Cloud Layers as Observed by Ground-Based Lidars C. Cheng & F. Yi https://doi.org/10.3390/rs12132094
- Cloud and Precipitation Profiling Radars: The First Combined W- and K-Band Radar Profiler Measurements in Italy M. Montopoli et al. https://doi.org/10.3390/s23125524
- A survey of snow growth signatures from tropics to Antarctica using triple-frequency radar observations Q. Li et al. https://doi.org/10.5194/acp-26-1249-2026
- High‐Resolution Snowstorm Measurements and Retrievals Using Cross‐Platform Multi‐Frequency and Polarimetric Radars E. Dunnavan et al. https://doi.org/10.1029/2023GL103692
- Microphysical process of precipitating hydrometeors from warm-front mid-level stratiform clouds revealed by ground-based lidar observations Y. Yi et al. https://doi.org/10.5194/acp-21-17649-2021
- Modeling homogeneous ice nucleation from drop-freezing experiments: impact of droplet volume dispersion and cooling rates R. Addula et al. https://doi.org/10.5194/acp-24-10833-2024
- The Impact of the Radar-Sampling Volume on Multiwavelength Spaceborne Radar Measurements Using Airborne Radar Observations L. Pfitzenmaier et al. https://doi.org/10.3390/rs11192263
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We use radars at three wavelengths to study cloud properties. The full Doppler spectra (rather than calculated averages of the spectra) are compared for the radars. This allows us to estimate the size and number of ice particles within the cloud. By following the evolution of the ice particles, we observe a region where particles rapidly and consistently increase in size. The observations suggest that these large particles form through interlocking of branched arms of smaller ice particles.
We use radars at three wavelengths to study cloud properties. The full Doppler spectra (rather...
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