Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean

Includes bibliographical references. A model study was undertaken to investigate the optimization of sampling strategies for returning low-uncertainty sea-air CO₂ flux measurements in the Southern Ocean. Replicating Lenton et al. (2006) using the ORCA2/PISCES ocean biological model shows that sampli...

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Bibliographic Details
Main Author: Pringle, Nicholas
Other Authors: Monteiro, Pedro M S, Waldron, Howard
Format: Master Thesis
Language:English
Published: University of Cape Town 2014
Subjects:
Online Access:http://hdl.handle.net/11427/13383
https://open.uct.ac.za/bitstream/11427/13383/1/thesis_sci_2014_pringle_n.pdf
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spelling ftunivcapetownir:oai:localhost:11427/13383 2023-05-15T18:24:28+02:00 Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean Pringle, Nicholas Monteiro, Pedro M S Waldron, Howard 2014 application/pdf http://hdl.handle.net/11427/13383 https://open.uct.ac.za/bitstream/11427/13383/1/thesis_sci_2014_pringle_n.pdf eng eng University of Cape Town Faculty of Science Department of Oceanography http://hdl.handle.net/11427/13383 https://open.uct.ac.za/bitstream/11427/13383/1/thesis_sci_2014_pringle_n.pdf Oceanography Master Thesis Masters MSc 2014 ftunivcapetownir 2022-09-13T05:47:07Z Includes bibliographical references. A model study was undertaken to investigate the optimization of sampling strategies for returning low-uncertainty sea-air CO₂ flux measurements in the Southern Ocean. Replicating Lenton et al. (2006) using the ORCA2/PISCES ocean biological model shows that sampling 4 times a year, every 2⁰ in latitude and every 40⁰ in longitude reduces the uncertainty of estimating annual CO₂ flux estimates such that sampling at a higher frequency does not reduce the total uncertainty in proportion to the increase in sampling effort. Master Thesis Southern Ocean University of Cape Town: OpenUCT Southern Ocean
institution Open Polar
collection University of Cape Town: OpenUCT
op_collection_id ftunivcapetownir
language English
topic Oceanography
spellingShingle Oceanography
Pringle, Nicholas
Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean
topic_facet Oceanography
description Includes bibliographical references. A model study was undertaken to investigate the optimization of sampling strategies for returning low-uncertainty sea-air CO₂ flux measurements in the Southern Ocean. Replicating Lenton et al. (2006) using the ORCA2/PISCES ocean biological model shows that sampling 4 times a year, every 2⁰ in latitude and every 40⁰ in longitude reduces the uncertainty of estimating annual CO₂ flux estimates such that sampling at a higher frequency does not reduce the total uncertainty in proportion to the increase in sampling effort.
author2 Monteiro, Pedro M S
Waldron, Howard
format Master Thesis
author Pringle, Nicholas
author_facet Pringle, Nicholas
author_sort Pringle, Nicholas
title Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean
title_short Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean
title_full Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean
title_fullStr Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean
title_full_unstemmed Exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean
title_sort exploring optimising strategies for sampling air-sea carbon dioxide flux in the southern ocean
publisher University of Cape Town
publishDate 2014
url http://hdl.handle.net/11427/13383
https://open.uct.ac.za/bitstream/11427/13383/1/thesis_sci_2014_pringle_n.pdf
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation http://hdl.handle.net/11427/13383
https://open.uct.ac.za/bitstream/11427/13383/1/thesis_sci_2014_pringle_n.pdf
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