Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
During the last decade, environmental flows have been measured with a growing set of instruments, which can now offer relatively high resolution in space and time. This growing amount of data can analysed following a "statistical approach to turbulence", rather well established in terms of theory and laboratory results. I will discuss three studies, two on the near bottom boundarly layer turbulence of the deep ocean, and one on the internal wave variability in Lake Geneva. I will try to show that this approach is particularly useful in the field, where the parameters of the flow cannot be controlled. A detailed description of the statistics of a natural flow can enable precise connections with established theories, and can even suggest new theoretical developments.
David Andrew Barry, Ulrich Lemmin, François Mettra, Rafael Sebastian Reiss, Valentin Kindschi, Benjamin Daniel Graf
Alfred Johny Wüest, Damien Bouffard, Sébastien Lavanchy, Oscar Rodrigo Sepúlveda Steiner, Bieito Fernandez Castro, Alexander Lebaron Forrest