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相关论文: Global Well-posedness for the Primitive Equations …

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We study a moisture model for warm clouds that has been used by Klein and Majda as a basis for multiscale asymptotic expansions for deep convective phenomena. These moisture balance equations correspond to a bulk microphysics closure in the…

偏微分方程分析 · 数学 2017-10-11 Sabine Hittmeir , Rupert Klein , Jinkai Li , Edriss S. Titi

In this work we study the global solvability of moisture dynamics with phase changes for warm clouds. We thereby in comparison to previous studies [Hittmeir-Klein-Li-Titi (2017)] take into account the different gas constants for dry air and…

偏微分方程分析 · 数学 2023-06-21 Sabine Hittmeir , Rupert Klein , Jinkai Li , Edriss S. Titi

In this work, we study a phase transition model in atmospheric dynamics, inspired by the works [6,14,15], which analyze the primitive equations governing the evolution of velocity, temperature, and specific humidity. The main difficulty…

偏微分方程分析 · 数学 2026-05-13 Giada Cianfarani Carnevale , Donatella Donatelli , Stefano Spirito

In order to find a better physical model to describe the large-scale cloud-water transformation and rainfall, we consider a moist atmosphere model consisting of the primitive equations with only horizontal viscosity in the dynamic equation…

偏微分方程分析 · 数学 2022-10-13 Shenyang Tan , Wenjun Liu

A modification of the classical primitive equations of the atmosphere is considered in order to take into account important phase transition phenomena due to air saturation and condensation. We provide a mathematical formulation of the…

偏微分方程分析 · 数学 2015-06-19 Michele Coti Zelati , Aimin Huang , Igor Kukavica , Roger Temam , Mohammed Ziane

It is shown that a model coupling the heat-conducting compressible Navier-Stokes equations to a micro-physics model of moisture in air is locally strongly well-posed for large data in suitable function spaces and strongly well-posed on…

偏微分方程分析 · 数学 2026-03-16 Felix Brandt , Matthias Hieber , Lin Ma , Tarek Zöchling

We establish here the local-in-time well-posedness of strong solutions with large initial data to a system coupling compressible atmospheric dynamics with a refined moisture model introduced in Hittmeir and Klein (Theor. Comput. Fluid Dyn.…

偏微分方程分析 · 数学 2024-08-29 Sabine Doppler , Rupert Klein , Xin Liu , Edriss Titi

The three--dimensional incompressible viscous Boussinesq equations, under the assumption of hydrostatic balance, govern the large scale dynamics of atmospheric and oceanic motion, and are commonly called the primitive equations. To overcome…

偏微分方程分析 · 数学 2010-10-27 Chongsheng Cao , Edriss S. Titi

In this paper we prove the global existence and uniqueness (regularity) of strong solutions to the three-dimensional viscous primitive equations, which model large scale ocean and atmosphere dynamics.

偏微分方程分析 · 数学 2007-05-23 Chongsheng Cao , Edriss S. Titi

The moist shallow water equations offer a promising route for advancing understanding of the coupling of physical parametrisations and dynamics in numerical atmospheric models, an issue known as 'physics-dynamics coupling'. Without moist…

数值分析 · 数学 2025-05-15 Nell Hartney , Thomas M. Bendall , Jemma Shipton

In this paper, we consider the 3D primitive equations of oceanic and atmospheric dynamics with only horizontal eddy viscosities in the horizontal momentum equations and only vertical diffusivity in the temperature equation. Global…

偏微分方程分析 · 数学 2017-03-08 Chongsheng Cao , Jinkai Li , Edriss S. Titi

In this paper, we consider a nonlinear interaction system between the barotropic mode and the first baroclinic mode of the tropical atmosphere with moisture; that was derived in [Frierson, D.M.W.; Majda, A.J.; Pauluis, O.M.: Dynamics of…

偏微分方程分析 · 数学 2016-08-24 Jinkai Li , Edriss S. Titi

We deal with asymptotic analysis for the derivation of partial differential equation models for geophysical flows in the earth's atmosphere with moist process closures, and we study their mathematical properties. Starting with the…

数学物理 · 物理学 2025-06-18 Daniel Bäumer , Rupert Klein , Norbert J. Mauser

The atmospheric circulation models are deduced from the very complex atmospheric circulation models based on the actual background and meteorological data. The models are able to show features of atmospheric circulation and are easy to be…

偏微分方程分析 · 数学 2015-01-09 Hong Luo

Irreversible processes play a major role in the description and prediction of atmospheric dynamics. In this paper, we present a variational derivation of the evolution equations for a moist atmosphere with rain process and subject to the…

数学物理 · 物理学 2018-04-27 François Gay-Balmaz

This article discussesl a few of the problems that arise in geophysical fluid dynamics and climate that are associated with the presence of moisture in the air, its condensation and release of latent heat. Our main focus is Earth's…

大气与海洋物理 · 物理学 2020-06-14 Geoffrey K. Vallis

The diffuse medium in and around galaxies can exist in a multi-phase state: small, cold gas clouds contributing significantly to the total mass embedded in pressure equilibrium with a hotter, more diffuse volume-filling component. Modeling…

星系天体物理 · 物理学 2022-12-28 Rainer Weinberger , Lars Hernquist

This paper is concerned with the three-dimensional equations of a simplified hydrodynamic flow modeling the motion of compressible, nematic liquid crystal materials. The authors establish the global existence of classical solution to the…

偏微分方程分析 · 数学 2012-04-24 Jing Li , Zhonghai Xu , Jianwen Zhang

In this paper we are concerned with the global existence of smooth solutions to the turbulent flow equations for compressible flows in $\mathbb{R}^3$. The global well-posedness is proved under the condition that the initial data are close…

偏微分方程分析 · 数学 2012-04-10 Dongfen Bian , Boling Guo

In this paper, we consider the initial-boundary value problem to the three-dimensional primitive equations for the oceanic and atmospheric dynamics with only horizontal eddy viscosities in the horizontal momentum equations and only vertical…

偏微分方程分析 · 数学 2024-08-14 Chongsheng Cao , Jinkai Li , Edriss S. Titi , Dong Wang
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