Results 191 to 200 of about 186,325 (230)

Physics-Based Models of Snow

1991
This chapter is a review of current physics-based techniques for modeling snowmelt. Mixture theory is used to develop the equations of conservation of mass, momentum and energy for snow treated as a two-component, three-phase mixture of ice, water, water vapor, and air.
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Avalanche Forecasting and Snow Physics

1987
Avalanche forecasting is both an operational task in alpine countries and a matter of research for snow physicists, A description is given of the main processes involved in seasonal snowcover evolution, and some critical factors for avalanche release are pointed out.
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The Potential for Estimating Snow Depth With QuikScat Data and a Snow Physical Model

IEEE Geoscience and Remote Sensing Letters, 2017
Active microwave remote sensing is a promising tool for global snow water equivalent (SWE) mapping. However, many studies have shown that more information is needed to estimate the SWE accurately. A very important problem is characterizing the snow grain size and quantitatively separating the effects of grain size and snow mass on the backscattering ...
Chuan Xiong, Jiancheng Shi
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Dust and Black Carbon size distributions in snow and some links to snow physics.

2020
<p><span>Snow contain many insoluble particles, some of which can absorb light (such as mineral dust and black carbon) and are responsible for a large climate forcing, both directly through their influence on snow albedo and indirectly by inducing snow metamorphism – albedo feedbacks.</span& ...
Didier Voisin, Julien Witwicky, François Tuzet, Dimitri Osmont, Marie Dumont   +4 more
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The potential of estimating snow depth from QuikScat scatterometer data and snow physical model

2016 Progress in Electromagnetic Research Symposium (PIERS), 2016
Active microwave remote sensing is a promising tool for global snow water equivalent mapping. However, many studies have shown that extra information is needed to estimate the snow water equivalent accurately. The most important problem is to characterize the snow grain size and to quantitatively separate the effect of grain size and snow mass on ...
null Chuan Xiong, null Jiancheng Shi, null Yurong Cui   +2 more
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Aeolian snow transport induces airborne snow metamorphism with implications for snowpack physical properties

Aeolian transport of snow is a cryospheric process prevalent in all snow-covered areas. It influences the energy and mass balance of these cold regions. Apart from the direct effects during the process, aeolian transport alters the snow’s microstructure, leaving behind a wind-blown snow layer with different snowpack characteristics than ...
Sonja Wahl, Benjamin Walter, Franziska Aemisegger, Luca Bianchi, Michael Lehning   +4 more
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New horizons for fundamental physics with LISA

Living Reviews in Relativity, 2022
K g Arun, Emanuele Berti, Gianfranco Bertone   +2 more
exaly  

Physical Modeling of Snow-Air Flow

2022
Victor Glotov, Nikita Glotov
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Learning Snow Layer Thickness Through Physics Defined Labels

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022
Debvrat Varshney, Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar   +3 more
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Machine learning in the search for new fundamental physics

Nature Reviews Physics, 2022
Georgia Karagiorgi, Scott Kravitz, Benjamin Nachman   +2 more
exaly