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The response of a stochastically forced ENSO model to observed off-equatorial wind stress forcing

Citation

McGregor, S and Holbrook, NJ and Power, SB, The response of a stochastically forced ENSO model to observed off-equatorial wind stress forcing, Journal of Climate, 22, (10) pp. 2512-2525. ISSN 0894-8755 (2009) [Refereed Article]


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Copyright Statement

© 2009 American Meteorological Society

Official URL: http://www.ametsoc.org/

DOI: doi:10.1175/2008JCLI2387.1

Abstract

This study investigates the response of a stochastically forced coupled atmosphere–ocean model of the equatorial Pacific to off-equatorial wind stress anomaly forcing. The intermediate-complexity coupled ENSO model comprises a linear, first baroclinic mode, ocean shallow water model with a steady-state, two–pressure level (250 and 750 mb) atmospheric component that has been linearized about a state of rest on the b plane. Estimates of observed equatorial region stochastic forcing are calculated from NCEP–NCAR reanalysis surface winds for the period 1950–2006 using singular value decomposition. The stochastic forcing is applied to the model both with and without off-equatorial region wind stress anomalies (i.e., poleward of 12.58 latitude). It is found that the multiyear changes in the equatorial Pacific thermocline depth ‘‘background state’’ induced by off-equatorial forcing can affect the amplitude of modeled sea surface temperature anomalies by up to 18C. Moreover, off-equatorial wind stress anomalies increased the modeled amplitude of the two biggest El Nin˜ o events in the twentieth century (1982/83 and 1997/98) by more than 0.58C, resulting in a more realistic modeled response. These equatorial changes driven by off-equatorial region wind stress anomalies are highly predictable to two years in advance and may be useful as a physical basis to enhance multiyear probabilistic predictions of ENSO indices.

Item Details

Item Type:Refereed Article
Research Division:Earth Sciences
Research Group:Atmospheric Sciences
Research Field:Climate Change Processes
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Climate Variability (excl. Social Impacts)
Author:Holbrook, NJ (Professor Neil Holbrook)
ID Code:57245
Year Published:2009
Web of Science® Times Cited:11
Deposited By:Geography and Environmental Studies
Deposited On:2009-06-30
Last Modified:2010-06-17
Downloads:0

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