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    Relationships between Southeast Australian Temperature Anomalies and Large-Scale Climate Drivers

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 004::page 1395
    Author:
    Fierro, Alexandre O.
    ,
    Leslie, Lance M.
    DOI: 10.1175/JCLI-D-13-00229.1
    Publisher: American Meteorological Society
    Abstract: ver 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 dipole mode index (DMI), and marginal inverse relationships with the Southern Oscillation 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 climate mode affecting maximum temperature variability in SEAUS with negative correlations in the range from r = ?0.30 to ?0.65. These strong negative correlations arise from the usual definition of BI, which is positive when 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.
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      Relationships between Southeast Australian Temperature Anomalies and Large-Scale Climate Drivers

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    contributor authorFierro, Alexandre O.
    contributor authorLeslie, Lance M.
    date accessioned2017-06-09T17:08:34Z
    date available2017-06-09T17:08:34Z
    date copyright2014/02/01
    date issued2013
    identifier issn0894-8755
    identifier otherams-80046.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222895
    description abstractver 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 dipole mode index (DMI), and marginal inverse relationships with the Southern Oscillation 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 climate mode affecting maximum temperature variability in SEAUS with negative correlations in the range from r = ?0.30 to ?0.65. These strong negative correlations arise from the usual definition of BI, which is positive when 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.
    publisherAmerican Meteorological Society
    titleRelationships between Southeast Australian Temperature Anomalies and Large-Scale Climate Drivers
    typeJournal Paper
    journal volume27
    journal issue4
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-13-00229.1
    journal fristpage1395
    journal lastpage1412
    treeJournal of Climate:;2013:;volume( 027 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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