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Climate Scenarios for Switzerland CH2018 – Approach and Implications

Fischer, A. M. ; Strassmann, K. M.; Croci-Maspoli, M.; Hama, A. M.; Knutti, R.; Kotlarski, S.; Schär, C.; Schnadt Poberaj, C.; Ban, N.; Bavay, M.; Beyerle, U.; Bresch, D. N.; Brönnimann, S.; Burlando, P.; Casanueva, A.; Fatichi, S.; Feigenwinter, I.; Fischer, E. M.; Hirschi, M.; ... mehr

Abstract:

To make sound decisions in the face of climate change, government agencies, policymakers and private stakeholders require suitable climate information on local to regional scales. In Switzerland, the development of climate change scenarios is strongly linked to the climate adaptation strategy of the Confederation. The current climate scenarios for Switzerland CH2018 - released in form of six user-oriented products - were the result of an intensive collaboration between academia and administration under the umbrella of the National Centre for Climate Services (NCCS), accounting for user needs and stakeholder dialogues from the beginning. A rigorous scientific concept ensured consistency throughout the various analysis steps of the EURO-CORDEX projections and a common procedure on how to extract robust results and deal with associated uncertainties. The main results show that Switzerland’s climate will face dry summers, heavy precipitation, more hot days and snow-scarce winters. Approximately half of these changes could be alleviated by mid-century through strong global mitigation efforts. A comprehensive communication concept ensured that the results were rolled out and distilled in specific user-oriented communication measures to increase their uptake and to make them actionable. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000150982
Veröffentlicht am 24.09.2022
Originalveröffentlichung
DOI: 10.1016/j.cliser.2022.100288
Scopus
Zitationen: 29
Web of Science
Zitationen: 26
Dimensions
Zitationen: 36
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 04.2022
Sprache Englisch
Identifikator ISSN: 2405-8807
KITopen-ID: 1000150982
HGF-Programm 12.11.34 (POF IV, LK 01) Improved predictions from weather to climate scales
Erschienen in Climate Services
Verlag Elsevier
Band 26
Seiten Art.-Nr.: 100288
Nachgewiesen in Scopus
Dimensions
Web of Science
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