Literature DB >> 29547327

Log-Normal Turbulence Dissipation in Global Ocean Models.

Brodie Pearson1, Baylor Fox-Kemper1.   

Abstract

Data from turbulent numerical simulations of the global ocean demonstrate that the dissipation of kinetic energy obeys a nearly log-normal distribution even at large horizontal scales O(10  km). As the horizontal scales of resolved turbulence are larger than the ocean is deep, the Kolmogorov-Yaglom theory for intermittency in 3D homogeneous, isotropic turbulence cannot apply; instead, the down-scale potential enstrophy cascade of quasigeostrophic turbulence should. Yet, energy dissipation obeys approximate log-normality-robustly across depths, seasons, regions, and subgrid schemes. The distribution parameters, skewness and kurtosis, show small systematic departures from log-normality with depth and subgrid friction schemes. Log-normality suggests that a few high-dissipation locations dominate the integrated energy and enstrophy budgets, which should be taken into account when making inferences from simplified models and inferring global energy budgets from sparse observations.

Entities:  

Year:  2018        PMID: 29547327     DOI: 10.1103/PhysRevLett.120.094501

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  2 in total

1.  Integration of 24 Feature Types to Accurately Detect and Predict Seizures Using Scalp EEG Signals.

Authors:  Yinda Zhang; Shuhan Yang; Yang Liu; Yexian Zhang; Bingfeng Han; Fengfeng Zhou
Journal:  Sensors (Basel)       Date:  2018-04-28       Impact factor: 3.576

2.  Lognormality in Turbulence Energy Spectra.

Authors:  Taewoo Lee
Journal:  Entropy (Basel)       Date:  2020-06-17       Impact factor: 2.524

  2 in total

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