Comparison of principal component and cluster analysis for classifying circulation pattern sequences for the European domain

By A. Philipp. 2009

54 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f3785358beafd199357fcf00564ad82069a75f48

Citations in the corpus

• Cost733cat - A database of weather and circulation type classifications (2010, unknown): “Instead of single daily patterns, three-day-sequences are used, thus the history of the development of the final day in this sequence is included on the type definition, resulting in types of successions of maps (Philipp, 2008).”
• Classifications of Atmospheric Circulation Patterns (2008, unknown): “22 , 145 , 149 Several authors compared Pattern correlation ratio (PCR) 159 ss i = sum of squares within classes ss b = sum of squares between classes ss t = total sum of squares sd i = standard deviation within class pc i = mean pattern correlation between cases from the same class pc o = mean…”