@Article{MillerCGJMPPPST:2017:CoOcMo,
author = "Miller, Arthur J. and Collins, Mat and Gualdi, Silvio and Jensen,
Tommy G. and Misra, Vasu and Pezzi, Luciano Ponzi and Pierce,
David W. and Putrasahan, Dian and Seo, Hyodae and Tseng, Yu-Heng",
affiliation = "{Scripps Institution of Oceanography} and {University of Exeter}
and {Centro Euro-Mediterraneo sui Cambiamenti Climatici} and {U.S.
Naval Research Laboratory} and {Florida State University} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Scripps
Institution of Oceanography} and {Max Planck Institute for
Meteorology} and {Woods Hole Oceanographic Institution} and
{National Taiwan University}",
title = "Coupled ocean-atmosphere modeling and predictions",
journal = "Journal of Marine Research",
year = "2017",
volume = "75",
number = "3",
pages = "361--402",
month = "May",
keywords = "CLIMATE MODELING, CLIMATE PREDICTABILITY, DECADAL CLIMATE
VARIABILITY, EL NIŅO SOUTHERN OSCILLATION, ENSO, GLOBAL WARMING,
MONSOONS, OCEAN-ATMOSPHERELAND INTERACTIONS, REGIONAL CLIMATE
DOWNSCALING.",
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 Niņo 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.",
doi = "10.1357/002224017821836770",
url = "http://dx.doi.org/10.1357/002224017821836770",
issn = "0022-2402",
language = "en",
targetfile = "miller_coupled.pdf",
urlaccessdate = "27 abr. 2024"
}