TITLE:
Spatial and Temporal Variations of Climate in Europe
AUTHORS:
Vladimir Kossobokov, Jean-Louis Le Mouël, Claude Allègre
KEYWORDS:
Daily Air Temperature; Climate; Classification; Empirical Distribution Function; Entropy; Cluster Analysis
JOURNAL NAME:
Atmospheric and Climate Sciences,
Vol.2 No.4,
November
2,
2012
ABSTRACT: Temperature series of the original individual measurements of the minimum and maximum daily temperatures from 24 stations located in different regions of Europe are considered with the objective of studying the stability or the variability of the “climate” in time and space. The patterns of the temperature statistics, the shapes of probability density functions, in particular, at different places and times allow comparisons based on the Kolmogorov-Smirnov test, the Shannon entropy, and cluster analysis, used separately or in combination for the purposes of quantitative climate classification.