Relationships between southeast australian temperature anomalies and large-scale climate drivers

Fierro, AO; Leslie, LM

Relationships between southeast australian temperature anomalies and large-scale climate drivers

Fierro, AO Leslie, LM

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Publication Type:: Journal Article
Citation:: Journal of Climate, 2014, 27 (4), pp. 1395 - 1412
Issue Date:: 2014-02-01

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Field	Value	Language
dc.contributor.author	Fierro, AO	en_US
dc.contributor.author	Leslie, LM https://orcid.org/0000-0001-5616-2330	en_US
dc.date.issued	2014-02-01	en_US
dc.identifier.citation	Journal of Climate, 2014, 27 (4), pp. 1395 - 1412	en_US
dc.identifier.issn	0894-8755	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119031
dc.description.abstract	Over the past century, particularly after the 1960s, observations of mean maximum temperatures reveal an increasing trend over the southeastern quadrant of the Australian continent. Correlation analysis of seasonally averaged mean maximum temperature anomaly data for the period 1958-2012 is carried out for a representative group of 10 stations in southeast Australia (SEAUS). For the warm season (November- April) there is a positive relationship with the El Niño-Southern Oscillation (ENSO) and the Pacific decadal oscillation (PDO) and an inverse relationship with the Antarctic Oscillation (AAO) for most stations. For the cool season (May-October), most stations exhibit similar relationships with the AAO, positive correlations with the dipolemode index (DMI), andmarginal inverse relationships with the SouthernOscillation index (SOI) and the PDO. However, for both seasons, the blocking index (BI, as defined by M. Pook and T. Gibson) in the Tasman Sea (160°E) clearly is the dominant climatemode affectingmaximumtemperature variability in SEAUS with negative correlations in the range from r520.30 to 20.65. These strong negative correlations arise from the usual definition ofBI,which is positivewhen blocking high pressure systems occur over the Tasman Sea (near 45°S, 160°E), favoring the advection of modified cooler, higher-latitude maritime air over SEAUS. A point-by-point correlation with global sea surface temperatures (SSTs), principal component analysis, and wavelet power spectra support the relationships with ENSO and DMI. Notably, the analysis reveals that the maximum temperature variability of one group of stations is explained primarily by local factors (warmer near-coastal SSTs), rather than teleconnections with large-scale drivers. © 2014 American Meteorological Society.	en_US
dc.relation.ispartof	Journal of Climate	en_US
dc.relation.isbasedon	10.1175/JCLI-D-13-00229.1	en_US
dc.subject.classification	Meteorology & Atmospheric Sciences	en_US
dc.title	Relationships between southeast australian temperature anomalies and large-scale climate drivers	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	27	en_US
utslib.for	0909 Geomatic Engineering	en_US
utslib.for	0401 Atmospheric Sciences	en_US
utslib.for	0405 Oceanography	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	27	en_US

Abstract:

Over the past century, particularly after the 1960s, observations of mean maximum temperatures reveal an increasing trend over the southeastern quadrant of the Australian continent. Correlation analysis of seasonally averaged mean maximum temperature anomaly data for the period 1958-2012 is carried out for a representative group of 10 stations in southeast Australia (SEAUS). For the warm season (November- April) there is a positive relationship with the El Niño-Southern Oscillation (ENSO) and the Pacific decadal oscillation (PDO) and an inverse relationship with the Antarctic Oscillation (AAO) for most stations. For the cool season (May-October), most stations exhibit similar relationships with the AAO, positive correlations with the dipolemode index (DMI), andmarginal inverse relationships with the SouthernOscillation index (SOI) and the PDO. However, for both seasons, the blocking index (BI, as defined by M. Pook and T. Gibson) in the Tasman Sea (160°E) clearly is the dominant climatemode affectingmaximumtemperature variability in SEAUS with negative correlations in the range from r520.30 to 20.65. These strong negative correlations arise from the usual definition ofBI,which is positivewhen blocking high pressure systems occur over the Tasman Sea (near 45°S, 160°E), favoring the advection of modified cooler, higher-latitude maritime air over SEAUS. A point-by-point correlation with global sea surface temperatures (SSTs), principal component analysis, and wavelet power spectra support the relationships with ENSO and DMI. Notably, the analysis reveals that the maximum temperature variability of one group of stations is explained primarily by local factors (warmer near-coastal SSTs), rather than teleconnections with large-scale drivers. © 2014 American Meteorological Society.

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http://hdl.handle.net/10453/119031