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Quantifying local predictability of the Lorenz system using the nonlinear local Lyapunov exponent
  • 分类:P[天文地球]
  • 作者机构:[1]State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics,Chinese Academy of Sciences, Beijing, China, [2]College of Earth Science, University of Chinese Academy of Sciences, Beijing, China, [3]College of Global Change and Earth System Science (GCESS), Beijing Normal University, Beijing, China, [4]Joint Center for Global Change Studies, Beijing Normal University, Beijing, China, [5]College of Atmospheric Sciences, Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu, China, [6]GIobal Systems Division, Earth System Research Laboratory/Oceanic and Atmospheric Research/National Oceanic and Atmospheric Administration, Boulder, CO, USA, [7]Fujian Meteorological Observatory, Fuzhou, China
  • 相关基金:supported by the National Natural Science Foundation of China[grant number 41375110]
中文摘要:

非线性局部Lyapunov指数(NLLE)可以用来度量混沌系统的局地可预报性。本文基于NLLE方法研究了Lorenz吸引子在相空间上的局地可预报性的空间分布特征。结果表明,在吸引子两翼的内、外边缘的局地可预报性期限较高,而吸引子中部地区的局地可预报性期限则较低。然而,局地可预报性期限的分布却没有呈现有组织的均一结构,相邻两点的局地可预报性期限可能差别很大。局地可预报性的来源被认为与吸引子上的局地动力学有关,由所在位置和在当前状态的持续时间决定。

英文摘要:

The nonlinear local Lyapunov exponent(NLLE) can be used as a quantification of the local predictability limit of chaotic systems. In this study, the phase-spatial structure of the local predictability limit over the Lorenz-63 system is investigated. It is found that the inner and outer rims of each regime of the attractor have a high probability of a longer than average local predictability limit, while the center part is the opposite. However, the distribution of the local predictability limit is nonuniformly organized, with adjacent points sometimes showing quite distinct error growth.The source of local predictability is linked to the local dynamics, which is related to the region in the phase space and the duration on the current regime.

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