Development and comparison of circulation type classifications using the COST 733 dataset and software
Abstrakt
In order to examine correspondence between different methods for circulation type classification, a dataset of classification catalogs for 12 different European regions has been created using a specially developed software package. Twenty-seven basic automatic classification methods have been applied in several variants to different input datasets describing atmospheric circulation.
Together with six manual classifications a total of 33 methods are available for intercomparison. Pattern correlation, frequency time-series correlation and the adjusted Rand index have been used for comparison.
Highly significant correspondence has been detected only for two clustering techniques while the remaining classification methods show surprisingly low similarity. A Monte-Carlo test with 1000 classifications of randomly defined types even shows that most of the methods are not more similar among each other than any arbitrarily chosen types.