Assessing observational constraints on future European climate in an out-of-sample framework
- Autor(en)
- Christopher H. O’Reilly, Lukas Brunner, Saïd Qasmi, Rita Nogherotto, Andrew P. Ballinger, Ben Booth, Daniel J. Befort, Reto Knutti, Andrew P. Schurer, Aurélien Ribes, Antje Weisheimer, Erika Coppola, Carol McSweeney
- Abstrakt
Observations are increasingly used to constrain multi-model projections for future climate assessments. This study assesses the performance of five constraining methods, which have previously been applied to attempt to improve regional climate projections from CMIP5-era models. We employ an out-of-sample testing approach to assess the efficacy of these constraining methods when applied to “pseudo-observational” datasets to constrain future changes in the European climate. These pseudo-observations are taken from CMIP6 simulations, for which future changes were withheld and used for verification. The constrained projections are more accurate and broadly more reliable for regional temperature projections compared to the unconstrained projections, especially in the summer season, which was not clear prior to this study. However, the constraining methods do not improve regional precipitation projections. We also analysed the performance of multi-method projections by combining the constrained projections, which are found to be competitive with the best-performing individual methods and demonstrate improvements in reliability for some temperature projections. The performance of the multi-method projection highlights the potential of combining constraints for the development of constraining methods.
- Organisation(en)
- Institut für Meteorologie und Geophysik
- Externe Organisation(en)
- University of Reading, University of Oxford, Eidgenössische Technische Hochschule Zürich, Centre National De La Recherche Scientifique (CNRS), Abdus Salam International Centre for Theoretical Physics, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, University of Edinburgh, Met Office, Europäisches Zentrum für mittelfristige Wettervorhersage, Université de Toulouse
- Journal
- npj Climate and Atmospheric Science
- Band
- 7
- ISSN
- 2397-3722
- DOI
- https://doi.org/10.1038/s41612-024-00648-8
- Publikationsdatum
- 04-2024
- Peer-reviewed
- Ja
- ÖFOS 2012
- 105205 Klimawandel
- ASJC Scopus Sachgebiete
- Global and Planetary Change, Environmental Chemistry, Atmospheric Science
- Sustainable Development Goals
- SDG 13 – Maßnahmen zum Klimaschutz
- Link zum Portal
- https://ucrisportal.univie.ac.at/de/publications/2e06b8e9-f623-48c8-a714-3301f4979923