How to reverse time in stochastic particle tracking models

Publication: Research - peer-reviewJournal article – Annual report year: 2011

View graph of relations

Many oceanographic studies perform individual-based simulations of the transport and dispersal of particles such as fish larvae and eggs. An increasing number of these studies take place in reverse time, for example as to locate the origins of a particle observed at a given time and position. This paper demonstrates that when turbulent dispersal is taken into account, such backtracking can be done in different ways, which have different justifications and which may yield quite different results. We discuss three methods for reversing time: First, following the streamlines backwards while letting the eddy diffusivity perturb the trajectory; next, considering the initial position of an unknown parameter and estimating it using the maximum likelihood principle; and finally; assuming the trajectory to be a path in a stationary stochastic process and identifying the reversed-time transition probabilities. We illustrate the conceptual and algorithmic differences between the approaches. © 2011 Elsevier B.V. All rights reserved.
Original languageEnglish
JournalJournal of Marine Systems
Publication date2011
Volume88
Journal number2
Pages159-168
ISSN0924-7963
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 2

Keywords

  • Particle backtracking, Lagrangian modeling, Turbulent dispersal
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 5901241