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author Liu, Zhengyu
author2 Liu, ZY (reprint author), Univ Wisconsin, Dept Atmospher & Ocean Sci, 1225 W Dayton St, Madison, WI 53706 USA.
Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA.
Univ Wisconsin, Ctr Climat Res, Madison, WI 53706 USA.
Peking Univ, Lab Ocean Atmosphere Studies, Beijing 100871, Peoples R China.
Univ Wisconsin, Dept Atmospher & Ocean Sci, 1225 W Dayton St, Madison, WI 53706 USA.
author_facet Liu, Zhengyu
author_sort Liu, Zhengyu
collection Peking University Institutional Repository (PKU IR)
container_issue 6
container_start_page 1963
container_title Journal of Climate
container_volume 25
description The emerging interest in decadal climate prediction highlights the importance of understanding the mechanisms of decadal to interdecadal climate variability. The purpose of this paper is to provide a review of our understanding of interdecadal climate variability in the Pacific and Atlantic Oceans. In particular, the dynamics of interdecadal variability in both oceans will be discussed in a unified framework and in light of historical development. General mechanisms responsible for interdecadal variability, including the role of ocean dynamics, are reviewed first. A hierarchy of increasingly complex paradigms is used to explain variability. This hierarchy ranges from a simple red noise model to a complex stochastically driven coupled ocean atmosphere mode. The review suggests that stochastic forcing is the major driving mechanism for almost all interdecadal variability, while ocean atmosphere feedback plays a relatively minor role. Interdecadal variability can be generated independently in the tropics or extratropics, and in the Pacific or Atlantic. In the Pacific, decadal interdecadal variability is associated with changes in the wind-driven upper-ocean circulation. In the North Atlantic, some of the multidecadal variability is associated with changes in the Atlantic meridional overturning circulation (AMOC). In both the Pacific and Atlantic, the time scale of interdecadal variability seems to be determined mainly by Rossby wave propagation in the extratropics; in the Atlantic, the time scale could also be determined by the advection of the returning branch of AMOC in the Atlantic. One significant advancement of the last two decades is the recognition of the stochastic forcing as the dominant generation mechanism for almost all interdecadal variability. Finally, outstanding issues regarding the cause of interdecadal climate variability are discussed. The mechanism that determines the time scale of each interdecadal mode remains one of the key issues not understood. It is suggested that much further understanding can be gained in the future by performing specifically designed sensitivity experiments in coupled ocean atmosphere general circulation models, by further analysis of observations and cross-model comparisons, and by combining mechanistic studies with decadal prediction studies. Meteorology & Atmospheric Sciences SCI(E) EI 0 ARTICLE 6 1963-1995 25
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spelling ftpekinguniv:oai:localhost:20.500.11897/393564 2025-01-16T23:46:01+00:00 Dynamics of Interdecadal Climate Variability: A Historical Perspective Liu, Zhengyu Liu, ZY (reprint author), Univ Wisconsin, Dept Atmospher & Ocean Sci, 1225 W Dayton St, Madison, WI 53706 USA. Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA. Univ Wisconsin, Ctr Climat Res, Madison, WI 53706 USA. Peking Univ, Lab Ocean Atmosphere Studies, Beijing 100871, Peoples R China. Univ Wisconsin, Dept Atmospher & Ocean Sci, 1225 W Dayton St, Madison, WI 53706 USA. 2012 https://hdl.handle.net/20.500.11897/393564 https://doi.org/10.1175/2011JCLI3980.1 en eng journal of climate JOURNAL OF CLIMATE.2012,25,(6),1963-1995. 880748 0894-8755 http://hdl.handle.net/20.500.11897/393564 1520-0442 doi:10.1175/2011JCLI3980.1 WOS:000301620300012 SCI EI SEA-SURFACE TEMPERATURE NORTH PACIFIC-OCEAN GENERAL-CIRCULATION MODEL ATLANTIC THERMOHALINE CIRCULATION MERIDIONAL OVERTURNING CIRCULATION EQUILIBRIUM FEEDBACK ASSESSMENT NINO-SOUTHERN OSCILLATION MIDLATITUDE SST ANOMALIES MIXED BOUNDARY-CONDITIONS ENSO-LIKE VARIABILITY Journal 2012 ftpekinguniv https://doi.org/20.500.11897/393564 https://doi.org/10.1175/2011JCLI3980.1 2021-08-01T10:20:52Z The emerging interest in decadal climate prediction highlights the importance of understanding the mechanisms of decadal to interdecadal climate variability. The purpose of this paper is to provide a review of our understanding of interdecadal climate variability in the Pacific and Atlantic Oceans. In particular, the dynamics of interdecadal variability in both oceans will be discussed in a unified framework and in light of historical development. General mechanisms responsible for interdecadal variability, including the role of ocean dynamics, are reviewed first. A hierarchy of increasingly complex paradigms is used to explain variability. This hierarchy ranges from a simple red noise model to a complex stochastically driven coupled ocean atmosphere mode. The review suggests that stochastic forcing is the major driving mechanism for almost all interdecadal variability, while ocean atmosphere feedback plays a relatively minor role. Interdecadal variability can be generated independently in the tropics or extratropics, and in the Pacific or Atlantic. In the Pacific, decadal interdecadal variability is associated with changes in the wind-driven upper-ocean circulation. In the North Atlantic, some of the multidecadal variability is associated with changes in the Atlantic meridional overturning circulation (AMOC). In both the Pacific and Atlantic, the time scale of interdecadal variability seems to be determined mainly by Rossby wave propagation in the extratropics; in the Atlantic, the time scale could also be determined by the advection of the returning branch of AMOC in the Atlantic. One significant advancement of the last two decades is the recognition of the stochastic forcing as the dominant generation mechanism for almost all interdecadal variability. Finally, outstanding issues regarding the cause of interdecadal climate variability are discussed. The mechanism that determines the time scale of each interdecadal mode remains one of the key issues not understood. It is suggested that much further understanding can be gained in the future by performing specifically designed sensitivity experiments in coupled ocean atmosphere general circulation models, by further analysis of observations and cross-model comparisons, and by combining mechanistic studies with decadal prediction studies. Meteorology & Atmospheric Sciences SCI(E) EI 0 ARTICLE 6 1963-1995 25 Journal/Newspaper North Atlantic Peking University Institutional Repository (PKU IR) Pacific Journal of Climate 25 6 1963 1995
spellingShingle SEA-SURFACE TEMPERATURE
NORTH PACIFIC-OCEAN
GENERAL-CIRCULATION MODEL
ATLANTIC THERMOHALINE CIRCULATION
MERIDIONAL OVERTURNING CIRCULATION
EQUILIBRIUM FEEDBACK ASSESSMENT
NINO-SOUTHERN OSCILLATION
MIDLATITUDE SST ANOMALIES
MIXED BOUNDARY-CONDITIONS
ENSO-LIKE VARIABILITY
Liu, Zhengyu
Dynamics of Interdecadal Climate Variability: A Historical Perspective
title Dynamics of Interdecadal Climate Variability: A Historical Perspective
title_full Dynamics of Interdecadal Climate Variability: A Historical Perspective
title_fullStr Dynamics of Interdecadal Climate Variability: A Historical Perspective
title_full_unstemmed Dynamics of Interdecadal Climate Variability: A Historical Perspective
title_short Dynamics of Interdecadal Climate Variability: A Historical Perspective
title_sort dynamics of interdecadal climate variability: a historical perspective
topic SEA-SURFACE TEMPERATURE
NORTH PACIFIC-OCEAN
GENERAL-CIRCULATION MODEL
ATLANTIC THERMOHALINE CIRCULATION
MERIDIONAL OVERTURNING CIRCULATION
EQUILIBRIUM FEEDBACK ASSESSMENT
NINO-SOUTHERN OSCILLATION
MIDLATITUDE SST ANOMALIES
MIXED BOUNDARY-CONDITIONS
ENSO-LIKE VARIABILITY
topic_facet SEA-SURFACE TEMPERATURE
NORTH PACIFIC-OCEAN
GENERAL-CIRCULATION MODEL
ATLANTIC THERMOHALINE CIRCULATION
MERIDIONAL OVERTURNING CIRCULATION
EQUILIBRIUM FEEDBACK ASSESSMENT
NINO-SOUTHERN OSCILLATION
MIDLATITUDE SST ANOMALIES
MIXED BOUNDARY-CONDITIONS
ENSO-LIKE VARIABILITY
url https://hdl.handle.net/20.500.11897/393564
https://doi.org/10.1175/2011JCLI3980.1