A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans

We have estimated global air–sea CO 2 fluxes ( fg CO 2 ) from the open ocean to coastal seas. Fluxes and associated uncertainty are computed from an ensemble-based reconstruction of CO 2 sea surface partial pressure ( p CO 2 ) maps trained with gridded data from the Surface Ocean CO 2 Atlas v2020 da...

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Published in:Biogeosciences
Main Authors: T. T. T. Chau, M. Gehlen, F. Chevallier
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/bg-19-1087-2022
https://doaj.org/article/4b1dfe91d52b40849d4586954f9592d0
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spelling ftdoajarticles:oai:doaj.org/article:4b1dfe91d52b40849d4586954f9592d0 2023-05-15T15:17:54+02:00 A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans T. T. T. Chau M. Gehlen F. Chevallier 2022-02-01T00:00:00Z https://doi.org/10.5194/bg-19-1087-2022 https://doaj.org/article/4b1dfe91d52b40849d4586954f9592d0 EN eng Copernicus Publications https://bg.copernicus.org/articles/19/1087/2022/bg-19-1087-2022.pdf https://doaj.org/toc/1726-4170 https://doaj.org/toc/1726-4189 doi:10.5194/bg-19-1087-2022 1726-4170 1726-4189 https://doaj.org/article/4b1dfe91d52b40849d4586954f9592d0 Biogeosciences, Vol 19, Pp 1087-1109 (2022) Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/bg-19-1087-2022 2022-12-31T15:10:21Z We have estimated global air–sea CO 2 fluxes ( fg CO 2 ) from the open ocean to coastal seas. Fluxes and associated uncertainty are computed from an ensemble-based reconstruction of CO 2 sea surface partial pressure ( p CO 2 ) maps trained with gridded data from the Surface Ocean CO 2 Atlas v2020 database. The ensemble mean (which is the best estimate provided by the approach) fits independent data well, and a broad agreement between the spatial distribution of model–data differences and the ensemble standard deviation (which is our model uncertainty estimate) is seen. Ensemble-based uncertainty estimates are denoted by ±1 σ . The space–time-varying uncertainty fields identify oceanic regions where improvements in data reconstruction and extensions of the observational network are needed. Poor reconstructions of p CO 2 are primarily found over the coasts and/or in regions with sparse observations, while fg CO 2 estimates with the largest uncertainty are observed over the open Southern Ocean (44 ∘ S southward), the subpolar regions, the Indian Ocean gyre, and upwelling systems. Our estimate of the global net sink for the period 1985–2019 is 1.643±0.125 PgC yr −1 including 0.150±0.010 PgC yr −1 for the coastal net sink. Among the ocean basins, the Subtropical Pacific (18–49 ∘ N) and the Subpolar Atlantic (49–76 ∘ N) appear to be the strongest CO 2 sinks for the open ocean and the coastal ocean, respectively. Based on mean flux density per unit area, the most intense CO 2 drawdown is, however, observed over the Arctic (76 ∘ N poleward) followed by the Subpolar Atlantic and Subtropical Pacific for both open-ocean and coastal sectors. Reconstruction results also show significant changes in the global annual integral of all open- and coastal-ocean CO 2 fluxes with a growth rate of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M26" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mn mathvariant="normal">0.062</mn><mo>±</mo><mn ... Article in Journal/Newspaper Arctic Southern Ocean Directory of Open Access Journals: DOAJ Articles Arctic Southern Ocean Pacific Indian Biogeosciences 19 4 1087 1109
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
T. T. T. Chau
M. Gehlen
F. Chevallier
A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans
topic_facet Ecology
QH540-549.5
Life
QH501-531
Geology
QE1-996.5
description We have estimated global air–sea CO 2 fluxes ( fg CO 2 ) from the open ocean to coastal seas. Fluxes and associated uncertainty are computed from an ensemble-based reconstruction of CO 2 sea surface partial pressure ( p CO 2 ) maps trained with gridded data from the Surface Ocean CO 2 Atlas v2020 database. The ensemble mean (which is the best estimate provided by the approach) fits independent data well, and a broad agreement between the spatial distribution of model–data differences and the ensemble standard deviation (which is our model uncertainty estimate) is seen. Ensemble-based uncertainty estimates are denoted by ±1 σ . The space–time-varying uncertainty fields identify oceanic regions where improvements in data reconstruction and extensions of the observational network are needed. Poor reconstructions of p CO 2 are primarily found over the coasts and/or in regions with sparse observations, while fg CO 2 estimates with the largest uncertainty are observed over the open Southern Ocean (44 ∘ S southward), the subpolar regions, the Indian Ocean gyre, and upwelling systems. Our estimate of the global net sink for the period 1985–2019 is 1.643±0.125 PgC yr −1 including 0.150±0.010 PgC yr −1 for the coastal net sink. Among the ocean basins, the Subtropical Pacific (18–49 ∘ N) and the Subpolar Atlantic (49–76 ∘ N) appear to be the strongest CO 2 sinks for the open ocean and the coastal ocean, respectively. Based on mean flux density per unit area, the most intense CO 2 drawdown is, however, observed over the Arctic (76 ∘ N poleward) followed by the Subpolar Atlantic and Subtropical Pacific for both open-ocean and coastal sectors. Reconstruction results also show significant changes in the global annual integral of all open- and coastal-ocean CO 2 fluxes with a growth rate of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M26" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mn mathvariant="normal">0.062</mn><mo>±</mo><mn ...
format Article in Journal/Newspaper
author T. T. T. Chau
M. Gehlen
F. Chevallier
author_facet T. T. T. Chau
M. Gehlen
F. Chevallier
author_sort T. T. T. Chau
title A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans
title_short A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans
title_full A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans
title_fullStr A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans
title_full_unstemmed A seamless ensemble-based reconstruction of surface ocean p CO 2 and air–sea CO 2 fluxes over the global coastal and open oceans
title_sort seamless ensemble-based reconstruction of surface ocean p co 2 and air–sea co 2 fluxes over the global coastal and open oceans
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/bg-19-1087-2022
https://doaj.org/article/4b1dfe91d52b40849d4586954f9592d0
geographic Arctic
Southern Ocean
Pacific
Indian
geographic_facet Arctic
Southern Ocean
Pacific
Indian
genre Arctic
Southern Ocean
genre_facet Arctic
Southern Ocean
op_source Biogeosciences, Vol 19, Pp 1087-1109 (2022)
op_relation https://bg.copernicus.org/articles/19/1087/2022/bg-19-1087-2022.pdf
https://doaj.org/toc/1726-4170
https://doaj.org/toc/1726-4189
doi:10.5194/bg-19-1087-2022
1726-4170
1726-4189
https://doaj.org/article/4b1dfe91d52b40849d4586954f9592d0
op_doi https://doi.org/10.5194/bg-19-1087-2022
container_title Biogeosciences
container_volume 19
container_issue 4
container_start_page 1087
op_container_end_page 1109
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