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dc.contributor.author
Harmsen, Mathijs J.H.M.
dc.contributor.author
van Vuuren, Detlef P.
dc.contributor.author
Van den Berg, Maarten
dc.contributor.author
Hof, Andries F.
dc.contributor.author
Hope, Chris
dc.contributor.author
Krey, Volker
dc.contributor.author
Lamarque, Jean-François
dc.contributor.author
Marcucci, Adriana
dc.contributor.author
Shindell, Drew T.
dc.contributor.author
Schaeffer, Michiel
dc.date.accessioned
2023-06-21T12:06:38Z
dc.date.available
2017-06-11T21:27:01Z
dc.date.available
2023-06-21T12:06:38Z
dc.date.issued
2015-12
dc.identifier.issn
0165-0009
dc.identifier.issn
1573-1480
dc.identifier.other
10.1007/s10584-015-1485-0
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/107469
dc.identifier.doi
10.3929/ethz-b-000107469
dc.description.abstract
This study aims to create insight in how Integrated Assessment Models (IAMs) perform in describing the climate forcing by non-CO2 gases and aerosols. The simple climate models (SCMs) included in IAMs have been run with the same prescribed anthropogenic emission pathways and compared to analyses with complex earth system models (ESMs) in terms of concentration and radiative forcing levels. In our comparison, particular attention was given to the short-lived forcers' climate effects. In general, SCMs show forcing levels within the expert model ranges. However, the more simple SCMs seem to underestimate forcing differences between baseline and mitigation scenarios because of omission of ozone, black carbon and/or indirect methane forcing effects. Above all, results also show that among IAMs there is a significant spread (0.74 W/m2 in 2100) in non-CO2 forcing projections for a 2.6 W/m2 mitigation scenario, mainly due to uncertainties in the indirect effects of aerosols. This has large implications for determining optimal mitigation strategies among IAMs with regard to required CO2 forcing targets and policy costs.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Black Carbon
en_US
dc.subject
Force Level
en_US
dc.subject
Radiative Force
en_US
dc.subject
Tropospheric Ozone
en_US
dc.subject
Force Effect
en_US
dc.title
How well do integrated assessment models represent non-CO2 radiative forcing?
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2015-09-07
ethz.journal.title
Climatic Change
ethz.journal.volume
133
en_US
ethz.journal.issue
4
en_US
ethz.pages.start
565
en_US
ethz.pages.end
582
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
000040037
ethz.publication.place
Dordrecht
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-11T21:27:42Z
ethz.source
ECIT
ethz.identifier.importid
imp593653bba5daf98736
ethz.ecitpid
pub:168069
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-14T13:14:19Z
ethz.rosetta.lastUpdated
2024-02-03T00:18:50Z
ethz.rosetta.versionExported
true
ethz.COinS
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