Chaos metrics for testing Lagrangian particle models
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Author
Contributions
- Naval Postgraduate School (U.S.) - Contributor
Publication
1993 - Naval Postgraduate School, Monterey, Calif, California
Language
English
Word Count
26,750 words, Guess
Page Count
107 pages
Identifiers
- Internet Archivechaosmetricsfort00kama
- Open LibraryOL25514057M
Alternate Titles
- NPS-PH-93-007.
Description
The Lorenz and Henon attractors and two atmospheric Lagrangian particle models were tested using self-affine fractal dimension, DA, Shannon information entropy, S, and the Lyapunov exponent, lambda, along with turbulent kinetic energy, vertical variance, and Brunt-Vaisala Frequency. Results show that (1) chaos metrics are a new set of tools to assess the micro behavior of Lagrangian particle models, (2) that periodicity in bifurcatory systems differs from wave behavior in fluids, since wave states are not limited to amplitude extrema. (3) Non-spectral particle models lead to unrealistic variations in 'the chaos metrics with changes in buoyant stability. (4) S and DA behave oppositely at times, implying that diffusion and dispersion are not equivalent, even in the absence of mean windflow.... atmospheric dispersion/diffusion, Lagrangian particle models chaos, Self-affine fractals, Turbulence, Atmospheric boundary layer, strange attractors, Monte Carlo models, Lyapunov.
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