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Predictability of a low-order interactive ensemble

机译:低阶交互集合的可预测性

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In this paper, numerical and analytical studies were performed to uncover the mechanisms controlling the changes in ensemble spread of a low-order coupled model with multiple atmospheric realizations. An interactive ensemble approach was applied to a coupled dynamical system based on two versions of the Lorenz 63 model designed in order to imitate the behavior of a coupled system with different time scales. In the dynamic system used in this work the spread of ensemble members is highly dependent on the mean state corresponding to asymmetries in predictability. The slowness of the slow model and the intensity of the boundary forcing anomalies both contribute to the asymmetry and phase locking of both subsystems. The mechanisms controlling the fast model spread were uncovered revealing uncertainty dynamics depending on the location of ensemble members in the fast model phase space and implicitly on the slowness and magnitude of the slow model anomalies.
机译:在本文中,进行了数值和分析研究,以揭示控制具有多种大气实现的低阶耦合模型集合扩展变化的机制。交互式集成方法应用于基于两个版本的Lorenz 63模型的耦合动力学系统,该模型设计为模仿具有不同时标的耦合系统的行为。在这项工作中使用的动态系统中,合奏成员的散布高度依赖于与可预测性不对称相对应的平均状态。慢速模型的慢度和边界强迫异常的强度都有助于两个子系统的不对称和锁相。揭示了控制快速模型扩展的机制,揭示了不确定性动力学,这取决于快速模型相空间中集合成员的位置,并且隐含地取决于慢模型异常的慢度和大小。

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