A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 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: Chau, Thi Tuyet Trang, Gehlen, Marion, Chevallier, Frédéric
Format: Text
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.5194/bg-19-1087-2022
https://bg.copernicus.org/articles/19/1087/2022/
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spelling ftcopernicus:oai:publications.copernicus.org:bg96663 2023-05-15T15:19:36+02:00 A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans Chau, Thi Tuyet Trang Gehlen, Marion Chevallier, Frédéric 2022-02-21 application/pdf https://doi.org/10.5194/bg-19-1087-2022 https://bg.copernicus.org/articles/19/1087/2022/ eng eng doi:10.5194/bg-19-1087-2022 https://bg.copernicus.org/articles/19/1087/2022/ eISSN: 1726-4189 Text 2022 ftcopernicus https://doi.org/10.5194/bg-19-1087-2022 2022-02-28T17:22:17Z 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 mathvariant="normal">0.006</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="76pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="cc04dd43dbc4d8e7219a1e12606bad01"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-19-1087-2022-ie00001.svg" width="76pt" height="10pt" src="bg-19-1087-2022-ie00001.png"/></svg:svg> 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 Oscillation climate variability is reconfirmed. Text Arctic Southern Ocean Copernicus Publications: E-Journals Arctic Indian Pacific Southern Ocean Biogeosciences 19 4 1087 1109
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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 mathvariant="normal">0.006</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="76pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="cc04dd43dbc4d8e7219a1e12606bad01"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-19-1087-2022-ie00001.svg" width="76pt" height="10pt" src="bg-19-1087-2022-ie00001.png"/></svg:svg> 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 Oscillation climate variability is reconfirmed.
format Text
author Chau, Thi Tuyet Trang
Gehlen, Marion
Chevallier, Frédéric
spellingShingle Chau, Thi Tuyet Trang
Gehlen, Marion
Chevallier, Frédéric
A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans
author_facet Chau, Thi Tuyet Trang
Gehlen, Marion
Chevallier, Frédéric
author_sort Chau, Thi Tuyet Trang
title A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans
title_short A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans
title_full A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans
title_fullStr A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans
title_full_unstemmed A seamless ensemble-based reconstruction of surface ocean pCO2 and air–sea CO2 fluxes over the global coastal and open oceans
title_sort seamless ensemble-based reconstruction of surface ocean pco2 and air–sea co2 fluxes over the global coastal and open oceans
publishDate 2022
url https://doi.org/10.5194/bg-19-1087-2022
https://bg.copernicus.org/articles/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 eISSN: 1726-4189
op_relation doi:10.5194/bg-19-1087-2022
https://bg.copernicus.org/articles/19/1087/2022/
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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