Regions of significant influence on unforced global mean surface air temperature variability in climate models

We document the geographic regions where local variability is most associated with unforced global mean surface air temperature (GMT) variability in Coupled Model Intercomparison Project Phase 5 coupled global climate models (GCMs) at both the subdecadal and interdecadal timescales. For this purpose...

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Main Author: Brown, PT, W. Li, S Xie
Format: Article in Journal/Newspaper
Language:English
Published: Blackwell Publishing Ltd 2015
Subjects:
Online Access:https://hdl.handle.net/10161/9564
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spelling ftdukeunivdsp:oai:localhost:10161/9564 2023-11-12T04:26:37+01:00 Regions of significant influence on unforced global mean surface air temperature variability in climate models Brown, PT, W. Li, S Xie 2015 application/pdf https://hdl.handle.net/10161/9564 eng eng Blackwell Publishing Ltd Journal of Geophysical Research D: Atmospheres 10.1002/2014JD022576 2169-897X https://hdl.handle.net/10161/9564 2169-8996 Atlantic Multidecadal Oscillation Global mean temperature Hiatus Interdecadal Pacific Oscillation Internal variability Unforced variability Journal article 2015 ftdukeunivdsp 2023-10-17T09:44:37Z We document the geographic regions where local variability is most associated with unforced global mean surface air temperature (GMT) variability in Coupled Model Intercomparison Project Phase 5 coupled global climate models (GCMs) at both the subdecadal and interdecadal timescales. For this purpose, Regions of Significant Influence on GMT are defined as locations that have a statistically significant correlation between local surface air temperature (SAT) and GMT (with a regression slope greater than 1), and where local SAT variation leads GMT variation in time. In both GCMs and observations, subdecadal timescale GMT variability is most associated with SAT variation over the eastern equatorial Pacific. At the interdecadal timescale, GMT variability is also linked with SAT variation over the Pacific in many GCMs, but the particular spatial patterns are GCM dependent, and several GCMs indicate a primary association between GMT and SAT over the Southern Ocean. We find that it is difficult to validate GCM behavior at the interdecadal timescale because the pattern derived from observations is highly depended on the method used to remove the forced variability from the record. The magnitude of observed GMT variability is near the ensemble median at the subdecadal timescale but well above the median at the interdecadal timescale. GCMs with a stronger subdecadal relationship between GMT and SAT over the Pacific tend to have more variable subdecadal GMT while GCMs with a stronger interdecadal relationship between GMT and SAT over parts of the Southern Ocean tend to have more variable GMT. Article in Journal/Newspaper Southern Ocean Duke University Libraries: DukeSpace Pacific Southern Ocean
institution Open Polar
collection Duke University Libraries: DukeSpace
op_collection_id ftdukeunivdsp
language English
topic Atlantic Multidecadal Oscillation
Global mean temperature
Hiatus
Interdecadal Pacific Oscillation
Internal variability
Unforced variability
spellingShingle Atlantic Multidecadal Oscillation
Global mean temperature
Hiatus
Interdecadal Pacific Oscillation
Internal variability
Unforced variability
Brown, PT, W. Li, S Xie
Regions of significant influence on unforced global mean surface air temperature variability in climate models
topic_facet Atlantic Multidecadal Oscillation
Global mean temperature
Hiatus
Interdecadal Pacific Oscillation
Internal variability
Unforced variability
description We document the geographic regions where local variability is most associated with unforced global mean surface air temperature (GMT) variability in Coupled Model Intercomparison Project Phase 5 coupled global climate models (GCMs) at both the subdecadal and interdecadal timescales. For this purpose, Regions of Significant Influence on GMT are defined as locations that have a statistically significant correlation between local surface air temperature (SAT) and GMT (with a regression slope greater than 1), and where local SAT variation leads GMT variation in time. In both GCMs and observations, subdecadal timescale GMT variability is most associated with SAT variation over the eastern equatorial Pacific. At the interdecadal timescale, GMT variability is also linked with SAT variation over the Pacific in many GCMs, but the particular spatial patterns are GCM dependent, and several GCMs indicate a primary association between GMT and SAT over the Southern Ocean. We find that it is difficult to validate GCM behavior at the interdecadal timescale because the pattern derived from observations is highly depended on the method used to remove the forced variability from the record. The magnitude of observed GMT variability is near the ensemble median at the subdecadal timescale but well above the median at the interdecadal timescale. GCMs with a stronger subdecadal relationship between GMT and SAT over the Pacific tend to have more variable subdecadal GMT while GCMs with a stronger interdecadal relationship between GMT and SAT over parts of the Southern Ocean tend to have more variable GMT.
format Article in Journal/Newspaper
author Brown, PT, W. Li, S Xie
author_facet Brown, PT, W. Li, S Xie
author_sort Brown, PT, W. Li, S Xie
title Regions of significant influence on unforced global mean surface air temperature variability in climate models
title_short Regions of significant influence on unforced global mean surface air temperature variability in climate models
title_full Regions of significant influence on unforced global mean surface air temperature variability in climate models
title_fullStr Regions of significant influence on unforced global mean surface air temperature variability in climate models
title_full_unstemmed Regions of significant influence on unforced global mean surface air temperature variability in climate models
title_sort regions of significant influence on unforced global mean surface air temperature variability in climate models
publisher Blackwell Publishing Ltd
publishDate 2015
url https://hdl.handle.net/10161/9564
geographic Pacific
Southern Ocean
geographic_facet Pacific
Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_relation Journal of Geophysical Research D: Atmospheres
10.1002/2014JD022576
2169-897X
https://hdl.handle.net/10161/9564
2169-8996
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