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Open AccessJournal ArticleDOI

Causes of low frequency North Atlantic SST variability in a coupled GCM

TLDR
In this paper, the relative roles of stable and unstable coupled feedbacks in inducing the low frequency SST variability in various regions of the North Atlantic are studied using a coupled general circulation model.
Abstract
[1] The relative roles of stable and unstable coupled feedbacks in inducing the low frequency SST variability in various regions of the North Atlantic are studied using a coupled general circulation model The interactive ensemble technique is applied to reduce the strength of “weather noise” in the model and isolate the atmospheric feedback to boundary forcing We find that the low frequency SST variability in the subtropical North Atlantic is mainly induced by stable coupled feedbacks in which the weather noise plays a central role However, in the Gulf Stream extension area, the SST variability may be attributed to processes internal to the ocean Although the results are not definitive, there is no compelling evidence that unstable coupled feedbacks are important for low frequency SST variability in the North Atlantic in this model

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Citations
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Journal ArticleDOI

Observed Decadal North Atlantic Tripole SST Variability. Part I: Weather Noise Forcing and Coupled Response

TL;DR: In this paper, the authors analyzed the mechanisms responsible for the decadal variability of the tripole mode of North Atlantic SST during the latter half of the twentieth century using a new technique.
Journal ArticleDOI

Internal atmospheric dynamics and tropical indo-Pacific climate variability

TL;DR: In this article, a new coupled general circulation model (CGCM) coupling strategy, called an interactive ensemble, was proposed to test the null hypothesis for tropical sea surface temperature (SST) interannual variability.
Journal ArticleDOI

ENSO predictability of a fully coupled GCM model using singular vector analysis

TL;DR: In this article, the error growth properties of ENSO in a fully coupled global climate model are investigated using a recently developed method of computing climatically relevant singular vectors (SVs).
Journal ArticleDOI

Weather Noise Forcing of Surface Climate Variability

TL;DR: In this article, an interactive ensemble coupled model is presented to evaluate the role of weather noise forcing of low-frequency variability of surface properties, including SST, surface currents, land surface temperature, and soil moisture.
Journal ArticleDOI

The Equatorial Pacific Cold Tongue Bias in a Coupled Climate Model

TL;DR: In this article, a set of multidecadal coupled ocean-atmosphere model integrations are conducted with different time steps for coupling between the atmosphere and the ocean, and it is shown that the mean state of the equatorial Pacific does not change in a statistically significant manner when the coupling interval between the atmospheric general circulation model (AGCM) and OGC model (OGCM) is changed from 1 day to 2 or even 3 days.
References
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Journal ArticleDOI

Stochastic climate models Part I. Theory

TL;DR: In this article, a stochastic model of climate variability is considered in which slow changes of climate are explained as the integral response to continuous random excitation by short period "weather" disturbances.
Journal ArticleDOI

Causes of Decadal Climate Variability over the North Pacific and North America

TL;DR: The cause of decadal climate variability over the North Pacific Ocean and North America is investigated by the analysis of data from a multidecadal integration with a state-of-the-art coupled ocean-atmosphere model and observations.
BookDOI

Stochastic climate models

TL;DR: The hierarchy of climate models The emergence of randomness - chaos, averaging, limit theorems tools and methods - SDE, dynamical systems, SPDE, multiscale techniques reduced stochastic models and particular techniques as mentioned in this paper.
Journal ArticleDOI

Decadal climate variability over the North Pacific and North America: Dynamics and predictability

TL;DR: In this article, the dynamics and predictability of decadal climate variability over the North Pacific and North America are investigated by analyzing various observational datasets and the output of a state-of-the-art coupled ocean-atmosphere general circulation model that was integrated for 125 years.
Journal ArticleDOI

The Basic Effects of Atmosphere–Ocean Thermal Coupling on Midlatitude Variability*

TL;DR: In this article, a simple stochastically forced, one-dimensional, linear, coupled energy balance model is proposed to quantify the effects of coupling between the atmosphere and ocean in the midlatitudes.
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We find that the low frequency SST variability in the subtropical North Atlantic is mainly induced by stable coupled feedbacks in which the weather noise plays a central role.