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We present a machine learning framework that blends image super-resolution technologies with passive, scalar transport in the level-set method. Here, we investigate whether we can compute on-the-fly, data-driven corrections to minimize…

机器学习 · 计算机科学 2022-09-29 Luis Ángel Larios-Cárdenas , Frédéric Gibou

A discrete analysis of the phase and dissipation errors of an explicit, semi-Lagrangian spectral element method is performed. The semi-Lagrangian method advects the Lagrange interpolant according the Lagrangian form of the transport…

数值分析 · 数学 2023-02-08 Gustaaf B. Jacobs , Hareshram Natarajan , Pavel Popov , David A. Kopriva

Efficient transport algorithms are essential to the numerical resolution of incompressible fluid flow problems. Semi-Lagrangian methods are widely used in grid based methods to achieve this aim. The accuracy of the interpolation strategy…

计算物理 · 物理学 2016-06-21 Alexandre Cameron , Raphaël Raynaud , Emmanuel Dormy

We develop a third-order conservative semi-Lagrangian discontinuous Galerkin (SLDG) scheme for solving linear transport equations on curvilinear unstructured triangular meshes, tailored for complex geometries. To ensure third-order spatial…

数值分析 · 数学 2025-11-14 Xiaofeng Cai , Yibing Chen , Kunkai Fu , Liujun Pan

We introduce a new framework of numerical multiscale methods for advection-dominated problems motivated by climate sciences. Current numerical multiscale methods (MsFEM) work well on stationary elliptic problems but have difficulties when…

计算工程、金融与科学 · 计算机科学 2019-05-28 Konrad Simon , Jörn Behrens

We present a hybrid particle/grid approach for simulating incompressible fluids on collocated velocity grids. We interchangeably use particle and grid representations of transported quantities to balance efficiency and accuracy. A novel…

We develop a numerical scheme for solving the advection equation of $\mathbb{S}^2$-valued functions of real variables, which models the time-evolution of a $\mathbb{S}^2$-valued mapping on the real line by a known velocity field. The idea…

数值分析 · 数学 2026-04-09 Shingyu Leung

We describe the remapped particle-mesh method, a new mass-conserving method for solving the density equation which is suitable for combining with semi-Lagrangian methods for compressible flow applied to numerical weather prediction. In…

大气与海洋物理 · 物理学 2009-11-13 Colin J. Cotter , Jason Frank , Sebastian Reich

Semi-Lagrangian (SL) schemes are known as a major numerical tool for solving transport equations with many advantages and have been widely deployed in the fields of computational fluid dynamics, plasma physics modeling, numerical weather…

数值分析 · 数学 2023-08-09 Yongsheng Chen , Wei Guo , Xinghui Zhong

We propose a second order, fully semi-Lagrangian method for the numerical solution of systems of advection-diffusion-reaction equations, which employs a semi-Lagrangian approach to approximate in time both the advective and the diffusive…

数值分析 · 数学 2020-02-12 Luca Bonaventura , Elisabetta Carlini , Elisa Calzola , Roberto Ferretti

Semi-Lagrangian schemes have proven to be very efficient to model advection problems. However most semi-Lagrangian schemes are not conservative. Here, a systematic method is introduced in order to enforce the conservative property on a…

流体动力学 · 物理学 2016-09-19 Alexandre Cameron , Emmanuel Dormy

In this paper we study the error propagation of numerical schemes for the advection equation in the case where high precision is desired. The numerical methods considered are based on the fast Fourier transform, polynomial interpolation…

数值分析 · 数学 2017-01-06 Lukas Einkemmer , Alexander Ostermann

Many interfacial phenomena in physical and biological systems are dominated by high order geometric quantities such as curvature. Here a semi-implicit method is combined with a level set jet scheme to handle stiff nonlinear advection…

数值分析 · 数学 2016-08-22 Guhan Velmurugan , Ebrahim M. Kolahdouz , David Salac

Dimensionally split advection schemes are attractive for atmospheric modelling due to their efficiency and accuracy in each spatial dimension. Accurate long time-steps can be achieved without significant cost using the flux-form…

数值分析 · 数学 2017-01-25 Yumeng Chen , Hilary Weller , Stephen Pring , James Shaw

Semi-Lagrangian (SL) schemes are highly efficient for simulating transport equations and are widely used across various applications. Despite their success, designing genuinely multi-dimensional and conservative SL schemes remains a…

数值分析 · 数学 2024-05-06 Yongsheng Chen , Wei Guo , Xinghui Zhong

Lagrangian trajectory or particle dispersion models as well as semi-Lagrangian advection schemes require meteorological data such as wind, temperature and geopotential at the exact spatio-temporal locations of the particles that move…

大气与海洋物理 · 物理学 2022-06-09 Rüdiger Brecht , Lucie Bakels , Alex Bihlo , Andreas Stohl

This article is devoted to the construction of a new class of semi-Lagrangian (SL) schemes with implicit-explicit (IMEX) Runge-Kutta (RK) time stepping for PDEs involving multiple space-time scales. The semi-Lagrangian (SL) approach fully…

数值分析 · 数学 2021-07-16 Walter Boscheri , Maurizio Tavelli , Lorenzo Pareschi

We present a new numerical method for transporting arbitrary sets in a velocity field. The method computes a deformation mapping of the domain and advects particular sets by function composition with the map. This also allows for the…

数值分析 · 数学 2019-12-06 Olivier Mercier , Xi-Yuan Yin , Jean-Christophe Nave

We present a parametric family of semi-implicit second order accurate numerical methods for non-conservative and conservative advection equation for which the numerical solutions can be obtained in a fixed number of forward and backward…

数值分析 · 数学 2023-12-01 Peter Frolkovič , Svetlana Krišková , Michaela Rohová , Michal Žeravý

A positivity-preserving conservative semi-Lagrangian transport model by multi-moment finite volume method has been developed on the cubed-sphere grid. In this paper, two kinds of moments, i.e. point values (PV moment) at cell boundaries and…

大气与海洋物理 · 物理学 2020-04-14 Jie Tang , Chungang Chen , Xueshun Shen , Feng Xiao , Xingliang Li
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