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dc.contributor.author
Maycock, Amanda C.
dc.contributor.author
Matthes, Katja
dc.contributor.author
Tegtmeier, Susann
dc.contributor.author
Schmidt, Hauke
dc.contributor.author
Thiéblemont, Rémi
dc.contributor.author
Hood, Lon
dc.contributor.author
Akiyoshi, Hideharu
dc.contributor.author
Bekki, Slimane
dc.contributor.author
Deushi, Makoto
dc.contributor.author
Jöckel, Patrick
dc.contributor.author
Kirner, Oliver
dc.contributor.author
Kunze, Markus
dc.contributor.author
Marchand, Marion
dc.contributor.author
Marsh, Daniel R.
dc.contributor.author
Michou, Martine
dc.contributor.author
Plummer, David
dc.contributor.author
Revell, Laura E.
dc.contributor.author
Rozanov, Eugene
dc.contributor.author
Stenke, Andrea
dc.contributor.author
Yamashita, Yousuke
dc.contributor.author
Yoshida, Kohei
dc.date.accessioned
2018-08-28T10:04:43Z
dc.date.available
2018-08-24T08:24:11Z
dc.date.available
2018-08-28T10:04:43Z
dc.date.issued
2018
dc.identifier.issn
1680-7375
dc.identifier.issn
1680-7367
dc.identifier.other
10.5194/acp-18-11323-2018
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/284329
dc.identifier.doi
10.3929/ethz-b-000284329
dc.description.abstract
The impact of changes in incoming solar irradiance on stratospheric ozone abundances should be included in climate simulations to aid in capturing the atmospheric response to solar cycle variability. This study presents the first systematic comparison of the representation of the 11-year solar cycle ozone response (SOR) in chemistry–climate models (CCMs) and in pre-calculated ozone databases specified in climate models that do not include chemistry, with a special focus on comparing the recommended protocols for the Coupled Model Intercomparison Project Phase 5 and Phase 6 (CMIP5 and CMIP6). We analyse the SOR in eight CCMs from the Chemistry–Climate Model Initiative (CCMI-1) and compare these with results from three ozone databases for climate models: the Bodeker Scientific ozone database, the SPARC/Atmospheric Chemistry and Climate (AC&C) ozone database for CMIP5 and the SPARC/CCMI ozone database for CMIP6. The peak amplitude of the annual mean SOR in the tropical upper stratosphere (1–5hPa) decreases by more than a factor of 2, from around 5 to 2%, between the CMIP5 and CMIP6 ozone databases. This substantial decrease can be traced to the CMIP5 ozone database being constructed from a regression model fit to satellite and ozonesonde measurements, while the CMIP6 database is constructed from CCM simulations. The SOR in the CMIP6 ozone database therefore implicitly resembles the SOR in the CCMI-1 models. The structure in latitude of the SOR in the CMIP6 ozone database and CCMI-1 models is considerably smoother than in the CMIP5 database, which shows unrealistic sharp gradients in the SOR across the middle latitudes owing to the paucity of long-term ozone measurements in polar regions. The SORs in the CMIP6 ozone database and the CCMI-1 models show a seasonal dependence with enhanced meridional gradients at mid- to high latitudes in the winter hemisphere. The CMIP5 ozone database does not account for seasonal variations in the SOR, which is unrealistic. Sensitivity experiments with a global atmospheric model without chemistry (ECHAM6.3) are performed to assess the atmospheric impacts of changes in the representation of the SOR and solar spectral irradiance (SSI) forcing between CMIP5 and CMIP6. The larger amplitude of the SOR in the CMIP5 ozone database compared to CMIP6 causes a likely overestimation of the modelled tropical stratospheric temperature response between 11-year solar cycle minimum and maximum by up to 0.55K, or around 80% of the total amplitude. This effect is substantially larger than the change in temperature response due to differences in SSI forcing between CMIP5 and CMIP6. The results emphasize the importance of adequately representing the SOR in global models to capture the impact of the 11-year solar cycle on the atmosphere. Since a number of limitations in the representation of the SOR in the CMIP5 ozone database have been identified, we recommend that CMIP6 models without chemistry use the CMIP6 ozone database and the CMIP6 SSI dataset to better capture the climate impacts of solar variability. The SOR coefficients from the CMIP6 ozone database are published with this paper.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
European Geophysical Society
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
The representation of solar cycle signals in stratospheric ozone - Part 2: Analysis of global models
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-08-13
ethz.journal.title
Atmospheric Chemistry and Physics
ethz.journal.volume
18
en_US
ethz.journal.issue
15
en_US
ethz.journal.abbreviated
Atmos. chem. phys.
ethz.pages.start
11323
en_US
ethz.pages.end
11343
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Munich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03517 - Peter, Thomas / Peter, Thomas
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03517 - Peter, Thomas / Peter, Thomas
ethz.relation.isNewVersionOf
10.3929/ethz-b-000221529
ethz.date.deposited
2018-08-24T08:24:18Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-08-28T10:04:52Z
ethz.rosetta.lastUpdated
2020-02-15T14:34:42Z
ethz.rosetta.versionExported
true
ethz.COinS
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