Research article
06 Oct 2022
Research article
| 06 Oct 2022
Partitioning the contributions of dependent offshore forcing conditions in the probabilistic assessment of future coastal flooding
Jeremy Rohmer et al.
Related authors
Jeremy Rohmer, Remi Thieblemont, Goneri Le Cozannet, Heiko Goelzer, and Gael Durand
The Cryosphere, 16, 4637–4657, https://doi.org/10.5194/tc-16-4637-2022, https://doi.org/10.5194/tc-16-4637-2022, 2022
Short summary
Short summary
To improve the interpretability of process-based projections of the sea-level contribution from land ice components, we apply the machine-learning-based
SHapley Additive exPlanationsapproach to a subset of a multi-model ensemble study for the Greenland ice sheet. This allows us to quantify the influence of particular modelling decisions (related to numerical implementation, initial conditions, or parametrisation of ice-sheet processes) directly in terms of sea-level change contribution.
Ryota Wada, Jeremy Rohmer, Yann Krien, and Philip Jonathan
Nat. Hazards Earth Syst. Sci., 22, 431–444, https://doi.org/10.5194/nhess-22-431-2022, https://doi.org/10.5194/nhess-22-431-2022, 2022
Short summary
Short summary
Characterizing extreme wave environments caused by tropical cyclones in the Caribbean Sea near Guadeloupe is difficult because cyclones rarely pass near the location of interest. STM-E (space-time maxima and exposure) model utilizes wave data during cyclones on a spatial neighbourhood. Long-duration wave data generated from a database of synthetic tropical cyclones are used to evaluate the performance of STM-E. Results indicate STM-E provides estimates with small bias and realistic uncertainty.
Rémi Thiéblemont, Gonéri Le Cozannet, Jérémy Rohmer, Alexandra Toimil, Moisés Álvarez-Cuesta, and Iñigo J. Losada
Nat. Hazards Earth Syst. Sci., 21, 2257–2276, https://doi.org/10.5194/nhess-21-2257-2021, https://doi.org/10.5194/nhess-21-2257-2021, 2021
Short summary
Short summary
Sea level rise and its acceleration are projected to aggravate coastal erosion over the 21st century. Resulting shoreline projections are deeply uncertain, however, which constitutes a major challenge for coastal planning and management. Our work presents a new extra-probabilistic framework to develop future shoreline projections and shows that deep uncertainties could be drastically reduced by better constraining sea level projections and improving coastal impact models.
Jeremy Rohmer, Pierre Gehl, Marine Marcilhac-Fradin, Yves Guigueno, Nadia Rahni, and Julien Clément
Nat. Hazards Earth Syst. Sci., 20, 1267–1285, https://doi.org/10.5194/nhess-20-1267-2020, https://doi.org/10.5194/nhess-20-1267-2020, 2020
Short summary
Short summary
Fragility curves (FCs) are key tools for seismic probabilistic safety assessments that are performed at the level of the nuclear power plant (NPP). These statistical methods relate the probabilistic seismic hazard loading at the given site to the required performance of the NPP safety functions. In the present study, we investigate how the tools of
non-stationary extreme value analysis can be used to model in a flexible manner the FCs for NPP.
T.J. B. Dewez, D. Girardeau-Montaut, C. Allanic, and J. Rohmer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 799–804, https://doi.org/10.5194/isprs-archives-XLI-B5-799-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-799-2016, 2016
J. Rohmer and T. Dewez
Nat. Hazards Earth Syst. Sci., 15, 349–362, https://doi.org/10.5194/nhess-15-349-2015, https://doi.org/10.5194/nhess-15-349-2015, 2015
Short summary
Short summary
This article uses summary statistics of spatial point process theory to study the spatio-temporal pattern of a rockfall inventory recorded with repeated terrestrial laser scanning surveys at a chalk coastal cliff site in Normandy, France. This allows testing and quantifying the significance of geomorphological observations. From a spatial distribution perspective, behaviours of small and large scars cannot be considered equivalent, suggesting that erosion processes and triggering factors differ.
Jeremy Rohmer, Remi Thieblemont, Goneri Le Cozannet, Heiko Goelzer, and Gael Durand
The Cryosphere, 16, 4637–4657, https://doi.org/10.5194/tc-16-4637-2022, https://doi.org/10.5194/tc-16-4637-2022, 2022
Short summary
Short summary
To improve the interpretability of process-based projections of the sea-level contribution from land ice components, we apply the machine-learning-based
SHapley Additive exPlanationsapproach to a subset of a multi-model ensemble study for the Greenland ice sheet. This allows us to quantify the influence of particular modelling decisions (related to numerical implementation, initial conditions, or parametrisation of ice-sheet processes) directly in terms of sea-level change contribution.
Ryota Wada, Jeremy Rohmer, Yann Krien, and Philip Jonathan
Nat. Hazards Earth Syst. Sci., 22, 431–444, https://doi.org/10.5194/nhess-22-431-2022, https://doi.org/10.5194/nhess-22-431-2022, 2022
Short summary
Short summary
Characterizing extreme wave environments caused by tropical cyclones in the Caribbean Sea near Guadeloupe is difficult because cyclones rarely pass near the location of interest. STM-E (space-time maxima and exposure) model utilizes wave data during cyclones on a spatial neighbourhood. Long-duration wave data generated from a database of synthetic tropical cyclones are used to evaluate the performance of STM-E. Results indicate STM-E provides estimates with small bias and realistic uncertainty.
Ioannis A. Daglis, Loren C. Chang, Sergio Dasso, Nat Gopalswamy, Olga V. Khabarova, Emilia Kilpua, Ramon Lopez, Daniel Marsh, Katja Matthes, Dibyendu Nandy, Annika Seppälä, Kazuo Shiokawa, Rémi Thiéblemont, and Qiugang Zong
Ann. Geophys., 39, 1013–1035, https://doi.org/10.5194/angeo-39-1013-2021, https://doi.org/10.5194/angeo-39-1013-2021, 2021
Short summary
Short summary
We present a detailed account of the science programme PRESTO (PREdictability of the variable Solar–Terrestrial cOupling), covering the period 2020 to 2024. PRESTO was defined by a dedicated committee established by SCOSTEP (Scientific Committee on Solar-Terrestrial Physics). We review the current state of the art and discuss future studies required for the most effective development of solar–terrestrial physics.
Davide Zanchettin, Sara Bruni, Fabio Raicich, Piero Lionello, Fanny Adloff, Alexey Androsov, Fabrizio Antonioli, Vincenzo Artale, Eugenio Carminati, Christian Ferrarin, Vera Fofonova, Robert J. Nicholls, Sara Rubinetti, Angelo Rubino, Gianmaria Sannino, Giorgio Spada, Rémi Thiéblemont, Michael Tsimplis, Georg Umgiesser, Stefano Vignudelli, Guy Wöppelmann, and Susanna Zerbini
Nat. Hazards Earth Syst. Sci., 21, 2643–2678, https://doi.org/10.5194/nhess-21-2643-2021, https://doi.org/10.5194/nhess-21-2643-2021, 2021
Short summary
Short summary
Relative sea level in Venice rose by about 2.5 mm/year in the past 150 years due to the combined effect of subsidence and mean sea-level rise. We estimate the likely range of mean sea-level rise in Venice by 2100 due to climate changes to be between about 10 and 110 cm, with an improbable yet possible high-end scenario of about 170 cm. Projections of subsidence are not available, but historical evidence demonstrates that they can increase the hazard posed by climatically induced sea-level rise.
Rémi Thiéblemont, Gonéri Le Cozannet, Jérémy Rohmer, Alexandra Toimil, Moisés Álvarez-Cuesta, and Iñigo J. Losada
Nat. Hazards Earth Syst. Sci., 21, 2257–2276, https://doi.org/10.5194/nhess-21-2257-2021, https://doi.org/10.5194/nhess-21-2257-2021, 2021
Short summary
Short summary
Sea level rise and its acceleration are projected to aggravate coastal erosion over the 21st century. Resulting shoreline projections are deeply uncertain, however, which constitutes a major challenge for coastal planning and management. Our work presents a new extra-probabilistic framework to develop future shoreline projections and shows that deep uncertainties could be drastically reduced by better constraining sea level projections and improving coastal impact models.
Gonéri Le Cozannet, Déborah Idier, Marcello de Michele, Yoann Legendre, Manuel Moisan, Rodrigo Pedreros, Rémi Thiéblemont, Giorgio Spada, Daniel Raucoules, and Ywenn de la Torre
Nat. Hazards Earth Syst. Sci., 21, 703–722, https://doi.org/10.5194/nhess-21-703-2021, https://doi.org/10.5194/nhess-21-703-2021, 2021
Short summary
Short summary
Chronic flooding occurring at high tides under calm weather conditions is an early impact of sea-level rise. This hazard is a reason for concern on tropical islands, where coastal infrastructure is commonly located in low-lying areas. We focus here on the Guadeloupe archipelago, in the French Antilles, where chronic flood events have been reported for about 10 years. We show that the number of such events will increase drastically over the 21st century under continued growth of CO2 emissions.
Jeremy Rohmer, Pierre Gehl, Marine Marcilhac-Fradin, Yves Guigueno, Nadia Rahni, and Julien Clément
Nat. Hazards Earth Syst. Sci., 20, 1267–1285, https://doi.org/10.5194/nhess-20-1267-2020, https://doi.org/10.5194/nhess-20-1267-2020, 2020
Short summary
Short summary
Fragility curves (FCs) are key tools for seismic probabilistic safety assessments that are performed at the level of the nuclear power plant (NPP). These statistical methods relate the probabilistic seismic hazard loading at the given site to the required performance of the NPP safety functions. In the present study, we investigate how the tools of
non-stationary extreme value analysis can be used to model in a flexible manner the FCs for NPP.
Long Jiang, Theo Gerkema, Déborah Idier, Aimée B. A. Slangen, and Karline Soetaert
Ocean Sci., 16, 307–321, https://doi.org/10.5194/os-16-307-2020, https://doi.org/10.5194/os-16-307-2020, 2020
Short summary
Short summary
A model downscaling approach is used to investigate the effects of sea-level rise (SLR) on local tides. Results indicate that SLR induces larger increases in tidal amplitude and stronger nonlinear tidal distortion in the bay compared to the adjacent shelf sea. SLR can also change shallow-water tidal asymmetry and influence the direction and magnitude of bed-load sediment transport. The model downscaling approach is widely applicable for local SLR projections in estuaries and coastal bays.
T.J. B. Dewez, D. Girardeau-Montaut, C. Allanic, and J. Rohmer
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 799–804, https://doi.org/10.5194/isprs-archives-XLI-B5-799-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-799-2016, 2016
J. P. Naulin, D. Moncoulon, S. Le Roy, R. Pedreros, D. Idier, and C. Oliveros
Nat. Hazards Earth Syst. Sci., 16, 195–207, https://doi.org/10.5194/nhess-16-195-2016, https://doi.org/10.5194/nhess-16-195-2016, 2016
Short summary
Short summary
A model has been developed in order to estimate insurance-related losses caused by coastal flooding in France. It aims to identify the potential flood-impacted sectors and the subsequent insured losses a few days after the occurrence of a storm surge event on any part of the French coast. This system shows satisfactory results in the estimation of the losses related to Xynthia storm surge, which was used for the model's calibration.
T. Bulteau, D. Idier, J. Lambert, and M. Garcin
Nat. Hazards Earth Syst. Sci., 15, 1135–1147, https://doi.org/10.5194/nhess-15-1135-2015, https://doi.org/10.5194/nhess-15-1135-2015, 2015
Short summary
Short summary
Extreme value analyses of sea-level using tide-gauge measurements usually suffer from limited effective duration of observation which can result in large uncertainties, especially when outliers are present. To tackle this issue, a Bayesian MCMC method is developed integrating historical data in extreme sea-level analyses. A real case study shows a significant improvement in return values estimation and the usefulness of the Bayesian framework to predict future annual exceedance probabilities.
J. Rohmer and T. Dewez
Nat. Hazards Earth Syst. Sci., 15, 349–362, https://doi.org/10.5194/nhess-15-349-2015, https://doi.org/10.5194/nhess-15-349-2015, 2015
Short summary
Short summary
This article uses summary statistics of spatial point process theory to study the spatio-temporal pattern of a rockfall inventory recorded with repeated terrestrial laser scanning surveys at a chalk coastal cliff site in Normandy, France. This allows testing and quantifying the significance of geomorphological observations. From a spatial distribution perspective, behaviours of small and large scars cannot be considered equivalent, suggesting that erosion processes and triggering factors differ.
G. Le Cozannet, M. Bagni, P. Thierry, C. Aragno, and E. Kouokam
Nat. Hazards Earth Syst. Sci., 14, 1591–1598, https://doi.org/10.5194/nhess-14-1591-2014, https://doi.org/10.5194/nhess-14-1591-2014, 2014
D. Idier and A. Falqués
Adv. Geosci., 39, 55–60, https://doi.org/10.5194/adgeo-39-55-2014, https://doi.org/10.5194/adgeo-39-55-2014, 2014
P. Gehl, C. Quinet, G. Le Cozannet, E. Kouokam, and P. Thierry
Nat. Hazards Earth Syst. Sci., 13, 2409–2424, https://doi.org/10.5194/nhess-13-2409-2013, https://doi.org/10.5194/nhess-13-2409-2013, 2013
M. Neri, G. Le Cozannet, P. Thierry, C. Bignami, and J. Ruch
Nat. Hazards Earth Syst. Sci., 13, 1929–1943, https://doi.org/10.5194/nhess-13-1929-2013, https://doi.org/10.5194/nhess-13-1929-2013, 2013
G. Le Cozannet, M. Garcin, T. Bulteau, C. Mirgon, M. L. Yates, M. Méndez, A. Baills, D. Idier, and C. Oliveros
Nat. Hazards Earth Syst. Sci., 13, 1209–1227, https://doi.org/10.5194/nhess-13-1209-2013, https://doi.org/10.5194/nhess-13-1209-2013, 2013
Related subject area
Sea, Ocean and Coastal Hazards
Observations of extreme wave runup events on the US Pacific Northwest coast
Warning water level determination and its spatial distribution in coastal areas of China
A global open-source database of flood-protection levees on river deltas (openDELvE)
Hazard assessment and hydrodynamic, morphodynamic, and hydrological response to Hurricane Gamma and Hurricane Delta on the northern Yucatán Peninsula
Estimating dune erosion at the regional scale using a meta-model based on neural networks
Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands)
Multi-hazard analysis of flood and tsunamis on the western Mediterranean coast of Turkey
Importance of non-stationary analysis for assessing extreme sea levels under sea level rise
Wind-wave characteristics and extremes along the Emilia-Romagna coast
Identification and ranking of subaerial volcanic tsunami hazard sources in Southeast Asia
Modelling geographical and built-environment attributes as predictors of human vulnerability during tsunami evacuations: a multi-case-study and paths to improvement
Modelling the sequential earthquake–tsunami response of coastal road embankment infrastructure
Historical tsunamis of Taiwan in the 18th century: the 1781 Jiateng Harbor flooding and 1782 tsunami event
Multilevel multifidelity Monte Carlo methods for assessing uncertainty in coastal flooding
Reconstruction of wind and surge of the 1906 storm tide at the German North Sea coast
Developing a framework for the assessment of current and future flood risk in Venice, Italy
Storm surge hazard over Bengal delta: a probabilistic–deterministic modelling approach
Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: the case of Shanghai
Detecting anomalous sea-level states in North Sea tide gauge data using of autoassociative Neural Network
Generating reliable estimates of tropical-cyclone-induced coastal hazards along the Bay of Bengal for current and future climates using synthetic tracks
Potential tsunami hazard of the southern Vanuatu Subduction Zone: tectonics, case study of the Matthew Island tsunami of 10 February 2021 and implication in regional hazard assessment
The role of heat wave events in the occurrence and persistence of thermal stratification in the southern North Sea
Tsunami hazard in Lombok and Bali, Indonesia, due to the Flores back-arc thrust
Characteristics of consecutive tsunamis and resulting tsunami behaviors in southern Taiwan induced by the doublet earthquakes on 26 December 2006
Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers
Coastal extreme sea levels in the Caribbean Sea induced by tropical cyclones
Rapid tsunami force prediction by mode-decomposition-based surrogate modeling
Characteristics of two tsunamis generated by successive Mw 7.4 and Mw 8.1 earthquakes in the Kermadec Islands on 4 March 2021
Mesoscale simulation of typhoon-generated storm surge: methodology and Shanghai case study
Submarine landslide source modeling using the 3D slope stability analysis method for the 2018 Palu, Sulawesi, tsunami
Characteristics and beach safety knowledge of beachgoers on unpatrolled surf beaches in Australia
Robust uncertainty quantification of the volume of tsunami ionospheric holes for the 2011 Tohoku-Oki earthquake: towards low-cost satellite-based tsunami warning systems
A coupled modelling system to assess the effect of Mediterranean storms under climate change
Correlation of wind waves and sea level variations on the coast of the seasonally ice-covered Gulf of Finland
The role of morphodynamics in predicting coastal flooding from storms on a dissipative beach with sea level rise conditions
Multilayer modelling of waves generated by explosive subaqueous volcanism
Time-dependent Probabilistic Tsunami Hazard Analysis for Western Sumatra, Indonesia, Using Space-Time Earthquake Rupture Modelling and Stochastic Source Scenarios
Statistical estimation of spatial wave extremes for tropical cyclones from small data samples: validation of the STM-E approach using long-term synthetic cyclone data for the Caribbean Sea
Development of damage curves for buildings near La Rochelle during storm Xynthia based on insurance claims and hydrodynamic simulations
Investigating the interaction of waves and river discharge during compound flooding at Breede Estuary, South Africa
Still normal? Near-real-time evaluation of storm surge events in the context of climate change
The influence of infragravity waves on the safety of coastal defences: a case study of the Dutch Wadden Sea
Assessment of potential beach erosion risk and impact of coastal zone development: a case study on Bongpo–Cheonjin Beach
Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (southern Italy)
Probabilistic, high-resolution tsunami predictions in northern Cascadia by exploiting sequential design for efficient emulation
An Interdisciplinary Agent-based Evacuation Model: Integrating Natural Environment, Built environment, and Social System for Community Preparedness and Resilience
Towards using state-of-the-art climate models to help constrain estimates of unprecedented UK storm surges
Review article: Extreme marine events revealed by lagoonal sedimentary records in Ghar El Melh during the last 2500 years in the northeast of Tunisia
Exploring the partial use of the Mo.S.E. system as effective adaptation to rising flood frequency of Venice
Variable-resolution building exposure modelling for earthquake and tsunami scenario-based risk assessment: an application case in Lima, Peru
Chuan Li, H. Tuba Özkan-Haller, Gabriel García Medina, Robert A. Holman, Peter Ruggiero, Treena M. Jensen, David B. Elson, and William R. Schneider
Nat. Hazards Earth Syst. Sci., 23, 107–126, https://doi.org/10.5194/nhess-23-107-2023, https://doi.org/10.5194/nhess-23-107-2023, 2023
Short summary
Short summary
In this work, we examine a set of observed extreme, non-earthquake-related and non-landslide-related wave runup events. Runup events with similar characteristics have previously been attributed to trapped waves, atmospheric disturbances, and abrupt breaking of long waves. However, we find that none of these mechanisms were likely at work in the observations we examined. We show that instead, these runup events were more likely due to energetic growth of bound infragravity waves.
Shan Liu, Xianwu Shi, Qiang Liu, Jun Tan, Yuxi Sun, Qingrong Liu, and Haoshuang Guo
Nat. Hazards Earth Syst. Sci., 23, 127–138, https://doi.org/10.5194/nhess-23-127-2023, https://doi.org/10.5194/nhess-23-127-2023, 2023
Short summary
Short summary
This study proposes a quantitative method for the determination of warning water levels. The proposed method is a multidimensional scale, centered on the consideration of various factors that characterize various coastlines. The implications of our study are not only scientific, as we provide a method for water level determination that is rooted in the scientific method (and reproducible across various contexts beyond China), but they are also deeply practical.
Jaap H. Nienhuis, Jana R. Cox, Joey O'Dell, Douglas A. Edmonds, and Paolo Scussolini
Nat. Hazards Earth Syst. Sci., 22, 4087–4101, https://doi.org/10.5194/nhess-22-4087-2022, https://doi.org/10.5194/nhess-22-4087-2022, 2022
Short summary
Short summary
Humans build levees to protect themselves against floods. We need to know where they are to correctly predict flooding, for example from sea level rise. Here we have looked through documents to find levees, and checked that they exist using satellite imagery. We developed a global levee map, available at www.opendelve.eu, and we found that 24 % of people in deltas are protected by levees.
Alec Torres-Freyermuth, Gabriela Medellín, Jorge A. Kurczyn, Roger Pacheco-Castro, Jaime Arriaga, Christian M. Appendini, María Eugenia Allende-Arandía, Juan A. Gómez, Gemma L. Franklin, and Jorge Zavala-Hidalgo
Nat. Hazards Earth Syst. Sci., 22, 4063–4085, https://doi.org/10.5194/nhess-22-4063-2022, https://doi.org/10.5194/nhess-22-4063-2022, 2022
Short summary
Short summary
Barrier islands in tropical regions are prone to coastal flooding and erosion during hurricane events. The Yucatán coast was impacted by hurricanes Gamma and Delta. Inner shelf, coastal, and inland observations were acquired. Beach morphology changes show alongshore gradients. Flooding occurred on the back barrier due to heavy inland rain and the coastal aquifer's confinement. Modeling systems failed to reproduce the coastal hydrodynamic response due to uncertainties in the boundary conditions.
Panagiotis Athanasiou, Ap van Dongeren, Alessio Giardino, Michalis Vousdoukas, Jose A. A. Antolinez, and Roshanka Ranasinghe
Nat. Hazards Earth Syst. Sci., 22, 3897–3915, https://doi.org/10.5194/nhess-22-3897-2022, https://doi.org/10.5194/nhess-22-3897-2022, 2022
Short summary
Short summary
Sandy dunes protect the hinterland from coastal flooding during storms. Thus, models that can efficiently predict dune erosion are critical for coastal zone management and early warning systems. Here we develop such a model for the Dutch coast based on machine learning techniques, allowing for dune erosion estimations in a matter of seconds relative to available computationally expensive models. Validation of the model against benchmark data and observations shows good agreement.
María Teresa Pedrosa-González, José Manuel González-Vida, Jesús Galindo-Záldivar, Sergio Ortega, Manuel Jesús Castro, David Casas, and Gemma Ercilla
Nat. Hazards Earth Syst. Sci., 22, 3839–3858, https://doi.org/10.5194/nhess-22-3839-2022, https://doi.org/10.5194/nhess-22-3839-2022, 2022
Short summary
Short summary
The L-ML-HySEA (Landslide Multilayer Hyperbolic Systems and Efficient Algorithms) model of the tsunami triggered by the Storfjorden LS-1 landslide provides new insights into the sliding mechanism and bathymetry controlling the propagation, amplitude values and shoaling effects as well as coastal impact times. This case study provides new perspectives on tsunami hazard assessment in polar margins, where global climatic change and its related ocean warming may contribute to landslide trigger.
Cuneyt Yavuz, Kutay Yilmaz, and Gorkem Onder
Nat. Hazards Earth Syst. Sci., 22, 3725–3736, https://doi.org/10.5194/nhess-22-3725-2022, https://doi.org/10.5194/nhess-22-3725-2022, 2022
Short summary
Short summary
Even if the coincidence of flood and tsunami hazards may be experienced once in a blue moon, it should also be investigated due to the uncertainty of the time of occurrence of these natural hazards. The objective of this study is to reveal a statistical methodology to evaluate the aggregate potential hazard levels due to flood hazards with the presence of earthquake-triggered tsunamis. The proposed methodology is applied to Fethiye city, located on the Western Mediterranean coast of Turkey.
Damiano Baldan, Elisa Coraci, Franco Crosato, Maurizio Ferla, Andrea Bonometto, and Sara Morucci
Nat. Hazards Earth Syst. Sci., 22, 3663–3677, https://doi.org/10.5194/nhess-22-3663-2022, https://doi.org/10.5194/nhess-22-3663-2022, 2022
Short summary
Short summary
Extreme-event analysis is widely used to provide information for the design of coastal protection structures. Non-stationarity due to sea level rise can affect such estimates. Using different methods on a long time series of sea level data, we show that estimates of the magnitude of extreme events in the future can be inexact due to relative sea level rise. Thus, considering non-stationarity is important when analyzing extreme-sea-level events.
Umesh Pranavam Ayyappan Pillai, Nadia Pinardi, Ivan Federico, Salvatore Causio, Francesco Trotta, Silvia Unguendoli, and Andrea Valentini
Nat. Hazards Earth Syst. Sci., 22, 3413–3433, https://doi.org/10.5194/nhess-22-3413-2022, https://doi.org/10.5194/nhess-22-3413-2022, 2022
Short summary
Short summary
The study presents the application of high-resolution coastal modelling for wave hindcasting on the Emilia-Romagna coastal belt. The generated coastal databases which provide an understanding of the prevailing wind-wave characteristics can aid in predicting coastal impacts.
Edgar U. Zorn, Aiym Orynbaikyzy, Simon Plank, Andrey Babeyko, Herlan Darmawan, Ismail Fata Robbany, and Thomas R. Walter
Nat. Hazards Earth Syst. Sci., 22, 3083–3104, https://doi.org/10.5194/nhess-22-3083-2022, https://doi.org/10.5194/nhess-22-3083-2022, 2022
Short summary
Short summary
Tsunamis caused by volcanoes are a challenge for warning systems as they are difficult to predict and detect. In Southeast Asia there are many active volcanoes close to the coast, so it is important to identify the most likely volcanoes to cause tsunamis in the future. For this purpose, we developed a point-based score system, allowing us to rank volcanoes by the hazard they pose. The results may be used to improve local monitoring and preparedness in the affected areas.
Jorge León, Alejandra Gubler, and Alonso Ogueda
Nat. Hazards Earth Syst. Sci., 22, 2857–2878, https://doi.org/10.5194/nhess-22-2857-2022, https://doi.org/10.5194/nhess-22-2857-2022, 2022
Short summary
Short summary
Our research focuses on how the geophysical characteristics of coastal cities can determine evacuees' vulnerability during a tsunami evacuation. We identify, analyse, and rank some of those essential characteristics by examining seven case studies in Chile through computer-based inundation, evacuation, and statistical regressive modelling. These results could lead to urban planning guidelines to enhance future evacuations and increase resilience to global tsunamis.
Azucena Román-de la Sancha, Rodolfo Silva, Omar S. Areu-Rangel, Manuel Gerardo Verduzco-Zapata, Edgar Mendoza, Norma Patricia López-Acosta, Alexandra Ossa, and Silvia García
Nat. Hazards Earth Syst. Sci., 22, 2589–2609, https://doi.org/10.5194/nhess-22-2589-2022, https://doi.org/10.5194/nhess-22-2589-2022, 2022
Short summary
Short summary
Transport networks in coastal urban areas are vulnerable to seismic events, with damage likely due to both ground motions and tsunami loading. The paper presents an approach that captures the earthquake–tsunami effects on transport infrastructure in a coastal area, taking into consideration the combined strains of the two events. The model is applied to a case in Manzanillo, Mexico, using ground motion records of the 1995 earthquake–tsunami event.
Tien-Chi Liu, Tso-Ren Wu, and Shu-Kun Hsu
Nat. Hazards Earth Syst. Sci., 22, 2517–2530, https://doi.org/10.5194/nhess-22-2517-2022, https://doi.org/10.5194/nhess-22-2517-2022, 2022
Short summary
Short summary
The findings from historical reports and numerical studies suggest the 1781 Jiateng Harbor flooding and the 1782 tsunami should be two independent incidents. Local tsunamis generated in southwest Taiwan could be responsible for the 1781 flooding, while the existence of the 1782 tsunami remains doubtful. With the documents of a storm event on 22 May 1782, the possibility that the significant water level of the 1782 tsunami was caused by storm surges or multiple hazards could not be ignored.
Mariana C. A. Clare, Tim W. B. Leijnse, Robert T. McCall, Ferdinand L. M. Diermanse, Colin J. Cotter, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 22, 2491–2515, https://doi.org/10.5194/nhess-22-2491-2022, https://doi.org/10.5194/nhess-22-2491-2022, 2022
Short summary
Short summary
Assessing uncertainty is computationally expensive because it requires multiple runs of expensive models. We take the novel approach of assessing uncertainty from coastal flooding using a multilevel multifidelity (MLMF) method which combines the efficiency of less accurate models with the accuracy of more expensive models at different resolutions. This significantly reduces the computational cost but maintains accuracy, making previously unfeasible real-world studies possible.
Elke Magda Inge Meyer, Ralf Weisse, Iris Grabemann, Birger Tinz, and Robert Scholz
Nat. Hazards Earth Syst. Sci., 22, 2419–2432, https://doi.org/10.5194/nhess-22-2419-2022, https://doi.org/10.5194/nhess-22-2419-2022, 2022
Short summary
Short summary
The severe storm tide of 13 March 1906 is still one of the most severe storm events for the East Frisian coast. Water levels from this event are considered for designing dike lines. For the first time, we investigate this event with a hydrodynamic model by forcing with atmospheric data from 147 ensemble members from century reanalysis projects and a manual reconstruction of the synoptic situation. Water levels were notably high due to a coincidence of high spring tides and high surge.
Julius Schlumberger, Christian Ferrarin, Sebastiaan N. Jonkman, Manuel Andres Diaz Loaiza, Alessandro Antonini, and Sandra Fatorić
Nat. Hazards Earth Syst. Sci., 22, 2381–2400, https://doi.org/10.5194/nhess-22-2381-2022, https://doi.org/10.5194/nhess-22-2381-2022, 2022
Short summary
Short summary
Flooding has serious impacts on the old town of Venice. This paper presents a framework combining a flood model with a flood-impact model to support improving protection against future floods in Venice despite the recently built MOSE barrier. Applying the framework to seven plausible flood scenarios, it was found that individual protection has a significant damage-mediating effect if the MOSE barrier does not operate as anticipated. Contingency planning thus remains important in Venice.
Md Jamal Uddin Khan, Fabien Durand, Kerry Emanuel, Yann Krien, Laurent Testut, and A. K. M. Saiful Islam
Nat. Hazards Earth Syst. Sci., 22, 2359–2379, https://doi.org/10.5194/nhess-22-2359-2022, https://doi.org/10.5194/nhess-22-2359-2022, 2022
Short summary
Short summary
Cyclonic storm surges constitute a major threat to lives and properties along the vast coastline of the Bengal delta. From a combination of cyclone and storm surge modelling, we present a robust probabilistic estimate of the storm surge flooding hazard under the current climate. The estimated extreme water levels vary regionally, and the inland flooding is strongly controlled by the embankments. More than 1/10 of the coastal population is currently exposed to 50-year return period flooding.
Hanqing Xu, Zhan Tian, Laixiang Sun, Qinghua Ye, Elisa Ragno, Jeremy Bricker, Ganquan Mao, Jinkai Tan, Jun Wang, Qian Ke, Shuai Wang, and Ralf Toumi
Nat. Hazards Earth Syst. Sci., 22, 2347–2358, https://doi.org/10.5194/nhess-22-2347-2022, https://doi.org/10.5194/nhess-22-2347-2022, 2022
Short summary
Short summary
A hydrodynamic model and copula methodology were used to set up a joint distribution of the peak water level and the inland rainfall during tropical cyclone periods, and to calculate the marginal contributions of the individual drivers. The results indicate that the relative sea level rise has significantly amplified the peak water level. The astronomical tide is the leading driver, followed by the contribution from the storm surge.
Kathrin Wahle, B. Emil Vassilev Stanev, and Joanna Staneva
EGUsphere, https://doi.org/10.5194/egusphere-2022-539, https://doi.org/10.5194/egusphere-2022-539, 2022
Short summary
Short summary
Knowledge of what causes maximum water levels is often key in coastal management. Processes, such as strom surge and atmospheric forcing alter the predicted tide. Whilst most of these processes are modelled in present-day ocean forecasting, still there is a need for better understanding situations where modelled and observed water levels deviate from eachother. Here we will use machine learning to detect such anomalies within a network of sea level observations in the North Sea.
Tim Willem Bart Leijnse, Alessio Giardino, Kees Nederhoff, and Sofia Caires
Nat. Hazards Earth Syst. Sci., 22, 1863–1891, https://doi.org/10.5194/nhess-22-1863-2022, https://doi.org/10.5194/nhess-22-1863-2022, 2022
Short summary
Short summary
Deriving reliable estimates of design conditions resulting from tropical cyclones is a challenge of high relevance to coastal engineering. Here, having few historical observations is overcome by using the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE) to create thousands of synthetic realizations, representative of 1000 years of tropical cyclone activity for the Bay of Bengal. The use of synthetic tracks is shown to provide more reliable wind speed, storm surge and wave estimates.
Jean Roger, Bernard Pelletier, Aditya Gusman, William Power, Xiaoming Wang, David Burbidge, and Maxime Duphil
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-157, https://doi.org/10.5194/nhess-2022-157, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
On 10 February 2021 a magnitude 7.7 earthquake occurring at the southernmost part of the Vanuatu subduction zone triggered a regional tsunami that was recorded on many coastal gauges and DART stations of the southwest Pacific region. Beginning with a review of the tectonic setup and its implication in terms of tsunami generation in the region, this study aims to show our ability to reproduce a small tsunami with different types of rupture model, and to discuss a larger magnitude 8.2 scenario.
Wei Chen, Joanna Staneva, Sebastian Grayek, Johannes Schulz-Stellenfleth, and Jens Greinert
Nat. Hazards Earth Syst. Sci., 22, 1683–1698, https://doi.org/10.5194/nhess-22-1683-2022, https://doi.org/10.5194/nhess-22-1683-2022, 2022
Short summary
Short summary
This study links the occurrence and persistence of density stratification in the southern North Sea to the increased number of extreme marine heat waves. The study further identified the role of the cold spells at the early stage of a year to the intensity of thermal stratification in summer. In a broader context, the research will have fundamental significance for further discussion of the secondary effects of heat wave events, such as in ecosystems, fisheries, and sediment dynamics.
Raquel P. Felix, Judith A. Hubbard, Kyle E. Bradley, Karen H. Lythgoe, Linlin Li, and Adam D. Switzer
Nat. Hazards Earth Syst. Sci., 22, 1665–1682, https://doi.org/10.5194/nhess-22-1665-2022, https://doi.org/10.5194/nhess-22-1665-2022, 2022
Short summary
Short summary
The Flores Thrust lies along the north coasts of Bali and Lombok. We model how an earthquake on this fault could trigger a tsunami that would impact the regional capital cities of Mataram and Denpasar. We show that for 3–5 m of slip on the fault (a Mw 7.5–7.9+ earthquake), the cities would experience a wave ca. 1.6–2.7 and ca. 0.6–1.4 m high, arriving in < 9 and ca. 23–27 min, respectively. They would also experience subsidence of 20–40 cm, resulting in long-term exposure to coastal hazards.
An-Chi Cheng, Anawat Suppasri, Kwanchai Pakoksung, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-126, https://doi.org/10.5194/nhess-2022-126, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
Consecutive earthquakes occurred offshore southern Taiwan on the 26 December 2006. This event revealed unusual tsunami generation, propagation, as well as unexpected consequences at the coast (i.e., amplified waves and prolonged durations). This study aims to elucidate the tsunami source characteristics, and the important behaviors responsible for tsunami hazards in insular countries of Taiwan such as wave trapping, edge waves, and shelf resonance.
Keighobad Jafarzadegan, David F. Muñoz, Hamed Moftakhari, Joseph L. Gutenson, Gaurav Savant, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 22, 1419–1435, https://doi.org/10.5194/nhess-22-1419-2022, https://doi.org/10.5194/nhess-22-1419-2022, 2022
Short summary
Short summary
The high population settled in coastal regions and the potential damage imposed by coastal floods highlight the need for improving coastal flood hazard assessment techniques. This study introduces a topography-based approach for rapid estimation of flood hazard areas in the Savannah River delta. Our validation results demonstrate that, besides the high efficiency of the proposed approach, the estimated areas accurately overlap with reference flood maps.
Ariadna Martín, Angel Amores, Alejandro Orfila, Tim Toomey, and Marta Marcos
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-120, https://doi.org/10.5194/nhess-2022-120, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
Hurricanes are among the potentially most hazardous phenomena affecting the coasts of the Caribbean Sea. This work simulates the coastal hazards, in terms of sea surface elevation and waves, originated by the passage of hurricanes in the Caribbean. A set of 1000 events have been simulated, obtained from a set of synthetic cyclones that are consistent with present-day climate. Given the large number of hurricanes used, robust values of extreme sea levels and waves are computed along the coasts.
Kenta Tozato, Shinsuke Takase, Shuji Moriguchi, Kenjiro Terada, Yu Otake, Yo Fukutani, Kazuya Nojima, Masaaki Sakuraba, and Hiromu Yokosu
Nat. Hazards Earth Syst. Sci., 22, 1267–1285, https://doi.org/10.5194/nhess-22-1267-2022, https://doi.org/10.5194/nhess-22-1267-2022, 2022
Short summary
Short summary
This study presents a novel framework for rapid tsunami force predictions through the application of mode-decomposition-based surrogate modeling with 2D–3D coupled numerical simulations. A numerical example is presented to demonstrate the applicability of the proposed framework to one of the tsunami-affected areas during the Great East Japan Earthquake of 2011.
Yuchen Wang, Mohammad Heidarzadeh, Kenji Satake, and Gui Hu
Nat. Hazards Earth Syst. Sci., 22, 1073–1082, https://doi.org/10.5194/nhess-22-1073-2022, https://doi.org/10.5194/nhess-22-1073-2022, 2022
Short summary
Short summary
Tsunami waveforms contain the features of its source, propagation path, and local topography. On 4 March 2021, two tsunamis were generated by earthquakes in the Kermadec Islands, New Zealand, within 2 h. This rare case gives us a valuable opportunity to study the characteristics of two tsunamis. We analyzed the records of two tsunamis at tide gauges with spectral analysis tools. It is found that two tsunamis superpose during the few hours after the arrival of the second tsunami.
Shuyun Dong, Wayne J. Stephenson, Sarah Wakes, Zhongyuan Chen, and Jianzhong Ge
Nat. Hazards Earth Syst. Sci., 22, 931–945, https://doi.org/10.5194/nhess-22-931-2022, https://doi.org/10.5194/nhess-22-931-2022, 2022
Short summary
Short summary
Mesoscale simulation provides a general approach that could be implemented to fulfill the purpose of planning and has relatively low requirements for computation time and data while still providing reasonable accuracy. The method is generally applicable to all coastal cities around the world for examining the effect of future climate change on typhoon-generated storm surge even where historical observed data are inadequate or not available.
Chatuphorn Somphong, Anawat Suppasri, Kwanchai Pakoksung, Tsuyoshi Nagasawa, Yuya Narita, Ryunosuke Tawatari, Shohei Iwai, Yukio Mabuchi, Saneiki Fujita, Shuji Moriguchi, Kenjiro Terada, Cipta Athanasius, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 22, 891–907, https://doi.org/10.5194/nhess-22-891-2022, https://doi.org/10.5194/nhess-22-891-2022, 2022
Short summary
Short summary
The majority of past research used hypothesized landslides to simulate tsunamis, but they were still unable to properly explain the observed data. In this study, submarine landslides were simulated by using a slope-failure-theory-based numerical model for the first time. The findings were verified with post-event field observational data. They indicated the potential presence of submarine landslide sources in the southern part of the bay and were consistent with the observational tsunamis.
Lea Uebelhoer, William Koon, Mitchell D. Harley, Jasmin C. Lawes, and Robert W. Brander
Nat. Hazards Earth Syst. Sci., 22, 909–926, https://doi.org/10.5194/nhess-22-909-2022, https://doi.org/10.5194/nhess-22-909-2022, 2022
Short summary
Short summary
Beachgoers at unpatrolled Australian beaches were surveyed to gain an understanding of their demographics, beach safety knowledge, and behaviour. Most visited unpatrolled beaches out of convenience and because they wanted to visit a quiet location. Despite being infrequent beachgoers, with poor swimming and hazard identification skills, most intended to enter the water. Authorities should go beyond the
swim between the flagssafety message, as people will always swim at unpatrolled beaches.
Ryuichi Kanai, Masashi Kamogawa, Toshiyasu Nagao, Alan Smith, and Serge Guillas
Nat. Hazards Earth Syst. Sci., 22, 849–868, https://doi.org/10.5194/nhess-22-849-2022, https://doi.org/10.5194/nhess-22-849-2022, 2022
Short summary
Short summary
The air pressure created by a tsunami causes a depression in the electron density in the ionosphere. The depression is measured at sparsely distributed, moving GPS satellite locations. We provide an estimate of the volume of the depression. When applied to the 2011 Tohoku-Oki earthquake in Japan, our method can warn of a tsunami event within 15 min of the earthquake, even when using only 5 % of the data. Thus satellite-based warnings could be implemented across the world with our approach.
Riccardo Alvise Mel, Teresa Lo Feudo, Massimo Miceli, Salvatore Sinopoli, and Mario Maiolo
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-67, https://doi.org/10.5194/nhess-2022-67, 2022
Manuscript not accepted for further review
Short summary
Short summary
In this work we present a coupled modelling system to compute the wind climate and the hydrodynamic two-dimensional field in coastal areas, with particular reference to the Marine Experimental Station of Capo Tirone (Italy). We combined sea level rise and extreme storm projections with the most recent georeferenced territorial data.
Milla M. Johansson, Jan-Victor Björkqvist, Jani Särkkä, Ulpu Leijala, and Kimmo K. Kahma
Nat. Hazards Earth Syst. Sci., 22, 813–829, https://doi.org/10.5194/nhess-22-813-2022, https://doi.org/10.5194/nhess-22-813-2022, 2022
Short summary
Short summary
We analysed the correlation of sea level and wind waves at a coastal location in the Gulf of Finland using tide gauge data, wave measurements, and wave simulations. The correlation was positive for southwesterly winds and negative for northeasterly winds. Probabilities of high total water levels (sea level + wave crest) are underestimated if sea level and waves are considered independent. Suitably chosen copula functions can account for the dependence.
Jairo E. Cueto, Luis J. Otero Díaz, Silvio R. Ospino-Ortiz, and Alec Torres-Freyermuth
Nat. Hazards Earth Syst. Sci., 22, 713–728, https://doi.org/10.5194/nhess-22-713-2022, https://doi.org/10.5194/nhess-22-713-2022, 2022
Short summary
Short summary
We investigate the importance of morphodynamics on flooding estimation during storms with sea level rise conditions on a microtidal beach. XBeach and SWAN were the numerical models used to test several case studies. The results indicate that numerical modeling of flooding should be approached by considering morphodynamics; ignoring them can underestimate flooding by ~ 15 %. Moreover, beach erosion and flooding are intensified by sea level rise and high tides in ~ 69 % and ~ 65 %, respectively.
Matthew W. Hayward, Colin N. Whittaker, Emily M. Lane, William L. Power, Stéphane Popinet, and James D. L. White
Nat. Hazards Earth Syst. Sci., 22, 617–637, https://doi.org/10.5194/nhess-22-617-2022, https://doi.org/10.5194/nhess-22-617-2022, 2022
Short summary
Short summary
Volcanic eruptions can produce tsunamis through multiple mechanisms. We present validation cases for a numerical method used in simulating waves caused by submarine explosions: a laboratory flume experiment and waves generated by explosions at field scale. We then demonstrate the use of the scheme for simulating analogous volcanic eruptions, illustrating the resulting wavefield. We show that this scheme models such dispersive sources more proficiently than standard tsunami models.
Ario Muhammad, Katsuichiro Goda, and Maximilian J. Werner
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-59, https://doi.org/10.5194/nhess-2022-59, 2022
Revised manuscript has not been submitted
Short summary
Short summary
This study develops a novel framework of time-dependent (TD) probabilistic tsunami hazard analysis (PTHA) combining a total of ≥ 100,000 spatiotemporal earthquakes (EQ) rupture models and 6,300 probabilistic tsunami simulations to evaluate the tsunami hazards and compare them with the time-independent (TI) PTHA results. The proposed model can capture the uncertainty of future TD tsunami hazards and produces slightly higher hazard estimates than the TI model for short-term periods (< 30 years).
Ryota Wada, Jeremy Rohmer, Yann Krien, and Philip Jonathan
Nat. Hazards Earth Syst. Sci., 22, 431–444, https://doi.org/10.5194/nhess-22-431-2022, https://doi.org/10.5194/nhess-22-431-2022, 2022
Short summary
Short summary
Characterizing extreme wave environments caused by tropical cyclones in the Caribbean Sea near Guadeloupe is difficult because cyclones rarely pass near the location of interest. STM-E (space-time maxima and exposure) model utilizes wave data during cyclones on a spatial neighbourhood. Long-duration wave data generated from a database of synthetic tropical cyclones are used to evaluate the performance of STM-E. Results indicate STM-E provides estimates with small bias and realistic uncertainty.
Manuel Andres Diaz Loaiza, Jeremy D. Bricker, Remi Meynadier, Trang Minh Duong, Rosh Ranasinghe, and Sebastiaan N. Jonkman
Nat. Hazards Earth Syst. Sci., 22, 345–360, https://doi.org/10.5194/nhess-22-345-2022, https://doi.org/10.5194/nhess-22-345-2022, 2022
Short summary
Short summary
Extratropical cyclones are one of the major causes of coastal floods in Europe and the world. Understanding the development process and the flooding of storm Xynthia, together with the damages that occurred during the storm, can help to forecast future losses due to other similar storms. In the present paper, an analysis of shallow water variables (flood depth, velocity, etc.) or coastal variables (significant wave height, energy flux, etc.) is done in order to develop damage curves.
Sunna Kupfer, Sara Santamaria-Aguilar, Lara van Niekerk, Melanie Lück-Vogel, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 22, 187–205, https://doi.org/10.5194/nhess-22-187-2022, https://doi.org/10.5194/nhess-22-187-2022, 2022
Short summary
Short summary
In coastal regions, flooding can occur from combined tides, storms, river discharge, and waves. Effects of waves are commonly neglected when assessing flooding, although these may strongly contribute to extreme water levels. We find that waves combined with tides and river discharge at Breede Estuary, South Africa, increased flood extent and depth and caused earlier flooding than when waves were neglected. This highlights the need to consider all major flood drivers in future flood assessments.
Xin Liu, Insa Meinke, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 22, 97–116, https://doi.org/10.5194/nhess-22-97-2022, https://doi.org/10.5194/nhess-22-97-2022, 2022
Short summary
Short summary
Storm surges represent a threat to low-lying coastal areas. In the aftermath of severe events, it is often discussed whether the events were unusual. Such information is not readily available from observations but needs contextualization with long-term statistics. An approach that provides such information in near real time was developed and implemented for the German coast. It is shown that information useful for public and scientific debates can be provided in near real time.
Christopher H. Lashley, Sebastiaan N. Jonkman, Jentsje van der Meer, Jeremy D. Bricker, and Vincent Vuik
Nat. Hazards Earth Syst. Sci., 22, 1–22, https://doi.org/10.5194/nhess-22-1-2022, https://doi.org/10.5194/nhess-22-1-2022, 2022
Short summary
Short summary
Many coastlines around the world have shallow foreshores (e.g. salt marshes and mudflats) that reduce storm waves and the risk of coastal flooding. However, most of the studies that tried to quantify this effect have excluded the influence of very long waves, which often dominate in shallow water. Our newly developed framework addresses this oversight and suggests that safety along these coastlines may be overestimated, since these very long waves are largely neglected in flood risk assessments.
Changbin Lim, Tae Kon Kim, Sahong Lee, Yoon Jeong Yeon, and Jung Lyul Lee
Nat. Hazards Earth Syst. Sci., 21, 3827–3842, https://doi.org/10.5194/nhess-21-3827-2021, https://doi.org/10.5194/nhess-21-3827-2021, 2021
Short summary
Short summary
This study aimed to quantitatively assess erosion risk. Methods for assessing each potential were proposed, and the corresponding erosion risk was calculated by introducing a combined potential erosion risk curve presenting the erosion consequence. In addition the method for verifying the risk was examined for the east coast of South Korea. We believe that our study makes a significant contribution to the literature and plays a key role in identifying methods that prevent erosion.
Gaia Mattei, Diana Di Luccio, Guido Benassai, Giorgio Anfuso, Giorgio Budillon, and Pietro Aucelli
Nat. Hazards Earth Syst. Sci., 21, 3809–3825, https://doi.org/10.5194/nhess-21-3809-2021, https://doi.org/10.5194/nhess-21-3809-2021, 2021
Short summary
Short summary
This study examines the characteristics of a destructive marine storm in the strongly inhabited coastal area of the Gulf of Naples, along the Italian coast of the Tyrrhenian Sea, which is highly vulnerable to marine storms due to the accelerated relative sea level rise trend and the increased anthropogenic impact on the coastal area. Finally, a first assessment of the return period of this event was evaluated using local press reports on damage to urban furniture and port infrastructures.
Dimitra M. Salmanidou, Joakim Beck, Peter Pazak, and Serge Guillas
Nat. Hazards Earth Syst. Sci., 21, 3789–3807, https://doi.org/10.5194/nhess-21-3789-2021, https://doi.org/10.5194/nhess-21-3789-2021, 2021
Short summary
Short summary
The potential of large-magnitude earthquakes in Cascadia poses a significant threat over a populous region of North America. We use statistical emulation to assess the probabilistic tsunami hazard from such events in the region of the city of Victoria, British Columbia. The emulators are built following a sequential design approach for information gain over the input space. To predict the hazard at coastal locations of the region, two families of potential seabed deformation are considered.
Chen Chen, Charles Koll, Haizhong Wang, and Michael Lindell
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-370, https://doi.org/10.5194/nhess-2021-370, 2021
Revised manuscript accepted for NHESS
Short summary
Short summary
This paper uses empirical data-based simulation to analyze how to evacuate efficiently from disasters. We find that departure delay time and evacuation decision have significant impacts on evacuation results. Evacuation results are more sensitive to walking speed, departure delay time, evacuation participation, and destinations than to other variables. This model can help authorities to prioritize resources for hazard education, community disaster preparedness, and resilience plans.
Tom Howard and Simon David Paul Williams
Nat. Hazards Earth Syst. Sci., 21, 3693–3712, https://doi.org/10.5194/nhess-21-3693-2021, https://doi.org/10.5194/nhess-21-3693-2021, 2021
Short summary
Short summary
We use a computer model to simulate storm surges around the coast of the United Kingdom. The model is based on the physics of the atmosphere and oceans. We hope that this will help us to better quantify extreme events: even bigger than those that have been seen in the tide gauge record. Our model simulates events which are comparable to the catastrophic 1953 storm surge. Model simulations have the potential to reduce the uncertainty in inferences of the most extreme surge return levels.
Balkis Samah Kohila, Laurent Dezileau, Soumaya Boussetta, Tarek Melki, and Nejib Kallel
Nat. Hazards Earth Syst. Sci., 21, 3645–3661, https://doi.org/10.5194/nhess-21-3645-2021, https://doi.org/10.5194/nhess-21-3645-2021, 2021
Short summary
Short summary
The Tunisian coast has been historically affected by extreme marine submersion events resulting from storms or tsunamis. To establish adaptation and mitigation strategies, it is essential to study these events in terms of spatial and temporal variability. Using a geological archive (sediment cores and surface sediments) retrieved from this coastal area of Tunisia, we present a reconstruction of past marine submersion events over the last 2500 years.
Riccardo A. Mel
Nat. Hazards Earth Syst. Sci., 21, 3629–3644, https://doi.org/10.5194/nhess-21-3629-2021, https://doi.org/10.5194/nhess-21-3629-2021, 2021
Short summary
Short summary
The present study investigates the hydrodynamics of the Venice lagoon if a partial use of the Mo.S.E. system (i.e. by closing the Lido inlet only) will be adopted.
A linear relationship is obtained between the seaward tidal amplitude and the reduction of the sea level peak at Venice, Burano, and Chioggia. Tidal period and wind have been accounted for. Two-thirds of the flood events can be effectively mitigated by such an operation under relative sea level rise scenarios up to +0.4 m.
Juan Camilo Gomez-Zapata, Nils Brinckmann, Sven Harig, Raquel Zafrir, Massimiliano Pittore, Fabrice Cotton, and Andrey Babeyko
Nat. Hazards Earth Syst. Sci., 21, 3599–3628, https://doi.org/10.5194/nhess-21-3599-2021, https://doi.org/10.5194/nhess-21-3599-2021, 2021
Short summary
Short summary
We present variable-resolution boundaries based on central Voronoi tessellations (CVTs) to spatially aggregate building exposure models and physical vulnerability assessment. Their geo-cell sizes are inversely proportional to underlying distributions that account for the combination between hazard intensities and exposure proxies. We explore their efficiency and associated uncertainties in risk–loss estimations and mapping from decoupled scenario-based earthquakes and tsunamis in Lima, Peru.
Cited articles
Abily, M., Bertrand, N., Delestre, O., Gourbesville, P., and Duluc, C. M.:
Spatial Global Sensitivity Analysis of High Resolution classified topographic data use in 2D urban flood modelling, Environ. Modell. Softw., 77, 183–195, 2016.
Anderson, B., Borgonovo, E., Galeotti, M., and Roson, R.:
Uncertainty in climate change modelling: can global sensitivity analysis be of help?, Risk Anal., 34, 271–293, 2014.
Ardhuin, F., Rogers, W. E., Babanin, A. V., Filipot, J., Magne, R., Roland, A., Van der Westhuysen, A., Queffeulou, P., Lefevre, J., Aouf, L., and Collard, F.:
Semiempirical dissipation source functions for ocean waves. Part I: Definition, calibration, and validation, J. Phys. Oceanogr., 40, 917–941, 2010.
Athanasiou, P., van Dongeren, A., Giardino, A., Vousdoukas, M. I., Ranasinghe, R., and Kwadijk, J.:
Uncertainties in projections of sandy beach erosion due to sea level rise: an analysis at the European scale, Sci. Rep., 10, 11895, https://doi.org/10.1038/s41598-020-68576-0, 2020.
Bamber, J. L. and Aspinall, W. P.:
An expert judgement assessment of future sea level rise from the ice sheets, Nat. Clim. Change, 3, 424–427, 2013.
Betancourt, J., Bachoc, F., Klein, T., Idier, D., Pedreros, R., and Rohmer, J.:
Gaussian process metamodeling of functional-input code for coastal flood hazard assessment, Reliab. Eng. Syst. Safe., 198, 106870, https://doi.org/10.1016/j.ress.2020.106870, 2020.
Bevacqua, E., Vousdoukas, M. I., Zappa, G., Hodges, K., Shepherd, T. G., Maraun, D., Mentaschi, L., and Feyen, L.:
More meteorological events that drive compound coastal flooding are projected under climate change, Communications Earth & Environment, 1, 1–11, 2020.
Broto, B., Bachoc, F., and Depecker, M.:
Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution, SIAM/ASA Journal of Uncertainty Quantification, 8, 693–716, 2020.
Cagigal, L., Rueda, A., Anderson, D. L., Ruggiero, P., Merrifield, M. A., Montaño, J., Coco, G., and Méndez, F. J.:
A multivariate, stochastic, climate-based wave emulator for shoreline change modelling, Ocean Model., 154, 151–184, 2020.
Callaghan, D. P., Nielsen, P., Short, A., and Ranasinghe, R. W. M. R. J. B.:
Statistical simulation of wave climate and extreme beach erosion, Coastal Engineering, 55, 375–390, 2008.
Chaumillon, E., Bertin, X., Fortunato, A. B., Bajo, M., Schneider, J.-L., Dezileau, L., Walsh, J. P., Michelot, A., Chauveau, E., Créach, A., Hénaff, A., Sauzeau, T., Waeles, B., Gervais, B., Jan, G., Baumann, J., Breilh, J.-F., and Pedreros, R.: Storm-induced marine flooding: Lessons from a multidisciplinary approach, Earth-Sci. Rev., 165, 151–184, 2017.
Coles, S.:
An Introduction to Statistical Modeling of Extreme Values, Springer Verlag, London, 2001.
Coles, S., Heffernan, J., and Tawn, J.:
Dependence Measures for Extreme Value Analyses, Extremes, 2, 339–365, 1999.
Coles, S. G. and Tawn, J. A.:
Modelling extreme multivariate events, J. Roy. Stat. Soc. Ser. B Met., 53, 377–392, 1991.
De Conto, R. M., Pollard, D., Alley, R. B., Velicogna, I., Gasson, E., Gomez, N., Sadai, S., Condron, A., Gilford, D. M., Ashe, E. L., and Kopp, R. E.:
The Paris Climate Agreement and future sea-level rise from Antarctica, Nature, 593, 83–89, 2021.
Demange-Chryst, J., Bachoc, F., and Morio, J.:
Shapley effect estimation in reliability-oriented sensitivity analysis with correlated inputs by importance sampling, arXiv [preprint], arXiv:2202.12679, 2022.
Do, N. C. and Razavi, S.:
Correlation effects? A major but often neglected component in sensitivity and uncertainty analysis, Water Resour. Res., 56, e2019WR025436, https://doi.org/10.1029/2019WR025436, 2020.
Fox-Kemper, B., Hewitt, H. T., Xiao, C., Aðalgeirsdóttir, G., Drijfhout, S. S., Edwards, T. L., Golledge, N. R., Hemer, M., Kopp, R. E., Krinner, G., Mix, A., Notz, D., Nowicki, S., Nurhati, I. S., Ruiz, L., Sallée, J.-B., Slangen, A. B. A., and Yu, Y.: Ocean, Cryosphere and Sea Level Change, in: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1211–1362, https://doi.org/10.1017/9781009157896.011, 2021.
Gouldby, B., Méndez, F. J., Guanche, Y., Rueda, A., and Mínguez, R.:
A methodology for deriving extreme nearshore sea conditions for structural design and flood risk analysis, Coastal Engineering, 88, 15–26, 2014.
Hastie, T., Tibshirani, R., and Friedman, J.:
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag, New York, 2009.
Heffernan, J. E. and Tawn, J. A.:
A conditional approach for multivariate extreme values (with discussion), J. Roy. Stat. Soc. Ser. B Met., 66, 497–546, 2004.
Idier, D., Rohmer, J., Pedreros, R., Le Roy, S., Lambert, J., Louisor, J., Le Cozannet, G., and Le Cornec, E.:
Coastal flood: a composite method for past events characterisation providing insights in past, present and future hazards—joining historical, statistical and modelling approaches, Nat. Hazards, 101, 465–501, 2020a.
Idier, D., Pedreros, R., Rohmer, J., and Le Cozannet, G.:
The effect of stochasticity of waves on coastal flood and its variations with sea-level rise, Journal of Marine Science and Engineering, 8, 798, https://doi.org/10.3390/jmse8100798, 2020b.
Idier, D., Aurouet, A., Bachoc, F., Baills, A., Betancourt, J., Gamboa, F., Klein, T., López-Lopera, A. F., Pedreros, R., Rohmer, J., and Thibault, A.: A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques, Journal of Marine Science and Engineering, 9, 1191, https://doi.org/10.3390/jmse9111191, 2021.
Idrissi, M. I., Chabridon, V., and Iooss, B.:
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs, Environ. Modell. Softw., 143, 105115, https://doi.org/10.1016/j.envsoft.2021.105115, 2021.
Iooss, B. and Lemaître, P.:
A review on global sensitivity analysis methods, in: Uncertainty management in simulation-optimization of complex systems, edited by: Dellino, G. and Meloni, C., Springer, Boston, MA, 101–122, 2015.
Iooss, B. and Prieur, C.:
Shapley effects for Sensitivity Analysis with correlated inputs: Comparisons with Sobol' Indices, Numerical Estimation and Applications, Int. J. Uncertain. Quan., 9, 493–514, 2019.
Iooss, B., Da Veiga, S., Janon, A., and Pujol, G.:
sensitivity: Global Sensitivity Analysis of Model Outputs, R package version 1.27.0, https://CRAN.R-project.org/package=sensitivity (last access: 15 September 2022), 2021.
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.
Keef, C., Papastathopoulos, I., and Tawn, J. A.:
Estimation of the conditional distribution of a multivariate variable given that one of its components is large: Additional constraints for the Heffernan and Tawn model, J. Multivariate Anal., 115, 396–404, 2013.
Kessy, A., Lewin, A., and Strimmer, K.:
Optimal whitening and decorrelation, Am. Stat., 72, 309–314, 2018.
Kopp, R. E., Horton, R. M., Little, C. M., Mitrovica, J. X., Oppenheimer, M., Rasmussen, D. J., Strauss, B. H., and Tebaldi, C.: Probabilistic 21st and 22nd century sea‐level projections at a global network of tide‐gauge sites, Earth's future, 2, 383–406,
https://doi.org/10.1002/2014EF000239, 2014.
Le Cornec, E., Le Bris, E., and Van Lierde, M.: Atlas des risques littoraux sur le departement du Morbihan. Phase 1: Recensement et Consequences des tempetes et coups de vent majeurs, GEOS-AEL and DHI Technical report, 476 pp., 2012 (in French).
Le Cozannet, G., Rohmer, J., Cazenave, A., Idier, D., van De Wal, R., De Winter, R., Pedreros, R., Balouin, Y., Vinchon, C., and Oliveros, C.:
Evaluating uncertainties of future marine flooding occurrence as sea-level rises, Environ. Modell. Softw., 73, 44–56, 2015.
Le Cozannet, G., Bulteau, T., Castelle, B., Ranasinghe, R., Wöppelmann, G., Rohmer, J., Bernon, N., Idier, D., Louisor, J., and Salas-y-Mélia, D.:
Quantifying uncertainties of sandy shoreline change projections as sea level rises, Sci. Rep., 9, 1–11, 2019a.
Le Cozannet, G., Thiéblemont, R., Rohmer, J., Idier, D., Manceau, J. C. and Quique, R.:
Low-end probabilistic sea-level projections, Water, 11, 1507, https://doi.org/10.3390/w11071507, 2019b.
Marcos, M., Rohmer, J., Vousdoukas, M. I., Mentaschi, L., Le Cozannet, G., and Amores, A.:
Increased extreme coastal water levels due to the combined action of storm surges and wind waves, Geophys. Res. Lett., 46, 4356–4364, 2019.
Minasny, B. and McBratney, A. B.:
A conditioned Latin hypercube method for sampling in the presence of ancillary information, Comput. Geosci., 32, 1378–1388, 2006.
Morim, J., Trenham, C., Hemer, M., Wang, X. L., Mori, N., Casas-Prat, M., Semedo, A., Shimura, T., Timmermans, B., Camus, P., Bricheno, L., Mentaschi, L., Dobrynin, M., Feng, Y., and Erikson, L.: A global ensemble of ocean wave climate projections from CMIP5-driven models, Scientific Data, 7, 1–10, 2020.
Northrop, P. J., Attalides, N., and Jonathan, P.:
Cross-validatory extreme value threshold selection and uncertainty with application to ocean storm severity, J. Roy. Stat. Soc. C-App., 66, 93–120, 2017.
Oppenheimer, M., Glavovic, B. C., Hinkel, J., van de Wal, R., Magnan, A. K., Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., DeConto, R. M., Ghosh, T., Hay, J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Sea Level Rise and Implications for Low-Lying Islands, Coasts and Communities, in: IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 321–445, https://doi.org/10.1017/9781009157964.006, 2019.
Outten, S. and Sobolowski, S: Extreme wind projections over Europe from the Euro-CORDEX regional climate models, Weather and Climate Extremes, 33, 100363, 2021.
Owen, A. B.:
Sobol' indices and Shapley value, SIAM/ASA Journal of Uncertainty Quantification, 2, 245–251, 2014.
Razavi, S., Jakeman, A., Saltelli, A., Prieur, C., Iooss, B., Borgonovo, E., Plischke, E., Lo Piano, S., Iwanaga, T., Becker, W., Tarantola, S., Guillaume, J. H. A., Jakeman, J., Gupta, H., Melillo, N., Rabitti, G., Chabridon, V., Duan, Q., Sun, X., Smith, S., Sheikholeslami, R., Hosseini, N., Asadzadeh, M., Puy, A., Kucherenko, S., and Maier, H. R.:
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support, Environ. Modell. Softw., 137, 104954, https://doi.org/10.1016/j.envsoft.2020.104954, 2021.
Rohmer, J., Idier, D., and Pedreros, R.:
A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site, Stoch. Env. Res. Risk A., 34, 867–890, 2020.
Roustant, O., Ginsbourger, D., and Deville, Y.:
DiceKriging, DiceOptim: Two R packages for the analysis of computer experiments by kriging-based metamodeling and optimization, J. Stat. Softw., 51, 1–55, 2012.
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., and Tarantola, S. (Eds.): Global sensitivity analysis: the primer, JohnWiley & Sons, 2008.
Shapley, L. S.:
A value for n-person games, in: Contributions to the Theory of Games, Volume II, Annals of Mathematics Studies, edited by: Kuhn, H. and Tucker, A. W., Princeton University Press, Princeton, NJ, 307–317, 1953.
Song, E., Nelson, B., and Staum, J.:
Shapley effects for global sensitivity analysis: Theory and computation, SIAM/ASA Journal on Uncertainty Quantification, 4, 1060–1083, 2016.
Southworth, H., Heffernan, J. E., and Metcalfe, P.D: texmex: Statistical modelling of extreme values, R package version 2.4.8, https://cran.r-project.org/web/packages/texmex/index.html (last access: 15 September 2022), 2020.
UNFCCC:
Report of the Conference of the Parties on its twenty-first session, held in Paris from 30 November to 13 December 2015, Addendum part two: Action taken by the Conference of the Parties at its twenty-first session, FCCC/CP/2015/10/Add.1, Bonn, Germany, 2016.
Wahl, T., Jain, S., Bender, J., Meyers, S. D., and Luther, M. E.:
Increasing risk of compound flooding from storm surge and rainfall for major US cities, Nat. Clim. Change, 5, 1093–1097, 2015.
Wahl, T., Haigh, I. D., Nicholls, R. J., Arns, A., Dangendorf, S., Hinkel, J., and Slangen, A. B.:
Understanding extreme sea levels for broad-scale coastal impact and adaptation analysis, Nature Commun., 8, 1–12, 2017.
Ward, P. J., Couasnon, A., Eilander, D., Haigh, I. D., Hendry, A., Muis, S., Veldkamp, T. I. E., Winsemius, H. C., and Wahl, T.:
Dependence between high sea-level and high river discharge increases flood hazard in global deltas and estuaries, Environ. Res. Lett., 13, 084012, https://doi.org/10.1088/1748-9326/aad400, 2018.
Williams, C. K. and Rasmussen, C. E.:
Gaussian processes for machine learning, MIT Press, Cambridge, MA, 2006.
Wong, T. E. and Keller, K.:
Deep uncertainty surrounding coastal flood risk projections: A case study for New Orleans, Earths Future, 5, 1015–1026, 2017.
Zhu, X. and Sudret, B.:
Global sensitivity analysis for stochastic simulators based on generalized lambda surrogate models, Reliab. Eng. Syst. Safe., 214, 107815, https://doi.org/10.1016/j.ress.2021.107815, 2021.
Zijlema, M., Stelling, G., and Smit, P.:
SWASH: An operational public domain code for simulating wave fields and rapidly varied flows in coastal waters, Coastal Engineering, 58, 992–1012, 2011.
Short summary
We quantify the influence of wave–wind characteristics, offshore water level and sea level rise (projected up to 2200) on the occurrence of flooding events at Gâvres, French Atlantic coast. Our results outline the overwhelming influence of sea level rise over time compared to the others. By showing the robustness of our conclusions to the errors in the estimation procedure, our approach proves to be valuable for exploring and characterizing uncertainties in assessments of future flooding.
We quantify the influence of wave–wind characteristics, offshore water level and sea level rise...
Altmetrics
Final-revised paper
Preprint