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

International audience We have estimated global air-sea CO 2 fluxes (fgCO 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 (pCO 2) maps trained with gridded data from the Surface Ocean CO...

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Published in:Biogeosciences
Main Authors: Chau, Thi Tuyet Trang, Gehlen, Marion, Chevallier, Frederic, Chau, Thi
Other Authors: Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV), This research has been supported by the European Copernicus Marine Environment Monitoring Service (CMEMS) for the MOB TAC project in 2018–2021 (83-CMEMSTAC-MOB contract, https://marine.copernicus.eu/about/producers/ mob-tac, last access: 27 July 2021).
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2022
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-03599212
https://hal.archives-ouvertes.fr/hal-03599212/document
https://hal.archives-ouvertes.fr/hal-03599212/file/bg-19-1087-2022.pdf
https://doi.org/10.5194/bg-19-1087-2022
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record_format openpolar
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
spellingShingle [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
Chau, Thi Tuyet Trang
Gehlen, Marion
Chevallier, Frederic
Chau, Thi
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 [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces
environment
description International audience We have estimated global air-sea CO 2 fluxes (fgCO 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 (pCO 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 ±1σ. 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 pCO 2 are primarily found over the coasts and/or in regions with sparse observations, while fgCO 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 +0.062 ± 0.006 PgC yr −2 and a temporal standard deviation of 0.526 ± 0.022 PgC yr −1 over the 35-year period. The link between the large interannual to multi-year variations of the global net sink and the El Niño-Southern ...
author2 Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV)
This research has been supported by the European Copernicus Marine Environment Monitoring Service (CMEMS) for the MOB TAC project in 2018–2021 (83-CMEMSTAC-MOB contract, https://marine.copernicus.eu/about/producers/ mob-tac, last access: 27 July 2021).
format Article in Journal/Newspaper
author Chau, Thi Tuyet Trang
Gehlen, Marion
Chevallier, Frederic
Chau, Thi
author_facet Chau, Thi Tuyet Trang
Gehlen, Marion
Chevallier, Frederic
Chau, Thi
author_sort Chau, Thi Tuyet Trang
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 HAL CCSD
publishDate 2022
url https://hal.archives-ouvertes.fr/hal-03599212
https://hal.archives-ouvertes.fr/hal-03599212/document
https://hal.archives-ouvertes.fr/hal-03599212/file/bg-19-1087-2022.pdf
https://doi.org/10.5194/bg-19-1087-2022
geographic Arctic
Indian
Pacific
Southern Ocean
geographic_facet Arctic
Indian
Pacific
Southern Ocean
genre Arctic
Southern Ocean
genre_facet Arctic
Southern Ocean
op_source ISSN: 1726-4170
EISSN: 1726-4189
Biogeosciences
https://hal.archives-ouvertes.fr/hal-03599212
Biogeosciences, European Geosciences Union, 2022, 19 (4), pp.1087 - 1109. ⟨10.5194/bg-19-1087-2022⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/bg-19-1087-2022
hal-03599212
https://hal.archives-ouvertes.fr/hal-03599212
https://hal.archives-ouvertes.fr/hal-03599212/document
https://hal.archives-ouvertes.fr/hal-03599212/file/bg-19-1087-2022.pdf
doi:10.5194/bg-19-1087-2022
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
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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spelling ftunivnantes:oai:HAL:hal-03599212v1 2023-05-15T15:19:02+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 Chau, Thi Tuyet Trang Gehlen, Marion Chevallier, Frederic Chau, Thi Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV) This research has been supported by the European Copernicus Marine Environment Monitoring Service (CMEMS) for the MOB TAC project in 2018–2021 (83-CMEMSTAC-MOB contract, https://marine.copernicus.eu/about/producers/ mob-tac, last access: 27 July 2021). 2022-02-21 https://hal.archives-ouvertes.fr/hal-03599212 https://hal.archives-ouvertes.fr/hal-03599212/document https://hal.archives-ouvertes.fr/hal-03599212/file/bg-19-1087-2022.pdf https://doi.org/10.5194/bg-19-1087-2022 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/bg-19-1087-2022 hal-03599212 https://hal.archives-ouvertes.fr/hal-03599212 https://hal.archives-ouvertes.fr/hal-03599212/document https://hal.archives-ouvertes.fr/hal-03599212/file/bg-19-1087-2022.pdf doi:10.5194/bg-19-1087-2022 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1726-4170 EISSN: 1726-4189 Biogeosciences https://hal.archives-ouvertes.fr/hal-03599212 Biogeosciences, European Geosciences Union, 2022, 19 (4), pp.1087 - 1109. ⟨10.5194/bg-19-1087-2022⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2022 ftunivnantes https://doi.org/10.5194/bg-19-1087-2022 2022-10-18T23:20:46Z International audience We have estimated global air-sea CO 2 fluxes (fgCO 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 (pCO 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 ±1σ. 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 pCO 2 are primarily found over the coasts and/or in regions with sparse observations, while fgCO 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 +0.062 ± 0.006 PgC yr −2 and a temporal standard deviation of 0.526 ± 0.022 PgC yr −1 over the 35-year period. The link between the large interannual to multi-year variations of the global net sink and the El Niño-Southern ... Article in Journal/Newspaper Arctic Southern Ocean Université de Nantes: HAL-UNIV-NANTES Arctic Indian Pacific Southern Ocean Biogeosciences 19 4 1087 1109