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Quality control and homogenization of monthly extreme air temperature of Ukraine
Author(s) -
Skrynyk Oleg,
Aguilar Enric,
Skrynyk Olesya,
Sidenko Vladyslav,
Boichuk Dmytro,
Osadchyi Volodymyr
Publication year - 2018
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.5934
Subject(s) - homogenization (climate) , amplitude , homogeneous , air temperature , environmental science , climatology , atmospheric temperature range , climate change , metadata , mathematics , meteorology , geography , geology , physics , computer science , biodiversity , ecology , biology , oceanography , quantum mechanics , combinatorics , operating system
Digital databases of monthly means of daily extreme, minimum (Tn) and maximum (Tx) air temperature collected in Ukraine were created. The databases contain temperature records of 371/340 (Tn/Tx) climatological stations which recorded data on the territory of Ukraine anytime during 1881–2015. The significant part of the data sets (~48/47%) was obtained after conducting a data rescue process, recovering historical paper records. Due to a great deal of missing data during World War I and II, homogenization was possible to perform only for 178 time series covering the period of 1946–2015. A homogenization procedure, conducted by means of the HOMER software, revealed 323 break points for minimum temperature (~1.8 breaks per station) and 310 for maximum temperature (~1.7 breaks per station). Approximately 37/33% (Tn/Tx) of the breaks can be explained by metadata. Shift amplitudes in Tn time series ranged between −1.18 and 1.71 °C, while for maximum temperature the range was slightly less from −0.99 to 1.15 °C. For both temperatures, mean values of shift amplitudes were near zero (−0.04/−0.05 °C). To validate the homogenization results, several statistical procedures were performed to compare inhomogeneous and homogeneous time series. The conducted statistical calculations provide the proofs that inhomogeneity of the Ukrainian extreme air temperature data should be taken into account when analysing regional climate change and variability.