Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding
<p>Interacting storm surges and high water runoff can cause compound flooding (CF) in low-lying coasts and river estuaries. The large-scale CF hazard has been typically studied using proxies such as the concurrence of storm surge extremes either with precipitation or with river discharge extre...
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2020-06-01
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doaj-78c8e12b13d84c62a6243ce21c267c662020-11-25T03:59:22ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812020-06-01201765178210.5194/nhess-20-1765-2020Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound floodingE. Bevacqua0E. Bevacqua1M. I. Vousdoukas2T. G. Shepherd3M. Vrac4Department of Meteorology, University of Reading, Reading, UKInvited contribution by Emanuele Bevacqua, recipient of the Outstanding Student Poster and PICO (OSPP) Award 2018. Joint Research Centre (JRC), European Commission, Ispra, ItalyDepartment of Meteorology, University of Reading, Reading, UKLaboratoire des Sciences du Climat et de l'Environnement, CNRS/IPSL, Gif-sur-Yvette, France<p>Interacting storm surges and high water runoff can cause compound flooding (CF) in low-lying coasts and river estuaries. The large-scale CF hazard has been typically studied using proxies such as the concurrence of storm surge extremes either with precipitation or with river discharge extremes. Here the impact of the choice of such proxies is addressed employing state-of-the-art global datasets. Although they are proxies of diverse physical mechanisms, we find that the two approaches show similar CF spatial patterns. On average, deviations are smaller in regions where assessing the actual CF is more relevant, i.e. where the CF potential is high. Differences between the two assessments increase with the catchment size, and our findings indicate that CF in long rivers (catchment <span class="inline-formula"><i>≳</i>5</span>–<span class="inline-formula">10×10<sup>3</sup></span> km<span class="inline-formula"><sup>2</sup></span>) should be analysed using river discharge data. The precipitation-based assessment allows for considering local-rainfall-driven CF and CF in small rivers not resolved by large-scale datasets.</p>https://www.nat-hazards-earth-syst-sci.net/20/1765/2020/nhess-20-1765-2020.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
E. Bevacqua E. Bevacqua M. I. Vousdoukas T. G. Shepherd M. Vrac |
spellingShingle |
E. Bevacqua E. Bevacqua M. I. Vousdoukas T. G. Shepherd M. Vrac Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding Natural Hazards and Earth System Sciences |
author_facet |
E. Bevacqua E. Bevacqua M. I. Vousdoukas T. G. Shepherd M. Vrac |
author_sort |
E. Bevacqua |
title |
Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding |
title_short |
Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding |
title_full |
Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding |
title_fullStr |
Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding |
title_full_unstemmed |
Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding |
title_sort |
brief communication: the role of using precipitation or river discharge data when assessing global coastal compound flooding |
publisher |
Copernicus Publications |
series |
Natural Hazards and Earth System Sciences |
issn |
1561-8633 1684-9981 |
publishDate |
2020-06-01 |
description |
<p>Interacting storm surges and high water runoff can cause compound flooding (CF) in low-lying coasts and river estuaries. The large-scale CF hazard has been typically studied using proxies such as the concurrence of storm surge extremes either with precipitation or with river discharge extremes. Here the impact of the choice of such proxies is addressed employing state-of-the-art global datasets. Although they are proxies of diverse physical mechanisms, we find that the two approaches show similar CF spatial patterns. On average, deviations are smaller in regions where assessing the actual CF is more relevant, i.e. where the CF potential is high. Differences between the two assessments increase with the catchment size, and our findings indicate that CF in long rivers (catchment <span class="inline-formula"><i>≳</i>5</span>–<span class="inline-formula">10×10<sup>3</sup></span> km<span class="inline-formula"><sup>2</sup></span>) should be analysed using river discharge data. The precipitation-based assessment allows for considering local-rainfall-driven CF and CF in small rivers not resolved by large-scale datasets.</p> |
url |
https://www.nat-hazards-earth-syst-sci.net/20/1765/2020/nhess-20-1765-2020.pdf |
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