Show simple item record

dc.contributor.authorThompson, R. L.
dc.contributor.authorIshijima, K.
dc.contributor.authorCorazza, M.
dc.contributor.authorKarstens, U.
dc.contributor.authorPatra, P. K.
dc.contributor.authorBergamaschi, P.
dc.contributor.authorChevallier, F.
dc.contributor.authorDlugokencky, E.
dc.contributor.authorWeiss, R. F.
dc.contributor.authorO'Doherty, Simon
dc.contributor.authorFraser, P. J.
dc.contributor.authorSteele, L. P.
dc.contributor.authorKrummel, P. B.
dc.contributor.authorVermeulen, A.
dc.contributor.authorTohjima, Y.
dc.contributor.authorJordan, Andres
dc.contributor.authorHaszpra, L.
dc.contributor.authorSteinbacher, M.
dc.contributor.authorVan der Laan, S.
dc.contributor.authorAalto, T.
dc.contributor.authorMeinhardt, F.
dc.contributor.authorPopa, M. E.
dc.contributor.authorMoncrieff, J.
dc.contributor.authorBousquet, P.
dc.contributor.authorSaikawa, Eri
dc.contributor.authorPrinn, Ronald G.
dc.date.accessioned2014-09-19T14:22:32Z
dc.date.available2014-09-19T14:22:32Z
dc.date.issued2014-06
dc.date.submitted2014-05
dc.identifier.issn1680-7324
dc.identifier.issn1680-7316
dc.identifier.urihttp://hdl.handle.net/1721.1/89835
dc.description.abstractThis study examines N[subscript 2]O emission estimates from five different atmospheric inversion frameworks based on chemistry transport models (CTMs). The five frameworks differ in the choice of CTM, meteorological data, prior uncertainties and inversion method but use the same prior emissions and observation data set. The posterior modelled atmospheric N[subscript 2]O mole fractions are compared to observations to assess the performance of the inversions and to help diagnose problems in the modelled transport. Additionally, the mean emissions for 2006 to 2008 are compared in terms of the spatial distribution and seasonality. Overall, there is a good agreement among the inversions for the mean global total emission, which ranges from 16.1 to 18.7 TgN yr[superscript −1] and is consistent with previous estimates. Ocean emissions represent between 31 and 38% of the global total compared to widely varying previous estimates of 24 to 38%. Emissions from the northern mid- to high latitudes are likely to be more important, with a consistent shift in emissions from the tropics and subtropics to the mid- to high latitudes in the Northern Hemisphere; the emission ratio for 0–30° N to 30–90° N ranges from 1.5 to 1.9 compared with 2.9 to 3.0 in previous estimates. The largest discrepancies across inversions are seen for the regions of South and East Asia and for tropical and South America owing to the poor observational constraint for these areas and to considerable differences in the modelled transport, especially inter-hemispheric exchange rates and tropical convective mixing. Estimates of the seasonal cycle in N[subscript 2]O emissions are also sensitive to errors in modelled stratosphere-to-troposphere transport in the tropics and southern extratropics. Overall, the results show a convergence in the global and regional emissions compared to previous independent studies.en_US
dc.language.isoen_US
dc.publisherCopernicus GmbHen_US
dc.relation.isversionofhttp://dx.doi.org/10.5194/acp-14-6177-2014en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en_US
dc.sourceCopernicus Publicationsen_US
dc.titleTransCom N[subscript 2]O model inter-comparison – Part 2: Atmospheric inversion estimates of N[subscript 2]O emissionsen_US
dc.typeArticleen_US
dc.identifier.citationThompson, R. L., K. Ishijima, E. Saikawa, M. Corazza, U. Karstens, P. K. Patra, P. Bergamaschi, et al. “TransCom N[subscript 2]O Model Inter-Comparison – Part 2: Atmospheric Inversion Estimates of N[subscript 2]O Emissions.” Atmospheric Chemistry and Physics 14, no. 12 (2014): 6177–6194.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Global Change Scienceen_US
dc.contributor.mitauthorSaikawa, Erien_US
dc.contributor.mitauthorPrinn, Ronald G.en_US
dc.relation.journalAtmospheric Chemistry and Physicsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsThompson, R. L.; Ishijima, K.; Saikawa, E.; Corazza, M.; Karstens, U.; Patra, P. K.; Bergamaschi, P.; Chevallier, F.; Dlugokencky, E.; Prinn, R. G.; Weiss, R. F.; O'Doherty, S.; Fraser, P. J.; Steele, L. P.; Krummel, P. B.; Vermeulen, A.; Tohjima, Y.; Jordan, A.; Haszpra, L.; Steinbacher, M.; Van der Laan, S.; Aalto, T.; Meinhardt, F.; Popa, M. E.; Moncrieff, J.; Bousquet, P.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5925-3801
dc.identifier.orcidhttps://orcid.org/0000-0003-2233-8945
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record