Articles | Volume 14, issue 1
The Cryosphere, 14, 367–384, 2020
https://doi.org/10.5194/tc-14-367-2020
The Cryosphere, 14, 367–384, 2020
https://doi.org/10.5194/tc-14-367-2020
Research article
30 Jan 2020
Research article | 30 Jan 2020

Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera

Mathieu Schaer et al.

Related authors

Snowfall in Northern Finland derives mostly from ice clouds
Claudia Mignani, Lukas Zimmermann, Rigel Kivi, Alexis Berne, and Franz Conen
Atmos. Chem. Phys., 22, 13551–13568, https://doi.org/10.5194/acp-22-13551-2022,https://doi.org/10.5194/acp-22-13551-2022, 2022
Short summary
Ice fog observed at cirrus temperatures at Dome C, Antarctic Plateau
Étienne Vignon, Lea Raillard, Christophe Genthon, Massimo Del Guasta, Andrew J. Heymsfield, Jean-Baptiste Madeleine, and Alexis Berne
Atmos. Chem. Phys., 22, 12857–12872, https://doi.org/10.5194/acp-22-12857-2022,https://doi.org/10.5194/acp-22-12857-2022, 2022
Short summary
Radar and ground-level measurements of clouds and precipitation collected during the POPE 2020 campaign at Princess Elisabeth Antarctica
Alfonso Ferrone and Alexis Berne
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-295,https://doi.org/10.5194/essd-2022-295, 2022
Preprint under review for ESSD
Short summary
Dual-frequency spectral radar retrieval of snowfall microphysics: a physically constrained deep learning approach
Anne-Claire Billault-Roux, Gionata Ghiggi, Louis Jaffeux, Audrey Martini, Nicolas Viltard, and Alexis Berne
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-199,https://doi.org/10.5194/amt-2022-199, 2022
Revised manuscript accepted for AMT
Short summary
ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO)
Alfonso Ferrone, Anne-Claire Billault-Roux, and Alexis Berne
Atmos. Meas. Tech., 15, 3569–3592, https://doi.org/10.5194/amt-15-3569-2022,https://doi.org/10.5194/amt-15-3569-2022, 2022
Short summary

Related subject area

Discipline: Snow | Subject: Snow Physics
Stochastic analysis of micro-cone penetration tests in snow
Pyei Phyo Lin, Isabel Peinke, Pascal Hagenmuller, Matthias Wächter, M. Reza Rahimi Tabar, and Joachim Peinke
The Cryosphere, 16, 4811–4822, https://doi.org/10.5194/tc-16-4811-2022,https://doi.org/10.5194/tc-16-4811-2022, 2022
Short summary
A generalized photon-tracking approach to simulate spectral snow albedo and transmittance using X-ray microtomography and geometric optics
Theodore Letcher, Julie Parno, Zoe Courville, Lauren Farnsworth, and Jason Olivier
The Cryosphere, 16, 4343–4361, https://doi.org/10.5194/tc-16-4343-2022,https://doi.org/10.5194/tc-16-4343-2022, 2022
Short summary
Coherent backscatter enhancement in bistatic Ku- and X-band radar observations of dry snow
Marcel Stefko, Silvan Leinss, Othmar Frey, and Irena Hajnsek
The Cryosphere, 16, 2859–2879, https://doi.org/10.5194/tc-16-2859-2022,https://doi.org/10.5194/tc-16-2859-2022, 2022
Short summary
Environmental Conditions for Snow Cornice Formation tested in a Wind Tunnel
Hongxiang Yu, Guang Li, Benjamin Walter, Michael Lehning, Jie Zhang, and Ning Huang
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-27,https://doi.org/10.5194/tc-2022-27, 2022
Revised manuscript accepted for TC
Short summary
Effect of snowfall on changes in relative seismic velocity measured by ambient noise correlation
Antoine Guillemot, Alec van Herwijnen, Eric Larose, Stephanie Mayer, and Laurent Baillet
The Cryosphere, 15, 5805–5817, https://doi.org/10.5194/tc-15-5805-2021,https://doi.org/10.5194/tc-15-5805-2021, 2021
Short summary

Cited articles

Bellot, H., Trouvilliez, A., Naaim-Bouvet, F., Genthon, C., and Gallée, H.: Present weather-sensor tests for measuring drifting snow, Ann. Glaciol., 52, 176–184, 2011. a
Bintanja, R.: Snowdrift sublimation in a katabatic wind region of the Antarctic ice sheet, J. Appl. Meteorol., 40, 1952–1966, https://doi.org/10.1175/1520-0450(2001)040<1952:SSIAKW>2.0.CO;2, 2001. a
Box, J. E., Bromwich, D. H., Veenhuis, B. A., Bai, L.-S., Stroeve, J. C., Rogers, J. C., Steffen, K., Haran, T., and Wang, S.-H.: Greenland ice sheet surface mass balance variability (1988–2004) from calibrated polar MM5 output, J. Climate, 19, 2783–2800, 2006. a
Budd, W., Dingle, W., and Radok, U.: The Byrd snow drift project: outline and basic results, in: Studies in Antarctic Meteorology, edited by: Rubin, M. J., vol. 9 of Antarctic Research Series, American Geophysical Union, 71–134, 1966. a
Budd, W. F.: The drifting of non-uniform snow particles, in: Studies in Antarctic Meteorology, edited by: Rubin, M. J., vol. 9 of Antarctic Research Series, American Geophysical Union, 59–70, 1966. a
Download
Short summary
Wind and precipitation often occur together, making the distinction between particles coming from the atmosphere and those blown by the wind difficult. This is however a crucial task to accurately close the surface mass balance. We propose an algorithm based on Gaussian mixture models to separate blowing snow and precipitation in images collected by a Multi-Angle Snowflake Camera (MASC). The algorithm is trained and (positively) evaluated using data collected in the Swiss Alps and in Antarctica.