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The j-wave Riemann Solver for Meso- and Micro-scale Flows

机译:用于中型和微尺度流的J-Wave Riemann求解器

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The design and implementation of the f-wave approximate Riemann solver for time-dependent, three-dimensional meso- and micro-scale atmospheric flows is described in detail.-^sThe resulting finite volume scheme is conservative and has the ability to resolve regions of steep gradients accurately. Positivity of scalars is also guaranteed by applying the total variation diminishing (TVD) condition appropriately. The Riemann solver employs flux-based wave decomposition (f-waves) for the calculation of Godunov fluxes and does not require the explicit definition of the Roe matrix to enforce conservation. This is an important property in the context of atmospheric flows since the Roe matrix for hyperbolic conservation laws governing atmospheric flows cannot be constructed. The other important feature of the Riemann solver is its ability to incorporate source term due to gravity without introducing discretization errors. Again, in the context of atmospheric flows this is an important advantage. In addition, the scheme requires no explicit filtering or grid staggering for stability. To the best of author's knowledge, this is the first implementation of a Godunov-type scheme for meso- and micro-scale atmospheric flows in three dimensions.
机译:用于时间相关的三维中间和微尺度大气流的F波近似Riemann求解器的设计和实现.- ^ STHE产生的有限体积方案是保守的,具有解决区域的能力陡峭的渐变精确。通过适当地应用总变化递减(TVD)条件,还可以保证标量的阳性。 Riemann求解器采用基于助焊的波分解(F波)来计算Godunov通量,并且不需要显式定义RoE矩阵来实施保护。这是大气流量背景下的重要特性,因为无法构建用于控制大气流动的双曲胁迫法的ROE矩阵。 Riemann求解器的其他重要特征是它能够在不引入离散化误差的情况下引起源期限。同样,在大气流的背景下,这是一个重要的优势。此外,该方案不需要显式滤波或网格惊人的稳定性。据作者所知,这是第一次执行三维中间和微级大气流动的Lodunov型方案。

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