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Separation of the time periods with dominant climatologic parameters by multivariate statistical analysis

Authors

  • Mira Paskota,

    1. Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia
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  • Nedeljko Todorović,

    1. Hydrometeorological Service of Serbia, Weather Forecast Department, Kneza Višeslava 66, 11030 Belgrade, Serbia
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  • Dragana Vujović

    Corresponding author
    1. Department of Meteorology, Faculty of Physics, University of Belgrade, Dobračina 16, 11000 Belgrade, Serbia
    • D. Vujović, Department of Meteorology, Faculty of Physics, University of Belgrade, Dobračina 16, 11000 Belgrade, Serbia.
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Abstract

Climatology is one of the areas that rely on collecting huge quantities of data. The longer a time period is observed, the better; the more parameters are included, the better. But the human mind cannot easily extract useful information from the abundance of data; thus, many valuable facts may be overlooked. Having that in mind, the authors of this paper have focused on the data condensation with the goal of gathering more information about the underlying trends of the main climatologic parameters change to show climatic variability. The data from the Belgrade Meteorological Observatory are analysed using a number of different methods of multivariate statistical analysis. Separation of the years and time periods with similar weather pattern characteristics was successful and indicates that there is a trend of temperature increase, as well as a trend of the temperature range decrease. Copyright © 2012 Royal Meteorological Society

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