Synthetizing hydrodynamic turbulence from noise: formalism and applications to plankton dynamics

Sagués, F., Reigada, R., Sancho, J.M., Hillary, R.M. and Bees, M.A. (2003) Synthetizing hydrodynamic turbulence from noise: formalism and applications to plankton dynamics. AIP Conference Proceedings, 665(1), pp. 531-538. (doi: 10.1063/1.1584930)

Abstract

We present an analytical scheme, easily implemented numerically, to generate synthetic Gaussian 2D turbulent flows by using linear stochastic partial differential equations, where the noise term acts as a random force of well-prescribed statistics. This methodology leads to a divergence-free, isotropic, stationary and homogeneous velocity field, whose characteristic parameters are well reproduced, in particular the kinematic viscosity and energy spectrum. This practical approach to tailor a turbulent flow is justified by its versatility when analizing different physical processes occurring in advectely mixed systems. Here, we focuss on an application to study the dynamics of Planktonic populations in the ocean.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Bees, Dr Martin
• Authors: Sagués, F., Reigada, R., Sancho, J.M., Hillary, R.M., and Bees, M.A.
• College/School: College of Science and Engineering > School of Mathematics and Statistics > Mathematics
• Journal Name: AIP Conference Proceedings
• Publisher: American Institute of Physics
• ISSN: 0094-243X
• ISSN (Online): 1551-7616
• Copyright Holders: Copyright © 2003 American Institute of Physics
• First Published: First published in AIP Conference Proceedings 665(1):531-538
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher