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Hydrostatic Hamiltonian particle-mesh (HPM) methods for atmospheric modelling

机译:用于大气建模的流体静力学哈密顿粒子网(HPM)方法

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摘要

We develop a hydrostatic Hamiltonian particle-mesh (HPM) method for efficient long-term numerical integration of the atmosphere. In the HPM method, the hydrostatic approximation is interpreted as a holonomic constraint for the vertical position of particles. This can be viewed as defining a set of vertically buoyant horizontal meshes, with the altitude of each mesh point determined so as to satisfy the hydrostatic balance condition and with particles modelling horizontal advection between the movingmeshes. We implement the method in a vertical-slice model and evaluate its performance for the simulation of idealized linear and nonlinear orographic flow in both dry and moist environments. The HPM method is able to capture the basic features of the gravity wave to a degree of accuracy comparable with that reported in the literature. The numerical solution in the moist experiment indicates that the influence of moisture on wave characteristics is represented reasonably well and the reduction of momentum flux is in good agreement with theoretical analysis.
机译:我们开发了一种有效的大气长期数值积分的静液压哈密顿粒子网(HPM)方法。在HPM方法中,静水力近似被解释为颗粒垂直位置的完整约束。可以将其视为定义了一组垂直浮力的水平网格,其中每个网格点的高度都确定为满足静水平衡条件,并且粒子模拟运动网格之间的水平对流。我们在垂直切片模型中实施该方法,并评估其在干燥和潮湿环境中模拟理想线性和非线性地形流动的性能。 HPM方法能够捕获重力波的基本特征,其精确度可与文献报道的水平相比。湿润实验的数值解表明,湿气对波浪特征的影响被很好地表示,动量通量的减少与理论分析吻合良好。

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