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Journal ArticleDOI

Hamiltonian particle-mesh simulations for a non-hydrostatic vertical slice model

Seoleun Shin, +1 more
- 01 Oct 2009 - 
- Vol. 10, Iss: 4, pp 233-240
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TLDR
In this paper, a Lagrangian particle method is developed for the simulation of atmospheric flows in a non-hydrostatic vertical slice model, which provides preservation of mass, momentum, and energy.
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This article is published in Atmospheric Science Letters.The article was published on 2009-10-01. It has received 10 citations till now. The article focuses on the topics: Particle Mesh & Meshfree methods.

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Citations
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Journal ArticleDOI

Impacts of upwind wildfire emissions on CO, CO2, and PM2.5 concentrations in Salt Lake City, Utah

TL;DR: In this paper, the locations of wildfire-derived emissions and their aggregate impacts on Salt Lake City, a major urban center downwind of the fires were determined by an ensemble of stochastic back trajectories within the Stochastic Time-Inverted Lagrangian Transport (STILT) model, driven by wind fields from the Weather Research and Forecasting (WRF) model.
Journal ArticleDOI

An inherently mass‐conserving iterative semi‐implicit semi‐Lagrangian discretization of the non‐hydrostatic vertical‐slice equations

TL;DR: In this paper, an inherently mass-conserving semi-Lagrangian transport scheme has been successfully coupled to an iterative semi-implicit scheme in a global shallow-water-equation (SWE) model, where the constant reference state of the SWE model is now replaced by a vertically varying reference state.
Journal ArticleDOI

Statistical relevance of vorticity conservation in the Hamiltonian particle-mesh method

TL;DR: In this paper, the statistical mean vorticity field of the discretization of ideal fluid flow is determined using a Hamiltonian particle-mesh method. But the simulation results are in excellent agreement with the theoretical models, as well as with the continuum statistical mechanical theory developed by Ellis et al.
Journal ArticleDOI

Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model

TL;DR: In this article, a backward-Lagrangian particle dispersion model coupled with a dust emission model was used to simulate wind-blown dust events along the Wasatch Front.

Statistical relevance of vorticity conservation with the Hamiltonian particle-mesh method

TL;DR: Long-time simulations with a Hamiltonian particle-mesh method for ideal fluid flow verify that the apparently trivial conservation of potential vorticity along particle paths within the HPM method significantly influences the mean state.
References
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Book

A practical guide to splines

Carl de Boor
TL;DR: This book presents those parts of the theory which are especially useful in calculations and stresses the representation of splines as linear combinations of B-splines as well as specific approximation methods, interpolation, smoothing and least-squares approximation, the solution of an ordinary differential equation by collocation, curve fitting, and surface fitting.
Journal ArticleDOI

A numerical approach to the testing of the fission hypothesis.

L.B. Lucy
TL;DR: A finite-size particle scheme for the numerical solution of two-and three-dimensional gas dynamical problems of astronomical interest is described and tested in this article, which is then applied to the fission problem for optically thick protostars.
BookDOI

Plasma physics via computer simulation

TL;DR: In this article, the authors describe the theoretical effects of the spatial grid, energy-conserving simulation models, multipole models, and Kinetic theory for fluctuations and noise collisions.
BookDOI

Numerical methods for wave equations in geophysical fluid dynamics

TL;DR: In this paper, the authors derived two fundamental theorems of finite-difference methods: finite difference methods beyond Scalar Wave Equations (SFE) and finite volume methods.
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