4.6 Article

Data quality control and homogenization of daily precipitation and air temperature (mean, max and min) time series of Ukraine

期刊

INTERNATIONAL JOURNAL OF CLIMATOLOGY
卷 43, 期 9, 页码 4166-4182

出版社

WILEY
DOI: 10.1002/joc.8080

关键词

Climatol; daily air temperature; daily atmospheric precipitation; homogenization; INQC; quality control; time series; Ukraine

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This paper presents the results of quality control and homogenization procedures applied to long time series of atmospheric precipitation and air temperature in Ukraine. The results show that the quality assurance tests revealed a relatively small number of errors and suspicious values, and the homogenization software detected break points in the time series. The verification demonstrated that the procedures effectively detected and removed errors and breaks, resulting in more consistent temperature and precipitation fields.
In this paper we present the results of quality control and homogenization procedures applied to long time series of daily atmospheric precipitation sums (Rr) and daily mean (Tm), maximum (Tx) and minimum (Tn) air temperature collected in Ukraine. The daily data from 178 meteorological stations covering the period of 1946-2020 were analysed. In order to perform a thorough quality assurance check, we used the R package INQC, while the Climatol homogenization software was used to detect and remove breaks from the time series. The INQC quality assurance tests revealed a relatively small number of erroneous records (around 0.01% for each variable) and suspicious values (up to 0.09%). The application of Climatol resulted in 195, 296, 355 and 359 break points, detected for Rr, Tm, Tx and Tn, respectively. These quantities coincide roughly with the results of the HOMER homogenization procedure applied to monthly time series for the same stations and almost the same period (performed in the previous works of the authors). To verify the homogenization results, statistical comparison of the raw and homogenized time series was performed. The verification demonstrated that the quality control and homogenization procedures detected and removed errors and breaks very well, and air temperature and precipitation fields after the homogenization are more self-consistent compared to the original raw data.

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