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Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system

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dc.contributor.author Slivinski, Laura
dc.contributor.author Compo, Gilbert
dc.contributor.author Whitaker, Jeffrey
dc.contributor.author Sardeshmukh, Prashant
dc.contributor.author Giese, Benjamin
dc.contributor.author McColl, Chesley
dc.contributor.author Allan, Rob
dc.contributor.author Yin, Xungang
dc.contributor.author Vose, Russell
dc.contributor.author Titchner, Holly
dc.contributor.author Kennedy, John
dc.contributor.author Spencer, Lawrence
dc.contributor.author Ashcroft, Linden
dc.contributor.author Brönnimann, Stefan
dc.contributor.author Brunet, Manola
dc.contributor.author Camuffo, Dario
dc.contributor.author Cornes, Richard
dc.contributor.author Cram, Thomas
dc.contributor.author Crouthamel, Richard
dc.contributor.author Domínguez-Castro, Fernando
dc.contributor.author Freeman, Eric
dc.contributor.author Gergis, Joëlle
dc.contributor.author Hawkins, Ed
dc.contributor.author Jones, Philip
dc.contributor.author Jourdain, Sylvie
dc.contributor.author Kaplan, Alexey
dc.contributor.author Kubota, Hisayuki
dc.contributor.author Le Blancq, Frank
dc.contributor.author Lee, Tsz-Cheung
dc.contributor.author Lorrey, Andrew
dc.contributor.author Luterbacher, Jürg
dc.contributor.author Maugeri, Maurizio
dc.contributor.author Mock, Cary
dc.contributor.author Moore, Kent
dc.contributor.author Przybylak, Rajmund
dc.contributor.author Pudmenzky, Christa
dc.contributor.author Reason, Chris
dc.contributor.author Slonosky, Victoria
dc.contributor.author Smith, Catherine
dc.contributor.author Tinz, Birger
dc.contributor.author Trewin, Blair
dc.contributor.author Valente, Maria Antónia
dc.contributor.author Wang, Xiaolan
dc.contributor.author Wilkinson, Clive
dc.contributor.author Wood, Kevin
dc.contributor.author Wyszyński, Przemysław
dc.date.accessioned 2019-10-29T13:32:29Z
dc.date.available 2019-10-29T13:32:29Z
dc.date.issued 2019
dc.identifier.citation Quarterly Journal of the Royal Meteorological Society, 2019, pp.1-33. https://doi.org/10.1002/qj.3598
dc.identifier.issn 0035-9009
dc.identifier.issn 1477-870X
dc.identifier.other 10.1002/qj.3598
dc.identifier.uri http://repozytorium.umk.pl/handle/item/6161
dc.description.abstract Historical reanalyses that span more than a century are needed for a wide range of studies, from understanding large‐scale climate trends to diagnosing the impacts of individual historical extreme weather events. The Twentieth Century Reanalysis (20CR) Project is an effort to fill this need. It is supported by the National Oceanic and Atmospheric Administration (NOAA), the Cooperative Institute for Research in Environmental Sciences (CIRES), and the U.S. Department of Energy (DOE), and is facilitated by collaboration with the international Atmospheric Circulation Reconstructions over the Earth initiative. 20CR is the first ensemble of sub‐daily global atmospheric conditions spanning over 100 years. This provides a best estimate of the weather at any given place and time as well as an estimate of its confidence and uncertainty. While extremely useful, version 2c of this dataset (20CRv2c) has several significant issues, including inaccurate estimates of confidence and a global sea level pressure bias in the mid‐19th century. These and other issues can reduce its effectiveness for studies at many spatial and temporal scales. Therefore, the 20CR system underwent a series of developments to generate a significant new version of the reanalysis. The version 3 system (NOAA‐CIRES‐DOE 20CRv3) uses upgraded data assimilation methods including an adaptive inflation algorithm; has a newer, higher‐resolution forecast model that specifies dry air mass; and assimilates a larger set of pressure observations. These changes have improved the ensemble‐based estimates of confidence, removed spin‐up effects in the precipitation fields, and diminished the sea‐level pressure bias. Other improvements include more accurate representations of storm intensity, smaller errors, and large‐scale reductions in model bias. The 20CRv3 system is comprehensively reviewed, focusing on the aspects that have ameliorated issues in 20CRv2c. Despite the many improvements, some challenges remain, including a systematic bias in tropical precipitation and time‐varying biases in southern high‐latitude pressure fields.
dc.description.sponsorship National Science Center, Poland. Grant Numbers: 2015/19/B/ST10/02933, DEC‐2012/07/B/ST10/04002
dc.language.iso eng
dc.publisher Wiley-Blackwell on behalf of the Royal Meteorological Society
dc.rights info:eu-repo/semantics/openAccess
dc.subject data assimilation
dc.subject reanalysis
dc.subject surface pressure
dc.subject 20CRv3
dc.title Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system
dc.type info:eu-repo/semantics/article


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