nerc.ac.uk

Numerical simulations of dense water cascading on a steep slope

Wobus, Fred; Shapiro, Georgy I.; Maqueda, Miguel A. M.; Huthnance, John M. ORCID: https://orcid.org/0000-0002-3682-2896. 2011 Numerical simulations of dense water cascading on a steep slope. Journal of Marine Research, 69 (2-3). 391-415. https://doi.org/10.1357/002224011798765268

Before downloading, please read NORA policies.
[img]
Preview
Text
Wobus_et_al_2011_cascading.pdf - Published Version

Download (2MB)

Abstract/Summary

The sinking of dense shelf waters down the continental slope (or "cascading") contributes to oceanic water mass formation and carbon cycling. Cascading over steep bottom topography is studied here in numerical experiments using POLCOMS, a 3-D ocean circulation model using a terrain-following s-coordinate system. The model setup is based on a laboratory experiment of a continuous dense water flow from a central source on a conical slope in a rotating tank. The governing parameters of the experiments are the density difference between plume and ambient water, the flow rate, the speed of rotation and (in the model) diffusivity and viscosity. The descent of the dense flow as characterized by the length of the plume as a function of time is studied for a range of parameters. Very good agreement between the model and the laboratory results is shown in dimensional and nondimensional variables. It is confirmed that a hydrostatic model is capable of reproducing the essential physics of cascading on a very steep slope if the model correctly resolves velocity veering in the bottom boundary layer. Experiments changing the height of the bottom Ekman layer (by changing viscosity) and modifying the plume from a 2-layer system to a stratified regime (by enhancing diapycnal diffusion) confirm previous theories, demonstrate their limitations and offer new insights into the dynamics of cascading outside of the controlled laboratory conditions

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1357/002224011798765268
ISSN: 0022-2402
Additional Information. Not used in RCUK Gateway to Research.: Yes, Nadine, you have JMR's permission to put the article in your repository because one of the authors is part of your institution. Usually the authors put the article on their own website and that is fine too. You should use the final PDF (you can get it off the JMR website) Cheers Doreen -------------------------------------------------------------------------- At 08:00 AM 1/5/2012, you wrote: Dear Doreen Orciari, I wonder if you could advise me whether it is possible, with your permission, for me to deposit in our Repository ( http://nora.nerc.ac.uk/ ) a PDF of the following paper: Wobus, Fred; Shapiro, Georgy I.; Maqueda, Miguel A. M.; Huthnance, John M., March 2011, Numerical simulations of dense water cascading on a steep slope. Journal of Marine Research, 69(2-3), March-May 2011, 391-415. If you agree to this, could you then advise me please in which format the PDF should be (i.e. pre-print; post-print or published version)? I look forward to hearing from you. Many thanks, Nadina McShane Information and Record Manager National Oceanography Centre Joseph Proudman Building 6 Brownlow Street Liverpool L3 5DA 44(0)1517954850 www.noc.ac.uk -- This message (and any attachments) is for the recipient only. NERC is subject to the Freedom of Information Act 2000 and the contents of this email and any reply you make may be disclosed by NERC unless it is exempt from release under the Act. Any material supplied to NERC may be stored in an electronic records management system. Doreen Orciari Editorial Assistant Journal of Marine Research Yale University 210 Whitney Avenue (KGL) (for FedEx) P.O. Box 208109 New Haven CT 06520-8109 jmr@yale.edu www.journalofmarineresearch.org
NORA Subject Terms: Marine Sciences
Date made live: 05 Jan 2012 13:13 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/16247

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...