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Can recurrence quantification analysis be useful in the interpretation of airborne turbulence measurements?
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  • Stanisław Król,
  • Alan M. Blyth,
  • Steven Böing,
  • Leif Denby,
  • Tom A. Lachlan-Cope,
  • Szymon P Malinowski
Stanisław Król
Institute of Geophysics, Faculty of Physics, University of Warsaw

Corresponding Author:skrol@fuw.edu.pl

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Alan M. Blyth
NCAS, University of Leeds
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Steven Böing
Univ of Leeds
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Leif Denby
Danish Meteorological Institute
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Tom A. Lachlan-Cope
British Antarctic Survey
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Szymon P Malinowski
University of Warsaw
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In airborne or model data, clouds are often defined using information about Liquid Water Content (LWC). Unfortunately LWC is not enough to retrieve information about the dynamical boundary of the cloud, i.e. volume of turbulent air around the cloud. In this work, we propose an algorithmic approach to this problem based on a method used in time series analysis of variables in dynamic systems, namely Recurrence Plot (RP) and Recurrence Quantification Analysis (RQA). By studying RP’s constructed with turbulence kinetic energy, vertical velocity and temperature fluctuations and quantifying appropriate time series of laminarity (LAM) calculated using the plots, we distinguish between turbulent and non-turbulent segments along a horizontal flight leg.
09 Aug 2023Submitted to ESS Open Archive
12 Aug 2023Published in ESS Open Archive