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Related papers: Full-depth snow avalanches

200 papers

Weather forecasting remains a crucial yet challenging domain, where recently developed models based on deep learning (DL) have approached the performance of traditional numerical weather prediction (NWP) models. However, these DL models,…

Atmospheric and Oceanic Physics · Physics 2024-02-13 Zhanxiang Hua , Yutong He , Chengqian Ma , Alexandra Anderson-Frey

A general procedure is outlined which allows one to construct superintegrable models of Winternitz type. Some examples are presented.

High Energy Physics - Theory · Physics 2009-11-07 C. Gonera , P. Kosinski , P. Maslanka

We present exact solutions of the non-linear {\sc bcre} model for granular avalanches without diffusion. We assume a generic sandpile profile consisting of two regions of constant but different slope. Our solution is constructed in terms of…

Statistical Mechanics · Physics 2009-10-31 Thorsten Emig , Philippe Claudin , Jean-Philippe Bouchaud

Snow poles are inexpensive systems composed of a wooden mast with temperature sensors affixed at varying heights with the purpose of estimating the snow depth. They are frequently utilised in cold, remote regions where the maintenance of…

Atmospheric and Oceanic Physics · Physics 2024-04-03 Diego García-Maroto , Luis Durán , Miguel Ángel de Pablo Hernández

We investigate the effects of temperature variance, grain size variation, flow regimes, and the use of Support Vector Machines (SVMs) in avalanche studies. The temperature variance experiments involved ice single crystals and polycrystals,…

Geophysics · Physics 2023-10-10 Aditya Sharma

After briefly touching on relativistic hydrodynamics, we provide a detailed description of recent developments in spin hydrodynamics. We discuss the theory of perfect spin hydrodynamics within two different approaches, which lead to…

High Energy Physics - Phenomenology · Physics 2026-01-22 Samapan Bhadury , Zbigniew Drogosz , Wojciech Florkowski , Valeriya Mykhaylova

We explore a novel method to generate and characterize complex networks by means of their embedding on hyperbolic surfaces. Evolution through local elementary moves allows the exploration of the ensemble of networks which share common…

Statistical Mechanics · Physics 2007-09-19 T. Aste , T. Di Matteo , S. T. Hyde

We study the two-dimensional Abelian Sandpile Model on a square lattice of linear size L. We introduce the notion of avalanche's fine structure and compare the behavior of avalanches and waves of toppling. We show that according to the…

Statistical Mechanics · Physics 2015-05-13 Amir Abdolvand , Afshin Montakhab

The death toll and monetary damages from landslides continue to rise despite advancements in predictive modeling. The predictive capability of these models is limited as landslide databases used in training and assessing the models often…

Machine Learning · Computer Science 2023-10-17 Kamal Rana , Kushanav Bhuyan , Joaquin Vicente Ferrer , Fabrice Cotton , Ugur Ozturk , Filippo Catani , Nishant Malik

In this paper geology and planetology are considered using new conceptual basis of high-speed flow dynamics. Recent photo technics allow to see all details of a flow, 'cause the flow is static during very short time interval. On the other…

General Physics · Physics 2011-04-20 Yu. N. Bratkov

Monitoring large scale environments is a crucial task for managing remote alpine environments, especially for hazardous events such as avalanches. One key information for avalanche risk forecast is imagery of released avalanches. As these…

Robotics · Computer Science 2024-05-06 Jaeyoung Lim , Florian Achermann , Nicholas Lawrance , Roland Siegwart

Time series resulting from wave decomposition show the existence of different correlation patterns for avalanche dynamics. For the d=2 Bak-Tang-Wiesenfeld model, long range correlations determine a modification of the wave size distribution…

Statistical Mechanics · Physics 2009-10-31 Mario De Menech , Attilio L. Stella

The nonlinear dynamics associated with sliding friction forms a broad interdisciplinary research field that involves complex dynamical processes and patterns covering a broad range of time and length scales. Progress in experimental…

Soft Condensed Matter · Physics 2016-06-02 N. Manini , O. M. Braun , E. Tosatti , R. Guerra , A. Vanossi

Gravity-driven thick granular flows are relevant to many industrial and geophysical processes. In particular, it is important to know and understand the particle velocity distributions as we get deeper into the flow from the free surface.…

Soft Condensed Matter · Physics 2015-12-15 Etien Martinez , Oscar Sotolongo-Costa , Alfo Jose Batista-Leyva , Ernesto Altshuler

Jointly harnessing complementary features of multi-modal input data in a common latent space has been found to be beneficial long ago. However, the influence of each modality on the models decision remains a puzzle. This study proposes a…

Computer Vision and Pattern Recognition · Computer Science 2023-04-06 Burak Ekim , Michael Schmitt

Complex fission phenomena are studied in a unified way. Very general reflection asymmetrical equilibrium (saddle point) nuclear shapes are obtained by solving an integro-differential equation without being necessary to specify a certain…

Nuclear Theory · Physics 2009-11-10 D. N. Poenaru , R. A. Gherghescu , W. Greiner

In this study, we compare two analytic energy balance models with explicit dependence on obliquity to study the likelihood of different stable ice configurations. We compare the results of models with different methods of heat transport and…

Earth and Planetary Astrophysics · Physics 2022-03-21 Ekaterina Landgren , Alice Nadeau

Generalized hydrodynamics (GHD) was proposed recently as a formulation of hydrodynamics for integrable systems, taking into account infinitely-many conservation laws. In this note we further develop the theory in various directions. By…

Statistical Mechanics · Physics 2017-05-24 Benjamin Doyon , Takato Yoshimura

Elastic systems, such as magnetic domain walls, density waves, contact lines, and cracks, are all pinned by substrate disorder. When driven, they move via successive jumps called avalanches, with power law distributions of size, duration…

Disordered Systems and Neural Networks · Physics 2015-06-22 Alexander Dobrinevski , Pierre Le Doussal , Kay Jörg Wiese

We discuss two athermal types of dynamics suitable for spin-models designed to model repeated tapping of a granular assembly. These dynamics are applied to a range of models characterised by a 3-spin Hamiltonian aiming to capture the…

Disordered Systems and Neural Networks · Physics 2016-11-23 Johannes Berg , Anita Mehta