2010
DOI: 10.1016/j.pce.2010.01.001
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Evaluation and comparison of circulation type classifications for the European domain

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Cited by 100 publications
(125 citation statements)
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References 33 publications
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“…Interestingly, several extensive classification studies have found that no one single classification technique produces the best classification for all applications (Huth et al 2008;Beck and Philipp 2010;Philipp et al 2014). As such, we used a two-stage clustering technique comprising a hierarchical clustering scheme followed by k-means as this technique has been widely used for atmospheric circulation classification defined by wind fields (e.g.…”
Section: Classification Methodsmentioning
confidence: 99%
“…Interestingly, several extensive classification studies have found that no one single classification technique produces the best classification for all applications (Huth et al 2008;Beck and Philipp 2010;Philipp et al 2014). As such, we used a two-stage clustering technique comprising a hierarchical clustering scheme followed by k-means as this technique has been widely used for atmospheric circulation classification defined by wind fields (e.g.…”
Section: Classification Methodsmentioning
confidence: 99%
“…Alternatively, subjective vs. objective procedures or even hybrid methods have been established . For additional information on different CWTs classification procedures and applications throughout Europe please see also Huth et al (2008); Beck and Philipp (2010) and Philipp et al (2010).…”
Section: Circulation Weather Type Classificationmentioning
confidence: 99%
“…CWTs are a fairly simple method to describe atmospheric circulation variability (Huth et al, 2008;Beck and Philipp, 2010), providing a discrete characterization of the atmospheric conditions for a specific given region. These weather patterns or CWTs result from the automated examination of synoptic weather data [e.g., sea level pressure (SLP) or geopotential height at 500 hPa (HGT500)], usually on regular gridded fields (Huth et al, 2008;Beck and Philipp, 2010). Most classification procedures are based on the application of statistical selection rules or on the determination of physical parameters related with the prevailing atmospheric circulation pattern (Yarnal, 1993;Beck and Philipp, 2010).…”
Section: Introductionmentioning
confidence: 99%
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“…The ability of the SANDRA algorithm to classify circulation patterns for meteorological and climatological studies has been shown before for different parts of the world (Philipp et al, 2007;Huth et al, 2008;Beck and Philipp, 2010;Casado et al, 2010;Souverijns et al, 2016). Next to the choice of the classification algorithm, it is also necessary to define the total number of circulation patterns that covers the full climatology over Dronning Maud Land.…”
mentioning
confidence: 99%