Results 11 to 20 of about 630,827 (291)
Annals of Glaciology, 1985 Dependence of Kinosita’s hardness R of wet snow on its dry density ρd and free water content W was obtained in the following form where a, b and c are constants. When wet snow was qualitatively classified into two types, I (coarse-grained granular) and II (new and fine-grained compact) and the constants were determined separately for each type, the ...
Kaoru Izumi, Eizi Akitaya
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Adhesion of Wet Snow to Different Cable Surfaces [PDF]
Cohesion of snow and its adhesion to cable surfaces are the decisive factors for wet-snow shedding from power-line cables. Knowing the adhesive strength of snow is essential to predict when snow will shed and what consequences it will have on the elements of the transmission line.
Hefny, Reham +3 more
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Regelation and the Deformation of Wet Snow [PDF]
Journal of Glaciology, 1978 Abstract The thermodynamics of phase equilibrium control the temperature distribution around the ice particles in wet snow. When the snow is stressed, pressure melting occurs at the inter-particle contacts and the snow densifies. Densification is described by a physical model which simulates the heat flow, meltwater flow, and particle
S. C. Colbeck, N. Parssinen
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Analysis of the snow-atmosphere energy balance during wet-snow instabilities and implications for avalanche prediction [PDF]
The Cryosphere, 2013 Wet-snow avalanches are notoriously difficult to predict; their formation mechanism is poorly understood since in situ measurements representing the thermal and mechanical evolution are difficult to perform. Instead, air temperature is commonly used as a
C. Mitterer, J. Schweizer
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Spectral reflectance behavior of different boreal snow types
Journal of Glaciology, 2019 Spectral reflectance of natural snow samples representing various stratigraphies was investigated in a controlled dark laboratory environment. Mean and Std dev.
Henna-Reetta Hannula, Jouni Pulliainen
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Wet-snow avalanche interaction with a deflecting dam: field observations and numerical simulations in a case study [PDF]
Natural Hazards and Earth System Sciences, 2012 In avalanche-prone areas, deflecting dams are widely used to divert avalanches away from endangered objects. In recent years, their effectiveness has been questioned when several large and multiple avalanches have overrun such dams.
B. Sovilla +3 more
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Snow probe for in situ determination of wetness and density [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 1994 The amount of water present in liquid form in a snowpack exercises a strong influence on the radar and radiometric responses of snow. Conventional techniques for measuring the liquid water content m/sub /spl upsi// suffer from various shortcomings, which include poor accuracy, long analysis time, poor spatial resolution, and/or cumbersome and ...
John R. Kendra +2 more
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Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models [PDF]
The CryosphereDistributed energy and mass balance snowpack models at sub-kilometric scale have emerged as a tool for snow-hydrological forecasting over large areas.
B. Cluzet +6 more
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Snow Wetness Retrieved from L-Band Radiometry [PDF]
Remote Sensing, 2018 The present study demonstrates the successful use of the high sensitivity of L-band brightness temperatures to snow liquid water in the retrieval of snow liquid water from multi-angular L-band brightness temperatures. The emission model employed was developed from parts of the “microwave emission model of layered snowpacks” (MEMLS), coupled with ...
Reza Naderpour, Mike Schwank
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Velocity measurements of wet snow avalanche on the Dhundi snow chute [PDF]
Annals of Glaciology, 2010 AbstractWet snow avalanches in India are common during the mid- and late winter in the Pir Panjal Range (2000–3000ma.s.l.) and during the late winter in the Great Himalayan Range (3000 ma.s.l. and above). Although it is well known that the presence of liquid water in snow makes the flow behaviour of wet snow avalanches different from that of dry snow ...
Agraj Upadhyay +2 more
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