Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1511-2021
© 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/gmd-14-1511-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Leonie von Terzi
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Markus Karrer
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Stefan Kneifel
Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany
Viewed
Total article views: 4,248 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Nov 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,098 | 1,028 | 122 | 4,248 | 138 | 209 |
- HTML: 3,098
- PDF: 1,028
- XML: 122
- Total: 4,248
- BibTeX: 138
- EndNote: 209
Total article views: 3,649 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Mar 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,802 | 729 | 118 | 3,649 | 123 | 197 |
- HTML: 2,802
- PDF: 729
- XML: 118
- Total: 3,649
- BibTeX: 123
- EndNote: 197
Total article views: 599 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 09 Nov 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 296 | 299 | 4 | 599 | 15 | 12 |
- HTML: 296
- PDF: 299
- XML: 4
- Total: 599
- BibTeX: 15
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,248 (including HTML, PDF, and XML)
Thereof 3,962 with geography defined
and 286 with unknown origin.
Total article views: 3,649 (including HTML, PDF, and XML)
Thereof 3,458 with geography defined
and 191 with unknown origin.
Total article views: 599 (including HTML, PDF, and XML)
Thereof 504 with geography defined
and 95 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
16 citations as recorded by crossref.
- Frozen Precipitation Particle Properties Estimated from Dual-Frequency Precipitation Radar and GPM Microwave Imager K. Aonashi et al. https://doi.org/10.2151/sola.2025-014
- disdrodb: an open-source Python package for standardized processing, sharing, and analysis of disdrometer data G. Ghiggi et al. https://doi.org/10.5194/amt-19-4943-2026
- Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks M. Wendisch et al. https://doi.org/10.5194/acp-25-15047-2025
- 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
- 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
- Exploring vertical motions in convective and stratiform precipitation using spaceborne radar observations: insights from EarthCARE and GPM coincidence dataset S. Aoki et al. https://doi.org/10.5194/amt-19-79-2026
- A microwave scattering database of oriented ice and snow particles: supporting habit-dependent growth models and radar applications (McRadar 1.0.0) L. von Terzi et al. https://doi.org/10.5194/gmd-19-887-2026
- Arctic mixed-phase clouds simulated by the WRF model: Comparisons with ACLOUD radar and in situ airborne observations and sensitivity of microphysics properties D. Arteaga et al. https://doi.org/10.1016/j.atmosres.2024.107471
- 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
- Highly supercooled riming and unusual triple-frequency radar signatures over McMurdo Station, Antarctica F. Tridon et al. https://doi.org/10.5194/acp-22-12467-2022
- Quantifying riming from airborne data during the HALO-(AC)3campaign N. Maherndl et al. https://doi.org/10.5194/amt-17-1475-2024
- A mixing scheme of ice particle models for global ice cloud measurements B. Wu et al. https://doi.org/10.1016/j.rse.2024.114356
- Mechanisms of pulsed laser return signals in short-range detection under inhomogeneous snowfall L. Gan et al. https://doi.org/10.1016/j.infrared.2026.106779
- On the Geometry of Aggregate Snowflakes A. Seifert et al. https://doi.org/10.16993/tellus.4127
- A riming‐dependent parameterization of scattering by snowflakes using the self‐similar Rayleigh–Gans approximation N. Maherndl et al. https://doi.org/10.1002/qj.4573
- Investigating KDP signatures inside and below the dendritic growth layer with W-band Doppler radar and in situ snowfall camera A. Kötsche et al. https://doi.org/10.5194/acp-25-14045-2025
16 citations as recorded by crossref.
- Frozen Precipitation Particle Properties Estimated from Dual-Frequency Precipitation Radar and GPM Microwave Imager K. Aonashi et al. https://doi.org/10.2151/sola.2025-014
- disdrodb: an open-source Python package for standardized processing, sharing, and analysis of disdrometer data G. Ghiggi et al. https://doi.org/10.5194/amt-19-4943-2026
- Observed and modeled Arctic airmass transformations during warm air intrusions and cold air outbreaks M. Wendisch et al. https://doi.org/10.5194/acp-25-15047-2025
- 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
- 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
- Exploring vertical motions in convective and stratiform precipitation using spaceborne radar observations: insights from EarthCARE and GPM coincidence dataset S. Aoki et al. https://doi.org/10.5194/amt-19-79-2026
- A microwave scattering database of oriented ice and snow particles: supporting habit-dependent growth models and radar applications (McRadar 1.0.0) L. von Terzi et al. https://doi.org/10.5194/gmd-19-887-2026
- Arctic mixed-phase clouds simulated by the WRF model: Comparisons with ACLOUD radar and in situ airborne observations and sensitivity of microphysics properties D. Arteaga et al. https://doi.org/10.1016/j.atmosres.2024.107471
- 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
- Highly supercooled riming and unusual triple-frequency radar signatures over McMurdo Station, Antarctica F. Tridon et al. https://doi.org/10.5194/acp-22-12467-2022
- Quantifying riming from airborne data during the HALO-(AC)3campaign N. Maherndl et al. https://doi.org/10.5194/amt-17-1475-2024
- A mixing scheme of ice particle models for global ice cloud measurements B. Wu et al. https://doi.org/10.1016/j.rse.2024.114356
- Mechanisms of pulsed laser return signals in short-range detection under inhomogeneous snowfall L. Gan et al. https://doi.org/10.1016/j.infrared.2026.106779
- On the Geometry of Aggregate Snowflakes A. Seifert et al. https://doi.org/10.16993/tellus.4127
- A riming‐dependent parameterization of scattering by snowflakes using the self‐similar Rayleigh–Gans approximation N. Maherndl et al. https://doi.org/10.1002/qj.4573
- Investigating KDP signatures inside and below the dendritic growth layer with W-band Doppler radar and in situ snowfall camera A. Kötsche et al. https://doi.org/10.5194/acp-25-14045-2025
Saved (final revised paper)
Latest update: 11 Aug 2026
Short summary
Snowflakes have very complex shapes, and modeling their properties requires vast computing power. We produced a large number of realistic snowflakes and modeled their average properties by leveraging their fractal structure. Our approach allows modeling the properties of big ensembles of snowflakes, taking into account their natural variability, at a much lower cost. This enables the usage of remote sensing instruments, such as radars, to monitor the evolution of clouds and precipitation.
Snowflakes have very complex shapes, and modeling their properties requires vast computing...