Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-899-2024
© Author(s) 2024. 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-17-899-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Introducing the Video In Situ Snowfall Sensor (VISSS)
Maximilian Maahn
CORRESPONDING AUTHOR
Leipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, Germany
Dmitri Moisseev
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Finnish Meteorological Institute, Helsinki, Finland
Isabelle Steinke
Leipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, Germany
now at: Geoscience and Remote Sensing Department, Delft University of Technology, Delft, the Netherlands
Nina Maherndl
Leipzig Institute for Meteorology (LIM), Leipzig University, Leipzig, Germany
Matthew D. Shupe
Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado, USA
National Oceanographic and Atmospheric Administration, Physical Sciences Laboratory, Boulder, Colorado, USA
Viewed
Total article views: 7,416 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Apr 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 5,832 | 1,383 | 201 | 7,416 | 292 | 346 |
- HTML: 5,832
- PDF: 1,383
- XML: 201
- Total: 7,416
- BibTeX: 292
- EndNote: 346
Total article views: 4,723 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Feb 2024)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,115 | 531 | 77 | 4,723 | 105 | 110 |
- HTML: 4,115
- PDF: 531
- XML: 77
- Total: 4,723
- BibTeX: 105
- EndNote: 110
Total article views: 2,693 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Apr 2023)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,717 | 852 | 124 | 2,693 | 187 | 236 |
- HTML: 1,717
- PDF: 852
- XML: 124
- Total: 2,693
- BibTeX: 187
- EndNote: 236
Viewed (geographical distribution)
Total article views: 7,416 (including HTML, PDF, and XML)
Thereof 7,383 with geography defined
and 33 with unknown origin.
Total article views: 4,723 (including HTML, PDF, and XML)
Thereof 4,691 with geography defined
and 32 with unknown origin.
Total article views: 2,693 (including HTML, PDF, and XML)
Thereof 2,692 with geography defined
and 1 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
14 citations as recorded by crossref.
- Efficient ice multiplication from freezing raindrop fragmentation N. Pfeifer et al. https://doi.org/10.1038/s43247-025-02953-3
- Ice-nucleating particle depletion in the wintertime boundary layer in the pre-Alpine region during stratus cloud conditions K. Ohneiser et al. https://doi.org/10.5194/acp-26-3223-2026
- Snow microphysical processes in orographic turbulence revealed by cloud radar and in situ snowfall camera observations A. Kötsche et al. https://doi.org/10.5194/acp-26-3277-2026
- 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
- Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm Y. Chu et al. https://doi.org/10.5194/amt-18-2781-2025
- Impact of seeder-feeder cloud interaction on precipitation formation: a case study based on extensive remote-sensing, in situ and model data K. Ohneiser et al. https://doi.org/10.5194/acp-25-17363-2025
- A new aggregation and riming discrimination algorithm based on polarimetric weather radars A. Blanke et al. https://doi.org/10.5194/acp-25-4167-2025
- Riming-dependent snowfall rate and ice water content retrievals for W-band cloud radar N. Maherndl et al. https://doi.org/10.5194/amt-18-3287-2025
- An introduction of the Three-Dimensional Precipitation Particle Imager (3D-PPI) J. Shi et al. https://doi.org/10.5194/amt-18-2261-2025
- Contribution of the 2DVD to the investigation of cloud microphysics during the MOSAiC and Cloudlab/PolarCAP campaigns T. Gaudek et al. https://doi.org/10.5194/amt-19-2245-2026
- Evaluation of the Vertical Distribution of Particle Shape (VDPS) method with in situ measurements and assessment of the impact of non-Rayleigh scattering A. Teisseire et al. https://doi.org/10.5194/amt-19-2897-2026
- A new low-cost three-dimensional precipitation particle imager (3D-PPI2): design and experiment T. Chen et al. https://doi.org/10.1088/1361-6501/ae1315
- Impact of weather systems on observed precipitation at Ny-Ålesund (Svalbard) K. Ebell et al. https://doi.org/10.5194/acp-25-7315-2025
- Stable and unstable fall motions of plate-like ice crystal analogues J. Stout et al. https://doi.org/10.5194/acp-24-11133-2024
14 citations as recorded by crossref.
- Efficient ice multiplication from freezing raindrop fragmentation N. Pfeifer et al. https://doi.org/10.1038/s43247-025-02953-3
- Ice-nucleating particle depletion in the wintertime boundary layer in the pre-Alpine region during stratus cloud conditions K. Ohneiser et al. https://doi.org/10.5194/acp-26-3223-2026
- Snow microphysical processes in orographic turbulence revealed by cloud radar and in situ snowfall camera observations A. Kötsche et al. https://doi.org/10.5194/acp-26-3277-2026
- 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
- Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm Y. Chu et al. https://doi.org/10.5194/amt-18-2781-2025
- Impact of seeder-feeder cloud interaction on precipitation formation: a case study based on extensive remote-sensing, in situ and model data K. Ohneiser et al. https://doi.org/10.5194/acp-25-17363-2025
- A new aggregation and riming discrimination algorithm based on polarimetric weather radars A. Blanke et al. https://doi.org/10.5194/acp-25-4167-2025
- Riming-dependent snowfall rate and ice water content retrievals for W-band cloud radar N. Maherndl et al. https://doi.org/10.5194/amt-18-3287-2025
- An introduction of the Three-Dimensional Precipitation Particle Imager (3D-PPI) J. Shi et al. https://doi.org/10.5194/amt-18-2261-2025
- Contribution of the 2DVD to the investigation of cloud microphysics during the MOSAiC and Cloudlab/PolarCAP campaigns T. Gaudek et al. https://doi.org/10.5194/amt-19-2245-2026
- Evaluation of the Vertical Distribution of Particle Shape (VDPS) method with in situ measurements and assessment of the impact of non-Rayleigh scattering A. Teisseire et al. https://doi.org/10.5194/amt-19-2897-2026
- A new low-cost three-dimensional precipitation particle imager (3D-PPI2): design and experiment T. Chen et al. https://doi.org/10.1088/1361-6501/ae1315
- Impact of weather systems on observed precipitation at Ny-Ålesund (Svalbard) K. Ebell et al. https://doi.org/10.5194/acp-25-7315-2025
- Stable and unstable fall motions of plate-like ice crystal analogues J. Stout et al. https://doi.org/10.5194/acp-24-11133-2024
Saved (final revised paper)
Latest update: 23 Jun 2026
Short summary
The open-source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for characterizing particle shape, size, and sedimentation velocity in snowfall. It combines a large observation volume with relatively high resolution and a design that limits wind perturbations. The open-source nature of the VISSS hardware and software invites the community to contribute to the development of the instrument, which has many potential applications in atmospheric science and beyond.
The open-source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for characterizing...