A joint atmosphere-ocean inversion for the estimation of seasonal carbon sources and sinks
We have estimated global surface fluxes of carbon dioxide for the period 1992–1996 using an inverse approach that sequentially considers four constraints: (1) atmospheric CO2, (2) ocean interior DIC (dissolved inorganic carbon) interpreted through an ocean interior inversion and surface ocean pCO2 (...
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Veröffentlicht in: | Global biogeochemical cycles 2013-09, Vol.27 (3), p.732-745 |
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description | We have estimated global surface fluxes of carbon dioxide for the period 1992–1996 using an inverse approach that sequentially considers four constraints: (1) atmospheric CO2, (2) ocean interior DIC (dissolved inorganic carbon) interpreted through an ocean interior inversion and surface ocean pCO2 (partial pressure of CO2), (3) annual prior fluxes for selected land regions, and (4) atmospheric model selection based on vertical transport skill. Estimated fluxes are monthly resolved for each of the 22 Transcom regions over land and ocean. The ocean constraint is particularly valuable, as it does not only add prior information about air‐sea fluxes to the inversion problem but also preserves the regional variance‐covariance structure from the underlying ocean interior inversion. It allows to constrain annual oceanic uptake of 1.8 PgCyr−1 to within 0.2 PgCyr−1, which implies a net annual land uptake of 1.3 (±0.3) PgCyr−1. Furthermore, it leads to a pronounced asymmetry in the seasonal pattern of global land uptake, which was not seen in previous atmosphere‐only inversions. Tropical land is consistently estimated to be a source of carbon, though the source magnitude is reduced as more constraints are applied. With all four constraints, the inversion suggests a net tropical source of 1.1 (±0.9) PgCyr−1, which is comparable to global estimates of deforestation rates in tropical forests and therefore implies an annually balanced tropical land biosphere flux. This balance is not found, however, at the regional level: For the Amazonian region and after accounting for deforestation, we find a biospheric source of 0.6 (±0.5) PgCyr−1. This is at the upper range of estimates from bottom‐up methods, which tend to identify the region as a sink.
Key Points
Each data constraint has a significant influence on the inverse flux estimates
Conclusions drawn from different constraints disagree in some regions
The Amazonian biosphere is estimated to release 0.6 PgC each year |
doi_str_mv | 10.1002/gbc.20064 |
format | Article |
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Key Points
Each data constraint has a significant influence on the inverse flux estimates
Conclusions drawn from different constraints disagree in some regions
The Amazonian biosphere is estimated to release 0.6 PgC each year</description><identifier>ISSN: 0886-6236</identifier><identifier>EISSN: 1944-9224</identifier><identifier>DOI: 10.1002/gbc.20064</identifier><identifier>CODEN: GBCYEP</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>air-land flux ; air-sea flux ; Animal and plant ecology ; Animal, plant and microbial ecology ; Atmosphere ; atmospheric inversion ; Biological and medical sciences ; Biosphere ; carbon cycle ; Carbon dioxide ; carbon sinks and sources ; Carbon sources ; Deforestation ; Dissolved inorganic carbon ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; General aspects ; Geochemistry ; joint inversion ; Synecology ; Tropical forests</subject><ispartof>Global biogeochemical cycles, 2013-09, Vol.27 (3), p.732-745</ispartof><rights>2013. American Geophysical Union. All Rights Reserved.</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4334-7453ffe908b4767250862789939258669d8f72021ee38cab8980358e8e74e12e3</citedby><cites>FETCH-LOGICAL-c4334-7453ffe908b4767250862789939258669d8f72021ee38cab8980358e8e74e12e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fgbc.20064$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fgbc.20064$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27892378$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Steinkamp, K.</creatorcontrib><creatorcontrib>Gruber, N.</creatorcontrib><title>A joint atmosphere-ocean inversion for the estimation of seasonal carbon sources and sinks</title><title>Global biogeochemical cycles</title><addtitle>Global Biogeochem. Cycles</addtitle><description>We have estimated global surface fluxes of carbon dioxide for the period 1992–1996 using an inverse approach that sequentially considers four constraints: (1) atmospheric CO2, (2) ocean interior DIC (dissolved inorganic carbon) interpreted through an ocean interior inversion and surface ocean pCO2 (partial pressure of CO2), (3) annual prior fluxes for selected land regions, and (4) atmospheric model selection based on vertical transport skill. Estimated fluxes are monthly resolved for each of the 22 Transcom regions over land and ocean. The ocean constraint is particularly valuable, as it does not only add prior information about air‐sea fluxes to the inversion problem but also preserves the regional variance‐covariance structure from the underlying ocean interior inversion. It allows to constrain annual oceanic uptake of 1.8 PgCyr−1 to within 0.2 PgCyr−1, which implies a net annual land uptake of 1.3 (±0.3) PgCyr−1. Furthermore, it leads to a pronounced asymmetry in the seasonal pattern of global land uptake, which was not seen in previous atmosphere‐only inversions. Tropical land is consistently estimated to be a source of carbon, though the source magnitude is reduced as more constraints are applied. With all four constraints, the inversion suggests a net tropical source of 1.1 (±0.9) PgCyr−1, which is comparable to global estimates of deforestation rates in tropical forests and therefore implies an annually balanced tropical land biosphere flux. This balance is not found, however, at the regional level: For the Amazonian region and after accounting for deforestation, we find a biospheric source of 0.6 (±0.5) PgCyr−1. This is at the upper range of estimates from bottom‐up methods, which tend to identify the region as a sink.
Key Points
Each data constraint has a significant influence on the inverse flux estimates
Conclusions drawn from different constraints disagree in some regions
The Amazonian biosphere is estimated to release 0.6 PgC each year</description><subject>air-land flux</subject><subject>air-sea flux</subject><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Atmosphere</subject><subject>atmospheric inversion</subject><subject>Biological and medical sciences</subject><subject>Biosphere</subject><subject>carbon cycle</subject><subject>Carbon dioxide</subject><subject>carbon sinks and sources</subject><subject>Carbon sources</subject><subject>Deforestation</subject><subject>Dissolved inorganic carbon</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Geochemistry</subject><subject>joint inversion</subject><subject>Synecology</subject><subject>Tropical forests</subject><issn>0886-6236</issn><issn>1944-9224</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp1kEtrVEEUhC-i4Bhd-A8aRNDFTfr9WMZBJ8oQQXyAm6anc67pyZ3uSZ87xvx7e5yYheDqQPFVcaq67jmjx4xSfvJjFY85pVo-6GbMSdk7zuXDbkat1b3mQj_uniCuKWVSKTfrvp-SdUl5ImHaFNxeQoW-RAiZpPwTKqaSyVAqmS6BAE5pE6a9VAaCELDkMJIY6qpJWHY1ApKQLwimfIVPu0dDGBGe3d2j7su7t5_nZ_3y4-L9_HTZRymE7I1UYhjAUbuSRhuuqNXcWOeE48pq7S7sYDjlDEDYGFbWWSqUBQtGAuMgjrpXh9xtLde79qTfJIwwjiFD2aFnilNhnGGsoS_-Qdft61aiUVpYrpQUe-r1gYq1IFYY_La24vXWM-r3K_u2sv-zcmNf3iUGjGEcasgx4b1hX4QLYxt3cuBu0gi3_w_0izfzv8n9wZFwgl_3jlCvvDbCKP_tfOE_8fMPZv5V-KX4DXrNmAQ</recordid><startdate>201309</startdate><enddate>201309</enddate><creator>Steinkamp, K.</creator><creator>Gruber, N.</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7TG</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>7ST</scope><scope>7TN</scope><scope>7U6</scope></search><sort><creationdate>201309</creationdate><title>A joint atmosphere-ocean inversion for the estimation of seasonal carbon sources and sinks</title><author>Steinkamp, K. ; Gruber, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4334-7453ffe908b4767250862789939258669d8f72021ee38cab8980358e8e74e12e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>air-land flux</topic><topic>air-sea flux</topic><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Atmosphere</topic><topic>atmospheric inversion</topic><topic>Biological and medical sciences</topic><topic>Biosphere</topic><topic>carbon cycle</topic><topic>Carbon dioxide</topic><topic>carbon sinks and sources</topic><topic>Carbon sources</topic><topic>Deforestation</topic><topic>Dissolved inorganic carbon</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Geochemistry</topic><topic>joint inversion</topic><topic>Synecology</topic><topic>Tropical forests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Steinkamp, K.</creatorcontrib><creatorcontrib>Gruber, N.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Global biogeochemical cycles</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steinkamp, K.</au><au>Gruber, N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A joint atmosphere-ocean inversion for the estimation of seasonal carbon sources and sinks</atitle><jtitle>Global biogeochemical cycles</jtitle><addtitle>Global Biogeochem. Cycles</addtitle><date>2013-09</date><risdate>2013</risdate><volume>27</volume><issue>3</issue><spage>732</spage><epage>745</epage><pages>732-745</pages><issn>0886-6236</issn><eissn>1944-9224</eissn><coden>GBCYEP</coden><abstract>We have estimated global surface fluxes of carbon dioxide for the period 1992–1996 using an inverse approach that sequentially considers four constraints: (1) atmospheric CO2, (2) ocean interior DIC (dissolved inorganic carbon) interpreted through an ocean interior inversion and surface ocean pCO2 (partial pressure of CO2), (3) annual prior fluxes for selected land regions, and (4) atmospheric model selection based on vertical transport skill. Estimated fluxes are monthly resolved for each of the 22 Transcom regions over land and ocean. The ocean constraint is particularly valuable, as it does not only add prior information about air‐sea fluxes to the inversion problem but also preserves the regional variance‐covariance structure from the underlying ocean interior inversion. It allows to constrain annual oceanic uptake of 1.8 PgCyr−1 to within 0.2 PgCyr−1, which implies a net annual land uptake of 1.3 (±0.3) PgCyr−1. Furthermore, it leads to a pronounced asymmetry in the seasonal pattern of global land uptake, which was not seen in previous atmosphere‐only inversions. Tropical land is consistently estimated to be a source of carbon, though the source magnitude is reduced as more constraints are applied. With all four constraints, the inversion suggests a net tropical source of 1.1 (±0.9) PgCyr−1, which is comparable to global estimates of deforestation rates in tropical forests and therefore implies an annually balanced tropical land biosphere flux. This balance is not found, however, at the regional level: For the Amazonian region and after accounting for deforestation, we find a biospheric source of 0.6 (±0.5) PgCyr−1. This is at the upper range of estimates from bottom‐up methods, which tend to identify the region as a sink.
Key Points
Each data constraint has a significant influence on the inverse flux estimates
Conclusions drawn from different constraints disagree in some regions
The Amazonian biosphere is estimated to release 0.6 PgC each year</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/gbc.20064</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | air-land flux air-sea flux Animal and plant ecology Animal, plant and microbial ecology Atmosphere atmospheric inversion Biological and medical sciences Biosphere carbon cycle Carbon dioxide carbon sinks and sources Carbon sources Deforestation Dissolved inorganic carbon Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects Geochemistry joint inversion Synecology Tropical forests |
title | A joint atmosphere-ocean inversion for the estimation of seasonal carbon sources and sinks |
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