Understanding El Niño in OceanAtmosphere General Circulation Models: Progress and Challenges

Understanding El Niño in OceanAtmosphere General Circulation Models: Progress and Challenges Determining how El Nio and its impacts may change over the next 10 to 100 years remains a difficult scientific challenge. Ocean-atmosphere coupled general circulation models (CGCMs) are routinely used both to analyze El Nio mechanisms and teleconnections and to predict its evolution on a broad range of time scales, from seasonal to centennial. The ability to simulate El Nio as an emergent property of these models has largely improved over the last few years. Nevertheless, the diversity of model simulations of present-day El Nio indicates current limitations in our ability to model this climate phenomenon and to anticipate changes in its characteristics. A review of the several factors that contribute to this diversity, as well as potential means to improve the simulation of El Nio, is presented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

Understanding El Niño in OceanAtmosphere General Circulation Models: Progress and Challenges

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
D.O.I.
10.1175/2008BAMS2387.1
Publisher site
See Article on Publisher Site

Abstract

Determining how El Nio and its impacts may change over the next 10 to 100 years remains a difficult scientific challenge. Ocean-atmosphere coupled general circulation models (CGCMs) are routinely used both to analyze El Nio mechanisms and teleconnections and to predict its evolution on a broad range of time scales, from seasonal to centennial. The ability to simulate El Nio as an emergent property of these models has largely improved over the last few years. Nevertheless, the diversity of model simulations of present-day El Nio indicates current limitations in our ability to model this climate phenomenon and to anticipate changes in its characteristics. A review of the several factors that contribute to this diversity, as well as potential means to improve the simulation of El Nio, is presented.

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Mar 23, 2009

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