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dc.contributor.authorHall, RJ
dc.contributor.authorMitchell, DM
dc.contributor.authorSeviour, WJM
dc.contributor.authorWright, CJ
dc.date.accessioned2021-03-03T10:31:07Z
dc.date.issued2020-12-25
dc.description.abstractSudden stratospheric warming (SSW) events are extreme atmospheric regimes which can have a signature in surface weather up to 40 days after event onset in the stratosphere. SSWs can be classified as either vortex splitting or vortex displacement events, with the nature and timing of the surface impact potentially being different between the two. In this study, using ERA40/Interim reanalysis data, we develop a simple empirical downward tracking algorithm which for the first time allows us to estimate the time of surface impact for individual SSW events. We show that the surface impact following splitting events is, on average, about 1 week earlier than following displacement events, albeit with considerable variability. By compositing tropospheric responses around the identified date of surface impact, rather than around the central stratospheric onset date as common in previous studies, we can better constrain the surface signal of SSWs. We find that while the difference in North Atlantic Oscillation anomalies between split and displacement vortices is small, surface temperature anomalies over northwest Europe and northern Eurasia are significantly colder for splitting events, particularly over the UK just prior to the surface impact date. Displacement events on average are wetter over Northwest Europe around the time of surface impact, consistent with the jet stream being displaced further south in response to split events. Our downtracking algorithm can be used with any reanalyzes and gridded model data, and therefore will be a valuable tool for use with the latest climate models.en_GB
dc.description.sponsorshipNatural Environment Research Councilen_GB
dc.description.sponsorshipRoyal Societyen_GB
dc.identifier.citationVol. 126, no. 3, article e2020JD033881en_GB
dc.identifier.doi10.1029/2020jd033881
dc.identifier.grantnumberNE/S00985X/1en_GB
dc.identifier.grantnumberUF160545en_GB
dc.identifier.urihttp://hdl.handle.net/10871/124991
dc.language.isoenen_GB
dc.publisherWiley/American Geophysical Unionen_GB
dc.rights© 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectNorth Atlantic Oscillationen_GB
dc.subjectstratosphere‐troposphere couplingen_GB
dc.subjectstratospheric sudden warmingen_GB
dc.subjectsurface impactsen_GB
dc.titleTracking the stratosphere‐to‐surface impact of sudden stratospheric warmingsen_GB
dc.typeArticleen_GB
dc.date.available2021-03-03T10:31:07Z
dc.identifier.issn2169-897X
dc.descriptionThis is the final version. Available from Wiley via the DOI in this record. en_GB
dc.descriptionData Availability Statement ERA-I and ERA40 data are freely available from the ECMWF website. ERA-I: https://www.ecmwf.int/ en/forecasts/datasets/reanalysis-datasets/era-interim. ERA40: https://apps.ecmwf.int/datasets/data/ era40-daily/levtype%3Dsfc. The NAO and AO indices are available from NOAA-CPC. NAO: https://www. cpc.ncep.noaa.gov/products/precip/CWlink/pna/nao.shtml. AO: https://www.cpc.ncep.noaa.gov/products/precip/CWlink/daily_ao_index/ao.shtml. Python code for the tracking algorithm is available from Zenodo (https://doi.org/10.5281/zenodo.4279027).en_GB
dc.identifier.eissn2169-8996
dc.identifier.journalJournal of Geophysical Research: Atmospheresen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2020-12-21
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-12-25
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-03-03T10:26:50Z
refterms.versionFCDVoR
refterms.dateFOA2021-03-03T10:31:25Z
refterms.panelBen_GB


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© 2020 The Authors.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2020 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.