Relationships between Southeast Australian Temperature Anomalies and Large-Scale Climate DriversSource: Journal of Climate:;2013:;volume( 027 ):;issue: 004::page 1395DOI: 10.1175/JCLI-D-13-00229.1Publisher: 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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contributor author | Fierro, Alexandre O. | |
contributor author | Leslie, Lance M. | |
date accessioned | 2017-06-09T17:08:34Z | |
date available | 2017-06-09T17:08:34Z | |
date copyright | 2014/02/01 | |
date issued | 2013 | |
identifier issn | 0894-8755 | |
identifier other | ams-80046.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4222895 | |
description 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. | |
publisher | American Meteorological Society | |
title | Relationships between Southeast Australian Temperature Anomalies and Large-Scale Climate Drivers | |
type | Journal Paper | |
journal volume | 27 | |
journal issue | 4 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-13-00229.1 | |
journal fristpage | 1395 | |
journal lastpage | 1412 | |
tree | Journal of Climate:;2013:;volume( 027 ):;issue: 004 | |
contenttype | Fulltext |