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contributor authorHawkins, Ed
contributor authorSutton, Rowan
date accessioned2017-06-09T16:29:02Z
date available2017-06-09T16:29:02Z
date copyright2009/07/01
date issued2009
identifier issn0894-8755
identifier otherams-68696.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4210282
description abstractThe decadal predictability of three-dimensional Atlantic Ocean anomalies is examined in a coupled global climate model [the third climate configuration of the Met Office Unified Model (HadCM3)] using a linear inverse modeling (LIM) approach. It is found that the evolution of temperature and salinity in the Atlantic, and the strength of the meridional overturning circulation (MOC), can be effectively described by a linear dynamical system forced by white noise. The forecasts produced using this linear model are more skillful than other reference forecasts for several decades. Furthermore, significant nonnormal amplification is found under several different norms. The regions from which this growth occurs are found to be fairly shallow and located in the far North Atlantic. Initially, anomalies in the Nordic seas impact the MOC and the anomalies then grow to fill the entire Atlantic basin, especially at depth, over one to three decades. It is found that the structure of the optimal initial condition for amplification is sensitive to the norm employed, but the initial growth seems to be dominated by MOC-related basin-scale changes, irrespective of the choice of norm. The consistent identification of the far North Atlantic as the most sensitive region for small perturbations suggests that additional observations in this region would be optimal for constraining decadal climate predictions.
publisherAmerican Meteorological Society
titleDecadal Predictability of the Atlantic Ocean in a Coupled GCM: Forecast Skill and Optimal Perturbations Using Linear Inverse Modeling
typeJournal Paper
journal volume22
journal issue14
journal titleJournal of Climate
identifier doi10.1175/2009JCLI2720.1
journal fristpage3960
journal lastpage3978
treeJournal of Climate:;2009:;volume( 022 ):;issue: 014
contenttypeFulltext


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