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| Main Authors: | , |
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| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2023
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| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.958537 |
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| _version_ | 1867169520066494464 |
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| author | Maahn, Maximilian Maherndl, Nina |
| author_facet | Maahn, Maximilian Maherndl, Nina |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The open source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high resolution and a design that limits wind disturbance. Here, movies and images of falling precipitation particles are provided for station Ny-Ålesund in 2021-2022. For further details on the VISS Sensor see Maahn et al. (2023). |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_958537 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (2021-2022) Maahn, Maximilian Maherndl, Nina AC3; Arctic Amplification; AWIPEV; AWIPEV_based; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA The open source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high resolution and a design that limits wind disturbance. Here, movies and images of falling precipitation particles are provided for station Ny-Ålesund in 2021-2022. For further details on the VISS Sensor see Maahn et al. (2023). |
| title | Video In Situ Snowfall Sensor (VISSS) data for Ny-Ålesund (2021-2022) |
| topic | AC3; Arctic Amplification; AWIPEV; AWIPEV_based; Video In Situ Snowfall Sensor, University of Cologne; VISSS; VISSS-NYA |
| url | https://doi.org/10.1594/PANGAEA.958537 |