The University of Southampton
University of Southampton Institutional Repository

Mixing in the Arctic Ocean: using the advection-diffusion equation to estimate the role of diapycnal mixing in Arctic Ocean dynamics

Mixing in the Arctic Ocean: using the advection-diffusion equation to estimate the role of diapycnal mixing in Arctic Ocean dynamics
Mixing in the Arctic Ocean: using the advection-diffusion equation to estimate the role of diapycnal mixing in Arctic Ocean dynamics
An advection – diffusion balance was used to calculate the diapycnal vertical mixing between water masses required to maintain the density stratification in the Arctic Ocean. A box model bounded by a velocity field created from hydrographic measurements at the gateways of the Arctic (Bering, Davis and Fram Strait and the Barents Sea Opening) was used, and the properties in the interior of the Arctic estimated from a climatology dataset (PHC). The density gradient, volume flux, vertical velocity, diapycnal diffusivity, and dissipation rate were calculated. A weak vertical velocity of 10-7 ms-1 and a weak diapycnal mixing of ~2 x 10-6 m2 s-1 were found in the upper layers of the Arctic up to 200 m depth, likely due to weak turbulent mixing resulting from double diffusion, and consistent with microstructure measurements. An apparent negative diffusivity was found in the bottom layers. This is likely due to the effects of the warm, salty Atlantic Water inflow, of which 3.37 Sv enters the Arctic and is diapycnally transported into its adjacent layers, causing buoyancy loss from down-slope convection and densification of water.
DeGiorgio, Romina
ee44ca3c-849c-4fca-a206-8a0e81d23bb8
DeGiorgio, Romina
ee44ca3c-849c-4fca-a206-8a0e81d23bb8
Naveira-Garabato, Alberto
97c0e923-f076-4b38-b89b-938e11cea7a6

DeGiorgio, Romina (2015) Mixing in the Arctic Ocean: using the advection-diffusion equation to estimate the role of diapycnal mixing in Arctic Ocean dynamics. University of Southampton, Ocean & Earth Science, Masters Thesis, 72pp.

Record type: Thesis (Masters)

Abstract

An advection – diffusion balance was used to calculate the diapycnal vertical mixing between water masses required to maintain the density stratification in the Arctic Ocean. A box model bounded by a velocity field created from hydrographic measurements at the gateways of the Arctic (Bering, Davis and Fram Strait and the Barents Sea Opening) was used, and the properties in the interior of the Arctic estimated from a climatology dataset (PHC). The density gradient, volume flux, vertical velocity, diapycnal diffusivity, and dissipation rate were calculated. A weak vertical velocity of 10-7 ms-1 and a weak diapycnal mixing of ~2 x 10-6 m2 s-1 were found in the upper layers of the Arctic up to 200 m depth, likely due to weak turbulent mixing resulting from double diffusion, and consistent with microstructure measurements. An apparent negative diffusivity was found in the bottom layers. This is likely due to the effects of the warm, salty Atlantic Water inflow, of which 3.37 Sv enters the Arctic and is diapycnally transported into its adjacent layers, causing buoyancy loss from down-slope convection and densification of water.

Text
Degiorgio, Romina_MPhil_Feb_16.pdf - Other
Download (4MB)

More information

Published date: 18 December 2015
Organisations: University of Southampton, Physical Oceanography

Identifiers

Local EPrints ID: 388134
URI: http://eprints.soton.ac.uk/id/eprint/388134
PURE UUID: 573dc34b-7d90-44d6-a1cd-27402ea7ca3c
ORCID for Alberto Naveira-Garabato: ORCID iD orcid.org/0000-0001-6071-605X

Catalogue record

Date deposited: 23 Feb 2016 12:06
Last modified: 15 Mar 2024 03:24

Export record

Contributors

Author: Romina DeGiorgio
Thesis advisor: Alberto Naveira-Garabato ORCID iD

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.

×