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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 3
Geosci. Model Dev., 11, 1009-1032, 2018
https://doi.org/10.5194/gmd-11-1009-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 1009-1032, 2018
https://doi.org/10.5194/gmd-11-1009-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model experiment description paper 16 Mar 2018

Model experiment description paper | 16 Mar 2018

Overview of experiment design and comparison of models participating in phase 1 of the SPARC Quasi-Biennial Oscillation initiative (QBOi)

Neal Butchart1, James A. Anstey2, Kevin Hamilton3, Scott Osprey4, Charles McLandress5,2, Andrew C. Bushell6, Yoshio Kawatani7, Young-Ha Kim8, Francois Lott9, John Scinocca2, Timothy N. Stockdale10, Martin Andrews1, Omar Bellprat11, Peter Braesicke12, Chiara Cagnazzo13, Chih-Chieh Chen14, Hye-Yeong Chun15, Mikhail Dobrynin16, Rolando R. Garcia14, Javier Garcia-Serrano11, Lesley J. Gray4, Laura Holt17, Tobias Kerzenmacher12, Hiroaki Naoe18, Holger Pohlmann19, Jadwiga H. Richter14, Adam A. Scaife1,20, Verena Schenzinger21, Federico Serva13,22, Stefan Versick12, Shingo Watanabe7, Kohei Yoshida18, and Seiji Yukimoto18 Neal Butchart et al.
  • 1Met Office Hadley Centre (MOHC), Exeter, UK
  • 2Canadian Centre for Climate Modelling and Analysis (CCCma), Victoria, Canada
  • 3International Pacific Research Center (IPRC), Honolulu, USA
  • 4National Centre for Atmospheric Science (NCAS), University of Oxford, Oxford, UK
  • 5University of Toronto, Toronto, Canada
  • 6Met Office, Exeter, UK
  • 7Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama, Japan
  • 8Ewha Womans University, Seoul, South Korea
  • 9Laboratoire de Météorologie Dynamique (LMD), Paris, France
  • 10European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
  • 11Barcelona Supercomputing Center (BSC), Barcelona, Spain
  • 12Karlsruher Institut für Technologie (KIT), Karlsruhe, Germany
  • 13Istituto di Scienze Dell'Atmosfera e del Clima (ISAC-CNR), Rome, Italy
  • 14National Center for Atmospheric Research (NCAR), Boulder, USA
  • 15Yonsei University, Seoul, South Korea
  • 16Universität Hamburg, Hamburg, Germany
  • 17NorthWest Research Associates (NWRA), Boulder, USA
  • 18Meteorological Research Institute (MRI), Tsukuba, Japan
  • 19Max-Planck-Institut für Meteorologie (MPI), Hamburg, Germany
  • 20University of Exeter, Exeter, UK
  • 21Universität Wien, Vienna, Austria
  • 22Università degli Studi di Napoli “Parthenope”, Naples, Italy

Abstract. The Stratosphere–troposphere Processes And their Role in Climate (SPARC) Quasi-Biennial Oscillation initiative (QBOi) aims to improve the fidelity of tropical stratospheric variability in general circulation and Earth system models by conducting coordinated numerical experiments and analysis. In the equatorial stratosphere, the QBO is the most conspicuous mode of variability. Five coordinated experiments have therefore been designed to (i) evaluate and compare the verisimilitude of modelled QBOs under present-day conditions, (ii) identify robustness (or alternatively the spread and uncertainty) in the simulated QBO response to commonly imposed changes in model climate forcings (e.g. a doubling of CO2 amounts), and (iii) examine model dependence of QBO predictability. This paper documents these experiments and the recommended output diagnostics. The rationale behind the experimental design and choice of diagnostics is presented. To facilitate scientific interpretation of the results in other planned QBOi studies, consistent descriptions of the models performing each experiment set are given, with those aspects particularly relevant for simulating the QBO tabulated for easy comparison.

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This paper documents the numerical experiments to be used in phase 1 of the Stratosphere–troposphere Processes And their Role in Climate (SPARC) Quasi-Biennial Oscillation initiative (QBOi), which was set up to improve the representation of the QBO and tropical stratospheric variability in global climate models.
This paper documents the numerical experiments to be used in phase 1 of the...
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