Karol Mikołajewski, Alfred Stach, Marek Ruman, Klaudia Kosek, Zbigniew W. Kundzewicz, Paweł Licznar
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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.
期刊介绍：
Explores the link between anthropogenic activities and the environment, Ambio encourages multi- or interdisciplinary submissions with explicit management or policy recommendations.
Ambio addresses the scientific, social, economic, and cultural factors that influence the condition of the human environment. Ambio particularly encourages multi- or inter-disciplinary submissions with explicit management or policy recommendations.
For more than 45 years Ambio has brought international perspective to important developments in environmental research, policy and related activities for an international readership of specialists, generalists, students, decision-makers and interested laymen.
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