Results 81 to 90 of about 1,003 (174)
Simulation of Arctic snow microwave emission in surface-sensitive atmosphere channels [PDF]
Accurate simulations of snow emission in surface-sensitive microwave channels are needed to separate snow from atmospheric information essential for numerical weather prediction.
M. Sandells +9 more
doaj +1 more source
Analysis of QualitySpec Trek Reflectance from Vertical Profiles of Taiga Snowpack
Snow microstructure is an important factor for microwave and optical remote sensing of snow. One parameter used to describe it is the specific surface area (SSA), which is defined as the surface-area-to-mass ratio of snow grains.
Leena Leppänen, Anna Kontu
doaj +1 more source
Tower-based C-band radar measurements of an alpine snowpack [PDF]
To better understand the interactions between C-band radar waves and snow, a tower-based experiment was set up in the Idaho Rocky Mountains for the period of 2021–2023.
I. Brangers +6 more
doaj +1 more source
Current methods for retrieving SWE (snow water equivalent) from space rely on passive microwave sensors. Observations are limited by poor spatial resolution, ambiguities related to separation of snow microstructural properties from the total snow mass ...
Juha Lemmetyinen +9 more
doaj +1 more source
Microstructural characterization of snow compaction related to snow pavements [PDF]
Zoe Courville +3 more
openaire +1 more source
Description of the snow microstructure as a 3D assembly of grains
The concept of snow grain is commonly used in the snow community, either in situ to identify the snow type or in numerical models to reproduce the physical and mechanical behaviour of the snowpack. Among all possible definitions of grains (optical, crystalline and mechanical), we consider mechanical grains as particles separated by potential stress ...
Hagenmuller, P. +5 more
openaire +1 more source
Relationship between snow hardness and microstructure of seasonal snow cover
Hayato ARAKAWA +3 more
openaire +1 more source
Supplementary data for "Revisiting snow settlement with microstructural knowledge"
Description We are releasing the codes, datasets, and results as the supplementary information for our manuscript “Revisiting snow settlement with microstructural knowledge”. 1 Software and code: The code, Amitex FFTP, used to generate the results exposed in this paper is freely available at the address: AMitex_fftp.
Védrine, Louis, Hagenmuller, Pascal
openaire +2 more sources
Percolation threshold for vertical fluid flow through granular sea ice. [PDF]
Golden KM +6 more
europepmc +1 more source
Perceptual consensus on cross-country ski-snow performance: a questionnaire study of experts and non-experts. [PDF]
Kalén A +4 more
europepmc +1 more source

