4.7 Article

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

Journal

GEOSCIENTIFIC MODEL DEVELOPMENT
Volume 11, Issue 3, Pages 1009-1032

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/gmd-11-1009-2018

Keywords

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Funding

  1. UK Natural Environment Research Council [NE/M005828/1]
  2. World Climate Research Programme (WCRP)
  3. Canadian Centre for Climate Modelling and Analysis
  4. UK BEIS/Defra Met Office Hadley Centre Climate Programme [GA01101]
  5. NERC projects [NE/M005828/1, NE/P006779/1]
  6. SOUSEI programme, MEXT Japan
  7. Japan Science and Technology Agency (JST), Belmont Forum
  8. Japan Society for the Promotion of Science [26287117, 15KK0178]
  9. Environment Research and Technology Development Fund of the Ministry of the Environment, Japan [2-1503]
  10. ANR/JPI-Climate/Belmont Forum project GOTHAM [ANR-15-JCLI-0004-01]
  11. European Commission [StratoClim-603557-FP7-ENV.2013.6.1-2]
  12. Basic Science Research Program through the National Research Foundation of Korea - Ministry of Science, ICT & Future Planning [NRF-2015R1C1A1A02036449]
  13. German Federal Ministry for Education and Research (BMBF) project MiKlip [FKZ 01LP1519A]
  14. Spanish MINECO-DANAE project [CGL2015-68342-R]
  15. Red Espanola de Supercomputacion (RES project) [AECT-2017-3-0015]
  16. Stratosphere-troposphere Processes And their Role in Climate (SPARC) activity
  17. NERC [NE/M005828/1, NE/P006779/1, ncas10003, NE/N010965/1] Funding Source: UKRI
  18. Grants-in-Aid for Scientific Research [15KK0178, 26287117] Funding Source: KAKEN

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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 presentday 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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