29 citations · 44 across the 3 of their papers we have counts for
3 papers
Probing turbulence intermittency via Auto-Regressive Moving-Average models
Davide Faranda, Flavio Maria Emanuele Pons, Berengere Dubrulle +1
We suggest a new approach to probing intermittency corrections to the Kolmogorov law in turbulent flows based on the Auto-Regressive Moving-Average modeling of turbulent time serie…
Modelling and analysis of turbulent datasets using ARMA processes
Davide Faranda, Flavio Maria Emanuele Pons, Bérèngere Dubrulle +4
We introduce a novel way to extract information from turbulent datasets by applying an ARMA statistical analysis. Such analysis goes well beyond the analysis of the mean flow and o…
Statistical early-warning indicators based on Auto-Regressive Moving-Average processes
Davide Faranda, Flavio Maria Emanuele Pons, Bérengère Dubrulle
We address the problem of defining early warning indicators of critical transition. To this purpose, we fit the relevant time series through a class of linear models, known as Auto…