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

Autor: Tsz-cheung Lee, Przemysław Wyszyński, Alexey Kaplan, Andrew Lorrey, Benjamin S. Giese, Rob Allan, Maria Antónia Valente, Hisayuki Kubota, Cary J. Mock, Thomas Cram, Maurizio Maugeri, Chris J. C. Reason, Philip Jones, Linden Ashcroft, Joelle Gergis, Xiaolan L. Wang, Fernando Domínguez-Castro, Christa Pudmenzky, Ed Hawkins, C. McColl, Prashant D. Sardeshmukh, Catherine A. Smith, G. W. Kent Moore, Jürg Luterbacher, Russell S. Vose, Holly A. Titchner, Jeffrey S. Whitaker, Richard C. Cornes, Manola Brunet, Victoria Slonosky, Xungang Yin, Blair Trewin, Laura C. Slivinski, Frank Le Blancq, Rajmund Przybylak, Dario Camuffo, Stefan Brönnimann, R. Crouthamel, John Kennedy, Clive Wilkinson, Lawrence Spencer, J. Eric Freeman, Birger Tinz, Kevin R. Wood, Sylvie Jourdain, Gilbert P. Compo
Rok vydání: 2019
Předmět:
Zdroj: Quarterly Journal of the Royal Meteorological Society
Slivinski, Laura C.; Compo, Gilbert P.; Whitaker, Jeffrey S.; Sardeshmukh, Prashant D.; Giese, Benjamin S.; McColl, Chesley; Allan, Rob; Yin, Xungang; Vose, Russell; Titchner, Holly; Kennedy, John; Spencer, Lawrence J.; Ashcroft, Linden; Brönnimann, Stefan; Brunet, Manola; Camuffo, Dario; Cornes, Richard; Cram, Thomas A.; Crouthamel, Richard; Domínguez-Castro, Fernando; ... (2019). Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Quarterly Journal of the Royal Meteorological Society, 145(724), pp. 2876-2908. Royal Meteorological Society 10.1002/qj.3598
ISSN: 0035-9009
DOI: 10.1002/qj.3598
Popis: 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.
Databáze: OpenAIRE
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