Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications

ISBN-13: 9781107067615 / Angielski / Twarda / 2016 / 226 str.

Francois Schmitt; Yongxiang Huang

Opis

Provides a thorough understanding of the techniques used to retrieve multi-scale information from turbulent and complex systems, with case studies.

Spis treści

Preface; 1. Introduction: a multiscale and turbulent-like world; 2. Homogeneous turbulence and intermittency; 3. Scaling and intermittent stochastic processes; 4. New methodologies to deal with nonlinear and scaling time series; 5. Applications: case studies in turbulence; 6. Applications: case studies in ocean and atmospheric sciences; References; Index.