GEODAR Data and the Flow Regimes of Snow Avalanches

• Published in: Journal of geophysical research. Earth surface 2018-06, Vol.123 (6), p.1272-1294
• Main Authors: Köhler, A., McElwaine, J. N., Sovilla, B.
• Format: Article
• Language: English
• Subjects: avalanche; Avalanche models; Avalanches; Cold rolling; Cold shearing; Data; Data acquisition; Dilution; Doppler radar; Doppler sonar; Dynamics; Flow; flow regimes; flow transitions; Geophysics; Landslides; Localization; Radar; Radar imaging; radar tracking; Shear zone; Sliding; Slope; Slumping; Snow; Snow avalanches; Surging (ship motion); Temporal resolution; Topography; Topography (geology)
• ISSN: 2169-9003; 2169-9011
• DOI: 10.1002/2017JF004375

GEOphysical flow dynamics using pulsed Doppler radAR (GEODAR), a custom radar system, images avalanches over the entire slope with high spatial and temporal resolution at the experimental test site Vallée de la Sionne in Switzerland. Between winter seasons 2009/2010 and 2014/2015, data have been acquired from 77 avalanches. These data sets describe a wide variety of avalanches, which we classify in terms of seven flow regimes and combinations thereof. These flow regimes expand on previous classifications, with four identifiable dense flow regimes (where interaction between granules and with the flow bed dominates dynamics) and two different dilute flow regimes (where interaction between snow particles and the air becomes dominant). There is a further regime identified where snow balls simply roll down the mountain. A cold dense regime and a warm shear regime behave like noncohesive granular flows with velocity shear throughout the flow. A sliding slab regime and a warm plug regime occur when cohesion dominates and causes the flow units to act as solid‐like objects sliding on a thin shear zone. An intermittent regime connects the cold dense regime with the suspension regime and is characterized by highly fluctuating density and surging activity. GEODAR enables localization of these flow regimes and transitions between them in time and space. We discuss flow regime transitions in terms of snow properties, topography, speed, and size of the avalanches. This paper also serves as a reference for the data set which is made publicly available and should prove to be an invaluable resource for the development of physically based avalanche models. Key Points Snow avalanches exhibit three different stopping mechanisms, and these are primarily controlled by snow temperature GEODAR data are used to identify seven flow regimes which are tracked in time and space Many avalanches contain multiple flow regimes, and transitions between these regimes are common