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Integrated Regional Enstrophy and Block Intensity as a Measure of Kolmogorov Entropy

机译:综合区域熵和块体强度作为Kolmogorov熵的量度

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Enstrophy in a fluid relates to the dissipation tendency in a fluid that has use in studying turbulent flows. It also corresponds to vorticity as kinetic energy does to velocity. Earlier work showed that the integrated regional enstrophy (IRE) was related to the sum of the positive Lyapunov exponents. Lyapunov exponents are the characteristic exponent(s) of a dynamic system or a measure of the divergence or convergence of system trajectories that are initially close together. Relatively high values of IRE derived from an atmospheric flow field in the study of atmospheric blocking was identified with the onset or demise of blocking events, but also transitions of the large-scale flow in general. Kolmogorv?¢????Sinai Entropy (KSE), also known as metric entropy, is related to the sum of the positive Lyapunov exponents as well. This quantity can be thought of as a measure of predictability (higher values, less predictability) and will be non-zero for a chaotic system. Thus, the measure of IRE is related to KSE as well. This study will show that relatively low (high) values of IRE derived from atmospheric flows correspond to a more stable (transitioning) large-scale flow with a greater (lesser) degree of predictability and KSE. The transition is least predictable and should be associated with higher IRE and KSE.
机译:流体中的熵与用于研究湍流的流体中的耗散趋势有关。当动能与速度一样时,它也对应于涡度。早期的工作表明,综合区域性涡旋(IRE)与正Lyapunov指数的总和有关。 Lyapunov指数是动态系统的特征指数,或者是最初相互靠近的系统轨迹的发散或收敛的度量。在大气阻塞研究中,来自大气流场的IRE值相对较高,这与阻塞事件的发生或消亡有关,但通常也与大规模流的转变有关。 Kolmogorv?Sinai熵(KSE),也称为度量熵,也与正Lyapunov指数的和有关。该数量可以被认为是可预测性的度量(较高的值,较不可预测的),对于混沌系统将是非零的。因此,IRE的度量也与KSE有关。这项研究将表明,来自大气流的IRE值相对较低(较高)对应于更稳定(过渡)的大规模流,其可预测性和KSE程度较高(较小)。这种转变是最不可预测的,应该与更高的IRE和KSE相关联。

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