North Atlantic variability driven by stochastic forcing in a simple model

This study investigates the mechanisms driving North Atlantic (NA) variability using a simple model that incorporates the time evolution of interactive upper ocean temperature anomalies, horizontal (Gyre, Ψg) and vertical (meridional overturning circulation, Ψm) circulation. Th...

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Main Authors: Igor V. Polyakov, Roman V. Bekryaev, Xiangdong Zhang, Uma S. Bhatt, Rebecca Legatt
Format: Article
Language:English
Published: Stockholm University Press 2012-06-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
Online Access:http://www.tellusa.net/index.php/tellusa/article/view/18695/pdf_2
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author Igor V. Polyakov
Roman V. Bekryaev
Xiangdong Zhang
Uma S. Bhatt
Rebecca Legatt
author_facet Igor V. Polyakov
Roman V. Bekryaev
Xiangdong Zhang
Uma S. Bhatt
Rebecca Legatt
author_sort Igor V. Polyakov
collection DOAJ
description This study investigates the mechanisms driving North Atlantic (NA) variability using a simple model that incorporates the time evolution of interactive upper ocean temperature anomalies, horizontal (Gyre, Ψg) and vertical (meridional overturning circulation, Ψm) circulation. The model is forced with multicentury long synthetic time series of external stochastic forcing that captures key statistical properties of observations such as the range of fluctuations and persistence of processes. The simulated oceanic response may be viewed as a delayed response to a cumulative atmospheric forcing over an interval defined by the system damping properties. Depending on the choice of parameters, the model suggests either compensatory mechanism (Ψm and Ψg are anti-correlated) or amplification mechanism (Ψm and Ψg are positively correlated). The compensatory mechanism implies that an increase of heat supplied by an anomalously strong Ψg would be balanced by a decrease of heat provided by a weaker Ψm and vice versa. The amplification mechanism suggests that both Ψm and Ψg maintain the heat budget in the system compensating its damping properties. Some evidence for these mechanisms is found in a global climate model. Further investigations of NA variability mechanisms are important as they improve understanding of how the NA climate system functions.
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spelling doaj.art-4b1776c5e39143c69a6a985427aeb3072022-12-22T02:24:58ZengStockholm University PressTellus: Series A, Dynamic Meteorology and Oceanography0280-64951600-08702012-06-0164012010.3402/tellusa.v64i0.18695North Atlantic variability driven by stochastic forcing in a simple modelIgor V. PolyakovRoman V. BekryaevXiangdong ZhangUma S. BhattRebecca LegattThis study investigates the mechanisms driving North Atlantic (NA) variability using a simple model that incorporates the time evolution of interactive upper ocean temperature anomalies, horizontal (Gyre, Ψg) and vertical (meridional overturning circulation, Ψm) circulation. The model is forced with multicentury long synthetic time series of external stochastic forcing that captures key statistical properties of observations such as the range of fluctuations and persistence of processes. The simulated oceanic response may be viewed as a delayed response to a cumulative atmospheric forcing over an interval defined by the system damping properties. Depending on the choice of parameters, the model suggests either compensatory mechanism (Ψm and Ψg are anti-correlated) or amplification mechanism (Ψm and Ψg are positively correlated). The compensatory mechanism implies that an increase of heat supplied by an anomalously strong Ψg would be balanced by a decrease of heat provided by a weaker Ψm and vice versa. The amplification mechanism suggests that both Ψm and Ψg maintain the heat budget in the system compensating its damping properties. Some evidence for these mechanisms is found in a global climate model. Further investigations of NA variability mechanisms are important as they improve understanding of how the NA climate system functions.http://www.tellusa.net/index.php/tellusa/article/view/18695/pdf_2North Atlanticstochastic modellingvariability
spellingShingle Igor V. Polyakov
Roman V. Bekryaev
Xiangdong Zhang
Uma S. Bhatt
Rebecca Legatt
North Atlantic variability driven by stochastic forcing in a simple model
Tellus: Series A, Dynamic Meteorology and Oceanography
North Atlantic
stochastic modelling
variability
title North Atlantic variability driven by stochastic forcing in a simple model
title_full North Atlantic variability driven by stochastic forcing in a simple model
title_fullStr North Atlantic variability driven by stochastic forcing in a simple model
title_full_unstemmed North Atlantic variability driven by stochastic forcing in a simple model
title_short North Atlantic variability driven by stochastic forcing in a simple model
title_sort north atlantic variability driven by stochastic forcing in a simple model
topic North Atlantic
stochastic modelling
variability
url http://www.tellusa.net/index.php/tellusa/article/view/18695/pdf_2
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AT xiangdongzhang northatlanticvariabilitydrivenbystochasticforcinginasimplemodel
AT umasbhatt northatlanticvariabilitydrivenbystochasticforcinginasimplemodel
AT rebeccalegatt northatlanticvariabilitydrivenbystochasticforcinginasimplemodel