Articles | Volume 19, issue 21
https://doi.org/10.5194/amt-19-7151-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-7151-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Characterising the occurrence of monomodal and multimodal ice hydrometeor populations and their fall speeds in midlatitude frontal ice clouds using radar Doppler spectra
Rosie M. Mammatt
CORRESPONDING AUTHOR
Department of Meteorology, University of Reading, Reading, UK
now at: Institut für Meteorologie, Freie Universität Berlin, Berlin, Germany
Chris Westbrook
Department of Meteorology, University of Reading, Reading, UK
Karina McCusker
Department of Meteorology, University of Reading, Reading, UK
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Robert J. Thompson, Thorwald H. M. Stein, Chun Hay Brian Lo, Robert Jackson, Christopher D. Westbrook, Scott Collis, Lindsay Rhodes, Timothy Darlington, Emily G. Norton, Paul A. Barrett, and Ryan R. Neely III
EGUsphere, https://doi.org/10.5194/egusphere-2026-4631, https://doi.org/10.5194/egusphere-2026-4631, 2026
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Thunderstorms have complex flow patterns that are difficult to observe directly. Observational data is needed for robust evaluation to confirm that forecast models behave correctly. Five Doppler weather radars in Southern England, an updated 3D variational algorithm used, to generate a 3D grid of the 3 components of the wind. The dataset is verified with wind profiler, aircraft & separate radar, finding accuracy better than 2.4 ms−1. This data is valuable for evaluation of models.
Anthony J. Baran, Stuart Fox, Richard Cotton, Julien Delanoë, Christopher J. Walden, Karina McCusker, Christopher D. Westbrook, and Peter G. Huggard
Atmos. Meas. Tech., 19, 4367–4392, https://doi.org/10.5194/amt-19-4367-2026, https://doi.org/10.5194/amt-19-4367-2026, 2026
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We demonstrate how multi-frequency ground-based radars at 3, 35 and 94 GHz can be used to determine vertical profiles of ice-particle size spectra by combining reflectivity with machine-learning prior information on UK wintertime ice clouds. The method is validated using independent profiles from a 200 GHz radar and aircraft-based in-situ observations. It gives a consistent representation to compare with aircraft-based radiometric measurements in future radiative-transfer closure studies.
Karina McCusker, Chris Westbrook, Alessandro Battaglia, Kamil Mroz, Benjamin M. Courtier, Peter G. Huggard, Hui Wang, Richard Reeves, Christopher J. Walden, Richard Cotton, Stuart Fox, and Anthony J. Baran
Atmos. Meas. Tech., 18, 7833–7852, https://doi.org/10.5194/amt-18-7833-2025, https://doi.org/10.5194/amt-18-7833-2025, 2025
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This work presents the first known retrievals of ice cloud and snowfall properties using G-band radar, representing a major step forward in the use of high-frequency radar for atmospheric remote sensing. We present theory and simulations to show that ice water content (IWC) and snowfall rate (S) can be retrieved efficiently with a single frequency G-band radar if the mass of a wavelength-sized particle is known or can be assumed, while details of the particle size distribution are not required.
Jennifer R. Stout, Christopher D. Westbrook, Thorwald H. M. Stein, and Mark W. McCorquodale
Atmos. Chem. Phys., 24, 11133–11155, https://doi.org/10.5194/acp-24-11133-2024, https://doi.org/10.5194/acp-24-11133-2024, 2024
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This study uses 3D-printed ice crystal analogues falling in a water–glycerine mix and observed with multi-view cameras, simulating atmospheric conditions. Four types of motion are observed: stable, zigzag, transitional, and spiralling. Particle shape strongly influences motion; complex shapes have a wider range of conditions where they fall steadily compared to simple plates. The most common orientation of unstable particles is non-horizontal, contrary to prior assumptions of always horizontal.
Karina McCusker, Anthony J. Baran, Chris Westbrook, Stuart Fox, Patrick Eriksson, Richard Cotton, Julien Delanoë, and Florian Ewald
Atmos. Meas. Tech., 17, 3533–3552, https://doi.org/10.5194/amt-17-3533-2024, https://doi.org/10.5194/amt-17-3533-2024, 2024
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Polarised radiative transfer simulations are performed using an atmospheric model based on in situ measurements. These are compared to large polarisation measurements to explore whether such measurements can provide information on cloud ice, e.g. particle shape and orientation. We find that using oriented particle models with shapes based on imagery generally allows for accurate simulations. However, results are sensitive to shape assumptions such as the choice of single crystals or aggregates.
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Short summary
Secondary ice production in stratiform clouds remains poorly understood. In this article, a peak finding algorithm applied to radar Doppler spectra is used to produce the a quantitative estimate of the distribution of multimodal spectra with temperature, from which ice multiplication can be inferred. Peaks in spectral reflectivity also correspond to velocities of the different populations. We show evidence that particle velocities decrease at temperatures associated with dendritic growth.
Secondary ice production in stratiform clouds remains poorly understood. In this article, a peak...
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