Premium
Separation of the time periods with dominant climatologic parameters by multivariate statistical analysis
Author(s) -
Paskota Mira,
Todorović Nedeljko,
Vujović Dragana
Publication year - 2012
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.3453
Subject(s) - environmental science , climatology , multivariate statistics , separation (statistics) , meteorology , range (aeronautics) , multivariate analysis , statistical analysis , trend analysis , statistics , geography , mathematics , geology , materials science , composite material
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