Dataset of gridded time series of monthly air temperature (min, max, mean) and atmospheric precipitation for Ukraine covering the period of 1946–2020

Osadchyi, Volodymyr; Skrynyk, Olesya; Palamarchuk, Ludmyla; Skrynyk, Oleg; Osypov, Valeriy; Oshurok, Dmytro; Sidenko, Vladyslav

doi:10.1016/j.dib.2022.108553

Cited by 7 publications

(7 citation statements)

References 6 publications

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“…The number of breakpoints detected with different Climatol parameters compared to breakpoints found in the previous studies (Osadchyi et al, 2017;Osadchyi et al, 2022;Skrynyk et al, 2018) 4. In addition, the QC procedure revealed a large number (7305) of errors/suspects in precipitation time series for one of the stations (these cases are not included in Table 4).…”

Section: Quality Control Resultsmentioning

confidence: 88%

“…In order to define the optimal values for the tunable Climatol parameters, we performed sensitivity tests on the monthly scale and compared the results with the previously published papers (Osadchyi et al, 2017; Osadchyi et al, 2022; Skrynyk et al, 2018) and the metadata collected from historical descriptions of the considered stations. For each climate variable under study, three Climatol runs were performed with different values of the snht1 and snht2 parameters, which were gradually reduced by 50% from test to test.…”

Section: Resultsmentioning

confidence: 99%

“…Number of studies on the national level were performed in Ukraine to carry out QC and detection and adjustment of inhomogeneities in time series of the essential climate variables (ECV) such as precipitation and air temperature (Osadchyi et al, 2017;Osadchyi et al, 2022;Skrynyk et al, 2018;Skrynyk et al, 2019). However, only monthly data were analysed by means of the HOMER software.…”

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confidence: 99%

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

Skrynyk

Sidenko

Aguilar

et al. 2023

Intl Journal of Climatology

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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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Section: Quality Control Resultsmentioning

confidence: 88%

Section: Resultsmentioning

confidence: 99%

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confidence: 99%

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

Skrynyk

Sidenko

Aguilar

et al. 2023

Intl Journal of Climatology

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“…This dataset with a high spatial resolution of 0.1° × 0.1° was developed in the Ukrainian Hydrometeorological Institute and it can be found in the Data Repository at https://uhmi.org.ua/eng/data_repo/month/ (accessed January 20, 2023). Details of the methods used and validation of the data can be found at Osadchyi et al (2022).…”

Section: Study Area and Datamentioning

confidence: 99%

Long‐term variability and trends of meteorological droughts in Ukraine

Semenova,

Vicente‐Serrano

2024

Intl Journal of Climatology

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The purpose of this research is to identify changes in the spatiotemporal distribution and severity of meteorological droughts in Ukraine between 1946 and 2020. In order to determine the role of precipitation and atmospheric evaporative demand on drought severity, two drought indices were applied for comparative analysis: the standardized precipitation index (SPI) and the standardized evaporation precipitation index (SPEI). Both indices were calculated on 3‐ and 12‐month timescales. The gridded dataset of monthly air temperature and atmospheric precipitation for Ukraine with high spatial resolution (0.1° × 0.1°), developed in the Ukrainian Hydrometeorological Institute, was used. Results of time series analysis of drought indices showed at least 20 episodes, in which more than 25% of the territory of Ukraine was affected by drought of varying intensity. Trends show an increase in drought severity determined mostly by a strong observed increase in the atmospheric evaporative demand. Tendencies towards an increase in the duration and intensity of droughts were observed mainly in the southwestern, central and northern regions of Ukraine. The main cause of the increase was droughts in spring and summer. The temporal analysis of the spatial distribution of areas affected by drought during the identified main drought episodes showed different patterns in drought propagation across the territory of Ukraine.

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“…Almost every second year (46%) is characterized by a lack of moisture during the optimal sowing period, which causes the problem of achieving timely and healthy germination. For seven years out of forty-four, there has been a combination of spring and summer drought, which undermined all efforts to obtain an economically valuable crop (Pichura et al 2017, Makarova et al 2021, Osadchyi et al 2022). In the southern Ukraine, years with dry conditions during the summer growing season are prevalent (60%).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Effectiveness of Biological Plant Protection on Sunflower Productivity Under Different Cenosis Density in the Non-Irrigated Conditions of the Steppe Zone

Domaratskiy,

Kovalenko,

Kachanova

et al. 2023

Ecol. Eng. Environ. Technol.

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The purpose of the article was to determine how foliar treatments of plants with environmentally friendly combined-action substances affect the yield of new sunflower hybrids under non-irrigated conditions of the Ukrainian Steppe zone. The field experiments were conducted in 2021-2022 on the experimental field of the Mykolaiv State Agricultural Research Station of the Institute of Climate-Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine under non-irrigated conditions on southern chernozem. The humus content in the arable soil layer was 2.90%, the depth of the humus layer was 0-30 cm, and the transitional layer was 30-60 cm. The research was conducted by establishing a three-factor field experiment, where factor A was sunflower hybrids of the Plant Production Institute named after V.Ya. Yuriev of National Academy of Agrarian Sciences of Ukraine -Vyrii, Yarylo, Blysk, Yaskravy and Epikur; factor B -different plant densities (30, 40 and 50 thousand/ha) and factor C -treatment of vegetative plants in the phase of budding with substances of biological origin (Helafit Combi, Organic Balance and Biocomplex BTU). The field experiment was located on the winter wheat forecrop. Fertilizers were applied during the main cultivation at a dose of N30P30K30. Sowing was carried out with a row spacing of 70 cm in the last decade of April. Yield accounting and the evaluation of the crop structure were carried out by manual threshing of plants selected from the accounting area of the test plots and recalculation by 8% seed moisture. From the results of observations, it was found that the foliar treatments of sunflowers with environmentally friendly combined-action substances contributed to the prolongation of the interphase periods in the second half of the growing season of all studied hybrids. Treatment of plants with environmentally friendly substances helped to reduce the level of damage to all hybrids by pathogenic microflora, the highest fungicidal efficacy was observed in Helafit Combi and Organic Balance. All hybrids formed the highest yields at a density of 40 thousand units/ha. Dense plantings up to 50 thousand units/ha were inferior in yield to the ones with a planting density of 40 thousand units/ha and were almost at the same level as the ones with 30 thousand units/ha. Hybrids Yarylo, Epikur and Yaskravy were significantly inferior in productivity; however, their foliar treatments also had a similar tendency to increase their productivity.

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Dataset of gridded time series of monthly air temperature (min, max, mean) and atmospheric precipitation for Ukraine covering the period of 1946–2020

Cited by 7 publications

References 6 publications

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

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

Long‐term variability and trends of meteorological droughts in Ukraine

Analysis of the Effectiveness of Biological Plant Protection on Sunflower Productivity Under Different Cenosis Density in the Non-Irrigated Conditions of the Steppe Zone

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