Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean

Ocean general circulation models (GCMs), as part of comprehensive climate models, are extensively used for experimental decadal climate prediction. Understanding the limits of decadal ocean predictability is critical for making progress in these efforts. However, when forced with observed fields at...

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Published in:Journal of Climate
Main Authors: Sévellec, Florian, Fedorov, Alexey V.
Format: Article in Journal/Newspaper
Language:English
Published: 2013
Subjects:
Online Access:https://eprints.soton.ac.uk/354882/
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spelling ftsouthampton:oai:eprints.soton.ac.uk:354882 2023-07-30T04:07:01+02:00 Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean Sévellec, Florian Fedorov, Alexey V. 2013-06 https://eprints.soton.ac.uk/354882/ English eng Sévellec, Florian and Fedorov, Alexey V. (2013) Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean. Journal of Climate, 26 (11), 3688-3707. (doi:10.1175/JCLI-D-12-00199.1 <http://dx.doi.org/10.1175/JCLI-D-12-00199.1>). Article PeerReviewed 2013 ftsouthampton https://doi.org/10.1175/JCLI-D-12-00199.1 2023-07-09T21:47:54Z Ocean general circulation models (GCMs), as part of comprehensive climate models, are extensively used for experimental decadal climate prediction. Understanding the limits of decadal ocean predictability is critical for making progress in these efforts. However, when forced with observed fields at the surface, ocean models develop biases in temperature and salinity. Here, the authors ask two complementary questions related to both decadal prediction and model bias: 1) Can the bias be temporarily reduced and the prediction improved by perturbing the initial conditions? 2) How fast will such initial perturbations grow? To answer these questions, the authors use a realistic ocean GCM and compute temperature and salinity perturbations that reduce the model bias most efficiently during a given time interval. The authors find that to reduce this bias, especially pronounced in the upper ocean above 1000 m, initial perturbations should be imposed in the deep ocean (specifically, in the Southern Ocean). Over 14 yr, a 0.1-K perturbation in the deep ocean can induce a temperature anomaly of several kelvins in the upper ocean, partially reducing the bias.Acorollary of these results is that small initialization errors in the deep ocean can produce large errors in the upper-ocean temperature on decadal time scales, which can be interpreted as a decadal predictability barrier associated with ocean dynamics. To study the mechanisms of the perturbation growth, the authors formulate an idealized model describing temperature anomalies in the Southern Ocean. The results indicate that the strong mean meridional temperature gradient in this region enhances the sensitivity of the upper ocean to deep-ocean perturbations through nonnormal dynamics generating pronounced stationary-wave patterns. Article in Journal/Newspaper Southern Ocean University of Southampton: e-Prints Soton Southern Ocean Journal of Climate 26 11 3688 3707
institution Open Polar
collection University of Southampton: e-Prints Soton
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language English
description Ocean general circulation models (GCMs), as part of comprehensive climate models, are extensively used for experimental decadal climate prediction. Understanding the limits of decadal ocean predictability is critical for making progress in these efforts. However, when forced with observed fields at the surface, ocean models develop biases in temperature and salinity. Here, the authors ask two complementary questions related to both decadal prediction and model bias: 1) Can the bias be temporarily reduced and the prediction improved by perturbing the initial conditions? 2) How fast will such initial perturbations grow? To answer these questions, the authors use a realistic ocean GCM and compute temperature and salinity perturbations that reduce the model bias most efficiently during a given time interval. The authors find that to reduce this bias, especially pronounced in the upper ocean above 1000 m, initial perturbations should be imposed in the deep ocean (specifically, in the Southern Ocean). Over 14 yr, a 0.1-K perturbation in the deep ocean can induce a temperature anomaly of several kelvins in the upper ocean, partially reducing the bias.Acorollary of these results is that small initialization errors in the deep ocean can produce large errors in the upper-ocean temperature on decadal time scales, which can be interpreted as a decadal predictability barrier associated with ocean dynamics. To study the mechanisms of the perturbation growth, the authors formulate an idealized model describing temperature anomalies in the Southern Ocean. The results indicate that the strong mean meridional temperature gradient in this region enhances the sensitivity of the upper ocean to deep-ocean perturbations through nonnormal dynamics generating pronounced stationary-wave patterns.
format Article in Journal/Newspaper
author Sévellec, Florian
Fedorov, Alexey V.
spellingShingle Sévellec, Florian
Fedorov, Alexey V.
Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean
author_facet Sévellec, Florian
Fedorov, Alexey V.
author_sort Sévellec, Florian
title Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean
title_short Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean
title_full Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean
title_fullStr Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean
title_full_unstemmed Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean
title_sort model bias reduction and the limits of oceanic decadal predictability: importance of the deep ocean
publishDate 2013
url https://eprints.soton.ac.uk/354882/
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation Sévellec, Florian and Fedorov, Alexey V. (2013) Model Bias Reduction and the Limits of Oceanic Decadal Predictability: Importance of the Deep Ocean. Journal of Climate, 26 (11), 3688-3707. (doi:10.1175/JCLI-D-12-00199.1 <http://dx.doi.org/10.1175/JCLI-D-12-00199.1>).
op_doi https://doi.org/10.1175/JCLI-D-12-00199.1
container_title Journal of Climate
container_volume 26
container_issue 11
container_start_page 3688
op_container_end_page 3707
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