The University of Southampton
University of Southampton Institutional Repository

Estimating bolus velocities from data - how large must they be?

Estimating bolus velocities from data - how large must they be?
Estimating bolus velocities from data - how large must they be?
This paper examines the representation of eddy fluxes by bolus velocities. In particular, it asks:
Can an arbitrary eddy flux divergence of density be represented accurately by a non-divergent bolus flux which satisfies the condition of no normal flow at boundaries?
If not, how close can such a representation come?
If such a representation can exist in some circumstances, what is the size of the smallest bolus velocity which fits the data?
We find, in agreement with earlier authors, that the answer to the first question is no, although under certain conditions which include a modification to the eddy flux divergence, a bolus representation becomes possible. One such condition is when the eddy flux divergence is required to balance the time mean flux divergence. The smallest bolus flow is easily found by solving a thickness-weighted Poisson equation on each density level. This problem is solved for the north Pacific using time-mean data from an eddy-permitting model. The minimum bolus flow is found to be very small at depth, but larger than is usually assumed near the surface. The magnitude of this minimum flow is of order one-tenth of the mean flow. Similar but larger results are found for a coarse resolution model.
0022-3670
70-88
Killworth, Peter D.
cdb4e8d3-c5eb-48b8-860a-0b16473b5d44
Killworth, Peter D.
cdb4e8d3-c5eb-48b8-860a-0b16473b5d44

Killworth, Peter D. (2009) Estimating bolus velocities from data - how large must they be? Journal of Physical Oceanography, 39 (1), 70-88. (doi:10.1175/2008JPO3905.1).

Record type: Article

Abstract

This paper examines the representation of eddy fluxes by bolus velocities. In particular, it asks:
Can an arbitrary eddy flux divergence of density be represented accurately by a non-divergent bolus flux which satisfies the condition of no normal flow at boundaries?
If not, how close can such a representation come?
If such a representation can exist in some circumstances, what is the size of the smallest bolus velocity which fits the data?
We find, in agreement with earlier authors, that the answer to the first question is no, although under certain conditions which include a modification to the eddy flux divergence, a bolus representation becomes possible. One such condition is when the eddy flux divergence is required to balance the time mean flux divergence. The smallest bolus flow is easily found by solving a thickness-weighted Poisson equation on each density level. This problem is solved for the north Pacific using time-mean data from an eddy-permitting model. The minimum bolus flow is found to be very small at depth, but larger than is usually assumed near the surface. The magnitude of this minimum flow is of order one-tenth of the mean flow. Similar but larger results are found for a coarse resolution model.

This record has no associated files available for download.

More information

Published date: January 2009
Additional Information: Corresponding author: Jeff Blundell jeff@noc.soton.ac.uk

Identifiers

Local EPrints ID: 65108
URI: http://eprints.soton.ac.uk/id/eprint/65108
ISSN: 0022-3670
PURE UUID: 88665316-214f-40d3-8870-d49a08c83187

Catalogue record

Date deposited: 03 Feb 2009
Last modified: 15 Mar 2024 12:06

Export record

Altmetrics

Contributors

Author: Peter D. Killworth

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×