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Correcting Fast-Mode Pressure Errors in Storm-Scale Ensemble Kalman Filter Analyses

机译:校正风暴尺度集合卡尔曼滤波器分析中的快速模式压力误差

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摘要

A typical storm-scale ensemble Kalman filter (EnKF) analysis/forecast system is shown to introduce imbalances into the ensemble posteriors that generate acoustic waves in subsequent integrations.When the EnKF is used to research storm-scale dynamics, the resulting spurious pressure oscillations are large enough to impact investigation of processes driven by nonhydrostatic pressure gradient forces. Fortunately, thermodynamic retrieval techniques traditionally applied to dual-Doppler wind analyses can be adapted to diagnose the balanced portion of an EnKF pressure analysis, thereby eliminating the fast-mode pressure oscillations. The efficacy of this approach is demonstrated using a high-resolution supercell thunderstorm simulation as well as EnKF analyses of a simulated and a real supercell.
机译:图中显示了一个典型的风暴尺度集合卡尔曼滤波器(EnKF)分析/预测系统,将不平衡引入到集合后验中,从而在随后的积分中产生声波。足以影响非静水压力梯度力驱动过程的研究。幸运的是,传统上应用于双多普勒风分析的热力学检索技术可用于诊断EnKF压力分析的平衡部分,从而消除了快速模式压力振荡。使用高分辨率的超级小区雷暴模拟以及对模拟超级小区和真实超级小区的EnKF分析,可以证明这种方法的有效性。

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