North Atlantic variability driven by stochastic forcing in a simple model

• Published in: Tellus A: Dynamic Meteorology and Oceanography
• Main Authors: Igor V. Polyakov, Roman V. Bekryaev, Xiangdong Zhang, Uma S. Bhatt, Rebecca Legatt
• Format: Article in Journal/Newspaper
• Language: English
• Published: Stockholm University Press 2012
• Subjects: North Atlantic; stochastic modelling; variability; Oceanography; GC1-1581; Meteorology. Climatology; QC851-999
• Online Access: https://doi.org/10.3402/tellusa.v64i0.18695; https://doaj.org/article/4b1776c5e39143c69a6a985427aeb307

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.