Philipp Schlatter

Pairwise interactions in turbulence time series: essential measures for validating synthetic data

Abstract The synthesis of turbulence dynamics using machine learning, statistical, and dynamical system-based models has become an emerging research direction. Validation of synthetic turbulence time series is often based on marginal and second-order statistics, which may overlook whether the underlying interaction str...