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Extreme-value statistics from Lagrangian convex hull analysis for homogeneous turbulent Boussinesq convection and MHD convection

  • We investigate the utility of the convex hull of many Lagrangian tracers to analyze transport properties of turbulent flows with different anisotropy. In direct numerical simulations of statistically homogeneous and stationary Navier-Stokes turbulence, neutral fluid Boussinesq convection, and MHD Boussinesq convection a comparison with Lagrangian pair dispersion shows that convex hull statistics capture the asymptotic dispersive behavior of a large group of passive tracer particles. Moreover, convex hull analysis provides additional information on the sub-ensemble of tracers that on average disperse most efficiently in the form of extreme value statistics and flow anisotropy via the geometric properties of the convex hulls. We use the convex hull surface geometry to examine the anisotropy that occurs in turbulent convection. Applying extreme value theory, we show that the maximal square extensions of convex hull vertices are well described by a classic extreme value distribution, the Gumbel distribution. During turbulent convection,We investigate the utility of the convex hull of many Lagrangian tracers to analyze transport properties of turbulent flows with different anisotropy. In direct numerical simulations of statistically homogeneous and stationary Navier-Stokes turbulence, neutral fluid Boussinesq convection, and MHD Boussinesq convection a comparison with Lagrangian pair dispersion shows that convex hull statistics capture the asymptotic dispersive behavior of a large group of passive tracer particles. Moreover, convex hull analysis provides additional information on the sub-ensemble of tracers that on average disperse most efficiently in the form of extreme value statistics and flow anisotropy via the geometric properties of the convex hulls. We use the convex hull surface geometry to examine the anisotropy that occurs in turbulent convection. Applying extreme value theory, we show that the maximal square extensions of convex hull vertices are well described by a classic extreme value distribution, the Gumbel distribution. During turbulent convection, intermittent convective plumes grow and accelerate the dispersion of Lagrangian tracers. Convex hull analysis yields information that supplements standard Lagrangian analysis of coherent turbulent structures and their influence on the global statistics of the flow.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Jane PrattORCiD, Angela Busse, W-C Mueller, Nikolas W. Watkins, Sandra C. Chapman
DOI:https://doi.org/10.1088/1367-2630/aa6fe8
ISSN:1367-2630
Titel des übergeordneten Werks (Englisch):New journal of physics : the open-access journal for physics
Verlag:IOP Publ. Ltd.
Verlagsort:Bristol
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2017
Erscheinungsjahr:2017
Datum der Freischaltung:20.04.2020
Freies Schlagwort / Tag:Lagrangian statistics; magnetoconvection; magnetohydrodynamics; turbulence; turbulent transport
Band:19
Seitenanzahl:18
Fördernde Institution:(FP7)/ERC grant [320478]; Max-Planck Society of the Inter-institutional Solar System Research, Katlenburg-Lindau; Institute for Plasma Physics, Garching [MIFIF-A-AERO8047]; KLIMAFORSK [229754]; Office of Naval Research NICOP grant at Warwick [NICOP-N62909-15-1-N143]; Office of Naval Research NICOP grant at Potsdam [NICOP-N62909-15-1-N143]
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer Review:Referiert
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