2011
DOI: 10.1002/joc.2373
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On two different objective procedures for classifying synoptic weather types over east Australia

Abstract: Synoptic weather typing depends on the method and its implementation. This paper demonstrates the utility of a 2-phase batch self-organising map procedure (CP2) in comparison with a procedure (CP1) consisting of T-mode principal component analysis followed by convergent K-means clustering, for classifying the synoptic weather types over east Australia. Four classifications were obtained for the 52-year NCEP/NCAR dataset, one from CP1 and three from CP2. These classifications were examined in terms of grouping … Show more

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Cited by 34 publications
(55 citation statements)
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References 65 publications
(102 reference statements)
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“…In this study, a synoptic type classification was derived through a two-phase batch SOM classification procedure (CP2) detailed in Jiang et al (2012Jiang et al ( , 2014. The SOM (Kohonen, 2001) is an unsupervised method for data classification and visualisation.…”
Section: Self-organising Map (Som) Classificationmentioning
confidence: 99%
“…In this study, a synoptic type classification was derived through a two-phase batch SOM classification procedure (CP2) detailed in Jiang et al (2012Jiang et al ( , 2014. The SOM (Kohonen, 2001) is an unsupervised method for data classification and visualisation.…”
Section: Self-organising Map (Som) Classificationmentioning
confidence: 99%
“…Various circulation classifications for other regions have provided additional insight into their regional climate. Jiang et al (2012) found that daily synoptic circulation types over east Australia featuring easterly or westerly troughs were positively correlated with the Southern Oscillation Index (SOI) and that some synoptic types associated with an east-west trough declined in annual frequency from the 1970s to 1995. Alexander et al (2010) classified daily winter (JJA) mean sea level pressure (MSLP) over Australia for the 1907-2006 period into twenty synoptic patterns and found that patterns characterized by a marked high pressure across continental Australia decreased in frequency and that their variability was linked to the ENSO.…”
Section: Introductionmentioning
confidence: 99%
“…Regarding ANN, they are used in the modalities of self-organizing map (SOM), multi-layer perceptron (MLP) and neuro-fuzzy. See for instance, Badr et al (2014), DeOliveira et al (2009), Hewitson and Crane (2002), Jiang et al (2012), Kisi and Shiri (2014), Robinson et al (2013), and Shank et al (2008). Cavazos (1999) applies SOM to the study of extreme precipitation in Northeastern Mexico.…”
Section: Application Of Machine-learning Algorithms To Climatology Anmentioning
confidence: 99%