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Local dimensionality and inverse persistence analysis of atmospheric turbulence in the stable boundary layer
Univ Calabria, Natl Res Council, Inst Atmospher Pollut Res, I-87036 Arcavacata Di Rende, Italy..
Natl Inst Astrophys, Inst Space Astrophys & Planetol, I-00133 Rome, Italy..ORCID iD: 0000-0001-6096-0220
Univ Paris Saclay, Lab Sci Climat & lEnvironnem, CEA Saclay lOrme Merisiers, UMR CEA CNRS UVSQ 8212, F-91191 Gif Sur Yvette, France.;London Math Lab, London W6 8RH, England.;PSL Res Univ, Ecole Normale Super, LMD, IPSL, F-75005 Paris, France..ORCID iD: 0000-0001-5001-5698
Natl Inst Astrophys, Astrophys Observ Torino, I-10025 Pino Torinese, Italy..
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2022 (English)In: Physical review. E, ISSN 2470-0045, E-ISSN 2470-0053, Vol. 106, no 6, article id 064211Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
American Physical Society, 2022. Vol. 106, no 6, article id 064211
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:uu:diva-496269DOI: 10.1103/PhysRevE.106.064211ISI: 000913382600007PubMedID: 36671155OAI: oai:DiVA.org:uu-496269DiVA, id: diva2:1735817
Funder
EU, Horizon 2020, 689443EU, Horizon 2020, 820852Available from: 2023-02-10 Created: 2023-02-10 Last updated: 2023-02-10Bibliographically approved

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Sorriso-Valvo, Luca

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Alberti, TommasoFaranda, DavideSorriso-Valvo, Luca
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Swedish Institute of Space Physics, Uppsala Division
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Physical review. E
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