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The representation of solar cycle signals in stratospheric ozone – Part 2: Analysis of global models

Maycock, Amanda C.; Matthes, Katja; Tegtmeier, Susann; Schmidt, Hauke; Thiéblemont, Rémi; Hood, Lon; Akiyoshi, Hideharu; Bekki, Slimane; Deushi, Makoto; Jöckel, Patrick; Kirner, Oliver; Kunze, Markus; Marchand, Marion; Marsh, Daniel R.; Michou, Martine; Plummer, David; Revell, Laura E.; Rozanov, Eugene; Stenke, Andrea; Yamashita, Yousuke; ... mehr

The impact of changes in incoming solar irradiance on stratospheric ozone abundances should be included in climate simulations to aid in capturing the atmospheric response to solar cycle variability. This study presents the first systematic comparison of the representation of the 11-year solar cycle ozone response (SOR) in chemistry–climate models (CCMs) and in pre-calculated ozone databases specified in climate models that do not include chemistry, with a special focus on comparing the recommended protocols for the Coupled Model Intercomparison Project Phase 5 and Phase 6 (CMIP5 and CMIP6). We analyse the SOR in eight CCMs from the Chemistry–Climate Model Initiative (CCMI-1) and compare these with results from three ozone databases for climate models: the Bodeker Scientific ozone database, the SPARC/Atmospheric Chemistry and Climate (AC&C) ozone database for CMIP5 and the SPARC/CCMI ozone database for CMIP6. The peak amplitude of the annual mean SOR in the tropical upper stratosphere (1–5hPa) decreases by more than a factor of 2, from around 5 to 2%, between the CMIP5 and CMIP6 ozone databases. This substantial decrease can be traced to the CMIP5 ozone database being constructed from a regression model fit to satellite and ozonesonde measurements, while the CMIP6 database is constructed from CCM simulations. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000085323
Veröffentlicht am 15.08.2018
DOI: 10.5194/acp-18-11323-2018
Zitationen: 10
Web of Science
Zitationen: 10
Zitationen: 12
Cover der Publikation
Zugehörige Institution(en) am KIT Steinbuch Centre for Computing (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2018
Sprache Englisch
Identifikator ISSN: 1680-7324
KITopen-ID: 1000085323
HGF-Programm 46.11.01 (POF III, LK 01) Computational Science and Mathematical Methods
Erschienen in Atmospheric chemistry and physics
Verlag European Geosciences Union (EGU)
Band 18
Heft 15
Seiten 11323–11343
Vorab online veröffentlicht am 13.08.2018
Nachgewiesen in Dimensions
Web of Science
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