Evolution of long-term trends and variability in air temperatures of Kazakhstan for the period 1963-2020

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dc.contributor.authorBayer-Altin, Turkan
dc.contributor.authorSadykova, Damezhan
dc.contributor.authorTurkes, Murat
dc.date.accessioned2024-11-07T13:32:29Z
dc.date.available2024-11-07T13:32:29Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe annual, seasonal, and monthly trends of air temperatures were analyzed for thirteen urban and five rural meteorological stations in Kazakhstan for the 1963-2020 period. The non-parametric Mann-Kendall (M-K) rank correlation and Sen's slope estimator methods and the parametric least-squares linear regression (LSLR) were used to determine whether there were positive or negative statistically significant trends in mean, average maximum, and minimum air temperature time series along with diurnal temperature ranges (DTRs), and temperature differences between five large and small cities. In addition, Kazakhstan's annual and seasonal air temperature series were analyzed in terms of autocorrelation (serial correlation) coefficients. Coefficients of variations indicated that mean annual temperature variability is the highest in northern cities. Results of the M-K trend test indicated that the highest and lowest increases in the mean air temperatures were observed in spring and autumn, respectively. The magnitudes of the significant increasing trends in annual air temperature ranged between 0.23 & DEG;C/decade at Karagandy and 0.54 & DEG;C/decade at Kyzylorda. Annual and seasonal diurnal temperature ranges (DTRs) reveal insignificantly decreasing and increasing trends at most of the stations characterized by urbanization. According to the results of both M-K and LSLR tests, annual and winter air temperature differences of some station pairs tend to significantly increase, which may mean that the differences in the calculated temperature range between large and small cities might have widened significantly. However, significance test for the calculated autocorrelation coefficients of the annual and seasonal air temperature data showed that most of the series clearly appear as a low-frequency variability on the significantly increased long-term averages.
dc.description.sponsorshipThe authors would like to thank the National Hydrometeorological Service of Kazakhstan for providing the monthly temperature time series data for this study. The authors would also like to thank the anonymous reviewers for all their valuable and very helpf
dc.description.sponsorshipThe authors would like to thank the National Hydrometeorological Service of Kazakhstan for providing the monthly temperature time series data for this study. The authors would also like to thank the anonymous reviewers for all their valuable and very helpful revising and improving of our paper.
dc.identifier.doi10.1007/s00704-023-04650-7
dc.identifier.endpage566
dc.identifier.issn0177-798X
dc.identifier.issn1434-4483
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85172918212
dc.identifier.scopusqualityQ2
dc.identifier.startpage541
dc.identifier.urihttps://doi.org/10.1007/s00704-023-04650-7
dc.identifier.urihttps://hdl.handle.net/11480/15447
dc.identifier.volume155
dc.identifier.wosWOS:001072768900001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Wien
dc.relation.ispartofTheoretical and Applied Climatology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectUrban Heat-Island
dc.subjectArid Central-Asia
dc.subjectClimate-Change
dc.subjectTien-Shan
dc.subjectPrecipitation Climatology
dc.subjectPatterns
dc.subjectUrbanization
dc.subjectSimulation
dc.subjectImpacts
dc.subjectDrought
dc.titleEvolution of long-term trends and variability in air temperatures of Kazakhstan for the period 1963-2020
dc.typeArticle

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