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An investigation into the sampling bias of Argo profiling floats in the Southern Ocean

Numerous Argo floats (approximately 3800 floats) have been deployed in the world's oceans to gather hydrographic and biogeochemical data from the upper 2000 m. However, limited research has been done on the spatial and temporal distribution and potential sampling bias of Argo profiling floats brough...

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Main Author: Tsei, Senam Kofi
Other Authors: Backeberg, Björn
Format: Thesis
Language:English
Published: Department of Oceanography 2016
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access_status_str Open Access
author Tsei, Senam Kofi
author2 Backeberg, Björn
author_browse Backeberg, Björn
Tsei, Senam Kofi
author_facet Backeberg, Björn
Tsei, Senam Kofi
author_sort Tsei, Senam Kofi
collection Thesis
description Numerous Argo floats (approximately 3800 floats) have been deployed in the world's oceans to gather hydrographic and biogeochemical data from the upper 2000 m. However, limited research has been done on the spatial and temporal distribution and potential sampling bias of Argo profiling floats brought on by the effects of bathymetric steering of currents, as well as oceanic features, such as meanders and eddies, that affect their distribution over the global ocean. This study investigates the sampling distribution of profiling floats and assesses the mechanisms that impact their trajectories and distribution in the Atlantic sector of the Southern Ocean. The study reveals that Argo floats are influenced and steered towards frontal jets, which in turn are steered by the underlying bathymetry. Argo floats have a 30 % higher probability of sampling regions where depths range from 4000 - 5000 m, rather than shallow regions of the oceans. Using bootstrapping, this result was shown to be statistically significant at the 95 % confidence interval. The sampling bias is associated with floats becoming entrained into deep reaching frontal jets that occur in the Southern Ocean and dominate the deeper waters. This is shown by analyzing the Argo float positions in relation to mean geostrophic currents which shows that there is a 40 % higher probability (statistically significant at the 95 % confidence level) of finding Argo floats in regions where geostrophic currents range from 0.1 - 0.22 m.s-1 even though the majority of surface currents in the Southern Ocean are found below 0.05 m.s-1. This indicates a non-uniform distribution of Argo floats in the Southern Ocean, which leads to a spatial sampling bias in the float data. This has implications for how we characterize the oceanography or understand the distribution and variability of oceanographic processes and its relation to climate.
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id oai:open.uct.ac.za:11427/20017
institution University of Cape Town (South Africa)
language eng
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
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publisher Department of Oceanography
publisherStr Department of Oceanography
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/20017 An investigation into the sampling bias of Argo profiling floats in the Southern Ocean Tsei, Senam Kofi Backeberg, Björn Applied Marine Science Numerous Argo floats (approximately 3800 floats) have been deployed in the world's oceans to gather hydrographic and biogeochemical data from the upper 2000 m. However, limited research has been done on the spatial and temporal distribution and potential sampling bias of Argo profiling floats brought on by the effects of bathymetric steering of currents, as well as oceanic features, such as meanders and eddies, that affect their distribution over the global ocean. This study investigates the sampling distribution of profiling floats and assesses the mechanisms that impact their trajectories and distribution in the Atlantic sector of the Southern Ocean. The study reveals that Argo floats are influenced and steered towards frontal jets, which in turn are steered by the underlying bathymetry. Argo floats have a 30 % higher probability of sampling regions where depths range from 4000 - 5000 m, rather than shallow regions of the oceans. Using bootstrapping, this result was shown to be statistically significant at the 95 % confidence interval. The sampling bias is associated with floats becoming entrained into deep reaching frontal jets that occur in the Southern Ocean and dominate the deeper waters. This is shown by analyzing the Argo float positions in relation to mean geostrophic currents which shows that there is a 40 % higher probability (statistically significant at the 95 % confidence level) of finding Argo floats in regions where geostrophic currents range from 0.1 - 0.22 m.s-1 even though the majority of surface currents in the Southern Ocean are found below 0.05 m.s-1. This indicates a non-uniform distribution of Argo floats in the Southern Ocean, which leads to a spatial sampling bias in the float data. This has implications for how we characterize the oceanography or understand the distribution and variability of oceanographic processes and its relation to climate. 2016-06-10T10:55:26Z 2016-06-10T10:55:26Z 2015 Master Thesis Masters MSc http://hdl.handle.net/11427/20017 eng application/pdf Department of Oceanography Faculty of Science University of Cape Town
spellingShingle Applied Marine Science
Tsei, Senam Kofi
An investigation into the sampling bias of Argo profiling floats in the Southern Ocean
thesis_degree_str Master's
title An investigation into the sampling bias of Argo profiling floats in the Southern Ocean
title_full An investigation into the sampling bias of Argo profiling floats in the Southern Ocean
title_fullStr An investigation into the sampling bias of Argo profiling floats in the Southern Ocean
title_full_unstemmed An investigation into the sampling bias of Argo profiling floats in the Southern Ocean
title_short An investigation into the sampling bias of Argo profiling floats in the Southern Ocean
title_sort investigation into the sampling bias of argo profiling floats in the southern ocean
topic Applied Marine Science
url http://hdl.handle.net/11427/20017
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