Anisotropy of seasonal snow measured by polarimetric phase differences in radar time series [PDF]
The snow microstructure, i.e., the spatial distribution of ice and pores, generally shows an anisotropy which is driven by gravity and temperature gradients and commonly determined from stereology or computer tomography.
S. Leinss +5 more
doaj +1 more source
Microstructure-based modeling of snow mechanics: a discrete element approach [PDF]
Rapid and large deformations of snow are mainly controlled by grain rearrangements, which occur through the failure of cohesive bonds and the creation of new contacts. We exploit a granular description of snow to develop a discrete element model based on
P. Hagenmuller, G. Chambon, M. Naaim
doaj +1 more source
Sodankylä manual snow survey program [PDF]
The manual snow survey program of the Arctic Research Centre of the Finnish Meteorological Institute (FMI-ARC) consists of numerous observations of natural seasonal taiga snowpack in Sodankylä, northern Finland.
L. Leppänen +4 more
doaj +1 more source
Enhancing simulations of snowpack properties in land surface models with the Soil, Vegetation and Snow scheme v2.0 (SVS2) [PDF]
Snow microstructure – characterized by density, grain size, grain shape and arrangement – fundamentally determines snowpack macroscopic properties.
V. Vionnet +14 more
doaj +1 more source
Early-stage interaction between settlement and temperature-gradient metamorphism
Snow metamorphism and settlement change the microstructure of a snowpack simultaneously. Past experiments investigated snow deformation under isothermal conditions. In nature, temperature gradient metamorphism and settlement often occur together.
MAREIKE WIESE, MARTIN SCHNEEBELI
doaj +1 more source
The instrumented sample holder Snowbreeder 5 is used to investigate the simultaneous influence of settlement on temperature-gradient snow metamorphism in time-lapse micro-computed tomography experiments.
MAREIKE WIESE, MARTIN SCHNEEBELI
doaj +1 more source
A general treatment of snow microstructure exemplified by an improved relation for thermal conductivity [PDF]
Finding relevant microstructural parameters beyond density is a longstanding problem which hinders the formulation of accurate parameterizations of physical properties of snow.
H. Löwe, F. Riche, M. Schneebeli
doaj +1 more source
Using Ultrasonic Waves to Determine the Microstructure of Snow
Acoustic signals interact with the physical structure of porous media, are particularly sensitive to porosity and tortuosity, and can be used to measure physical properties in a non-destructive manner. Given the fragile nature of freshly fallen snow, non-contact, non-destructive characterization methods made possible via acoustic signals, are desirable.
Ross Lieblappen +5 more
openaire +2 more sources
Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing [PDF]
Seasonal snow cover is the largest single component of the cryosphere in areal extent, covering an average of 46 × 106 km2 of Earth's surface (31 % of the land area) each year, and is thus an important expression and driver of the Earth's climate.
L. Tsang +27 more
doaj +1 more source
Dependence of thermal conductivity of snow on microstructure
A geometrical model, including different geometrical shapes influencing thermal conductivity of snow is proposed. The geometrical model has been assumed to comprise of unit cells having solid (ice) inclusion as an aggregation of spherical, cylindrical or cubical shapes with vertical connection, arranged in a cubic packing.
P. K. Satyawali, A. K. Singh
openaire +2 more sources

