Characterizing decadal to centennial variability in the equatorial Pacific during the last millennium. Issue 13 (9th July 2013)

• Record Type: Journal Article
• Authors: Ault, T. R.; Deser, C.; Newman, M.; Emile‐Geay, J.
• Is Part Of: Geophysical research letters. Volume 40:Issue 13(2013:Jul.)
• Page Start: 3450
• Page End: 3456
• Publication Date: 2013-07-09
• Subjects: Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1002/grl.50647
• Languages: English
• ISSNs: 0094-8276

Abstract

<abstract abstract-type="main" id="grl50647-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p id="grl50647-para-0001">[1] The magnitude of sea surface temperature variability in the NINO3.4 region of the equatorial Pacific on decadal and longer timescales is assessed in observational data, state‐of‐the‐art (Coupled Model Intercomparison Project 5) climate model simulations, and a new ensemble of paleoclimate reconstructions. On decadal to multidecadal timescales, variability in these records is consistent with the null hypothesis that it arises from "multivariate red noise" (a multivariate Ornstein‐Uhlenbeck process) generated from a linear inverse model of tropical ocean‐atmosphere dynamics. On centennial and longer timescales, both a last millennium simulation performed using the Community Climate System Model 4 (CCSM4) and the paleoclimate reconstructions have variability that is significantly stronger than the null hypothesis. However, the time series of the model and the reconstruction do not agree with each other. In the model, variability primarily reflects a thermodynamic response to reconstructed solar and volcanic activity, whereas in the reconstruction, variability arises from either internal climate processes, forced responses that differ from those in CCSM4, or nonclimatic proxy processes that are not yet understood. These findings imply that the response of the tropical Pacific to future forcings may be even more uncertain than portrayed by state‐of‐the‐art models because there are potentially important sources of century‐scale variability that these models do not simulate.</p> </abstract>