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  Using large ensembles of climate change mitigation scenarios for robust insights

Guivarch, C., Le Gallic, T., Bauer, N., Fragkos, P., Huppmann, D., Jaxa-Rozen, M., Keppo, I., Kriegler, E., Krisztin, T., Marangoni, G., Pye, S., Riahi, K., Schaeffer, R., Tavoni, M., Trutnevyte, E., van Vuuren, D., Wagner, F. (2022): Using large ensembles of climate change mitigation scenarios for robust insights. - Nature Climate Change, 12, 5, 428-435.
https://doi.org/10.1038/s41558-022-01349-x

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 Creators:
Guivarch, Céline1, Author
Le Gallic, Thomas1, Author
Bauer, Nicolas2, Author              
Fragkos, Panagiotis1, Author
Huppmann, Daniel1, Author
Jaxa-Rozen, Marc1, Author
Keppo, Ilkka1, Author
Kriegler, Elmar2, Author              
Krisztin, Tamás1, Author
Marangoni, Giacomo1, Author
Pye, Steve1, Author
Riahi, Keywan1, Author
Schaeffer, Roberto1, Author
Tavoni, Massimo1, Author
Trutnevyte, Evelina1, Author
van Vuuren, Detlef1, Author
Wagner, Fabian1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: As they gain new users, climate change mitigation scenarios are playing an increasing role in transitions to net zero. One promising practice is the analysis of scenario ensembles. Here we argue that this practice has the potential to bring new and more robust insights compared with the use of single scenarios. However, several important aspects have to be addressed. We identify key methodological challenges and the existing methods and applications that have been or can be used to address these challenges within a three-step approach: (1) pre-processing the ensemble; (2) selecting a few scenarios or analysing the full ensemble; and (3) providing users with efficient access to the information.

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Language(s): eng - English
 Dates: 2021-04-142022-03-142022-05-092022-05
 Publication Status: Finally published
 Pages: 8
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41558-022-01349-x
Organisational keyword: RD3 - Transformation Pathways
PIKDOMAIN: RD3 - Transformation Pathways
MDB-ID: No data to archive
Model / method: Model Intercomparison
Research topic keyword: Mitigation
Regional keyword: Global
 Degree: -

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Title: Nature Climate Change
Source Genre: Journal, SCI, Scopus, p3
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Publ. Info: -
Pages: - Volume / Issue: 12 (5) Sequence Number: - Start / End Page: 428 - 435 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/140414
Publisher: Nature