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dc.contributor.authorLi, Wei
dc.contributor.authorCiais, Philippe
dc.contributor.authorWang, Yilong
dc.contributor.authorPeng, Shushi
dc.contributor.authorBroquet, Grégoire
dc.contributor.authorBallantyne, Ashley P.
dc.contributor.authorCanadell, Josep G.
dc.contributor.authorCooper, Leila
dc.contributor.authorFriedlingstein, Pierre
dc.contributor.authorLe Quéré, Corinne
dc.contributor.authorMyneni, Ranga B.
dc.contributor.authorPeters, Glen Philip
dc.contributor.authorPiao, Shilong
dc.contributor.authorPongratz, Julia
dc.date.accessioned2017-11-14T11:36:29Z
dc.date.available2017-11-14T11:36:29Z
dc.date.created2017-01-13T11:23:27Z
dc.date.issued2016
dc.identifier.citationProceedings of the National Academy of Sciences of the United States of America. 2016, 113 (46), 13104-13108.nb_NO
dc.identifier.issn0027-8424
dc.identifier.urihttp://hdl.handle.net/11250/2466142
dc.description.abstractConventional calculations of the global carbon budget infer the land sink as a residual between emissions, atmospheric accumulation, and the ocean sink. Thus, the land sink accumulates the errors from the other flux terms and bears the largest uncertainty. Here, we present a Bayesian fusion approach that combines multiple observations in different carbon reservoirs to optimize the land (B) and ocean (O) carbon sinks, land use change emissions (L), and indirectly fossil fuel emissions (F) from 1980 to 2014. Compared with the conventional approach, Bayesian optimization decreases the uncertainties in B by 41% and in O by 46%. The L uncertainty decreases by 47%, whereas F uncertainty is marginally improved through the knowledge of natural fluxes. Both ocean and net land uptake (B + L) rates have positive trends of 29 ± 8 and 37 ± 17 Tg C⋅y−2 since 1980, respectively. Our Bayesian fusion of multiple observations reduces uncertainties, thereby allowing us to isolate important variability in global carbon cycle processes.nb_NO
dc.language.isoengnb_NO
dc.titleReducing uncertainties in decadal variability of the global carbon budget with multiple datasetsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber13104-13108nb_NO
dc.source.volume113nb_NO
dc.source.journalProceedings of the National Academy of Sciences of the United States of Americanb_NO
dc.source.issue46nb_NO
dc.identifier.doi10.1073/pnas.1603956113
dc.identifier.cristin1426584
dc.relation.projectNorges forskningsråd: 259665nb_NO
cristin.unitcode7475,0,0,0
cristin.unitnameCICERO Senter for klimaforskning
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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