Local dimensionality and inverse persistence analysis of atmospheric turbulence in the stable boundary layer

Francesco Carbone, Tommaso Alberti, Davide Faranda, Daniele Telloni, Giuseppe Consolini, and Luca Sorriso-Valvo
Phys. Rev. E 106, 064211 – Published 26 December 2022

Abstract

The dynamics across different scales in the stable atmospheric boundary layer has been investigated by means of two metrics, based on instantaneous fractal dimensions and grounded in dynamical systems theory. The wind velocity fluctuations obtained from data collected during the Cooperative Atmosphere-Surface Exchange Study–1999 experiment were analyzed to provide a local (in terms of scales) and an instantaneous (in terms of time) description of the fractal properties and predictability of the system. By analyzing the phase-space projections of the continuous turbulent, intermittent, and radiative regimes, a progressive transformation, characterized by the emergence of multiple low-dimensional clusters embedded in a high-dimensional shell and a two-lobe mirror symmetrical structure of the inverse persistence, have been found. The phase space becomes increasingly complex and anisotropic as the turbulent fluctuations become uncorrelated. The phase space is characterized by a three-dimensional structure for the continuous turbulent samples in a range of scales compatible with the inertial subrange, where the phase-space-filling turbulent fluctuations dominate the dynamics, and is low dimensional in the other regimes. Moreover, lower-dimensional structures present a stronger persistence than the higher-dimensional structures. Eventually, all samples recover a three-dimensional structure and higher persistence level at large scales, far from the inertial subrange. The two metrics obtained in the analysis can be considered as proxies for the decorrelation time and the local anisotropy in the turbulent flow.

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  • Received 5 May 2022
  • Accepted 30 November 2022

DOI:https://doi.org/10.1103/PhysRevE.106.064211

©2022 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Francesco Carbone1,*, Tommaso Alberti2, Davide Faranda3,4,5, Daniele Telloni6, Giuseppe Consolini2, and Luca Sorriso-Valvo7,8

  • 1National Research Council, Institute of Atmospheric Pollution Research, C/o University of Calabria, 87036 Rende, Italy
  • 2National Institute for Astrophysics, Institute for Space Astrophysics and Planetology, 00133 Roma, Italy
  • 3Laboratoire des Sciences du Climat et de lEnvironnement, CEA Saclay lOrme des Merisiers, UMR 8212 CEA-CNRS-UVSQ, Université Paris-Saclay & IPSL, 91191, Gif-sur-Yvette, France
  • 4London Mathematical Laboratory, London W6 8RH, United Kindgom
  • 5LMD/IPSL, Ecole Normale Superieure, PSL Research University, 75005 Paris, France
  • 6National Institute for Astrophysics, Astrophysical Observatory of Torino, 10025 Pino Torinese, Italy
  • 7Swedish Institute of Space Physics, Ångström Laboratory, SE-751 21 Uppsala, Sweden
  • 8National Research Council, Institute for Plasma Science and Technology, 70126 Bari, Italy

  • *francesco.carbone@cnr.it

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Vol. 106, Iss. 6 — December 2022

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