Results 61 to 70 of about 515,079 (210)
Study of a temperature gradient metamorphism of snow from 3-D images: time evolution of microstructures, physical properties and their associated anisotropy [PDF]
The Cryosphere, 2014 We carried out a study to monitor the time evolution of microstructural and physical properties of snow during temperature gradient metamorphism: a snow slab was subjected to a constant temperature gradient in the vertical direction for 3 weeks in a cold
N. Calonne +4 more
doaj +1 more source
Effect of snow microstructure variability on Ku-band radar snow water equivalent retrievals [PDF]
The Cryosphere, 2019 Abstract. Spatial variability in snowpack properties negatively impacts our capacity to make direct measurements of snow water equivalent (SWE) using satellites. A comprehensive data set of snow microstructure (94 profiles at 36 sites) and snow layer thickness (9000 vertical profiles across 9 trenches) collected over two winters at Trail Valley Creek ...
Nick Rutter +12 more
openaire +5 more sources
Sensitivity of Spatial Snowmelt Simulations to Radiative Forcing and Model Top Layer Thickness
Water Resources Research, Volume 62, Issue 8, August 2026.Abstract Hydrologic models applied in snow‐dominated basins are typically evaluated by comparing simulated outputs, such as snow water equivalent and streamflow, with observations. However, this approach may overlook the energy balance aspect of snow modeling. Snowmelt initiation and rate are primarily determined by the net energy balance, which varies
Nicoleta C. Cristea +1 more
wiley +1 more source
Spatio-temporal influence of tundra snow properties on Ku-band (17.2 GHz) backscatter [PDF]
, 2015 During the 2010/11 boreal winter, a distributed set of backscatter measurements was collected using a ground-based Ku-band (17.2 GHz) scatterometer system at 26 open tundra sites.
King, Joshua +7 more
core +1 more source
What SAR Labels Hide About a Changing Arctic
Earth's Future, Volume 14, Issue 8, August 2026.Abstract Synthetic aperture radar (SAR) has been the backbone of Arctic sea ice monitoring since the 1990s, yet nearly every operational product that assigns an ice class or geophysical state (melt onset dates, freeze‐up timing, ice‐type classifications) is derived by compressing continuous radar backscatter into discrete categorical labels.
M. Mahmud
wiley +1 more source
Michael Snow : Souffle solaire = Michael Snow : Solar Breath [PDF]
, 2005 "This booklet contains a text by the artist along with a letter to him from Louise Déry on the subject of his Solar Breath (Northern Caryatids), executed in 2002.
Snow, Michael, Déry, Louise
core +1 more source
Frontiers 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
Wind enhances differential air advection in surface snow at sub-meter scales [PDF]
The 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
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Snow on sea ice modulates the Earth's radiation budget and sea ice mass balance, yet satellite retrievals of Arctic snow depth remain subject to substantial algorithmic uncertainty. We develop a multi‐model machine learning (ML) framework for retrieving spring snow depth over Arctic sea ice from Advanced Microwave Scanning Radiometer 2 (AMSR2).
Yi Zhou +6 more
wiley +1 more source
Soil erosion by snow gliding - a first quantification attempt in a subalpine area in Switzerland [PDF]
, 2014 Snow processes might be one important driver of soil erosion in Alpine grasslands and thus the unknown variable when erosion modelling is attempted.
Mabit, L. +5 more
core +1 more source