Articles | Volume 22, issue 17
https://doi.org/10.5194/acp-22-11795-2022
© Author(s) 2022. 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-22-11795-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations
Institute of Geophysics and Meteorology, University of Cologne, Cologne, Germany
José Dias Neto
Department of Geosciences and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Davide Ori
Institute of Geophysics and Meteorology, University of Cologne, Cologne, Germany
Alexander Myagkov
Radiometer Physics GmbH, Meckenheim, Germany
Stefan Kneifel
Institute of Geophysics and Meteorology, University of Cologne, Cologne, Germany
Meteorological Institute, Ludwig-Maximilians University Munich, Germany
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Cited
14 citations as recorded by crossref.
- Indian West Coast's Extreme Rainfall: Sub-daily scale variability K. Sunilkumar et al. 10.1016/j.atmosres.2024.107518
- Unraveling ice multiplication in winter orographic clouds via in-situ observations, remote sensing and modeling P. Georgakaki et al. 10.1038/s41612-024-00671-9
- Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part I - Sensitivity study of microphysical processes representations P. Grzegorczyk et al. 10.1016/j.atmosres.2024.107774
- Characterisation of low-base and mid-base clouds and their thermodynamic phase over the Southern Ocean and Arctic marine regions B. Dietel et al. 10.5194/acp-24-7359-2024
- The Kinematic and Microphysical Characteristics of Extremely Heavy Rainfall in Zhengzhou City on 20 July 2021 Observed with Dual-Polarization Radars and Disdrometers B. Wu et al. 10.3390/rs15245688
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- Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part II - Effects on the cloud formation and development P. Grzegorczyk et al. 10.1016/j.atmosres.2024.107797
- 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. 10.5194/essd-15-5427-2023
- Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar A. Teisseire et al. 10.5194/amt-17-999-2024
- Distinct secondary ice production processes observed in radar Doppler spectra: insights from a case study A. Billault-Roux et al. 10.5194/acp-23-10207-2023
- Radar‐Derived Snowfall Microphysical Properties at Davis, Antarctica S. Alexander et al. 10.1029/2022JD038389
- PEAKO and peakTree: tools for detecting and interpreting peaks in cloud radar Doppler spectra – capabilities and limitations T. Vogl et al. 10.5194/amt-17-6547-2024
14 citations as recorded by crossref.
- Indian West Coast's Extreme Rainfall: Sub-daily scale variability K. Sunilkumar et al. 10.1016/j.atmosres.2024.107518
- Unraveling ice multiplication in winter orographic clouds via in-situ observations, remote sensing and modeling P. Georgakaki et al. 10.1038/s41612-024-00671-9
- Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part I - Sensitivity study of microphysical processes representations P. Grzegorczyk et al. 10.1016/j.atmosres.2024.107774
- Characterisation of low-base and mid-base clouds and their thermodynamic phase over the Southern Ocean and Arctic marine regions B. Dietel et al. 10.5194/acp-24-7359-2024
- The Kinematic and Microphysical Characteristics of Extremely Heavy Rainfall in Zhengzhou City on 20 July 2021 Observed with Dual-Polarization Radars and Disdrometers B. Wu et al. 10.3390/rs15245688
- Heavy snowfall event over the Swiss Alps: did wind shear impact secondary ice production? Z. Dedekind et al. 10.5194/acp-23-2345-2023
- Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach A. Billault-Roux et al. 10.5194/amt-16-911-2023
- Fragmentation of ice particles: laboratory experiments on graupel–graupel and graupel–snowflake collisions P. Grzegorczyk et al. 10.5194/acp-23-13505-2023
- Investigating secondary ice production in a deep convective cloud with a 3D bin microphysics model: Part II - Effects on the cloud formation and development P. Grzegorczyk et al. 10.1016/j.atmosres.2024.107797
- 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. 10.5194/essd-15-5427-2023
- Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar A. Teisseire et al. 10.5194/amt-17-999-2024
- Distinct secondary ice production processes observed in radar Doppler spectra: insights from a case study A. Billault-Roux et al. 10.5194/acp-23-10207-2023
- Radar‐Derived Snowfall Microphysical Properties at Davis, Antarctica S. Alexander et al. 10.1029/2022JD038389
- PEAKO and peakTree: tools for detecting and interpreting peaks in cloud radar Doppler spectra – capabilities and limitations T. Vogl et al. 10.5194/amt-17-6547-2024
Latest update: 23 Nov 2024
Short summary
We present a statistical analysis of ice microphysical processes (IMP) in mid-latitude clouds. Combining various radar approaches, we find that the IMP active at −20 to −10 °C seems to be the main driver of ice particle size, shape and concentration. The strength of aggregation at −20 to −10 °C correlates with the increase in concentration and aspect ratio of locally formed ice particles. Despite ongoing aggregation, the concentration of ice particles stays enhanced until −4 °C.
We present a statistical analysis of ice microphysical processes (IMP) in mid-latitude clouds....
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