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 describes how the Coupled Model Intercomparison Project organized its 7th phase (CMIP7) to encourage the production of Earth system model outputs relevant for impacts and adaptation. Community engagement identified 13 opportunities for application across human and natural systems, 60 variable groups and 539 unique variables. We also show how simulations can more efficiently meet applications needs by targeting appropriate resolution, time slices, experiments and variable groups.
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Thomas P. Collings, Callum J. R. Murphy-Barltrop, Conor Murphy, Ivan D. Haigh, Paul D. Bates, and Niall D. Quinn
Nat. Hazards Earth Syst. Sci., 25, 4545–4562, https://doi.org/10.5194/nhess-25-4545-2025, https://doi.org/10.5194/nhess-25-4545-2025, 2025
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Hung Nghia Nguyen, Quan Quan Le, Viet Dung Nguyen, Hai Dac Do, Hung Duc Pham, Tan Hong Cao, Toan Quang To, Melissa Wood, and Ivan D. Haigh
Nat. Hazards Earth Syst. Sci., 25, 4227–4246, https://doi.org/10.5194/nhess-25-4227-2025, https://doi.org/10.5194/nhess-25-4227-2025, 2025
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Caroline Cognot, Liliane Bel, David Métivier, and Sylvie Parey
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Emmanuel Gobet, David Métivier, and Sylvie Parey
Adv. Stat. Clim. Meteorol. Oceanogr., 11, 159–201, https://doi.org/10.5194/ascmo-11-159-2025, https://doi.org/10.5194/ascmo-11-159-2025, 2025
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Stochastic weather generators (SWGs) are statistical models used to study climate variability. We design an interpretable multisite SWG for precipitation, capable of learning large-scale weather regimes solely from French observational data. The model reproduces extreme events like droughts and heavy rain and is applied to climate models under historical and Representative Concentration Pathway (RCP) scenarios. This type of model aims to assess large-scale weather risks, such as those impacting energy systems and agriculture.
Stephen E. Darby, Ivan D. Haigh, Melissa Wood, Bui Duong, Tien Le Thuy Du, Thao Phuong Bui, Justin Sheffield, Hal Voepel, and Joël J.-M. Hirschi
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We use model simulations to see what changes have been occurring to Mekong and Red River flows, 1970–2019, due to changes in tropical cyclone (TC)-linked precipitation. Results suggest that the highest river flows in multiple sub-catchments have been increasing over time, with coastal zones most intensely affected due to the combination of TC track and wet soils from prior rainfall. Climate change may exacerbate this TC-linked risk in the future making it a topic of strategic importance.
Ziyu Chen, Philip M. Orton, James F. Booth, Thomas Wahl, Arthur DeGaetano, Joel Kaatz, and Radley M. Horton
Hydrol. Earth Syst. Sci., 29, 3101–3117, https://doi.org/10.5194/hess-29-3101-2025, https://doi.org/10.5194/hess-29-3101-2025, 2025
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Sara Santamaria-Aguilar, Pravin Maduwantha, Alejandra R. Enriquez, and Thomas Wahl
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Traditional flood assessments use an event-based approach, assuming flood risk matches the chance of flood drivers. However, flooding also depends on topography and the spatio-temporal features of events. The response-based approach uses many events to estimate flood hazard directly. In Gloucester City (NJ, U.S.), we find that frequent events can cause rare (1 %) flood levels due to their spatio-temporal characteristics. Including these factors is key for accurate flood hazard estimates.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, Sönke Dangendorf, Hanbeen Kim, and Gabriele Villarini
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Compound flooding occurs when multiple drivers, such as heavy rain and storm surge, occur simultaneously. Comprehensive compound flood risk assessments require simulating a many storm events using flood models, but such historical data are limited. To address this, we developed a statistical framework to generate large numbers of synthetic yet realistic storm events for use in flood modeling.
Joshua Green, Ivan D. Haigh, Niall Quinn, Jeff Neal, Thomas Wahl, Melissa Wood, Dirk Eilander, Marleen de Ruiter, Philip Ward, and Paula Camus
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Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
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Sönke Dangendorf, Qiang Sun, Thomas Wahl, Philip Thompson, Jerry X. Mitrovica, and Ben Hamlington
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Sea-level information from the global ocean is sparse in time and space, with comprehensive data being limited to the period since 2005. Here we provide a novel reconstruction of sea level and its contributing causes, as determined by a Kalman smoother approach applied to tide gauge records over the period 1900–2021. The new reconstruction shows a continuing acceleration in global mean sea-level rise since 1970 that is dominated by melting land ice. Contributors vary significantly by region.
Thomas P. Collings, Niall D. Quinn, Ivan D. Haigh, Joshua Green, Izzy Probyn, Hamish Wilkinson, Sanne Muis, William V. Sweet, and Paul D. Bates
Nat. Hazards Earth Syst. Sci., 24, 2403–2423, https://doi.org/10.5194/nhess-24-2403-2024, https://doi.org/10.5194/nhess-24-2403-2024, 2024
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Coastal areas are at risk of flooding from rising sea levels and extreme weather events. This study applies a new approach to estimating the likelihood of coastal flooding around the world. The method uses data from observations and computer models to create a detailed map of where these coastal floods might occur. The approach can predict flooding in areas for which there are few or no data available. The results can be used to help prepare for and prevent this type of flooding.
Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, and Matthias Mengel
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This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, Joël J.-M. Hirschi, Robert J. Nicholls, and Nadia Bloemendaal
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We used a novel database of simulated tropical cyclone tracks to explore whether typhoon-induced storm surges present a future flood risk to low-lying coastal communities around the South China Sea. We found that future climate change is likely to change tropical cyclone behaviour to an extent that this increases the severity and frequency of storm surges to Vietnam, southern China, and Thailand. Consequently, coastal flood defences need to be reviewed for resilience against this future hazard.
Ed Hawkins, Philip Brohan, Samantha N. Burgess, Stephen Burt, Gilbert P. Compo, Suzanne L. Gray, Ivan D. Haigh, Hans Hersbach, Kiki Kuijjer, Oscar Martínez-Alvarado, Chesley McColl, Andrew P. Schurer, Laura Slivinski, and Joanne Williams
Nat. Hazards Earth Syst. Sci., 23, 1465–1482, https://doi.org/10.5194/nhess-23-1465-2023, https://doi.org/10.5194/nhess-23-1465-2023, 2023
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We examine a severe windstorm that occurred in February 1903 and caused significant damage in the UK and Ireland. Using newly digitized weather observations from the time of the storm, combined with a modern weather forecast model, allows us to determine why this storm caused so much damage. We demonstrate that the event is one of the most severe windstorms to affect this region since detailed records began. The approach establishes a new tool to improve assessments of risk from extreme weather.
Katherine L. Towey, James F. Booth, Alejandra Rodriguez Enriquez, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 22, 1287–1300, https://doi.org/10.5194/nhess-22-1287-2022, https://doi.org/10.5194/nhess-22-1287-2022, 2022
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Coastal flooding due to storm surge from tropical cyclones is a significant hazard. The influence of tropical cyclone characteristics, including its proximity, intensity, path angle, and speed, on the magnitude of storm surge is examined along the eastern United States. No individual characteristic was found to be strongly related to how much surge occurred at a site, though there is an increased likelihood of high surge occurring when tropical cyclones are both strong and close to a location.
Ahmed A. Nasr, Thomas Wahl, Md Mamunur Rashid, Paula Camus, and Ivan D. Haigh
Hydrol. Earth Syst. Sci., 25, 6203–6222, https://doi.org/10.5194/hess-25-6203-2021, https://doi.org/10.5194/hess-25-6203-2021, 2021
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We analyse dependences between different flooding drivers around the USA coastline, where the Gulf of Mexico and the southeastern and southwestern coasts are regions of high dependence between flooding drivers. Dependence is higher during the tropical season in the Gulf and at some locations on the East Coast but higher during the extratropical season on the West Coast. The analysis gives new insights on locations, driver combinations, and the time of the year when compound flooding is likely.
Julia Rulent, Lucy M. Bricheno, J. A. Mattias Green, Ivan D. Haigh, and Huw Lewis
Nat. Hazards Earth Syst. Sci., 21, 3339–3351, https://doi.org/10.5194/nhess-21-3339-2021, https://doi.org/10.5194/nhess-21-3339-2021, 2021
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High coastal total water levels (TWLs) can lead to flooding and hazardous conditions for coastal communities and environment. In this research we are using numerical models to study the interactions between the three main components of the TWL (waves, tides, and surges) on UK and Irish coasts during winter 2013/14. The main finding of this research is that extreme waves and surges can indeed happen together, even at high tide, but they often occurred simultaneously 2–3 h before high tide.
Samuel Tiéfolo Diabaté, Didier Swingedouw, Joël Jean-Marie Hirschi, Aurélie Duchez, Philip J. Leadbitter, Ivan D. Haigh, and Gerard D. McCarthy
Ocean Sci., 17, 1449–1471, https://doi.org/10.5194/os-17-1449-2021, https://doi.org/10.5194/os-17-1449-2021, 2021
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The Gulf Stream and the Kuroshio are major currents of the North Atlantic and North Pacific, respectively. They transport warm water northward and are key components of the Earth climate system. For this study, we looked at how they affect the sea level of the coasts of Japan, the USA and Canada. We found that the inshore sea level
co-varies with the north-to-south shifts of the Gulf Stream and Kuroshio. In the paper, we discuss the physical mechanisms that could explain the agreement.
Georg Umgiesser, Marco Bajo, Christian Ferrarin, Andrea Cucco, Piero Lionello, Davide Zanchettin, Alvise Papa, Alessandro Tosoni, Maurizio Ferla, Elisa Coraci, Sara Morucci, Franco Crosato, Andrea Bonometto, Andrea Valentini, Mirko Orlić, Ivan D. Haigh, Jacob Woge Nielsen, Xavier Bertin, André Bustorff Fortunato, Begoña Pérez Gómez, Enrique Alvarez Fanjul, Denis Paradis, Didier Jourdan, Audrey Pasquet, Baptiste Mourre, Joaquín Tintoré, and Robert J. Nicholls
Nat. Hazards Earth Syst. Sci., 21, 2679–2704, https://doi.org/10.5194/nhess-21-2679-2021, https://doi.org/10.5194/nhess-21-2679-2021, 2021
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The city of Venice relies crucially on a good storm surge forecast to protect its population and cultural heritage. In this paper, we provide a state-of-the-art review of storm surge forecasting, starting from examples in Europe and focusing on the Adriatic Sea and the Lagoon of Venice. We discuss the physics of storm surge, as well as the particular aspects of Venice and new techniques in storm surge modeling. We also give recommendations on what a future forecasting system should look like.
Jiayi Fang, Thomas Wahl, Jian Fang, Xun Sun, Feng Kong, and Min Liu
Hydrol. Earth Syst. Sci., 25, 4403–4416, https://doi.org/10.5194/hess-25-4403-2021, https://doi.org/10.5194/hess-25-4403-2021, 2021
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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
Nat. Hazards Earth Syst. Sci., 21, 2021–2040, https://doi.org/10.5194/nhess-21-2021-2021, https://doi.org/10.5194/nhess-21-2021-2021, 2021
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In coastal regions, floods can arise through concurrent drivers, such as precipitation, river discharge, storm surge, and waves, which exacerbate the impact. In this study, we identify hotspots of compound flooding along the southern coast of the North Atlantic Ocean and the northern coast of the Mediterranean Sea. This regional assessment can be considered a screening tool for coastal management that provides information about which areas are more predisposed to experience compound flooding.
Cited articles
Andreevsky, M., Hamdi, Y., Griolet, S., Bernardara, P., and Frau, R.:
Regional frequency analysis of extreme storm surges using the extremogram
approach, Nat. Hazards Earth Syst. Sci., 20, 1705–1717,
https://doi.org/10.5194/nhess-20-1705-2020, 2020.
Ben Daoued, A., Hamdi, Y., Mouhous-Voyneau, N., and Sergent, P.: Modeling
dependence and coincidence of storm surges and high tide: methodology,
discussion and recommendations based on a simplified case study in Le Havre
(France), Nat. Hazards Earth Syst. Sci., 20, 3387–3398,
https://doi.org/10.5194/nhess-20-3387-2020, 2020.
Cunnane, C.: Review of Statistical Models for Flood Frequency Estimation, in: Hydrologic Frequency Modeling, edited by: Singh, V. P., Springer, Dordrecht, https://doi.org/10.1007/978-94-009-3953-0_4, 1987.
Dalrymple, T.: Flood-Frequency Analyses. Manual of Hydrology: Flood-Flow Techniques, Geological Survey Water-Supply, Washington, https://doi.org/10.3133/wsp1543A, 1960.
Fu, S., Chen, L., Woldai, T., Yin, K., Gui, L., Li, D., Du, J., Zhou, C., Xu, Y., and Lian, Z.: Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China, Nat. Hazards Earth Syst. Sci., 20, 581–601, https://doi.org/10.5194/nhess-20-581-2020, 2020.
Haigh, I., Wadey, M., Wahl, T., Ozsoy, O., Nicholls, R. J., Brown, J. M., Horsburgh, K., and Gouldby, B.: Spatial and temporal analysis of extreme sea level and storm surge events around the coastline of the UK, Sci. Data, 3, 160107 https://doi.org/10.1038/sdata.2016.107, 2016.
Hamdi, Y., Duluc, CM., Bardet, L., and Rebour, V.: Development of a target-site-based regional frequency model using historical information, Nat. Hazards, 98, 895–913, https://doi.org/10.1007/s11069-018-3237-8, 2019.
Jane, R., Cadavid, L., Obeysekera, J., and Wahl, T.: Multivariate statistical modelling of the drivers of compound flood events in south Florida, Nat. Hazards Earth Syst. Sci., 20, 2681–2699, https://doi.org/10.5194/nhess-20-2681-2020, 2020.
Ji, F., Dai, Z., and Li, R.: A multivariate statistical method for susceptibility analysis of debris flow in southwestern China, Nat. Hazards
Earth Syst. Sci., 20, 1321–1334, https://doi.org/10.5194/nhess-20-1321-2020, 2020.
Kudryavtseva, N., Soomere, T., and Männikus, R.: Non-stationary analysis of water level extremes in Latvian waters, Baltic Sea, during 1961–2018, Nat. Hazards Earth Syst. Sci., 21, 1279–1296, https://doi.org/10.5194/nhess-21-1279-2021, 2021.
Le Roux, E., Evin, G., Eckert, N., Blanchet, J., and Morin, S.: Non-stationary extreme value analysis of ground snow loads in the French
Alps: a comparison with building standards, Nat. Hazards Earth Syst. Sci.,
20, 2961–2977, https://doi.org/10.5194/nhess-20-2961-2020, 2020.
Lu, M., Zhang, J., Zhang, L., and Zhang, L.: Assessing the annual risk of
vehicles being hit by a rainfall-induced landslide: a case study on Kennedy
Road in Wan Chai, Hong Kong, Nat. Hazards Earth Syst. Sci., 20, 1833–1846,
https://doi.org/10.5194/nhess-20-1833-2020, 2020.
Luo, X., Fan, X., Li, Y., and Ji, X.: Bias correction of a gauge-based gridded product to improve extreme precipitation analysis in the Yarlung
Tsangpo–Brahmaputra River basin, Nat. Hazards Earth Syst. Sci., 20,
2243–2254, https://doi.org/10.5194/nhess-20-2243-2020, 2020.
Orcel, O., Sergent, P., and Ropert, F.: Trivariate copula to design coastal
structures, Nat. Hazards Earth Syst. Sci., 21, 239–260,
https://doi.org/10.5194/nhess-21-239-2021, 2021.
Parey, S., Hoang, T. T. H., and Dacunha-Castelle, D.: Future high temperature
extremes and stationarity, Nat. Hazards, 98, 1115–1134, https://doi.org/10.1007/s11069-018-3499-1, 2019.
Pecelj, M. M., Lukić, M. Z., Filipović, D. J., Protić, B. M.,
and Bogdanović, U. M.: Analysis of the Universal Thermal Climate Index
during heat waves in Serbia, Nat. Hazards Earth Syst. Sci., 20, 2021–2036,
https://doi.org/10.5194/nhess-20-2021-2020, 2020.
Rohmer, J., Gehl, P., Marcilhac-Fradin, M., Guigueno, Y., Rahni, N., and
Clément, J.: Non-stationary extreme value analysis applied to seismic
fragility assessment for nuclear safety analysis, Nat. Hazards Earth Syst.
Sci., 20, 1267–1285, https://doi.org/10.5194/nhess-20-1267-2020, 2020.
Stephens, S. A., Bell, R. G., and Haigh, I. D.: Spatial and temporal analysis of extreme storm-tide and skew-surge events around the coastline of New Zealand, Nat. Hazards Earth Syst. Sci., 20, 783–796,
https://doi.org/10.5194/nhess-20-783-2020, 2020.
Tilloy, A., Malamud, B. D., Winter, H., and Joly-Laugel, A.: Evaluating the
efficacy of bivariate extreme modelling approaches for multi-hazard
scenarios, Nat. Hazards Earth Syst. Sci., 20, 2091–2117,
https://doi.org/10.5194/nhess-20-2091-2020, 2020.
Turki, I., Baulon, L., Massei, N., Laignel, B., Costa, S., Fournier, M., and
Maquaire, O.: A nonstationary analysis for investigating the multiscale
variability of extreme surges: case of the English Channel coasts, Nat.
Hazards Earth Syst. Sci., 20, 3225–3243, https://doi.org/10.5194/nhess-20-3225-2020, 2020.
Wahl, T., Haigh, I., Nicholls, R., Arns, A., Dangendorf, S., Hinkel, J., and Slangen, A. B.: Understanding extreme sea levels for broad-scale coastal impact and adaptation analysis, Nat. Commun., 8, 16075, https://doi.org/10.1038/ncomms16075, 2017.
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