Heavy rainfalls in Poland and their hyetographs

In the light of observed variability in precipitation patterns, there is a growing need for comprehensive data mining of regularly updated rainfall recording databases. Therefore, an analysis of heavy rainfall and hyetographs was conducted using a 30-year high-resolution dataset from 100 rain gauges across Poland, covering 31 646 rainfall events. Distributions of rainfall depths, durations, and intensities were explored, and maxima were compared to global records. Spatial analysis revealed significant variations in the frequency, depths, and durations of extreme rainfall across different regions. Cluster analysis determined model hyetographs for each station. The likelihood of regions belonging to clusters with three to five model hyetographs was assessed using Indicator Kriging. Findings underscore the importance of using local, characteristics rainfalls in hydrodynamic modelling of drainage systems and future rainfall scenarios. These results provide a foundational step towards understanding and monitoring the impacts of climate change on rainfall characteristics, especially extremes, in future decades.

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Publication Details

Journal
AMBIO
Published
2024-09-16
DOI
https://doi.org/10.1007/s13280-024-02069-6
Citations
3
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
0.85

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article

Heavy rainfalls in Poland and their hyetographs

P. Licznar, Klaudia Kosek, Alfred Stach, Marek Ruman et al.
3 citations
AMBIO
Hydrology and Drought Analysis
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article

Heavy rainfalls in Poland and their hyetographs

P. Licznar, Klaudia Kosek, Alfred Stach, Marek Ruman, Karol Mikołajewski, Zbigniew W. Kundzewicz
article en
3 citations

Abstract

In the light of observed variability in precipitation patterns, there is a growing need for comprehensive data mining of regularly updated rainfall recording databases. Therefore, an analysis of heavy rainfall and hyetographs was conducted using a 30-year high-resolution dataset from 100 rain gauges across Poland, covering 31 646 rainfall events. Distributions of rainfall depths, durations, and intensities were explored, and maxima were compared to global records. Spatial analysis revealed significant variations in the frequency, depths, and durations of extreme rainfall across different regions. Cluster analysis determined model hyetographs for each station. The likelihood of regions belonging to clusters with three to five model hyetographs was assessed using Indicator Kriging. Findings underscore the importance of using local, characteristics rainfalls in hydrodynamic modelling of drainage systems and future rainfall scenarios. These results provide a foundational step towards understanding and monitoring the impacts of climate change on rainfall characteristics, especially extremes, in future decades.

AMBIOVol. 54(1)
Warsaw University of Technology (PL), Polish Naval Academy (PL), Instytut Oceanologii Polskiej Akademii Nauk (PL), University of Life Sciences in Poznań (PL), Adam Mickiewicz University in Poznań (PL), University of Silesia in Katowice (PL)
Ministerstwo Edukacji i Nauki
Climate action
Openalex Percentile: Top 28%
Hydrology and Drought Analysis
0.85
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