Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/2386
CO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurements
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dc.contributor.authorChevallier, F.es_ES
dc.contributor.authorCiais, Philippees_ES
dc.contributor.authorConway, T. J.es_ES
dc.contributor.authorAalto, Tuulaes_ES
dc.contributor.authorAnderson, B. E.es_ES
dc.contributor.authorBousquet, P.es_ES
dc.contributor.authorBrunke, E.-G.es_ES
dc.contributor.authorCiattaglia, L.es_ES
dc.contributor.authorEsaki, Y.es_ES
dc.contributor.authorFröhlich, M.es_ES
dc.contributor.authorGómez, A.es_ES
dc.contributor.authorGómez Peláez, Ángel Jesúses_ES
dc.contributor.authorHaszpra, L.es_ES
dc.contributor.authorKrummel, Paul B.es_ES
dc.contributor.authorLangenfelds, Ray L.es_ES
dc.contributor.authorLeuenberger, Markus C.es_ES
dc.contributor.authorMachida, T.es_ES
dc.contributor.authorMaignan, F.es_ES
dc.contributor.authorMatsueda, H.es_ES
dc.contributor.authorMorguí, J. A.es_ES
dc.contributor.authorMukai, Hitoshies_ES
dc.contributor.authorNakazawa, Tetsuoes_ES
dc.contributor.authorPeylin, P.es_ES
dc.contributor.authorRamonet, M.es_ES
dc.contributor.authorRivier, L.es_ES
dc.contributor.authorSawa, Y.es_ES
dc.contributor.authorSchmidt, M.es_ES
dc.contributor.authorSteele, Paules_ES
dc.contributor.authorVay, S. A.es_ES
dc.contributor.authorVermeulen, A. T.es_ES
dc.contributor.authorWofsy, S.es_ES
dc.contributor.authorWorthy, Douglas E.es_ES
dc.date.accessioned2016-05-06T08:30:57Z-
dc.date.available2016-05-06T08:30:57Z-
dc.date.issued2010-
dc.identifier.citationJournal of Geophysical Research: Atmospheres. 2010, 115(D21), p. D21307-D21307es_ES
dc.identifier.issn2169-897X-
dc.identifier.issn2169-8996-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/2386-
dc.description.abstractThis paper documents a global Bayesian variational inversion of CO2 surface fluxes during the period 1988–2008. Weekly fluxes are estimated on a 3.75° × 2.5° (longitude-latitude) grid throughout the 21 years. The assimilated observations include 128 station records from three large data sets of surface CO2 mixing ratio measurements. A Monte Carlo approach rigorously quantifies the theoretical uncertainty of the inverted fluxes at various space and time scales, which is particularly important for proper interpretation of the inverted fluxes. Fluxes are evaluated indirectly against two independent CO2 vertical profile data sets constructed from aircraft measurements in the boundary layer and in the free troposphere. The skill of the inversion is evaluated by the improvement brought over a simple benchmark flux estimation based on the observed atmospheric growth rate. Our error analysis indicates that the carbon budget from the inversion should be more accurate than the a priori carbon budget by 20% to 60% for terrestrial fluxes aggregated at the scale of subcontinental regions in the Northern Hemisphere and over a year, but the inversion cannot clearly distinguish between the regional carbon budgets within a continent. On the basis of the independent observations, the inversion is seen to improve the fluxes compared to the benchmark: the atmospheric simulation of CO2 with the Bayesian inversion method is better by about 1 ppm than the benchmark in the free troposphere, despite possible systematic transport errors. The inversion achieves this improvement by changing the regional fluxes over land at the seasonal and at the interannual time scales.es_ES
dc.description.sponsorshipThis work was performed using HPC resources from GENCI‐ (CCRT/CINES/IDRIS; grant 2009‐ t2009012201). It was cofunded by the European Commission under the EU Seventh Research Framework Programme (grant agreements 212196, COCOS, and 218793, MACC).-
dc.formatapplication/pdf-
dc.language.isoenges_ES
dc.publisherAmerican Geophysical Uniones_ES
dc.subjectCO2es_ES
dc.subjectFlux inversiones_ES
dc.titleCO2 surface fluxes at grid point scale estimated from a global 21 year reanalysis of atmospheric measurementses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://dx.doi.org/10.1029/2010JD013887es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/212196-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/218793-
Appears in Collections:Artículos científicos 2010-2014


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