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dc.contributor.author
Lejeune, Quentin
dc.contributor.author
Davin, Edouard Léopold
dc.contributor.author
Duveiller, Gregory
dc.contributor.author
Crezee, Bas
dc.contributor.author
Meier, Ronny
dc.contributor.author
Cescatti, Alessandro
dc.contributor.author
Seneviratne, Sonia I.
dc.date.accessioned
2021-01-08T10:50:18Z
dc.date.available
2020-12-27T06:03:20Z
dc.date.available
2021-01-08T10:50:18Z
dc.date.issued
2020
dc.identifier.issn
2190-4987
dc.identifier.issn
2190-4979
dc.identifier.other
10.5194/esd-11-1209-2020
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/458608
dc.identifier.doi
10.3929/ethz-b-000458608
dc.description.abstract
Climate model biases in the representation of albedo variations between land cover classes contribute to uncertainties on the climate impact of land cover changes since pre-industrial times, especially on the associated radiative forcing. Recent publications of new observation-based datasets offer opportunities to investigate these biases and their impact on historical surface albedo changes in simulations from the fifth phase of the Coupled Model Intercomparison Project (CMIP5). Conducting such an assessment is, however, complicated by the non-availability of albedo values for specific land cover classes in CMIP and the limited number of simulations isolating the land use forcing. In this study, we demonstrate the suitability of a new methodology to extract the albedo of trees and crops–grasses in standard climate model simulations. We then apply it to historical runs from 17 CMIP5 models and compare the obtained results to satellite-derived reference data. This allows us to identify substantial biases in the representation of the albedo of trees and crops–grasses as well as the surface albedo change due to the transition between these two land cover classes in the analysed models. Additionally, we reconstruct the local surface albedo changes induced by historical conversions between trees and crops–grasses for 15 CMIP5 models. This allows us to derive estimates of the albedo-induced radiative forcing from land cover changes since pre-industrial times. We find a multi-model range from 0 to −0.17 W m−2, with a mean value of −0.07 W m−2. Constraining the surface albedo response to transitions between trees and crops–grasses from the models with satellite-derived data leads to a revised multi-model mean estimate of −0.09 W m−2 but an increase in the multi-model range. However, after excluding one model with unrealistic conversion rates from trees to crops–grasses the remaining individual model results vary between −0.03 and −0.11 W m−2. These numbers are at the lower end of the range provided by the IPCC AR5 (−0.15±0.10 W m−2). The approach described in this study can be applied to other model simulations, such as those from CMIP6, especially as the evaluation diagnostic described here has been included in the ESMValTool v2.0.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Copernicus
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Biases in the albedo sensitivity to deforestation in CMIP5 models and their impacts on the associated historical radiative forcing
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-12-16
ethz.journal.title
Earth System Dynamics
ethz.journal.volume
11
en_US
ethz.journal.issue
4
en_US
ethz.pages.start
1209
en_US
ethz.pages.end
1232
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
CLimate IMPacts of Utilizing Land in Switzerland and Europe (CLIMPULSE)
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Göttingen
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::03778 - Seneviratne, Sonia / Seneviratne, Sonia
en_US
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::03778 - Seneviratne, Sonia / Seneviratne, Sonia
ethz.grant.agreementno
172715
ethz.grant.agreementno
172715
ethz.grant.agreementno
172715
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Projekte MINT
ethz.date.deposited
2020-12-27T06:03:23Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-01-08T10:50:28Z
ethz.rosetta.lastUpdated
2024-02-02T12:47:31Z
ethz.rosetta.versionExported
true
ethz.COinS
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