基于选择性隐式时间滤波器的跳跃法积分慢模方案中快模的半隐式计算

IF 2.8 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
M. Moustaoui, Bryce M. Barclay, E. Kostelich
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引用次数: 0

摘要

提出了一种包含不同时间尺度项的大气方程组积分方案。该方法采用滤波跳跃方案,利用四阶隐式时间滤波器,每个时间步长有一个函数评估,来计算平流和旋转等慢传播现象。与完全显式处理相比,使用无条件稳定的方法隐式处理涉及快速传播模式的项,该方法允许应用更大的时间步长和更快的计算。提供了使用明确和重复公式的实施。稳定性分析表明,当慢项和快项接近原点时,该方法对涉及的任何频率组合都是条件稳定的。该方法中使用的隐式滤波器在不显著牺牲物理模式精度的情况下对计算模式进行阻尼。在负责快速传播的项与半隐式方法集成的应用中,通过隐式滤波跳跃实现的振幅误差的O[(Δt4)]精度得以保留。给出了隔声非流体静力滞弹性方程组方法的详细公式。还给出了在全球光谱浅水模型中实现的程序。比较线性重力波的数值解和解析解的例子证明了该方案的准确性。在更实际的非线性应用中也显示了这种性能,其中通过该方法实现的数值解与通过三阶龙格-库塔格式处理慢项的方案计算的数值解进行了比较。结果表明,该方法能够准确求解Kelvin-Helmholtz剪切不稳定性的精细尺度动力学、密度流的演化和双热带气旋的非线性漂移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semi-Implicit Computation of Fast Modes in a Scheme Integrating Slow Modes by a Leapfrog Method based on a Selective Implicit Time Filter
A scheme for integration of atmospheric equations containing terms with differing time scales is developed. The method employs a filtered leapfrog scheme utilizing a fourth-order implicit time-filter with one function evaluation per time step to compute slow propagating phenomena such as advection and rotation. The terms involving fast-propagating modes are handled implicitly with an unconditionally stable method that permits application of larger time steps and faster computations compared to fully explicit treatment. Implementation using explicit and recurrent formulation is provided. Stability analysis demonstrates that the method is conditionally stable for any combination of frequencies involved in the slow and fast terms as they approach the origin. The implicit filter used in the method damps the computational modes without noticeably sacrificing the accuracy of the physical mode. The O[(Δt4)] accuracy for amplitude errors achieved by the implicitly filtered leapfrog is preserved in applications where terms responsible for fast propagation are integrated with a semi-implicit method. Detailed formulation of the method for soundproof non-hydrostatic anelastic equations is provided. Procedures for implementation in global spectral shallow water models are also given. Examples comparing numerical and analytical solutions for linear gravity waves demonstrate the accuracy of the scheme. The performance is also shown in more practical nonlinear applications, where numerical solutions accomplished by the method are evaluated against those computed from a scheme where the slow terms are handled by the third-order Runge-Kutta scheme. It demonstrates that the method is able to accurately resolve fine-scale dynamics of Kelvin-Helmholtz shear instabilities, the evolution of density current and nonlinear drifts of twin tropical cyclones.
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来源期刊
Monthly Weather Review
Monthly Weather Review 地学-气象与大气科学
CiteScore
6.40
自引率
12.50%
发文量
186
审稿时长
3-6 weeks
期刊介绍: Monthly Weather Review (MWR) (ISSN: 0027-0644; eISSN: 1520-0493) publishes research relevant to the analysis and prediction of observed atmospheric circulations and physics, including technique development, data assimilation, model validation, and relevant case studies. This research includes numerical and data assimilation techniques that apply to the atmosphere and/or ocean environments. MWR also addresses phenomena having seasonal and subseasonal time scales.
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