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Mechanical performance of snow under loadingFukue, Masaharu. January 1977 (has links)
No description available.
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Mechanical performance of snow under loadingFukue, Masaharu. January 1977 (has links)
No description available.
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Snow mechanics : mechanical properties, energy analysisMetaxas, Ioannis J. January 1984 (has links)
No description available.
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Snow mechanics : mechanical properties, energy analysisMetaxas, Ioannis J. January 1984 (has links)
No description available.
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Spatial and temporal analysis of snowpack strength and stability and environmental determinants on an inclined, forest openingLutz, Eric Robert. January 2009 (has links) (PDF)
Thesis (PhD)--Montana State University--Bozeman, 2009. / Typescript. Chairperson, Graduate Committee: Katherine J. Hansen. Includes bibliographical references (leaves 325-338).
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Analytical modelling of the performance of a snow deposit under plate loadingMurcia, A. J. (Armando J.) January 1987 (has links)
No description available.
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Analytical modelling of the performance of a snow deposit under plate loadingMurcia, A. J. (Armando J.) January 1987 (has links)
No description available.
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The Seasonal Predicability of Snowpack Behavior During Spring / The Seasonal Predictability of Snowpack Behavior During SpringJelinek, Mark Thomas 10 July 2007 (has links)
While significant research has been performed in predicting winter snowpack behavior, maximums and extent, no efforts focused on predicting large-scale spring snowpack behavior have produced successful results. Increasing sensitivity to snowpack changes in the areas of water supply, energy production, agriculture, transportation, tourism and safety are making seasonal prediction of snowpack particularly important. The known breakdown of the wintertime relationship between tropospheric dynamics and snow characteristics indicates the need to explore new approaches to seasonal snowpack forecasts for the spring melt season. To examine possible new methods, Northern Hemisphere snow water equivalent and snow cover data from 1980-2004 are used in correlation analysis with traditional climate indices as well as newly defined sea surface temperature and sea ice regions. Additionally, large scale continental and latitude divisions are applied to the snow variables and the impact of ENSO is incorporated into the analysis. Results suggest the following: 1) Both sea ice and sea surface temperatures show promise as seasonal predictors for snowpack; 2) ENSO plays a critical role even though it is represented through indirect relationships; 3) Predicting spring snowpack behavior is feasible.
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