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Related papers: A comprehensive numerical model of wind-blown sand

200 papers

A dry decade in the Navajo Nation has killed vegetation, dessicated soils, and released once-stable sand into the wind. This sand now covers one-third of the Nation's land, threatening roads, gardens and hundreds of homes. Many arid regions…

Machine Learning · Computer Science 2019-12-24 Kelly Kochanski , Divya Mohan , Jenna Horrall , Barry Rountree , Ghaleb Abdulla

We address whether complex physical relations can be investigated through the synergy of automated high-volume experiments and the reduction of large datasets to a concise, representative subset of canonical examples -- a "textbook". To…

Fluid Dynamics · Physics 2026-02-13 Paolo Olivucci , David E. Rival

Action of solar wind on arbitrarily shaped interplanetary dust particle is investigated. The final relativistically covariant equation of motion of the particle contains both orbital evolution and change of particle's mass. Non-radial solar…

Earth and Planetary Astrophysics · Physics 2009-04-20 J. Klacka , J. Petrzala , P. Pastor , L. Komar

The collision of a spherical grain with a granular bed is commonly parametrized by the splash function, which provides the velocity of the rebounding grain and the velocity distribution and number of ejected grains. Starting from elementary…

Soft Condensed Matter · Physics 2017-05-30 Marc Lämmel , Kamil Dzikowski , Luc Oger , Alexandre Valance , Klaus Kroy

We employ a novel computational modeling framework to perform high-fidelity direct numerical simulations of aero-structural interactions in bat-inspired membrane wings. The wing of a bat consists of an elastic membrane supported by a highly…

Fluid Dynamics · Physics 2025-04-09 Sushrut Kumar , Jung-Hee Seo , Rajat Mittal

Dust storms are associated with certain respiratory illnesses across different areas in the world. Researchers have devoted time and resources to study the elements surrounding dust storm phenomena. This paper reviews the efforts of those…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Nurul Rafi , Pablo Rivas

We describe a numerical scheme for magnetohydrodynamics simulations of dust-gas mixture by extending smoothed particle magnetohydrodynamics. We employ the single-species particle approach to describe dust-gas mixture with several…

Astrophysics of Galaxies · Physics 2021-06-18 Y. Tsukamoto , M. N. Machida , S. Inutsuka

Snow is a crucial element of the sea ice system, affecting sea ice growth and decay due to its low thermal conductivity and high albedo. Despite its importance, present-day climate models have an idealized representation of snow, often…

Atmospheric and Oceanic Physics · Physics 2024-09-13 Ayush Prasad , Ioanna Merkouriadi , Aleksi Nummelin

Wind topographically forced by hills and sand dunes accelerates on the upwind (stoss) slopes and reduces on the downwind (lee) slopes. This secondary wind regime, however, possesses a subtle effect, reported here for the first time from…

Soft Condensed Matter · Physics 2015-06-05 P. Claudin , G. F. S. Wiggs , B. Andreotti

Generated under hurricane conditions, a slip layer composed of foam, bubble emulsion, and spray determines the behavior of the surface drag with wind speed. This study enables us to estimate foam's contribution to this behavior. A…

Atmospheric and Oceanic Physics · Physics 2024-04-29 Ephim Golbraikh , Yuri M. Shtemler

We propose a model to study the spatiotemporal dynamics of biocrust and vegetation cover on sand dunes. The model consists of two coupled partial nonlinear differential equations and includes diffusion and advection terms for modeling the…

Pattern Formation and Solitons · Physics 2022-05-18 Hezi Yizhaq , Yosef Ashkenazy

To understand the earliest stages of planet formation, it is crucial to be able to predict the rate and the outcome of dust grains collisions, be it sticking and growth, bouncing, or fragmentation. The outcome of such collisions depends on…

Earth and Planetary Astrophysics · Physics 2015-06-05 Alexander Hubbard

Aims. We present the implementation of the treatment of particle ejection and dust nucleation in the smoothed particle hydrodynamics (SPH) code phantom. These developments represent the first step toward a more complete modeling of…

Solar and Stellar Astrophysics · Physics 2022-11-09 L. Siess , W. Homan , S. Toupin , D. J. Price

We present a method for simulating the dynamics of a mixture of gas and multiple species of large Stokes number dust grains, typical of evolved protoplanetary discs and debris discs. The method improves upon earlier methods, in which only a…

Earth and Planetary Astrophysics · Physics 2020-10-27 Daniel Mentiplay , Daniel J. Price , Christophe Pinte , Guillaume Laibe

The results of an analysis of the physics of levitation of negatively charged dust particles over a surface (wall) in an inverse sheath are reported. It is shown that under suitable parameter regime, the ion-drag force may balance the…

Earth and Planetary Astrophysics · Physics 2018-10-30 Rinku Deka , Madhurjya P Bora

Fluidisation is the process by which the weight of a bed of particles is supported by a gas flow passing through it from below. When fluidised materials flow down an incline, the dynamics of the motion differ from their non-fluidised…

Fluid Dynamics · Physics 2017-10-11 D. E. Jessop , A. J. Hogg , M. A. Gilbertson , C. Schoof

We model formation and evolution of transverse dune fields. In the model, only the cross section of the dune is simulated. The only physical variable of relevance is the dune height, from which the dune width and velocity are determined, as…

Statistical Mechanics · Physics 2007-05-23 J. H. Lee , A. O. Sousa , E. J. R. Parteli , H. J. Herrmann

The water circulation in the Soil-Plant-Atmosphere continuum and particularly the soil erosion induced by water are problems of main concern in the new era of climate change. The present paper aims to provide a mathematical tool to…

Fluid Dynamics · Physics 2024-08-23 Stelian Ion , Dorin Marinescu , Stefan-Gicu Cruceanu

Deep learning has revolutionized weather forecasting, but many challenges remain, including climate modeling. Moreover, the current landscape remains fragmented: highly specialized models are typically trained individually for distinct…

Machine Learning · Computer Science 2026-05-20 Michael Aich , Andreas Fürst , Florian Sestak , Carlos Ruiz-Gonzalez , Niklas Boers , Johannes Brandstetter

We present a framework for inference for spatial processes that have actual values imperfectly represented by data. Environmental processes represented as spatial fields, either at fixed time points, or aggregated over fixed time periods,…

Methodology · Statistics 2016-09-27 Benjamin D. Youngman , David B. Stephenson