Results 81 to 90 of about 934,243 (233)

Presenting Snow Grain Size and Shape Distributions in Northern Canada Using a New Photographic Device Allowing 2D and 3D Representation of Snow Grains

open access: yesFrontiers in Earth Science, 2020
Geophysical properties of snow are known to be sensitive to climate variability and are of primary importance for hydrological and climatological process simulations.
Alexandre Langlois   +7 more
doaj   +1 more source

Size scaling of strength in thin film delamination

open access: yes, 2011
We investigate by numerical simulation the system size dependence of the shear delamination strength of thin elastic films. The films are connected to a rigid substrate by a disordered interface containing a pre-existing crack. The size dependence of the
Alava M J   +4 more
core   +1 more source

Concentrations and snow-atmosphere fluxes of reactive nitrogen at Summit, Greenland [PDF]

open access: yes, 1999
Concentrations and fluxes of NOy (total reactive nitrogen), ozone concentrations and fluxes of sensible heat, water vapor, and momentum were measured from May 1 to July 20, 1995 at Summit, Greenland. Median NOy concentrations declined from 947 ppt in May
Colman, A S   +4 more
core   +2 more sources

Influence of Microstructure on Mechanical Properties of Snow

open access: yesDefence Science Journal, 1995
Snow, being composed of ice grains of varying shapes, sizes, orientations, etc., has been treated as a particulate material. The mechanical properties of snow have been described in terms of microstructural parameters. A set of variables, which characterise the microstructure of snow at the granular level, has been chosen and quantified following ...
K.C. Agrawal, R.K. Mittal
openaire   +1 more source

Testing the Strength of Buried Surface Hoar Weak Layers Under Combined Compression and Shear Loading

open access: yesGeophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract We experimentally determined the multiaxial strength of weak layers of buried surface hoar using displacement‐controlled tests under combined normal and shear loading on a custom testing machine. We tested 63 samples from three different weak layers, with strengths ranging from 1 to 10 kPa with considerable scattering. While shear strength was
Jakob Schöttner   +7 more
wiley   +1 more source

Wind enhances differential air advection in surface snow at sub-meter scales [PDF]

open access: yesThe Cryosphere, 2017
Atmospheric pressure gradients and pressure fluctuations drive within-snow air movement that enhances gas mobility through interstitial pore space.
S. A. Drake, J. S. Selker, C. W. Higgins
doaj   +1 more source

On the Influence of Mineral Dust on Glacial Albedo at Nevado Huascarán (Cordillera Blanca, Peru)

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract In addition to warming and hydrological changes, glacier retreat is influenced by mineral dust and other light absorbing impurities. However, very little is known about the presence of mineral dust in the tropical Andes, making it difficult to model the radiative impact of dust on glacial surfaces.
Austin M. Weber   +6 more
wiley   +1 more source

Microorganisms Associated With Dust on Alpine Snow

open access: yesFrontiers in Earth Science, 2020
We investigated snow microstructure and microbial composition from snow samples collected from western Colorado, a region that experiences frequent dust-on-snow deposition events.
Zoe R. Courville   +11 more
doaj   +1 more source

Simulation of current transients through ultrathin gate oxides during plasma etching [PDF]

open access: yes, 1997
Monte Carlo simulations of electron tunneling through a 3 nm gate oxide during etching of dense patterns of gate electrodes in uniform high-density plasmas reveal two current transients, which occur: (a) when the open area clears, and (b) when the ...
Giapis, Konstantinos P.   +1 more
core   +1 more source

Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
Implementation of deterministic and probabilistic regression algorithms on an additive manufacturing dataset for prediction of dimensional accuracy—difference from target (DFT), which is the dimensional deviation of a manufactured part from a reference computer‐aided design geometry.
Dipayan Sanpui   +4 more
wiley   +1 more source

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