Next Article in Journal
The Journal of Fluids: An International and Interdisciplinary Scientific Open Access Journal
Article Menu

Export Article

Open AccessArticle
Fluids 2016, 1(1), 2; doi:10.3390/fluids1010002

A Simple Stochastic Parameterization for Reduced Models of Multiscale Dynamics

Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, 851 S. Morgan st., Chicago, IL 60607, USA
Academic Editor: Mehrdad Massoudi
Received: 26 October 2015 / Revised: 15 December 2015 / Accepted: 16 December 2015 / Published: 24 December 2015
View Full-Text   |   Download PDF [391 KB, uploaded 24 December 2015]   |  

Abstract

Multiscale dynamics are frequently present in real-world processes, such as the atmosphere-ocean and climate science. Because of time scale separation between a small set of slowly evolving variables and much larger set of rapidly changing variables, direct numerical simulations of such systems are difficult to carry out due to many dynamical variables and the need for an extremely small time discretization step to resolve fast dynamics. One of the common remedies for that is to approximate a multiscale dynamical systems by a closed approximate model for slow variables alone, which reduces the total effective dimension of the phase space of dynamics, as well as allows for a longer time discretization step. Recently, we developed a new method for constructing a deterministic reduced model of multiscale dynamics where coupling terms were parameterized via the Fluctuation-Dissipation theorem. In this work we further improve this previously developed method for deterministic reduced models of multiscale dynamics by introducing a new method for parameterizing slow-fast interactions through additive stochastic noise in a systematic fashion. For the two-scale Lorenz 96 system with linear coupling, we demonstrate that the new method is able to recover additional features of multiscale dynamics in a stochastically forced reduced model, which the previously developed deterministic method could not reproduce. View Full-Text
Keywords: multiscale dynamics; stochastic parameterization; averaging; homogenization; 37M; 37N; 60G multiscale dynamics; stochastic parameterization; averaging; homogenization; 37M; 37N; 60G
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Abramov, R. A Simple Stochastic Parameterization for Reduced Models of Multiscale Dynamics. Fluids 2016, 1, 2.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Fluids EISSN 2311-5521 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top