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Coupled ocean-atmosphere modeling and predictions

TitleCoupled ocean-atmosphere modeling and predictions
Publication TypeJournal Article
Year of Publication2017
AuthorsMiller AJ, Collins M., Gualdi S., Jensen T.G, Misra V., Pezzi L.P, Pierce DW, Putrasahan D., Seo H, Tseng Y.H
JournalJournal of Marine Research
Date Published2017/05
Type of ArticleArticle
ISBN Number0022-2402
Accession NumberWOS:000413829200010
Keywordsatlantic warm-pool; basic state biases; circulation; climate modeling; climate predictability; Climate variability; decadal; El Nino Southern Oscillation; el-nino; enso; global warming; interdecadal climate variability; madden-julian oscillation; Meridional overturning; monsoon-enso system; Monsoons; north pacific-ocean; ocean-atmosphere-land interactions; regional climate downscaling; sea-surface temperature; thermohaline circulation

Key aspects of the current state of the ability of global and regional climate models to represent dynamical processes and precipitation variations are summarized. Interannual, decadal, and global-warming timescales, wherein the influence of the oceans is relevant and the potential for predictability is highest, are emphasized. Oceanic influences on climate occur throughout the ocean and extend over land to affect many types of climate variations, including monsoons, the El Nino Southern Oscillation, decadal oscillations, and the response to greenhouse gas emissions. The fundamental ideas of coupling between the ocean-atmosphere-land system are explained for these modes in both global and regional contexts. Global coupled climate models are needed to represent and understand the complicated processes involved and allow us to make predictions over land and sea. Regional coupled climate models are needed to enhance our interpretation of the fine-scale response. The mechanisms by which large-scale, low-frequency variations can influence shorter timescale variations and drive regional-scale effects are also discussed. In this light of these processes, the prospects for practical climate predictability are also presented.

Short TitleJ. Mar. Res.
Student Publication: