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Pierluigi Claps

Researcher at Polytechnic University of Turin

Publications -  156
Citations -  4281

Pierluigi Claps is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Flood myth & Environmental science. The author has an hindex of 27, co-authored 141 publications receiving 3264 citations. Previous affiliations of Pierluigi Claps include University of Basilicata.

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Changing climate both increases and decreases European river floods

Günter Blöschl, +47 more
- 05 Sep 2019 - 
TL;DR: Analysis of a comprehensive European flood dataset reveals regional changes in river flood discharges in the past five decades that are broadly consistent with climate model projections for the next century, suggesting that climate-driven changes are already happening and supporting calls for the consideration of climate change in flood risk management.
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Changing climate shifts timing of European floods

Günter Blöschl, +45 more
- 11 Aug 2017 - 
TL;DR: Analysis of the timing of river floods in Europe over the past 50 years found clear patterns of changes in flood timing that can be ascribed to climate effects, and highlights the existence of a clear climate signal in flood observations at the continental scale.
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Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Günter Blöschl, +212 more
TL;DR: In this article, a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts is described. But despite the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work.
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Understanding Flood Regime Changes in Europe: A state of the art assessment

TL;DR: In this article, the authors reviewed the current knowledge on flood regime changes in European rivers that has traditionally been obtained through two alternative research approaches: data-based detection of changes in observed flood events and modelled scenarios of future floods.