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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26217
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dc.contributor.authorSørland, Silje Lund-
dc.contributor.authorFischer, Andreas M.-
dc.contributor.authorKotlarski, Sven-
dc.contributor.authorKünsch, Hans R.-
dc.contributor.authorLiniger, Mark A.-
dc.contributor.authorRajczak, Jan-
dc.contributor.authorSchär, Christoph-
dc.contributor.authorSpirig, Curdin-
dc.contributor.authorStrassmann, Kuno-
dc.contributor.authorKnutti, Reto-
dc.date.accessioned2022-11-25T15:34:22Z-
dc.date.available2022-11-25T15:34:22Z-
dc.date.issued2020-
dc.identifier.issn2405-8807de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26217-
dc.description.abstractThe latest Swiss Climate Scenarios (CH2018), released in November 2018, consist of several datasets derived through various methods that provide robust and relevant information on climate change in Switzerland. The scenarios build upon the regional climate model projections for Europe produced through the internationally coordinated downscaling effort EURO-CORDEX. The simulations from EURO-CORDEX consist of simulations at two spatial horizontal resolutions, several global climate models, and three different emission scenarios. Even with this unique dataset of regional climate scenarios, a number of practical challenges regarding a consistent interpretation of the model ensemble arise. Here we present the methodological chain employed in CH2018 in order to generate a multi-model ensemble that is consistent across scenarios and is used as a basis for deriving the CH2018 products. The different steps involve a thorough evaluation of the full EURO-CORDEX model ensemble, the removal of doubtful and potentially erroneous simulations, a time-shift approach to account for an equal number of simulations for each emission scenario, and the multi-model combination of simulations with different spatial resolutions. Each component of this cascade of processing steps is associated with an uncertainty that eventually contributes to the overall scientific uncertainty of the derived scenario products. We present a comparison and an assessment of the uncertainties from these individual effects and relate them to probabilistic projections. It is shown that the CH2018 scenarios are generally supported by the results from other sources. Thus, the CH2018 scenarios currently provide the best available dataset of future climate change estimates in Switzerland.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofClimate Servicesde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectRegional climate change scenariode_CH
dc.subjectClimate servicede_CH
dc.subjectCORDEXde_CH
dc.subjectEnsemble of opportunityde_CH
dc.subjectSwitzerlandde_CH
dc.subject.ddc363: Umwelt- und Sicherheitsproblemede_CH
dc.titleCH2018 - National climate scenarios for Switzerland : how to construct consistent multi-model projections from ensembles of opportunityde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitZentrum für Aviatik (ZAV)de_CH
dc.identifier.doi10.1016/j.cliser.2020.100196de_CH
dc.identifier.doi10.21256/zhaw-26217-
zhaw.funding.euNode_CH
zhaw.issue100196de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume20de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Sørland, S. L., Fischer, A. M., Kotlarski, S., Künsch, H. R., Liniger, M. A., Rajczak, J., Schär, C., Spirig, C., Strassmann, K., & Knutti, R. (2020). CH2018 - National climate scenarios for Switzerland : how to construct consistent multi-model projections from ensembles of opportunity. Climate Services, 20(100196). https://doi.org/10.1016/j.cliser.2020.100196
Sørland, S.L. et al. (2020) ‘CH2018 - National climate scenarios for Switzerland : how to construct consistent multi-model projections from ensembles of opportunity’, Climate Services, 20(100196). Available at: https://doi.org/10.1016/j.cliser.2020.100196.
S. L. Sørland et al., “CH2018 - National climate scenarios for Switzerland : how to construct consistent multi-model projections from ensembles of opportunity,” Climate Services, vol. 20, no. 100196, 2020, doi: 10.1016/j.cliser.2020.100196.
SØRLAND, Silje Lund, Andreas M. FISCHER, Sven KOTLARSKI, Hans R. KÜNSCH, Mark A. LINIGER, Jan RAJCZAK, Christoph SCHÄR, Curdin SPIRIG, Kuno STRASSMANN und Reto KNUTTI, 2020. CH2018 - National climate scenarios for Switzerland : how to construct consistent multi-model projections from ensembles of opportunity. Climate Services. 2020. Bd. 20, Nr. 100196. DOI 10.1016/j.cliser.2020.100196
Sørland, Silje Lund, Andreas M. Fischer, Sven Kotlarski, Hans R. Künsch, Mark A. Liniger, Jan Rajczak, Christoph Schär, Curdin Spirig, Kuno Strassmann, and Reto Knutti. 2020. “CH2018 - National Climate Scenarios for Switzerland : How to Construct Consistent Multi-Model Projections from Ensembles of Opportunity.” Climate Services 20 (100196). https://doi.org/10.1016/j.cliser.2020.100196.
Sørland, Silje Lund, et al. “CH2018 - National Climate Scenarios for Switzerland : How to Construct Consistent Multi-Model Projections from Ensembles of Opportunity.” Climate Services, vol. 20, no. 100196, 2020, https://doi.org/10.1016/j.cliser.2020.100196.


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