EGU26-19630, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-19630
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 04 May, 08:30–10:15 (CEST), Display time Monday, 04 May, 08:30–12:30
 
Hall X3, X3.35
Spatiotemporal variability of precipitation in Central and Eastern European countries: A 20-year time series analysis of CHIRPS data for the detection of extreme events
Juliane Huth1, Aster Tesfaye Hordofa1, Jan Kropacek2, Attila Nagy3, Mihal Habel4, Blagoja Mukanov5, Michael Maerker6, and Felix Bachofer1
Juliane Huth et al.
  • 1Earth Observation Center (EOC), German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Wessling, Germany (juliane.huth@dlr.de)
  • 2Department of Physical Geography and Geoecology, Charles University, Prague, Czech Republic (kropacja@natur.cuni.cz)
  • 3Institute of Water and Environmental Management, University of Debrecen, Debrecen, Hungary (attilanagy@agr.unideb.hu)
  • 4Faculty of Geographical Sciences, Kazimierz Wielki University, Bydgoszcz, Poland (hydro.habel@ukw.edu.pl)
  • 5Agfutura Technologies, Skopje, North Macedonia (blagoja.mukanov@agfutura.com)
  • 6Università degli Studi di Pavia, Italy (michael.maerker@unipv.it)

In recent years, the impact of extreme weather events, such as droughts, has been reported more frequently in Central and Eastern European countries. Rising temperatures and increasingly variable precipitation patterns affect natural ecosystems and agricultural areas, which could impact water resources, agricultural productivity and livelihoods in the future.

This study analyses the Standardised Precipitation Index (SPI), derived from Climate Hazards Centre Infrared Precipitation with Stations (CHIRPS) data, over the last 20 years. The regional focus is on Central and Eastern European countries, with a spatial gradient from the Baltic Sea to the Adriatic Sea in order to cover several biogeographic regions.

The SPI is a widely used tool for assessing the severity and frequency of drought events, providing a standardised measure of precipitation anomalies over various temporal and spatial scales. This study uses SPI-1 and SPI-3 data (at 1- and 3-month scales) for Poland, the Czech Republic, Slovakia, Slovenia, Hungary and Croatia between 2005 and 2024. The aim of analysing these data is to initially identify spatial and temporal patterns in drought frequency, duration, and intensity for this period.

Our future collaborative work will assess the relationship between analysed precipitation patterns and other key climatic factors (e.g. temperature) and further environmental factors (e.g. soil, water and vegetation conditions). This can provide a deeper understanding of the spatial and temporal distribution of climatic extreme events in this region. Furthermore, SPI analyses should be complemented by climate projections to provide insights into potential future changes in precipitation patterns and the frequency of extreme events in Central and Eastern Europe.

How to cite: Huth, J., Hordofa, A. T., Kropacek, J., Nagy, A., Habel, M., Mukanov, B., Maerker, M., and Bachofer, F.: Spatiotemporal variability of precipitation in Central and Eastern European countries: A 20-year time series analysis of CHIRPS data for the detection of extreme events, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19630, https://doi.org/10.5194/egusphere-egu26-19630, 2026.