Comparison of principal component and cluster analysis for classifying circulation pattern sequences for the European domain |
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| Authors: | A Philipp |
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| Institution: | 1. Institute for Geography, University of Augsburg, Universit?tsstr. 10, 86159, Augsburg, Germany
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| Abstract: | The study examines two methods for classification of daily pressure-pattern sequences (extended PCA and extended cluster analysis) and evaluates whether sequence classification is more suitable to describe surface air-temperature conditions in Europe. For this purpose, sequences of daily sea-level pressure fields are classified for each month of the year using a wide range of class numbers (2–40) and sequence lengths from 1 to 6 days. In each case, the classification is used to reconstruct temperature variability in 5°×5° grid-boxes throughout Europe for the period 1850–2003 in order to compare the circulation type based reconstruction to monthly observations for skill estimation. Results show that extended PCA leads to more dynamic pattern sequences for subordinated classes, but also that it is limited in skill, because classes of very low frequencies are generated. In contrast, extended cluster analysis offers higher skill levels for temperature downscaling. However, both methods can benefit from using sequences instead of single days for classification, especially for continental regions. |
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