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

  • Neal Butchart
  • , James A. Anstey
  • , Kevin Hamilton
  • , Scott Osprey
  • , Charles McLandress
  • , Andrew C. Bushell
  • , Yoshio Kawatani
  • , Young Ha Kim
  • , Francois Lott
  • , John Scinocca
  • , Timothy N. Stockdale
  • , Martin Andrews
  • , Omar Bellprat
  • , Peter Braesicke
  • , Chiara Cagnazzo
  • , Chih Chieh Chen
  • , Hye Yeong Chun
  • , Mikhail Dobrynin
  • , Rolando R. Garcia
  • , Javier Garcia-Serrano
  • Lesley J. Gray, Laura Holt, Tobias Kerzenmacher, Hiroaki Naoe, Holger Pohlmann, Jadwiga H. Richter, Adam A. Scaife, Verena Schenzinger, Federico Serva, Stefan Versick, Shingo Watanabe, Kohei Yoshida, Seiji Yukimoto
  • Now at Met Office Hadley Centre
  • Meteorological Research Branch
  • JAMSTEC
  • University of Oxford
  • University of Toronto
  • Ewha Womans University
  • European Centre for Medium-Range Weather Forecasts
  • Earth Sciences
  • Institute of Meteorology and Climate Research
  • Ev-K2-CNR Committee
  • National Center for Atmospheric Research
  • Yonsei University
  • Universität Hamburg
  • NorthWest Research Associates, Inc.
  • JMA Meteorological Research Institute
  • Max Planck Institute for Meteorology
  • University of Exeter
  • University of Vienna
  • Università di Napoli Parthenope

Résultats de recherche: Contribution à un journalArticle de révisionRevue par des pairs

Résumé

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.

langue originaleAnglais
Pages (de - à)1009-1032
Nombre de pages24
journalGeoscientific Model Development
Volume11
Numéro de publication3
Les DOIs
étatPublié - 16 mars 2018

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