Articles | Volume 21, issue 5
https://doi.org/10.5194/nhess-21-1461-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1461-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 May 2021
Research article |
| 10 May 2021
| 10 May 2021
Preface: Advances in extreme value analysis and application to natural hazards
Yasser Hamdi
CORRESPONDING AUTHOR
Institute for Radiological Protection and Nuclear Safety,
Fontenay-aux-Roses, France
Ivan D. Haigh
School of Ocean and Earth Sciences, National Oceanography Centre,
University of Southampton, European Way, Southampton, UK
Sylvie Parey
EDF R & D, Saclay, France
Thomas Wahl
Department of Civil, Environmental, and Construction Engineering,
National Center for Integrated Coastal Research, University of Central
Florida, Orlando, USA
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This paper deals with the evaluation of the risk associated with coastal flooding by combining the tide with extreme storm surges (SSs). In this work, methods for tide and SS combination were compared. Le Havre in France was used as a case study. Overall, the example has shown that the return level estimates using different combinations are quite different. It has also been suggested that the questions of coincidence and dependency are essential for a combined tide and SS hazard analysis.
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A methodology to perform a regional frequency analysis centred on a target site is proposed. The spatial extremogram technique is used to form a physically and statistically homogeneous region around the site of interest. This is of fundamental importance to conducting a more proper regional analysis. A regional frequency estimation of extreme skew storm surges on the French coasts is carried out.
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Jiayi Fang, Thomas Wahl, Jian Fang, Xun Sun, Feng Kong, and Min Liu
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A comprehensive assessment of compound flooding potential is missing for China. We investigate dependence, drivers, and impacts of storm surge and precipitation for coastal China. Strong dependence exists between driver combinations, with variations of seasons and thresholds. Sea level rise escalates compound flood potential. Meteorology patterns are pronounced for low and high compound flood potential. Joint impacts from surge and precipitation were much higher than from each individually.
Paula Camus, Ivan D. Haigh, Ahmed A. Nasr, Thomas Wahl, Stephen E. Darby, and Robert J. Nicholls
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Amine Ben Daoued, Yasser Hamdi, Nassima Mouhous-Voyneau, and Philippe Sergent
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Robert Jane, Luis Cadavid, Jayantha Obeysekera, and Thomas Wahl
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Marc Andreevsky, Yasser Hamdi, Samuel Griolet, Pietro Bernardara, and Roberto Frau
Nat. Hazards Earth Syst. Sci., 20, 1705–1717, https://doi.org/10.5194/nhess-20-1705-2020, https://doi.org/10.5194/nhess-20-1705-2020, 2020
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Scott A. Stephens, Robert G. Bell, and Ivan D. Haigh
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Extreme sea levels in New Zealand occur in nearby places and at similar times, which means that flooding impacts and losses may be linked in space and time. The most extreme sea levels depend on storms coinciding with very high tides because storm surges are relatively small in New Zealand. The type of storm weather system influences where the extreme sea levels occur, and the annual timing is influenced by the low-amplitude (~10 cm) annual sea-level cycle.
Anaïs Couasnon, Dirk Eilander, Sanne Muis, Ted I. E. Veldkamp, Ivan D. Haigh, Thomas Wahl, Hessel C. Winsemius, and Philip J. Ward
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When a high river discharge coincides with a high storm surge level, this can exarcebate flood level, depth, and duration, resulting in a so-called compound flood event. These events are not currently included in global flood models. In this research, we analyse the timing and correlation between modelled discharge and storm surge level time series in deltas and estuaries. Our results provide a first indication of regions along the global coastline with a high compound flooding potential.
Alistair Hendry, Ivan D. Haigh, Robert J. Nicholls, Hugo Winter, Robert Neal, Thomas Wahl, Amélie Joly-Laugel, and Stephen E. Darby
Hydrol. Earth Syst. Sci., 23, 3117–3139, https://doi.org/10.5194/hess-23-3117-2019, https://doi.org/10.5194/hess-23-3117-2019, 2019
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Flooding can arise from multiple sources, including waves, extreme sea levels, rivers, and severe rainfall. When two or more sources combine, the consequences can be greatly multiplied. We find the potential for the joint occurrence of extreme sea levels and river discharge to be greater on the western coast of the UK compared to the eastern coast. This is due to the weather conditions generating each flood source around the UK. These results will help increase our flood forecasting ability.
Yasser Hamdi, Emmanuel Garnier, Nathalie Giloy, Claire-Marie Duluc, and Vincent Rebour
Nat. Hazards Earth Syst. Sci., 18, 3383–3402, https://doi.org/10.5194/nhess-18-3383-2018, https://doi.org/10.5194/nhess-18-3383-2018, 2018
Short summary
Short summary
As coastal zones are densely populated, marine flooding represents a hazard threatening populations and facilities (e.g., nuclear plants) along the shore. Using historical data can significantly improve the analysis of extremes. To address this issue, 500 years of historical storms were recovered from archives and used in frequency estimations of marine flooding extremes. The new dataset provides a valuable source of information on storm surges for future characterization of coastal hazards.
Alberto Troccoli, Clare Goodess, Phil Jones, Lesley Penny, Steve Dorling, Colin Harpham, Laurent Dubus, Sylvie Parey, Sandra Claudel, Duc-Huy Khong, Philip E. Bett, Hazel Thornton, Thierry Ranchin, Lucien Wald, Yves-Marie Saint-Drenan, Matteo De Felice, David Brayshaw, Emma Suckling, Barbara Percy, and Jon Blower
Adv. Sci. Res., 15, 191–205, https://doi.org/10.5194/asr-15-191-2018, https://doi.org/10.5194/asr-15-191-2018, 2018
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The European Climatic Energy Mixes, an EU Copernicus Climate Change Service project, has produced, in close collaboration with prospective users, a proof-of-concept climate service, or Demonstrator, designed to enable the energy industry assess how well different energy supply mixes in Europe will meet demand, over different time horizons (from seasonal to long-term decadal planning), focusing on the role climate has on the mixes. Its concept, methodology and some results are presented here.
Robert Marsh, Ivan D. Haigh, Stuart A. Cunningham, Mark E. Inall, Marie Porter, and Ben I. Moat
Ocean Sci., 13, 315–335, https://doi.org/10.5194/os-13-315-2017, https://doi.org/10.5194/os-13-315-2017, 2017
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To the west of Britain and Ireland, a strong ocean current follows the steep slope that separates the deep Atlantic and the continental shelf. This “Slope Current” exerts an Atlantic influence on the North Sea and its ecosystems. Using a combination of computer modelling and archived data, we find that the Slope Current weakened over 1988–2007, reducing Atlantic influence on the North Sea, due to a combination of warming of the subpolar North Atlantic and weakening winds to the west of Scotland.
Marc Andreewsky, Samuel Griolet, Yasser Hamdi, Pietro Bernardara, and Roberto Frau
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2016-378, https://doi.org/10.5194/nhess-2016-378, 2017
Preprint withdrawn
Short summary
Short summary
The aim of our study is to achieve extreme statistics on skew storm surges and to reduce uncertainties that are found in a local analysis by using a regional frequency analysis, for which, an important step, is to form a physically homogeneous region. Our method, which allows one to shape those physical homogeneous regions, is based on the use of the spatial extremogram, a correlation between extremes from two sites, and the regions found are consistent geographically and without border effect.
M. P. Wadey, J. M. Brown, I. D. Haigh, T. Dolphin, and P. Wisse
Nat. Hazards Earth Syst. Sci., 15, 2209–2225, https://doi.org/10.5194/nhess-15-2209-2015, https://doi.org/10.5194/nhess-15-2209-2015, 2015
Y. Hamdi, L. Bardet, C.-M. Duluc, and V. Rebour
Nat. Hazards Earth Syst. Sci., 15, 1515–1531, https://doi.org/10.5194/nhess-15-1515-2015, https://doi.org/10.5194/nhess-15-1515-2015, 2015
M. P. Wadey, I. D. Haigh, and J. M. Brown
Ocean Sci., 10, 1031–1045, https://doi.org/10.5194/os-10-1031-2014, https://doi.org/10.5194/os-10-1031-2014, 2014
Y. Hamdi, L. Bardet, C.-M. Duluc, and V. Rebour
Nat. Hazards Earth Syst. Sci., 14, 2053–2067, https://doi.org/10.5194/nhess-14-2053-2014, https://doi.org/10.5194/nhess-14-2053-2014, 2014
Cited articles
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Ben Daoued, A., Hamdi, Y., Mouhous-Voyneau, N., and Sergent, P.: Modeling
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(France), Nat. Hazards Earth Syst. Sci., 20, 3387–3398,
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