Journal article
Decadal climate variability in the tropical Pacific: Characteristics, causes, predictability, and prospects
S Power, M Lengaigne, A Capotondi, M Khodri, J Vialard, B Jebri, E Guilyardi, S McGregor, JS Kug, M Newman, MJ McPhaden, G Meehl, D Smith, J Cole, J Emile-Geay, D Vimont, AT Wittenberg, M Collins, GI Kim, W Cai Show all
Science | Published : 2021
Abstract
Climate variability in the tropical Pacific affects global climate on a wide range of time scales. On interannual time scales, the tropical Pacific is home to the El Niño–Southern Oscillation (ENSO). Decadal variations and changes in the tropical Pacific, referred to here collectively as tropical Pacific decadal variability (TPDV), also profoundly affect the climate system. Here, we use TPDV to refer to any form of decadal climate variability or change that occurs in the atmosphere, the ocean, and over land within the tropical Pacific. “Decadal,” which we use in a broad sense to encompass multiyear through multidecadal time scales, includes variability about the mean state on decadal time sc..
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Awarded by Centre for Southern Hemisphere Oceans Research
Funding Acknowledgements
S.P., W.C., F.D., and C.C. were partially supported by the Earth System and Climate Change Hub of the Australian National Environmental Science Programme. W.C., G.W., and X.Z. were supported by the Centre for Southern Hemisphere Oceans Research, a joint research center between QNLM and CSIRO. M.L., J.V., and E.G. were supported by the Agence Nationale de la Recherche ARISE project, under grant ANR-18-CE01-0012; the Belmont project GOTHAM, under grant ANR-15-JCLI-0004-01; and the Make Our Planet Great Again project ARCHANGE, under grant ANR-18-MPGA-0001. A.C. was supported by the NOAA Climate Program Office's Climate Variability and Predictability (CVP) and Modeling, Analysis, Predictions and Projections (MAPP) programs. S.M. was supported by the Australian Research Council through grant FT160100162 and DP200102329. M.C. was supported by the UK's Natural Environment Research Council, grants NE/N018486/1 and NE/N005783/1. This is PMEL contribution no. 5031. G.M. was partially supported by the Regional and Global Model Analysis (RGMA) component of the Earth and Environmental System Modeling Program of the US Department of Energy's Office of Biological and Environmental Research through National Science Foundation (NSF) IA 1844590 and by NCAR, which is a major facility sponsored by the NSF under cooperative agreement no. 1852977. S.M. was supported by the Australian Research Council through grant FT160100162 and DP20. Y.O. was supported by the NOAA Climate Program Office's MAPP program (NA17OAR4310149) and the NSF Physical Oceanography Program (OCE-1756883). M.N. was partially supported by US Department of Energy grant no. 0000238382. J.J.L. was supported by the National Natural Science Foundation of China (grants 42088101 and 42030605). D.S. was supported by the Met Office Hadley Centre Climate Programme funded by BEIS and DEFRA. J.-S.K. was supported by the National Research Foundation of Korea (NRF-2018R1A5A1024958). J.S. was supported by NOAA's Global Ocean Monitoring and Observing Program through award NA20OAR4320278. B.J.H. was supported by an Australian Research Council Linkage Project (LP150100062).