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dc.contributor.authorEichinger, Roland
dc.contributor.authorDietmüller, Simone
dc.contributor.authorGarny, Hella
dc.contributor.authorSacha , Petr 
dc.contributor.authorBirner, Thomas
dc.contributor.authorBönisch, Harald
dc.contributor.authorPitari, Giovanni
dc.contributor.authorVisioni, Daniele
dc.contributor.authorStenke, Andrea
dc.contributor.authorRozanov, Eugene
dc.contributor.authorRevell, Laura
dc.contributor.authorPlummer, David A.
dc.contributor.authorJöckel, Patrick
dc.contributor.authorOman, Luke
dc.contributor.authorDeushi, Makoto
dc.contributor.authorKinnison, Douglas E.
dc.contributor.authorGarcia, Rolando
dc.contributor.authorMorgenstern, Olaf
dc.contributor.authorZeng, Guang
dc.contributor.authorStone, Kane Adam
dc.contributor.authorSchofield, Robyn
dc.date.accessioned2022-11-15T11:24:00Z
dc.date.available2022-11-15T11:24:00Z
dc.date.issued2019-01-24
dc.identifier.citationAtmospheric Chemistry and Physics, 19(2): 921-940 (2019)spa
dc.identifier.issn16807324
dc.identifier.urihttp://hdl.handle.net/11093/4057
dc.description.abstractClimate models consistently predict an acceleration of the Brewer–Dobson circulation (BDC) due to climate change in the 21st century. However, the strength of this acceleration varies considerably among individual models, which constitutes a notable source of uncertainty for future climate projections. To shed more light upon the magnitude of this uncertainty and on its causes, we analyse the stratospheric mean age of air (AoA) of 10 climate projection simulations from the Chemistry-Climate Model Initiative phase 1 (CCMI-I), covering the period between 1960 and 2100. In agreement with previous multi-model studies, we find a large model spread in the magnitude of the AoA trend over the simulation period. Differences between future and past AoA are found to be predominantly due to differences in mixing (reduced aging by mixing and recirculation) rather than differences in residual mean transport. We furthermore analyse the mixing efficiency, a measure of the relative strength of mixing for given residual mean transport, which was previously hypothesised to be a model constant. Here, the mixing efficiency is found to vary not only across models, but also over time in all models. Changes in mixing efficiency are shown to be closely related to changes in AoA and quantified to roughly contribute 10 % to the long-term AoA decrease over the 21st century. Additionally, mixing efficiency variations are shown to considerably enhance model spread in AoA changes. To understand these mixing efficiency variations, we also present a consistent dynamical framework based on diffusive closure, which highlights the role of basic state potential vorticity gradients in controlling mixing efficiency and therefore aging by mixing.en
dc.description.sponsorshipHelmholtz Association | Ref. VH-NG-1014spa
dc.description.sponsorshipAustralian Research Council’s Centre of Excellence for Climate System Science | Ref. CE110001028spa
dc.description.sponsorshipAustralian Government’s National Computational Merit Allocation Scheme | Ref. FUERZAS 4012spa
dc.description.sponsorshipMinisterio de Ciencia e Innovación | Ref. CGL2015-71575-Pspa
dc.description.sponsorshipNew Zealand Royal Society Marsden Fund | Ref. 12-NIW-006spa
dc.language.isoengspa
dc.publisherAtmospheric Chemistry and Physicsspa
dc.relationinfo:eu-repo/grantAgreement/MICINN//CGL2015-71575-P/ES
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleThe influence of mixing on the stratospheric age of air changes in the 21st centuryen
dc.typearticlespa
dc.rights.accessRightsopenAccessspa
dc.identifier.doi10.5194/acp-19-921-2019
dc.identifier.editorhttps://acp.copernicus.org/articles/19/921/2019/spa
dc.subject.unesco2502 Climatologíaspa
dc.subject.unesco2501 Ciencias de la Atmósferaspa
dc.date.updated2022-11-15T11:22:51Z
dc.computerCitationpub_title=Atmospheric Chemistry and Physics|volume=19|journal_number=2|start_pag=921|end_pag=940spa


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    Attribution 4.0 International
    Except where otherwise noted, this item's license is described as Attribution 4.0 International