Regional but not global temperature variability underestimated by climate models at supradecadal timescales

dc.contributor.authorLaepple, Thomas
dc.contributor.authorZiegler, Elisa
dc.contributor.authorHébert, Raphaël
dc.contributor.authorSchoch, Patrizia
dc.contributor.authorMartrat, Belen
dc.contributor.authorBothe, Oliver
dc.contributor.authorMoreno Chamarro, Eduardo
dc.contributor.authorChevalier, Manuel
dc.contributor.authorHerbert, Annika
dc.contributor.authorRehfeld, Kira
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2023-11-17T14:59:55Z
dc.date.available2024-05-06T00:25:59Z
dc.date.issued2023
dc.description.abstractKnowledge of the characteristics of natural climate variability is vital when assessing the range of plausible future climate trajectories in the next decades to centuries. The reliable detection of climate fluctuations on multidecadal to centennial timescales depends on proxy reconstructions and model simulations, as the instrumental record extends back only a few decades in most parts of the world. Systematic comparisons between model-simulated and proxy-based inferences of natural variability, however, often seem contradictory. Locally, simulated temperature variability is consistently smaller on multidecadal and longer timescales than is indicated by proxy-based reconstructions, implying that climate models or proxy interpretations might have deficiencies. In contrast, at global scales, studies found agreement between simulated and proxy reconstructed temperature variations. Here we review the evidence regarding the scale of natural temperature variability during recent millennia. We identify systematic reconstruction deficiencies that may contribute to differing local and global model–proxy agreement but conclude that they are probably insufficient to resolve such discrepancies. Instead, we argue that regional climate variations persisted for longer timescales than climate models simulating past climate states are able to reproduce. This would imply an underestimation of the regional variability on multidecadal and longer timescales and would bias climate projections and attribution studies. Thus, efforts are needed to improve the simulation of natural variability in climate models accompanied by further refining proxy-based inferences of variability.
dc.description.peerreviewedPeer Reviewed
dc.description.sponsorshipThis study was undertaken by members of CVAS and 2k Network, working groups of the Past Global Changes (PAGES) Global Research association. This is a contribution to the SPACE ERC, STACY and PALMOD projects. The SPACE ERC project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 716092). STACY has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, project no. 395588486). This work has also been supported by the German Federal Ministry of Education and Research (BMBF), through the PalMod project (subprojects 01LP1926B (O.B.), 01LP1926D (M.C.) and 01LP1926C (B.E., P.S. and N.W.)) from the Research for Sustainability initiative (FONA). B.E. is supported by the Heinrich Böll Foundation. E.M.-C. was supported by the PARAMOUR project, funded by the Fonds de la Recherche Scientifique–FNRS and the FWO under the Excellence of Science (EOS) programme (grant no. O0100718F, EOS ID no. 30454083). A.H. was supported by a Legacy Grant from the Australian Research Council Centre of Excellence for Australian Biodiversity and Heritage. B.M. was supported by LINKA20102 and the Spanish Ministry of Science and Innovation project CEX2018‐000794‐S. The work originated from discussions at the CVAS working group of PAGES at a workshop at the Internationales Wissenschaftsforum Heidelberg, which was funded by a Hengstberger Prize. We thank N. Beech, C. Brierley, F. Gonzalez-Rouco and M. MacPartland for comments on earlier drafts of the manuscript. This manuscript uses data provided by the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for CMIP and PMIP. We thank the research groups for producing and kindly making their model outputs, measurements and palaeoclimate reconstructions available to us. Editorial assistance, in the form of language editing and correction, was provided by XpertScientific Editing and Consulting Services. We acknowledge support by the Open Access Publication Funds of Alfred-Wegener-Institut Helmholtz Zentrum für Polar- und Meeresforschung.
dc.description.versionPostprint (author's final draft)
dc.identifier.citationLaepple, T. [et al.]. Regional but not global temperature variability underestimated by climate models at supradecadal timescales. "Nature Geoscience", 2023, vol. 16, p. 958-966.
dc.identifier.doi10.1038/s41561-023-01299-9
dc.identifier.issn1752-0908
dc.identifier.issn1752-0894
dc.identifier.urihttps://hdl.handle.net/2117/396644
dc.language.isoeng
dc.publisherNature Research
dc.relation.datasetThe PAGES 2k palaeotemperature records (PAGES 2k v.2.0.0) are available at www.ncdc.noaa.gov/paleo/study/21171. The ensemble of global temperature reconstructions based on the PAGES2k16 data are available through the World Data Service (NOAA) Palaeoclimatology at https://www.ncdc.noaa.gov/paleo/study/26872 and via Figshare at https://doi.org/10.6084/m9.figshare.c.4507043. The pollen-based reconstructions are available via PANGEA at https://doi.pangaea.de/10.1594/PANGAEA.930512. The marine proxy data are available via PANGEA at https://doi.org/10.1594/PANGAEA.899489. The CMIP5 millennium simulations are available through the Earth System Grid Federation portal at https://esgf-data.dkrz.de. Source data are provided with this paper.
dc.relation.publisherversionhttps://www.nature.com/articles/s41561-023-01299-9
dc.rights.accessOpen Access
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
dc.subject.lcshClimate variations
dc.subject.lemacSimulació per ordinador
dc.subject.otherClimate and Earth system modelling
dc.subject.otherPalaeoclimate
dc.titleRegional but not global temperature variability underestimated by climate models at supradecadal timescales
dc.typeArticle
dspace.entity.typePublication
local.citation.endingPage966
local.citation.publicationNameNature Geoscience
local.citation.startingPage958
local.citation.volume16

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