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Zbigniew W. Kundzewicz

Researcher at Potsdam Institute for Climate Impact Research

Publications -  178
Citations -  28093

Zbigniew W. Kundzewicz is an academic researcher from Potsdam Institute for Climate Impact Research. The author has contributed to research in topics: Climate change & Flood myth. The author has an hindex of 50, co-authored 167 publications receiving 26046 citations. Previous affiliations of Zbigniew W. Kundzewicz include Stanford University & Polish Academy of Sciences.

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Water resources and their use

TL;DR: In this article, a review of surface and ground water resources of Poland and their use, with focus on their spatial and temporal distribution, is presented, accounting effects of climate change caused by enhanced greenhouse gas emissions, demographic changes and prospective needs of major economic sectors.
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Joint Editorial—On the future of journal publications in hydrology

TL;DR: In this paper, editors from several journals in the field of hydrology met during the Assembly of the International Association of Hydrological Sciences in Gothenburg in July 2013 to share thoughts on the future of hydrological research.
Book ChapterDOI

Anatomy of Flood Risk

TL;DR: In this article, the notion of flood risk is interpreted and factors influencing flood risk: hazard, exposure, and vulnerability are examined, and a holistic perspective on changing flood risk are provided.
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Preface: climate change proof flood risk management

TL;DR: In this paper, it is widely recognized that climate change is happening and the resulting changes in the climate system and water cycle are unequivocal and manifest themselves in sea level rise and an increasing likelihood of extreme weather worldwide, evidenced by the increasing frequency of occurrence of hurricanes, tornados, extreme rainfall and heat waves.
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How evaluation of hydrological models influences results of climate impact assessment—an editorial

TL;DR: In this paper, the authors introduce the special issue (SI) "How evaluation of hydrological models influences results of climate impact assessment" and reveal whether the calibration/validation methods and the model evaluation results influence climate impacts in terms of the magnitude of the change signal and the uncertainty range.