ETCCDI INDICES IN THE ODESSA REGION BASED ON ERA5-LAND REANALYSIS AND STATION OBSERVATIONS: TRENDS AND VALIDATION FOR 1991–2020

Keywords: ERA5-Land reanalysis, ETCCDI indices, precipitation extremes, Mann-Kendall trend, Northwestern Black Sea region, climate normal 1991–2020, heavy precipitation, regional climate change

Abstract

Changes in the precipitation extremes regime in the North-Western Black Sea region are investigated based on ten ETCCDI (Expert Team on Climate Change Detection and Indices) indices derived from the ERA5-Land reanalysis (spatial resolution 0,1°) for the standard climate normal period 1991–2020. Temporal trends are assessed using the non-parametric Mann-Kendall test with trend magnitude estimated by Sen's slope estimator. Spatial analysis is performed for the ERA5-Land grid within the domain 46,0–47,5°N, 30,0–31,5°E; seasonal analysis is conducted separately for the cold (November–March) and warm (April–October) seasons. Validation of the А. Б. Семергей-Чумаченко reanalysis results is carried out by comparison with observational data from the Odessa meteorological station (ECA&D, STAID: 400) for the same period. Annual trend analysis reveals a statistically insignificant at the standard level of p<0,05, but pronounced decreasing tendency in total wet-day precipitation (PRCPTOT: −3,48 mm/yr, p=0,064). Seasonal trend decomposition demonstrates that all statistically significant trends are confined to the warm season: a decrease in PRCPTOT (−2,60 mm/yr, p=0,032), a reduction in the frequency of days with precipitation ≥10 mm (R10MM: −0,088 days/yr, p=0,012), and a statistically insignificant at p<0,05, but pronounced increase in the length of dry spells (CDD: +0,208 days/yr, p=0,094). No significant trends are detected during the cold season. Spatial trend analysis using the Mann-Kendall test reveals the predominance of significant negative signals for PRCPTOT and R10MM across most of the study domain, with the most pronounced decrease in the northern and central parts of the domain. The spatial distribution of CDD trends is characterised by heterogeneity: significant positive trends are recorded in the eastern part of the region, while the coastal zone exhibits insignificant negative or neutral values, potentially indicating a modifying influence of the Black Sea. For RX1DAY, spatial analysis reveals significant negative trends in the northern part of the region, which contrasts with the increasing trend recorded at the Odessa meteorological station (+0,90 mm/yr, p=0,010), indicating limitations of the reanalysis in capturing point-scale precipitation extremes. Validation against ECA&D data reveals satisfactory agreement for accumulated precipitation indices (PRCPTOT: R=0,45, p=0,012; R10MM: R=0,51, p=0,004). The results may indicate increasing warm-season dryness in the North-Western Black Sea region during 1991–2020, consistent with regional tendencies of summer precipitation decline characteristic of the Black Sea and Mediterranean sectors. The identified trends have practical implications for water resource assessment and agroclimatic conditions in southern Ukraine.

References

World Meteorological Organization (2025): State of the Climate in Europe 2024. WMO, Geneva. https://library.wmo.int/records/item/69475-state-of-the-climate-in-europe-2024 (Accessed on 20-May-2026).

Ukraine's Climate Change Adaptation Communication to UNFCCC, 27 May 2024. https://unfccc.int/sites/default/files/2025-05/Ukraine%201st%20 Adaptation%20Communication.pdf (Accessed on 26-May-2026).

Ovcharuk, V. and Khomenko, I.: Flash Flood Events in the Northwestern Black Sea Region under Climate Change, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-14233. https://doi.org/10.5194/egusphere-egu26-14233

Zhang, X., et al. Indices for monitoring changes in extremes based on daily temperature and precipitation data. WIREs Climate Change, 2, 851–870, 2011. https://doi.org/10.1002/wcc.147

Klein Tank, A. M. G., and Können, G. P. Trends in Indices of Daily Temperature and Precipitation Extremes in Europe, 1946–99. Journal of Climate, 16, 3665–3680, 2003. https://doi.org/10.1175/1520-0442(2003)016<3665:TIIODT>2.0.CO;2

Micu, D.M., Amihaesei, V.A., Milian, N. et al. Recent changes in temperature and precipitation indices in the Southern Carpathians, Romania (1961–2018). Theoretical and Applied Climatology, 144, 691–710, 2021. https://doi.org/10.1007/s00704-021-03560-w

Ionita, M. et al. On the Examination of the Relationship between Mean and Extreme Precipitation and Circulation Types over Southern Romania. Atmosphere, 14(9), 1345, 2023. https://doi.org/10.3390/atmos14091345

Agayar, E., Aemisegger, F., Armon, M., Scherrmann, A., Wernli, H. Precipitation extremes in Ukraine from 1979 to 2019: climatology, large-scale flow conditions, and moisture sources. Natural Hazards and Earth System Sciences, 24, 2441–2459, 2024. https://doi.org/10.5194/nhess-24-2441-2024

Agayar, E. Precipitation extremes in the Ukraine: dynamical aspects, large-scale circulation and moisture sources. EGU General Assembly 2023, Vienna, Austria, 24–28 April 2023, EGU23-2647. https://doi.org/10.5194/egusphere-egu23-2647

Semerhei-Chumachenko, A. B., & Slobodianyk, K. L. Spatial–temporal distribution of heavy precipitation over Ukraine during 1979–2019 according to the ERA5 reanalysis. Ukrainian hydrometeorological journal, (26), 50–59, 2020. https://doi.org/10.31481/uhmj.26.2020.04 [in Ukrainian].

Slobodianyk, K. L., Semerhei-Chumachenko, A. B., Veretnova, V. O. Occurrence of heavy precipitation at Kherson station according to ERA5 reanalysis and meteorological observations. World Science, No 11 (72), 2021. https://doi.org/10.31435/rsglobal_ws/30122021/7720 [in Ukrainian].

Prokofiev, O.М., Goncharova, L.D. Assessment of spring regional responses of the thermal regime of the Northwestern Black Sea region to global climate change. Ukrainian hydrometeorological journal, 2025. https://uhmj.org.ua/index.php/journal/article/view/234 [in Ukrainian].

Borovska, H., Khokhlov, V. Climate data for Odesa, Ukraine in 2021–2050 based on EURO‐CORDEX simulations. Geoscience Data Journal, 2024. https://doi.org/10.1002/gdj3.197

IPCC: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report. Cambridge University Press, 2021. https://doi.org/10.1017/9781009157896

Hersbach, H., Bell, B., Berrisford, P., et al. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049, 2020. https://doi.org/10.1002/qj.3803

Muñoz Sabater, J. ERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), 2019. https://doi.org/10.24381/cds.e2161bac (Accessed on 20-May-2026).

Muñoz Sabater, J., Dutra, E., Agustí-Panareda, A., et al. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 13, 4349–4383, 2021. https://doi.org/10.5194/essd-13-4349-2021

Diaz, D. et al. Evaluating the ability of gridded climate datasets to capture temperature and precipitation trends and extremes. Scientific Reports, 15, 12607, 2025. https://doi.org/10.1038/s41598-025-97570-7

de Gois, G. et al. Satellite–Reanalysis Contrasts in Extreme Rainfall around the Itaipu Reservoir, Brazil. Earth Systems and Environment, 2026. https://doi.org/10.1007/s41748-026-01238-9

Published
2026-07-14
How to Cite
Semerhei-Chumachenko, A. B. (2026). ETCCDI INDICES IN THE ODESSA REGION BASED ON ERA5-LAND REANALYSIS AND STATION OBSERVATIONS: TRENDS AND VALIDATION FOR 1991–2020. Ukrainian Hydrometeorological Journal, (36), 34-53. https://doi.org/10.32782/uhj.36.2026.03
Section
Meteorology and Climatology