The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach

The Southern Ocean is a complex system yet is sparsely sampled in both space and time. These factors raise questions about the confidence in present sampling strategies and associated machine learning (ML) reconstructions. Previous studies have not yielded a clear understanding of the origin of unce...

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Published in:Biogeosciences
Main Authors: L. M. Djeutchouang, N. Chang, L. Gregor, M. Vichi, P. M. S. Monteiro
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/bg-19-4171-2022
https://doaj.org/article/2c99341eaafe4e46b0bac103b125b0a3
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spelling ftdoajarticles:oai:doaj.org/article:2c99341eaafe4e46b0bac103b125b0a3 2023-05-15T13:54:48+02:00 The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach L. M. Djeutchouang N. Chang L. Gregor M. Vichi P. M. S. Monteiro 2022-09-01T00:00:00Z https://doi.org/10.5194/bg-19-4171-2022 https://doaj.org/article/2c99341eaafe4e46b0bac103b125b0a3 EN eng Copernicus Publications https://bg.copernicus.org/articles/19/4171/2022/bg-19-4171-2022.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-19-4171-2022 1726-4170 1726-4189 https://doaj.org/article/2c99341eaafe4e46b0bac103b125b0a3 Biogeosciences, Vol 19, Pp 4171-4195 (2022) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/bg-19-4171-2022 2022-12-31T00:28:49Z The Southern Ocean is a complex system yet is sparsely sampled in both space and time. These factors raise questions about the confidence in present sampling strategies and associated machine learning (ML) reconstructions. Previous studies have not yielded a clear understanding of the origin of uncertainties and biases for the reconstructions of the partial pressure of carbon dioxide ( p CO 2 ) at the surface ocean ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi>p</mi><msubsup><mi mathvariant="normal">CO</mi><mn mathvariant="normal">2</mn><mi mathvariant="normal">ocean</mi></msubsup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="47pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="384f359723e12c1d22fe40db07699d29"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-19-4171-2022-ie00001.svg" width="47pt" height="15pt" src="bg-19-4171-2022-ie00001.png"/></svg:svg> ). We examine these questions through a series of semi-idealized observing system simulation experiments (OSSEs) using a high-resolution ( ± 10 km) coupled physical and biogeochemical model (NEMO-PISCES, Nucleus for European Modelling of the Ocean, Pelagic Interactions Scheme for Carbon and Ecosystem Studies). Here we choose 1 year of the model sub-domain of 10 ∘ of latitude (40–50 ∘ S) by 20 ∘ of longitude (10 ∘ W–10 ∘ E). This domain is crossed by the sub-Antarctic front and thus includes both the sub-Antarctic zone and the polar frontal zone in the south-east Atlantic Ocean, which are the two most sampled sub-regions of the Southern Ocean. We show that while this sub-domain is small relative to the Southern Ocean scales, it is representative of the scales of variability we aim to examine. The OSSEs simulated the observational scales of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" ... Article in Journal/Newspaper Antarc* Antarctic Southern Ocean Directory of Open Access Journals: DOAJ Articles Antarctic Southern Ocean Biogeosciences 19 17 4171 4195
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Ecology
QH540-549.5
Life
QH501-531
Geology
QE1-996.5
spellingShingle Ecology
QH540-549.5
Life
QH501-531
Geology
QE1-996.5
L. M. Djeutchouang
N. Chang
L. Gregor
M. Vichi
P. M. S. Monteiro
The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
topic_facet Ecology
QH540-549.5
Life
QH501-531
Geology
QE1-996.5
description The Southern Ocean is a complex system yet is sparsely sampled in both space and time. These factors raise questions about the confidence in present sampling strategies and associated machine learning (ML) reconstructions. Previous studies have not yielded a clear understanding of the origin of uncertainties and biases for the reconstructions of the partial pressure of carbon dioxide ( p CO 2 ) at the surface ocean ( <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi>p</mi><msubsup><mi mathvariant="normal">CO</mi><mn mathvariant="normal">2</mn><mi mathvariant="normal">ocean</mi></msubsup></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="47pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="384f359723e12c1d22fe40db07699d29"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-19-4171-2022-ie00001.svg" width="47pt" height="15pt" src="bg-19-4171-2022-ie00001.png"/></svg:svg> ). We examine these questions through a series of semi-idealized observing system simulation experiments (OSSEs) using a high-resolution ( ± 10 km) coupled physical and biogeochemical model (NEMO-PISCES, Nucleus for European Modelling of the Ocean, Pelagic Interactions Scheme for Carbon and Ecosystem Studies). Here we choose 1 year of the model sub-domain of 10 ∘ of latitude (40–50 ∘ S) by 20 ∘ of longitude (10 ∘ W–10 ∘ E). This domain is crossed by the sub-Antarctic front and thus includes both the sub-Antarctic zone and the polar frontal zone in the south-east Atlantic Ocean, which are the two most sampled sub-regions of the Southern Ocean. We show that while this sub-domain is small relative to the Southern Ocean scales, it is representative of the scales of variability we aim to examine. The OSSEs simulated the observational scales of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M14" display="inline" ...
format Article in Journal/Newspaper
author L. M. Djeutchouang
N. Chang
L. Gregor
M. Vichi
P. M. S. Monteiro
author_facet L. M. Djeutchouang
N. Chang
L. Gregor
M. Vichi
P. M. S. Monteiro
author_sort L. M. Djeutchouang
title The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
title_short The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
title_full The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
title_fullStr The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
title_full_unstemmed The sensitivity of p CO 2 reconstructions to sampling scales across a Southern Ocean sub-domain: a semi-idealized ocean sampling simulation approach
title_sort sensitivity of p co 2 reconstructions to sampling scales across a southern ocean sub-domain: a semi-idealized ocean sampling simulation approach
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/bg-19-4171-2022
https://doaj.org/article/2c99341eaafe4e46b0bac103b125b0a3
geographic Antarctic
Southern Ocean
geographic_facet Antarctic
Southern Ocean
genre Antarc*
Antarctic
Southern Ocean
genre_facet Antarc*
Antarctic
Southern Ocean
op_source Biogeosciences, Vol 19, Pp 4171-4195 (2022)
op_relation https://bg.copernicus.org/articles/19/4171/2022/bg-19-4171-2022.pdf
https://doaj.org/toc/1726-4170
https://doaj.org/toc/1726-4189
doi:10.5194/bg-19-4171-2022
1726-4170
1726-4189
https://doaj.org/article/2c99341eaafe4e46b0bac103b125b0a3
op_doi https://doi.org/10.5194/bg-19-4171-2022
container_title Biogeosciences
container_volume 19
container_issue 17
container_start_page 4171
op_container_end_page 4195
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