Preprints
https://doi.org/10.5194/egusphere-2023-655
https://doi.org/10.5194/egusphere-2023-655
20 Apr 2023
 | 20 Apr 2023
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Introducing the Video In Situ Snowfall Sensor (VISSS)

Maximilian Maahn, Dmitri Moisseev, Isabelle Steinke, Nina Maherndl, and Matthew D. Shupe

Abstract. The open source Video In Situ Snowfall Sensor (VISSS) is introduced as 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. VISSS data products include per-particle properties and integrated particle size distribution properties such as particle maximum extent, cross-sectional area, perimeter, complexity, and – in the future – sedimentation velocity. Initial analysis shows that the VISSS provides robust statistics based on up to 100,000 particles observed per minute. Comparison of the VISSS with collocated PIP and Parsivel instruments at Hyytiälä, Finland, shows excellent agreement with Parsivel, but reveals some differences for the PIP (Precipitation Imaging Package) that are likely related to PIP data processing and limitations of the PIP with respect to observing smaller particles. The open source nature of the VISSS hardware plans, data acquisition software, and data processing libraries invites the community to contribute to the development of the instrument, which has many potential applications in atmospheric science and beyond.

Maximilian Maahn et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-655', Thomas Kuhn, 30 May 2023 reply

Maximilian Maahn et al.

Data sets

VISSS, PIP, and Parsivel Snowfall Observations from Winter 2021/22 in Hyytiälä, Finland M. Maahn and D. Moisseev https://doi.org/10.5281/zenodo.7797286

Hardware Design of the Video In Situ Snowfall Sensor v2 (VISSS2) M. Maahn, R. Haseneder-Lind, and P. Krobot https://doi.org/10.5281/zenodo.7640821

Model code and software

Video In Situ Snowfall Sensor (VISSS) Data Processing Library V2023.1.6 M. Maahn https://doi.org/10.5281/zenodo.7650394

Video In Situ Snowfall Sensor (VISSS) Data Acquisition Software V0.3.1 M. Maahn https://doi.org/10.5281/zenodo.7640801

Maximilian Maahn et al.

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Short summary
The open source Video In Situ Snowfall Sensor (VISSS) is a novel instrument for characterizing particle shape and size in snowfall. It allows accurate sizing of snow particles and 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.