Journal article
Spatial and temporal agreement in climate model simulations of the Interdecadal Pacific Oscillation
Benjamin J Henley, Gerald Meehl, Scott B Power, Chris K Folland, Andrew D King, Jaclyn N Brown, David J Karoly, Francois Delage, Ailie JE Gallant, Mandy Freund, Raphael Neukom
Environmental Research Letters | Institute of Physics (IoP) | Published : 2017
Abstract
Accelerated warming and hiatus periods in the long-term rise of Global Mean Surface Temperature (GMST) have, in recent decades, been associated with the Interdecadal Pacific Oscillation (IPO). Critically, decadal climate prediction relies on the skill of state-of-the-art climate models to reliably represent these low-frequency climate variations. We undertake a systematic evaluation of the simulation of the IPO in the suite of Coupled Model Intercomparison Project 5 (CMIP5) models. We track the IPO in pre-industrial (control) and all-forcings (historical) experiments using the IPO tripole index (TPI). The TPI is explicitly aligned with the observed spatial pattern of the IPO, and circumvents..
View full abstractRelated Projects (2)
Grants
Awarded by Australian Research Council Linkage Project
Awarded by Australian Research Council's Centre of Excellence for Climate System Science
Awarded by Regional and Global Climate Modeling Program (RGCM) of the U.S. Department of Energy's Office of Biological & Environmental Research (BER)
Awarded by Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme
Awarded by Swiss NSF
Funding Acknowledgements
BH acknowledges support from an Australian Research Council Linkage Project LP150100062. BH and AG are affiliated with, and AK, DK and MF receive funding from, the Australian Research Council's Centre of Excellence for Climate System Science (CE110001028). GM is supported by the Regional and Global Climate Modeling Program (RGCM) of the U.S. Department of Energy's Office of Biological & Environmental Research (BER) Cooperative Agreement #DE-FC2-97ER62402, and the National Science Foundation through their sponsorship of the National Center for Atmospheric Research. CKF was supported by the Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101). RN is supported by the Swiss NSF grant PZ00P2_154802. The authors acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. For CMIP the U. S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. The authors thank John Kennedy and Joelle Gergis for their comments on an earlier version of this article.