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dc.contributor.authorBlackport, R
dc.contributor.authorScreen, JA
dc.date.accessioned2021-02-08T11:16:50Z
dc.date.issued2021-02-12
dc.description.abstractDisentangling the contribution of changing Arctic sea ice to midlatitude winter climate variability remains challenging because of the large internal climate variability in midlatitudes, difficulties separating cause from effect, methodological differences, and uncertainty around whether models adequately simulate connections between Arctic sea ice and midlatitude climate. We use regression analysis to quantify the links between Arctic sea ice and midlatitude winter climate in observations and large initial-condition ensembles of multiple climate models, in both coupled configurations and so-called atmospheric model intercomparison project (AMIP) configurations, where observed sea ice and/or sea surface temperatures are prescribed. The coupled models capture the observed links in interannual variability between winter Barents-Kara sea ice and Eurasian surface temperature, and between winter Chukchi-Bering sea ice and North American surface temperature. The coupled models also capture the delayed connection between reduced November-December Barents-Kara sea ice, a weakened winter stratospheric polar vortex, and a shift towards the negative phase of the North Atlantic Oscillation in late winter, although this downward impact is weaker than observed. The strength and sign of the connections both vary considerably between individual 35-year-long ensemble members, highlighting the need for large ensembles to separate robust connections from internal variability. All the aforementioned links are either absent, or substantially weaker, in the AMIP experiments prescribed with only observed sea ice variability. We conclude that the causal effects of sea ice variability on midlatitude winter climate are much weaker than suggested by statistical associations, evident in observations and coupled models, because the statistics are inflated by the effects of atmospheric circulation variability on sea ice.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationVol. 34 (8), pp. 3021–3038en_GB
dc.identifier.doi10.1175/jcli-d-20-0293.1
dc.identifier.grantnumberNE/P006760/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/124636
dc.language.isoenen_GB
dc.publisherAmerican Meteorological Societyen_GB
dc.relation.urlhttps://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interimen_GB
dc.relation.urlhttps://www.earthsystemgrid.org/dataset/ucar.cgd.ccsm4.CLIVAR_LE.htmlen_GB
dc.relation.urlhttps://www.esrl.noaa.gov/psd/repository/factsen_GB
dc.rights.embargoreasonUnder embargo until 12 September 2021 in compliance with publisher policyen_GB
dc.rights© 2021 American Meteorological Societyen_GB
dc.titleObserved statistical connections overestimate the causal effects of Arctic sea-ice changes on midlatitude winter climateen_GB
dc.typeArticleen_GB
dc.date.available2021-02-08T11:16:50Z
dc.identifier.issn0894-8755
dc.descriptionThis is the final version. Available from the American Meteorological Society via the DOI in this recorden_GB
dc.descriptionData Availability: All data used in this study are publicly available. ERA-Interim reanalysis can be found at https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim, coupled model data can be found at https://www.earthsystemgrid.org/dataset/ucar.cgd.ccsm4.CLIVAR_LE.html , and AMIP data can found at https://www.esrl.noaa.gov/psd/repository/facts.en_GB
dc.identifier.journalJournal of Climateen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
exeter.funder::Natural Environment Research Council (NERC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-02-05
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-02-08T11:14:55Z
refterms.versionFCDAM
refterms.dateFOA2021-09-11T23:00:00Z
refterms.panelBen_GB


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