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相关论文: Stochastic interpretations of the oceanic primitiv…

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In this paper, we study how relaxing the classical hydrostatic balance hypothesis affects theoretical aspects of the LU primitive equations well-posedness. We focus on models that sit between incompressible 3D LU Navier-Stokes equations and…

概率论 · 数学 2025-02-21 Arnaud Debussche , Étienne Mémin , Antoine Moneyron

In this paper, we investigate the convergence of solutions of a stochastic representation of the three-dimensional Navier-Stokes equations to those of their primitive equations counterpart. Our analysis covers both weak and strong…

偏微分方程分析 · 数学 2026-02-05 Arnaud Debussche , Étienne Mémin , Antoine Moneyron

The primitive equations are fundamental models in geophysical fluid dynamics and derived from the scaled Navier-Stokes equations. In the primitive equations, the evolution equation to the vertical velocity is replaced by the so-called…

偏微分方程分析 · 数学 2021-09-08 Ken Furukawa , Takahito Kashiwabara

In this paper, we provide rigorous justification of the hydrostatic approximation and the derivation of primitive equations as the small aspect ratio limit of the incompressible three-dimensional Navier-Stokes equations in the anisotropic…

偏微分方程分析 · 数学 2021-06-02 Jinkai Li , Edriss S. Titi , Guozhi Yuan

The primitive equations are derived from the $3D$-Navier-Stokes equations by the hydrostatic approximation. Formally, assuming an $\varepsilon$-thin domain and anisotropic viscosities with vertical viscosity…

偏微分方程分析 · 数学 2025-02-27 Ken Furukawa , Yoshikazu Giga , Matthias Hieber , Amru Hussein , Takahito Kashiwabara , Marc Wrona

In this paper, we establish a moderate deviation principle for an abstract nonlinear equation forced by random noise of L\'evy type. This type of equation covers many hydrodynamical models, including stochastic 2D Navier-Stokes equations,…

概率论 · 数学 2025-02-12 Yue Li , Shijie Shang

This paper is devoted to reviewing several recent developments concerning certain class of geophysical models, including the primitive equations (PEs) of atmospheric and oceanic dynamics and a tropical atmosphere model. The PEs for…

偏微分方程分析 · 数学 2016-04-07 Jinkai Li , Edriss S. Titi

As a first step towards the numerical analysis of the stochastic primitive equations of the atmosphere and oceans, we study their time discretization by an implicit Euler scheme. From deterministic viewpoint the 3D Primitive Equations are…

偏微分方程分析 · 数学 2014-04-14 Nathan Glatt-Holtz , Roger Temam , Chuntian Wang

This article develops the hydrostatic Lagrangian approach to the compressible primitive equations. A fundamental aspect in the analysis is the investigation of the compressible hydrostatic Lam\'{e} and Stokes operators. Local strong…

偏微分方程分析 · 数学 2025-02-07 Matthias Hieber , Yoshiki Iida , Arnab Roy , Tarek Zöchling

In this paper we analyze the theoretical properties of a stochastic representation of the incompressible Navier-Stokes equations defined in the framework of the modeling under location uncertainty (LU). This setup built from a stochastic…

偏微分方程分析 · 数学 2023-02-01 Arnaud Debussche , Berenger Hug , Etienne Memin

This paper presents a joint theoretical and numerical study of a stochastic version of the compressible Navier-Stokes equations within the location uncertainty (LU) framework, applied to problems related to upper ocean vertical mixing. This…

流体动力学 · 物理学 2026-05-22 Gilles Tissot , Étienne Mémin , Quentin Jamet

Two models based on the hydrostatic primitive equa- tions are proposed. The first model is the primitive equations with partial viscosity only, and is oriented towards large-scale wave structures in the ocean and atmosphere. The second…

偏微分方程分析 · 数学 2010-10-22 Qingshan Chen , Max Gunzburger , Xiaoming Wang

The predictability of turbulent flows remains a challenging problem for mathematicians, physicists, and meteorologists. In this context, we consider the 3D incompressible Navier-Stokes equations with small-scale random forcing on…

流体动力学 · 物理学 2025-10-21 Erika Ortiz , Ciro S. Campolina , Alexei A. Mailybaev

We establish the existence and uniqueness of both local martingale and local pathwise solutions of an abstract nonlinear stochastic evolution system. The primary application of this abstract framework is to infer the local existence of…

偏微分方程分析 · 数学 2015-05-19 Arnaud Debussche , Nathan Glatt-Holtz , Roger Temam

In this paper, we present a numerical analysis of the hydrostatic Stokes equations, which are linearization of the primitive equations describing the geophysical flows of the ocean and the atmosphere. The hydrostatic Stokes equations can be…

数值分析 · 数学 2017-09-05 Tomoya Kemmochi

A widely used approach to mathematically describe the atmosphere is to consider it as a geophysical fluid in a shallow domain -- and thus to model it using classical fluid dynamical equations combined with the explicit inclusion of an…

偏微分方程分析 · 数学 2021-12-14 Donatella Donatelli , Nóra Juhász

We establish the existence and uniqueness of solutions to an abstract nonlinear equation driven by a multiplicative noise of L\'evy type, which covers many hydrodynamical models including 2D Navier-Stokes equations, 2D MHD equations, the 2D…

概率论 · 数学 2021-05-11 Xuhui Peng , Juan Yang , Jianliang Zhai

An important feature of the planetary oceanic dynamics is that the aspect ratio (the ratio of the depth to horizontal width) is very small. As a result, the hydrostatic approximation (balance), derived by performing the formal small aspect…

偏微分方程分析 · 数学 2017-06-28 Jinkai Li , Edriss S. Titi

An overview is presented of several diverse branches of work in the area of effectively 2D fluid equilibria which have in common that they are constrained by an infinite number of conservation laws. Broad concepts, and the enormous variety…

流体动力学 · 物理学 2022-12-27 Peter B. Weichman , J. B. Marston

We introduce a family of stochastic models motivated by the study of nonequilibrium steady states of fluid equations. These models decompose the deterministic dynamics of interest into fundamental building blocks, i.e., minimal vector…

概率论 · 数学 2025-05-07 Andrea Agazzi , Jonathan C. Mattingly , Omar Melikechi
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