Coupled ocean–atmosphere modeling and predictions

View/ Open
Date
2017-05-01Author
Miller, Arthur J.
Concept link
Collins, Matthew
Concept link
Gualdi, Silvio
Concept link
Jensen, Tommy G.
Concept link
Misra, Vasu
Concept link
Pezzi, Luciano Ponzi
Concept link
Pierce, David W.
Concept link
Putrasahan, Dian
Concept link
Seo, Hyodae
Concept link
Tseng, Yu-Heng
Concept link
Metadata
Show full item recordCitable URI
https://hdl.handle.net/1912/9386As published
https://doi.org/10.1357/002224017821836770DOI
10.1357/002224017821836770Keyword
Climate modeling; Climate predictability; Decadal climate variability; El Niño Southern Oscillation; ENSO; Global warming; Monsoons; Ocean-atmospherel and interactions; Regional climate downscalingAbstract
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.
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.
Collections
Suggested Citation
Journal of Marine Research 75 (2017): 361-402Related items
Showing items related by title, author, creator and subject.
-
Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System
Wilkin, John L.; Rosenfeld, Leslie K.; Allen, Arthur; Baltes, Rebecca; Baptista, Antonio; He, Ruoying; Hogan, Patrick; Kurapov, Alexander; Mehra, Avichal; Quintrell, Josie; Schwab, David; Signell, Richard P.; Smith, Jane (2017-04-19)This paper outlines strategies that would advance coastal ocean modeling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the U.S. Integrated Ocean ... -
The CBLAST-Hurricane program and the next-generation fully coupled atmosphere–wave–ocean models for hurricane research and prediction
Chen, Shuyi S.; Zhao, Wei; Donelan, Mark A.; Price, James F.; Walsh, Edward J. (American Meteorological Society, 2007-03)The record-setting 2005 hurricane season has highlighted the urgent need for a better understanding of the factors that contribute to hurricane intensity, and for the development of corresponding advanced hurricane ... -
The sensitivity and predictability of mesoscale eddies in an idealized model ocean
Haidvogel, Dale B. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1976-04)Two numerical applications of two-level quasigeostrophic theory are used to investigate the interrelationships of the mean and mesoscale eddy fields in a closed-basin ocean model. The resulting techniques provide a more ...