2024. december 14. szombat
IDŐJÁRÁS - angol nyelvű folyóirat

Vol. 128, No. 2 * Pages 143–286 * April - June 2024


Journal of HungaroMet Hungarian Meteorological Service

Special issue:
11th Seminar for Homogenization and Quality Control in Climatological Databases and 6th Interpolation Conference jointly organized with the 14th EUMETNET Data Management Workshop

Guest Editor: Mónika Lakatos

letöltés [pdf: 22872 KB]
Annual and seasonal ANOVA and trend analysis of sub-daily temperature databases in Hungary
Zsófia Barna and Beatrix Izsák
DOI:10.28974/idojaras.2024.2.7 (pp. 251–266)
 PDF (5535 KB)   |   Abstract

Commonly studying climate is gaining more and more space thanks to the expansion of the tools of statistical climatology and the development of the informatical background. Trend analyses of annual and seasonal mean temperature values clearly show that the Hungarian values are mostly in line with the global trend, and in some cases exceed it. Since a sufficient number of measurements are only available from the 1970s, we used hourly temperature values (03 UTC, 09 UTC, 15 UTC, 21 UTC) of the period 1971–2020 for station data series in Hungary for the trend analysis. In order to make the examined datasets sufficiently representative, we homogenized the station data series, filled in data gaps, and performed quality control using the MASH software. To ensure spatial representativeness, we interpolated the homogenized station data onto a dense, regular grid network with the MISH system. In addition, we used the ANOVA method to examine the expected values, standard deviations assigned to the hourly values, and we analyzed on maps how the values within the day changed in each region over 50 years.


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