Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Pons, Flavio"'
This thesis addresses the statistical modeling of turbulence, focusing on three main aspects: the critical transition from laminarity to turbulence, the effects of the so-called intermittency and the energy dynamics of a turbulent flow. The central p
Externí odkaz:
http://amsdottorato.unibo.it/7260/
Publikováno v:
In Weather and Climate Extremes March 2024 43
Autor:
Messori, Gabriele, Bevacqua, Emanuele, Caballero, Rodrigo, Coumou, Dim, De Luca, Paolo, Faranda, Davide, Kornhuber, Kai, Martius, Olivia, Pons, Flavio, Raymond, Colin, Ye, Kunhui, Yiou, Pascal, Zscheischler, Jakob
Publikováno v:
Bulletin of the American Meteorological Society, 2021 Apr 01. 102(4), E774-E781.
Externí odkaz:
https://www.jstor.org/stable/27214396
Publikováno v:
In International Journal of Forecasting July-September 2021 37(3):1049-1060
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 series. We introduce a new index $\Upsilon$ that measures the distance from
Externí odkaz:
http://arxiv.org/abs/1407.5478
Autor:
Faranda, Davide, Pons, Flavio Maria Emanuele, Dubrulle, Bérèngere, Daviaud, François, Saint-Michel, Brice, Herbert, Éric, Cortet, Pierre-Philippe
Publikováno v:
Physics of Fluids, 26, 105101 (2014)
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 of the fluctuations and links the behavior of the recorded time series
Externí odkaz:
http://arxiv.org/abs/1404.0547
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-Regressive Moving-Average (ARMA(p,q)) models. We define two indicator
Externí odkaz:
http://arxiv.org/abs/1402.2885
Publikováno v:
In Tourism Management April 2019 71:476-489
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Pons, Flavio Maria Emanuele1 flavio.pons@lsce.ipsl.fr, Faranda, Davide1,2
Publikováno v:
Advances in Statistical Climatology, Meteorology & Oceanography (ASCMO). 2022, Vol. 8 Issue 2, p155-186. 32p.