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Article

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

1
Department of Mathematics and Meteorology, Northland College, Ashland, WI 54806, USA
2
Atmospheric Science Program, School of Natural Resources, University of Missouri, Columbia, MO 65211, USA
3
Department of Natural Resources Management and Land Cadastre, Belgorod State University, Belgorod 308015, Russia
4
A.M.Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, 3 Pyzhevsky per, Moscow 119017, Russia
5
Department of Physics, Lomonosov Moscow State University, Moscow 119991, Russia
*
Author to whom correspondence should be addressed.
Atmosphere 2017, 8(12), 237; https://doi.org/10.3390/atmos8120237
Received: 2 October 2017 / Revised: 27 October 2017 / Accepted: 21 November 2017 / Published: 29 November 2017
(This article belongs to the Section Meteorology)
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. View Full-Text
Keywords: enstrophy; entropy; Lyapunov exponents; blocking; block intensity enstrophy; entropy; Lyapunov exponents; blocking; block intensity
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MDPI and ACS Style

Jensen, A.D.; Lupo, A.R.; Mokhov, I.I.; Akperov, M.G.; Reynolds, D.D. Integrated Regional Enstrophy and Block Intensity as a Measure of Kolmogorov Entropy. Atmosphere 2017, 8, 237. https://doi.org/10.3390/atmos8120237

AMA Style

Jensen AD, Lupo AR, Mokhov II, Akperov MG, Reynolds DD. Integrated Regional Enstrophy and Block Intensity as a Measure of Kolmogorov Entropy. Atmosphere. 2017; 8(12):237. https://doi.org/10.3390/atmos8120237

Chicago/Turabian Style

Jensen, Andrew D., Anthony R. Lupo, Igor I. Mokhov, Mirseid G. Akperov, and DeVondria D. Reynolds 2017. "Integrated Regional Enstrophy and Block Intensity as a Measure of Kolmogorov Entropy" Atmosphere 8, no. 12: 237. https://doi.org/10.3390/atmos8120237

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