How to Download
FRDR offers multiple ways to download datasets. Learn more in our documentation.
Implications of Reynolds Averaging for Reactive Tracers in Turbulent Flows
| Description: | RANS simulations have been broadly used to investigate turbulence in the oceans and atmosphere. Within these environments there are a multitude of tracers undergoing reactions (eg. phytoplankton growth, chemical reactions). The distribution of these reactive tracers is strongly influenced by turbulent mixing. With a 50 member ensemble of two-dimensional Rayleigh-Taylor induced turbulent mixing, we show that the dynamics of a reactive tracer growing according to Fisher’s equation are poorly captured by the mean. A fluctuation-dependent sink introduced by Reynolds averaging Fisher’s equation transfers concentration from the mean to the fluctuations. We compare the dynamics of the reactive tracer with those of a passive tracer. The data herein provide all metrics used to demonstrate these results. The .mat files contain the data required to reproduce all figures and the .m files are plotting scripts. The data included herein was collected from an ensemble generated with SPINS (Spectral Parallel Incompressible Navier-Stokes Solver), which can be cloned from https://git.uwaterloo.ca/SPINS/SPINS_main The data in this repository correspond to "Implications of Reynolds Averaging for Reactive Tracers in Turbulent Flows" by Legare and Stastna, 2023 (submitted). For detailed information on interpreting the data, see the associated submitted manuscript on Preprints: https://doi.org/10.20944/preprints202309.1301.v1. |
| Notes: | Preprint: https://doi.org/10.20944/preprints202309.1301.v1. |
| Authors: | Legare, Sierra; University of Waterloo;  0000-0003-2341-4305Stastna, Marek; University of Waterloo; 0000-0003-1770-2044 |
| Keywords: | Reynolds-Averaged Navier-Stokes Equations RANS Simulations Reactive Tracer Computational Fluid Dynamics Rayleigh-Taylor Instability Spectral Parallel Incompressible Navier-Stokes Solver (SPINS) SPINS |
| Field of Research: | Mathematics and statistics > Applied mathematics > Computational fluid mechanics
|
| Publication Date: | 2023-09-22 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Natural Sciences and Engineering Research Council of Canada; Alexander Graham Bell Canada Graduate Scholarship - Masters (S.L.) Natural Sciences and Engineering Research Council of Canada; Discovery Grant; RGPIN-311844-37157 |
| URI: | https://doi.org/10.20383/103.0804 |
| Related Identifiers: |
This dataset is cited by
This dataset is derived from
|
Files in Dataset
No files uploaded
Download entire dataset using Globus Transfer. This method requires a Globus account and installing software. Watch Video: Get Started with FRDR: Download a Dataset
Files for this dataset are currently being backed up so it cannot be approved at this time. Please try later.
Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Legare, S., Stastna, M. (2023). Implications of Reynolds Averaging for Reactive Tracers in Turbulent Flows. Federated Research Data Repository. https://doi.org/10.20383/103.0804
Footer Second
Footer Third
