The connected ocean: comparing inter-ocean transport at the surface and at depth

The oceans form a global network of inter-connected basins, with currents transporting a range of tracers such as heat and pollution between them. Although the ocean dynamics play a key role in determining transport between basins, the basins are de ned by arbitrary geographical borders rather than...

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Main Author: McAdam, Ronan
Other Authors: van Sebille, Erik, Czaja, Arnaud, Imperial College London
Format: Doctoral or Postdoctoral Thesis
Language:unknown
Published: Imperial College London 2019
Subjects:
Online Access:http://hdl.handle.net/10044/1/73893
https://doi.org/10.25560/73893
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spelling ftimperialcol:oai:spiral.imperial.ac.uk:10044/1/73893 2023-05-15T17:36:23+02:00 The connected ocean: comparing inter-ocean transport at the surface and at depth McAdam, Ronan van Sebille, Erik Czaja, Arnaud Imperial College London 2019-09 http://hdl.handle.net/10044/1/73893 https://doi.org/10.25560/73893 unknown Imperial College London Physics Creative Commons Attribution NonCommercial No Derivatives Licence CC-BY-NC-ND Thesis or dissertation Doctoral Doctor of Philosophy (PhD) 2019 ftimperialcol https://doi.org/10.25560/73893 2019-11-14T23:39:23Z The oceans form a global network of inter-connected basins, with currents transporting a range of tracers such as heat and pollution between them. Although the ocean dynamics play a key role in determining transport between basins, the basins are de ned by arbitrary geographical borders rather than physical connections. This thesis proposes a method of detecting dynamical boundaries and applies it to the ocean surface and interior. To achieve this, probabilistic models are used to summarise the transport described by vast datasets of water-following trajectories. Such models, known as Markov Chain models, have previously been used to map the distribution of plastic pollution yet are known to induce an artificial dispersion. First, a sensitivity analysis of the effect of model parameters on artificial dispersion is performed, to determine the optimal model set-up. Next, a global dataset of observed trajectories is used to detect dynamic transport barriers in two key areas of inter-ocean surface exchange: the Agulhas Current system and the North Atlantic inter-gyre transport barrier. Connectivity maps are introduced as maps of tracer destinations which highlight dynamical segregation between regions. For example, these are used to identify the source region for Agulhas Leakage and one-way equator-ward transport across the Gulf Stream. Using a new method to extract geostrophic motion from a trajectory dataset, the geostrophic contribution to inter-basin transport can be identified. Finally, connectivity maps are produced for the ocean interior using virtual particles released along isopycnals in the eddy-permitting ORCA025 ocean circulation model. The change in connectivity, in the two study regions, between two target isopycnals is the first step in creating a 3D border of the ocean basins. New basin definitions are then explained by transport processes relevant to the region. Future work should establish the link between dynamical boundaries and the distribution of heat and pollution. Open Access Doctoral or Postdoctoral Thesis North Atlantic Imperial College London: Spiral
institution Open Polar
collection Imperial College London: Spiral
op_collection_id ftimperialcol
language unknown
description The oceans form a global network of inter-connected basins, with currents transporting a range of tracers such as heat and pollution between them. Although the ocean dynamics play a key role in determining transport between basins, the basins are de ned by arbitrary geographical borders rather than physical connections. This thesis proposes a method of detecting dynamical boundaries and applies it to the ocean surface and interior. To achieve this, probabilistic models are used to summarise the transport described by vast datasets of water-following trajectories. Such models, known as Markov Chain models, have previously been used to map the distribution of plastic pollution yet are known to induce an artificial dispersion. First, a sensitivity analysis of the effect of model parameters on artificial dispersion is performed, to determine the optimal model set-up. Next, a global dataset of observed trajectories is used to detect dynamic transport barriers in two key areas of inter-ocean surface exchange: the Agulhas Current system and the North Atlantic inter-gyre transport barrier. Connectivity maps are introduced as maps of tracer destinations which highlight dynamical segregation between regions. For example, these are used to identify the source region for Agulhas Leakage and one-way equator-ward transport across the Gulf Stream. Using a new method to extract geostrophic motion from a trajectory dataset, the geostrophic contribution to inter-basin transport can be identified. Finally, connectivity maps are produced for the ocean interior using virtual particles released along isopycnals in the eddy-permitting ORCA025 ocean circulation model. The change in connectivity, in the two study regions, between two target isopycnals is the first step in creating a 3D border of the ocean basins. New basin definitions are then explained by transport processes relevant to the region. Future work should establish the link between dynamical boundaries and the distribution of heat and pollution. Open Access
author2 van Sebille, Erik
Czaja, Arnaud
Imperial College London
format Doctoral or Postdoctoral Thesis
author McAdam, Ronan
spellingShingle McAdam, Ronan
The connected ocean: comparing inter-ocean transport at the surface and at depth
author_facet McAdam, Ronan
author_sort McAdam, Ronan
title The connected ocean: comparing inter-ocean transport at the surface and at depth
title_short The connected ocean: comparing inter-ocean transport at the surface and at depth
title_full The connected ocean: comparing inter-ocean transport at the surface and at depth
title_fullStr The connected ocean: comparing inter-ocean transport at the surface and at depth
title_full_unstemmed The connected ocean: comparing inter-ocean transport at the surface and at depth
title_sort connected ocean: comparing inter-ocean transport at the surface and at depth
publisher Imperial College London
publishDate 2019
url http://hdl.handle.net/10044/1/73893
https://doi.org/10.25560/73893
genre North Atlantic
genre_facet North Atlantic
op_rights Creative Commons Attribution NonCommercial No Derivatives Licence
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.25560/73893
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