Coupled ocean–atmosphere modeling and predictions

dc.contributor.author Miller, Arthur J.
dc.contributor.author Collins, Matthew
dc.contributor.author Gualdi, Silvio
dc.contributor.author Jensen, Tommy G.
dc.contributor.author Misra, Vasu
dc.contributor.author Pezzi, Luciano Ponzi
dc.contributor.author Pierce, David W.
dc.contributor.author Putrasahan, Dian
dc.contributor.author Seo, Hyodae
dc.contributor.author Tseng, Yu-Heng
dc.date.accessioned 2017-11-20T19:23:21Z
dc.date.available 2017-11-20T19:23:21Z
dc.date.issued 2017-05-01
dc.description Author Posting. © The Authors, 2017. This article is posted here by permission of Sears Foundation for Marine Research for personal use, not for redistribution. The definitive version was published in Journal of Marine Research 75 (2017): 361-402, doi:10.1357/002224017821836770. en_US
dc.description.abstract 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 Niño 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 regionalscale effects are also discussed. In this light of these processes, the prospects for practical climate predictability are also presented. en_US
dc.description.sponsorship AJMwas supported by theNSFEarth System Modeling Program (OCE1419306) and the NOAA Climate Variability and Prediction Program (NA14OAR4310276). HS thanks the Office of Naval Research for support under N00014-15-1-2588. LPP was supported by “Advanced Studies in Medium and High Latitudes Oceanography” (CAPES 23038.004304/2014-28) and “National Institute of Science andTechnology of the Cryosphere” (CNPq/PROANTAR704222/2009). VM was supported by NOAA grant NA12OAR4310078. TGJ was supported by the U. S. Naval Research Laboratory 6.2 project “Fresh Water Balance in the Coupled Ocean-Atmosphere System” (BE-435-040-62435N-6777) YHT was supported by the MOST grant 106-2111-M-002-001, Taiwan. en_US
dc.identifier.citation Journal of Marine Research 75 (2017): 361-402 en_US
dc.identifier.doi 10.1357/002224017821836770
dc.identifier.uri https://hdl.handle.net/1912/9386
dc.language.iso en_US en_US
dc.publisher Sears Foundation for Marine Research en_US
dc.relation.uri https://doi.org/10.1357/002224017821836770
dc.subject Climate modeling en_US
dc.subject Climate predictability en_US
dc.subject Decadal climate variability en_US
dc.subject El Niño Southern Oscillation en_US
dc.subject ENSO en_US
dc.subject Global warming en_US
dc.subject Monsoons en_US
dc.subject Ocean-atmospherel and interactions en_US
dc.subject Regional climate downscaling en_US
dc.title Coupled ocean–atmosphere modeling and predictions en_US
dc.type Article en_US
dspace.entity.type Publication
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