Research article
14 Nov 2022
Research article
| 14 Nov 2022
Importance of non-stationary analysis for assessing extreme sea levels under sea level rise
Damiano Baldan et al.
Related authors
No articles found.
Marco Bajo, Christian Ferrarin, Georg Umgiesser, Andrea Bonometto, and Elisa Coraci
EGUsphere, https://doi.org/10.5194/egusphere-2022-1126, https://doi.org/10.5194/egusphere-2022-1126, 2022
Short summary
Short summary
This work uses sea-level observations and a model to reproduce the sea level in the Mediterranean basin. We considered various components, due to astronomical and meteorological forcing. Furthermore, the periods of oscillation of the sea level of the Mediterranean Sea were studied. This research aims to improve sea level prediction to prevent flood events and improve sea level reproduction in past periods, for climatological or other studies.
Begoña Pérez Gómez, Ivica Vilibić, Jadranka Šepić, Iva Međugorac, Matjaž Ličer, Laurent Testut, Claire Fraboul, Marta Marcos, Hassen Abdellaoui, Enrique Álvarez Fanjul, Darko Barbalić, Benjamín Casas, Antonio Castaño-Tierno, Srđan Čupić, Aldo Drago, María Angeles Fraile, Daniele A. Galliano, Adam Gauci, Branislav Gloginja, Víctor Martín Guijarro, Maja Jeromel, Marcos Larrad Revuelto, Ayah Lazar, Ibrahim Haktan Keskin, Igor Medvedev, Abdelkader Menassri, Mohamed Aïssa Meslem, Hrvoje Mihanović, Sara Morucci, Dragos Niculescu, José Manuel Quijano de Benito, Josep Pascual, Atanas Palazov, Marco Picone, Fabio Raicich, Mohamed Said, Jordi Salat, Erdinc Sezen, Mehmet Simav, Georgios Sylaios, Elena Tel, Joaquín Tintoré, Klodian Zaimi, and George Zodiatis
Ocean Sci., 18, 997–1053, https://doi.org/10.5194/os-18-997-2022, https://doi.org/10.5194/os-18-997-2022, 2022
Short summary
Short summary
This description and mapping of coastal sea level monitoring networks in the Mediterranean and Black seas reveals the existence of 240 presently operational tide gauges. Information is provided about the type of sensor, time sampling, data availability, and ancillary measurements. An assessment of the fit-for-purpose status of the network is also included, along with recommendations to mitigate existing bottlenecks and improve the network, in a context of sea level rise and increasing extremes.
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
Short summary
Short summary
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.
S. Mariani, M. Casaioli, E. Coraci, and P. Malguzzi
Nat. Hazards Earth Syst. Sci., 15, 1–24, https://doi.org/10.5194/nhess-15-1-2015, https://doi.org/10.5194/nhess-15-1-2015, 2015
Short summary
Short summary
In the HyMeX framework, an intercomparison study of two different configurations of the ISPRA hydro-meteo-marine forecasting system (SIMM) has been performed to assess the forecast skill in predicting high precipitations and very intense storm surges over the northern Adriatic Sea (acqua alta). The results show an objective added value of the use of high-resolution meteorological models, and they suggest the opportunity to develop a time-lagged multi-model ensemble for the acqua alta prediction.
Related subject area
Sea, Ocean and Coastal Hazards
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
Wind-wave characteristics and extremes along the Emilia-Romagna coast
Partitioning the contributions of dependent offshore forcing conditions in the probabilistic assessment of future coastal flooding
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
The Mw 7.5 Tadine (Maré, Loyalty Islands) earthquake and related tsunami of 5 December 2018: seismotectonic context and numerical modeling
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.
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.
Jeremy Rohmer, Deborah Idier, Remi Thieblemont, Goneri Le Cozannet, and François Bachoc
Nat. Hazards Earth Syst. Sci., 22, 3167–3182, https://doi.org/10.5194/nhess-22-3167-2022, https://doi.org/10.5194/nhess-22-3167-2022, 2022
Short summary
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.
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.
Jean Roger, Bernard Pelletier, Maxime Duphil, Jérôme Lefèvre, Jérôme Aucan, Pierre Lebellegard, Bruce Thomas, Céline Bachelier, and David Varillon
Nat. Hazards Earth Syst. Sci., 21, 3489–3508, https://doi.org/10.5194/nhess-21-3489-2021, https://doi.org/10.5194/nhess-21-3489-2021, 2021
Short summary
Short summary
This study deals with the 5 December 2018 tsunami in New Caledonia and Vanuatu (southwestern Pacific) triggered by a Mw 7.5 earthquake that occurred southeast of Maré, Loyalty Islands, and was widely felt in the region. Numerical modeling results of the tsunami using a non-uniform and a uniform slip model compared to real tide gauge records and observations are globally well correlated for the uniform slip model, especially in far-field locations.
Cited articles
Agilan, V., Umamahesh, N. V., and Mujumdar, P. P.:
Influence of threshold selection in modeling peaks over threshold based nonstationary extreme rainfall series, J. Hydrol., 593, 125625, https://doi.org/10.1016/j.jhydrol.2020.125625, 2021.
Arns, A., Wahl, T., Dangendorf, S., and Jensen, J.:
The impact of sea level rise on storm surge water levels in the northern part of the German Bight, Coast. Eng., 96, 118–131, https://doi.org/10.1016/j.coastaleng.2014.12.002, 2015.
Arns, A., Dangendorf, S., Jensen, J., Talke, S., Bender, J., and Pattiaratchi, C.:
Sea-level rise induced amplification of coastal protection design heights, Sci. Rep.-UK, 7, 1–9, https://doi.org/10.1038/srep40171, 2017.
Baranes, H. E., Woodruff, J. D., Talke, S. A., Kopp, R. E., Ray, R. D., and DeConto, R. M.: Tidally driven interannual variation in extreme sea level frequencies in the Gulf of Maine, J. Geophys. Res.-Oceans, 125, e2020JC016291, https://doi.org/10.1029/2020JC016291, 2020.
Batstone, C., Lawless, M., Tawn, J., Horsburgh, K., Blackman, D., McMillan, A., Worth, D., Laeger, S., and Hunt, T.:
A UK best-practice approach for extreme sea-level analysis along complex topographic coastlines, Ocean Eng., 71, 28–39, https://doi.org/10.1016/j.oceaneng.2013.02.003, 2013.
Bernier, N. B., Thompson, K. R., Ou, J., and Ritchie, H.: Mapping the return periods of extreme sea levels: Allowing for short sea level records, seasonality, and climate change, Global Planet. Change, 57, 139–150, https://doi.org/10.1016/j.gloplacha.2006.11.027, 2007.
Boettle, M., Rybski, D., and Kropp, J. P.:
Quantifying the effect of sea level rise and flood defence – a point process perspective on coastal flood damage, Nat. Hazards Earth Syst. Sci., 16, 559–576, https://doi.org/10.5194/nhess-16-559-2016, 2016.
Caruso, M. F. and Marani, M.: Extreme-coastal-water-level estimation and projection: a comparison of statistical methods, Nat. Hazards Earth Syst. Sci., 22, 1109–1128, https://doi.org/10.5194/nhess-22-1109-2022, 2022.
Castillo, E., Hadi, A. S., Balakrishnan, N., and Sarabia, J.-M.: Extreme value and related models with applications in engineering and science, Wiley,
ISBN 978-0-471-67172-5, 2005.
Cebrián, A. C., Abaurrea, J., and Asín, J.:
NHPoisson: An R package for fitting and validating nonhomogeneous Poisson processes, J. Stat. Softw., 64, 1–25, 2015.
Cid, A., Menéndez, M., Castanedo, S., Abascal, A. J., Méndez, F. J., and Medina, R.:
Long-term changes in the frequency, intensity and duration of extreme storm surge events in southern Europe, Clim. Dynam., 46, 1503–1516, https://doi.org/10.1007/s00382-015-2659-1, 2016.
Coles, S., Bawa, J., Trenner, L., and Dorazio, P.: An introduction to statistical modeling of extreme values, Springer, ISBN 978-1-4471-3675-0, 2001.
De Biasio, F., Baldin, G., and Vignudelli, S.: Revisiting Vertical Land Motion and Sea Level Trends in the Northeastern Adriatic Sea Using Satellite Altimetry and Tide Gauge Data, J. Mar. Sci. Eng., 8, 1–25,
https://doi.org/10.3390/jmse8110949, 2020.
Devlin, A., Pan, J., and Lin, H.: Extended Water Level Trends at Long-Record Tide Gauges Via Moving Window Averaging and Implications for Future Coastal Flooding, J. Geophys. Res.-Oceans, 126, e2021JC017730, https://doi.org/10.1029/2021JC017730, 2021.
Dixon, M. J. and Tawn, J. A.:
The effect of non-stationarity on extreme sea-level estimation, J. R. Stat. Soc. C-Appl., 48, 135–151, https://doi.org/10.1111/1467-9876.00145, 1999.
Enríquez, A. R., Wahl, T., Baranes, H. E., Talke, S. A., Orton, P. M., Booth, J. F., and Haigh, I. D.: Predictable Changes in Extreme Sea Levels and Coastal Flood Risk Due To Long-Term Tidal Cycles, J. Geophys. Res.-Oceans, 127, e2021JC018157, https://doi.org/10.1029/2021JC018157, 2022.
Ferrarin, C., Lionello, P., Orlić, M., Raicich, F., and Salvadori, G.:
Venice as a paradigm of coastal flooding under multiple compound drivers, Sci. Rep.-UK, 1–11, https://doi.org/10.1038/s41598-022-09652-5, 2022.
Garner, G. G., Hermans, T., Kopp, R. E., Slangen, A. B. A., Edwards, T. L., Levermann, A., Nowikci, S., Palmer, M. D., Smith, C., 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., Yu, Y., Hua, L., Palmer, T., and Pearson, B.: IPCC AR6 Sea-Level Rise Projections, Version 20210809, PO.DAAC [data set], CA, USA, https://podaac.jpl.nasa.gov/announcements/2021-08-09-Sea-level-projections-from-the-IPCC-6th (last access: 11 November 2022), 2021.
Gilleland, E. and Katz, R. W.:
extRemes 2.0: An Extreme Value Analysis Package in R, J. Stat. Softw., 72, 1–39, https://doi.org/10.18637/JSS.V072.I08, 2016.
Grinsted, A., Moore, J. C., and Jevrejeva, S.: Projected Atlantic hurricane surge threat from rising temperatures, P. Natl. Acad. Sci. USA, 110, 5369–5373, https://doi.org/10.1073/pnas.1209980110, 2013.
Haigh, I. D., Nicholls, R., and Wells, N.:
A comparison of the main methods for estimating probabilities of extreme still water levels, Coast. Eng., 57, 838–849, https://doi.org/10.1016/j.coastaleng.2010.04.002, 2010.
ISPRA – Italian Institute for Environmental Protection and Reaserch: Meteo-marine data for the North Adriatic and the Venice Lagoon, ISPRA [data set], https://www.venezia.isprambiente.it/rete-meteo-mareografica, last access: 11 November 2022.
Jongman, B., Ward, P. J., and Aerts, J. C. J. H.:
Global exposure to river and coastal flooding: Long term trends and changes, Global Environ. Chang., 22, 823–835, https://doi.org/10.1016/j.gloenvcha.2012.07.004, 2012.
Kelley, D. E.: Oceanographic analysis with R, Springer, ISBN 978-1493988426, 2018.
Khaliq, M. N., Ouarda, T. B. M. J., Ondo, J. C., Gachon, P., and Bobée, B.:
Frequency analysis of a sequence of dependent and/or non-stationary hydro-meteorological observations: A review, J. Hydrol., 329, 534–552, https://doi.org/10.1016/J.JHYDROL.2006.03.004, 2006.
Kron, W.:
Coasts: The high-risk areas of the world, Nat. Hazards, 66, 1363–1382, https://doi.org/10.1007/s11069-012-0215-4, 2013.
Letetrel, C., Marcos, M., Martín Míguez, B., and Woppelmann, G.:
Sea level extremes in Marseille (NW Mediterranean) during 1885–2008, Cont. Shelf Res., 30, 1267–1274, https://doi.org/10.1016/j.csr.2010.04.003, 2010.
Lionello, P., Barriopedro, D., Ferrarin, C., Nicholls, R. J., Orlić, M., Raicich, F., Reale, M., Umgiesser, G., Vousdoukas, M., and Zanchettin, D.:
Extreme floods of Venice: characteristics, dynamics, past and future evolution (review article), Nat. Hazards Earth Syst. Sci., 21, 2705–2731, https://doi.org/10.5194/nhess-21-2705-2021, 2021.
Marcos, M., Tsimplis, M. N., and Shaw, A. G. P.: Sea level extremes in southern Europe, J. Geophys. Res.-Oceans, 114, 1–16, https://doi.org/10.1029/2008JC004912, 2009.
Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., and Gomis, M. I.:
Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC, Geneva, Switzerland, 2021.
Méndez, F. J., Menéndez, M., Luceño, A., and Losada, I. J.: Estimation of the long-term variability of extreme significant wave height using a time-dependent Peak Over Threshold (POT) model, J. Geophys. Res.-Oceans, 111, C07024, https://doi.org/10.1029/2005JC003344, 2006.
Méndez, F. J., Menéndez, M., Luceño, A., and Losada, I. J.:
Analyzing monthly extreme sea levels with a time-dependent GEV model, J. Atmos. Ocean. Tech., 24, 894–911, 2007.
Menéndez, M. and Woodworth, P. L.:
Changes in extreme high water levels based on a quasi-global tide-gauge data set, J. Geophys. Res.-Oceans, 115, 1–15, https://doi.org/10.1029/2009JC005997, 2010.
Mentaschi, L., Vousdoukas, M., Voukouvalas, E., Sartini, L., Feyen, L., Besio, G., and Alfieri, L.:
The transformed-stationary approach: a generic and simplified methodology for non-stationary extreme value analysis, Hydrol. Earth Syst. Sci., 20, 3527–3547, https://doi.org/10.5194/hess-20-3527-2016, 2016.
Mudersbach, C. and Jensen, J.:
Nonstationary extreme value analysis of annual maximum water levels for designing coastal structures on the German North Sea coastline, J. Flood Risk Manag., 3, 52–62, https://doi.org/10.1111/j.1753-318X.2009.01054.x, 2010.
Prandle, D. and Wolf, J.:
The interaction of surge and tide in the North Sea and River Thames, Geophys. J. Int., 55, 203–216, 1978.
Pugh, D. T.: Tides, surges and mean sea level, Wiley, ISBN 047191505X, 1987.
Pugh, D. T. and Vassie, J. M.: Extreme sea levels from tide and surge probability, Coast. Eng. Proc., 16, 911–930, 1978.
Ragno, E., Aghakouchak, A., Cheng, L., and Sadegh, M.:
A generalized framework for process-informed nonstationary extreme value analysis, Adv. Water Resour., 130, 270–282, https://doi.org/10.1016/j.advwatres.2019.06.007, 2019.
Raicich, F., Orlic, M., and Malacic, V.: A case study of the Adriatic seiches (December 1997), Nuovo Cimento C, 22, 715726, ISSN 0390-5551, 1999.
Razmi, A., Golian, S., Zahmatkesh, Z., and Zahmatkesh ZahraZahmatkeshAliabadi, Z.:
Non-Stationary Frequency Analysis of Extreme Water Level: Application of Annual Maximum Series and Peak-over Threshold Approaches, Water Resour. Manag., 31, 2065–2083, https://doi.org/10.1007/s11269-017-1619-4, 2017.
R Core Team: R: A Language and Environment for Statistical Computing, https://www.r-project.org/ (last access: 11 November 2022), 2021.
Roth, M., Buishand, T. A., Jongbloed, G., Klein Tank, A. M. G., and Van Zanten, J. H.:
A regional peaks-over-threshold model in a nonstationary climate, Water Resour. Res., 48, 1–12, https://doi.org/10.1029/2012WR012214, 2012.
Salas, J. D. and Obeysekera, J.:
Revisiting the concepts of return period and risk for nonstationary hydrologic extreme events, J. Hydrol. Eng., 19, 554–568, 2014.
Schuwirth, N., Borgwardt, F., Domisch, S., Friedrichs, M., Kattwinkel, M., Kneis, D., Kuemmerlen, M., Langhans, S. D., Martínez-López, J., and Vermeiren, P.: How to make ecological models useful for environmental management, Ecol. Model., 411, 108784, https://doi.org/10.1016/j.ecolmodel.2019.108784, 2019.
Sweet, W. V and Park, J.:
From the extreme to the mean: Acceleration and tipping points of coastal inundation from sea level rise, Earths Future, 2, 579–600, 2014.
Tawn, J. A., Vassie, J. M., and Gumbel, E. J.:
Extreme sea levels; the joint probabilities method revised and refined, P. I. Civil. Eng., 87, 429–442, https://doi.org/10.1680/iicep.1989.2975, 1989.
Tebaldi, C., Strauss, B. H., and Zervas, C. E.: Modelling sea level rise impacts on storm surges along US coasts, Environ. Res. Lett., 7, 014032, https://doi.org/10.1088/1748-9326/7/1/014032, 2012.
Tebaldi, C., Ranasinghe, R., Vousdoukas, M., Rasmussen, D. J., Vega-Westhoff, B., Kirezci, E., Kopp, R. E., Sriver, R., and Mentaschi, L.:
Extreme sea levels at different global warming levels, Nat. Clim. Change, 11, 746–751, 2021.
Umgiesser, G.:
The impact of operating the mobile barriers in Venice (MOSE) under climate change, J. Nat. Conserv., 54, 125783, https://doi.org/10.1016/j.jnc.2019.125783, 2020.
Umgiesser, G., Bajo, M., Ferrarin, C., Cucco, A., Lionello, P., Zanchettin, D., Papa, A., Tosoni, A., Ferla, M., Coraci, E., Morucci, S., Crosato, F., Bonometto, A., Valentini, A., Orlić, M., Haigh, I. D., Nielsen, J. W., Bertin, X., Fortunato, A. B., Pérez Gómez, B., Alvarez Fanjul, E., Paradis, D., Jourdan, D., Pasquet, A., Mourre, B., Tintoré, J., and Nicholls, R. J.:
The prediction of floods in Venice: methods, models and uncertainty (review article), Nat. Hazards Earth Syst. Sci., 21, 2679–2704, https://doi.org/10.5194/nhess-21-2679-2021, 2021.
Valle-Levinson, A., Marani, M., Carniello, L., D'Alpaos, A., and Lanzoni, S.: Astronomic link to anomalously high mean sea level in the northern Adriatic Sea, Estuar. Coast. Shelf Sci., 257, 107418, https://doi.org/10.1016/j.ecss.2021.107418, 2021.
VLIZ – Flanders Marine Institute and IOC – Intergovernmental Oceanographic Commission: Sea level station monitoring facility, VLIZ and IOC [data set], https://doi.org/10.14284/482, 2022.
Wahl, T., Haigh, I. D., Nicholls, R. J., Arns, A., Dangendorf, S., Hinkel, J., and Slangen, A. B. A.:
Understanding extreme sea levels for broad-scale coastal impact and adaptation analysis, Nat. Commun., 8, 1–12, https://doi.org/10.1038/ncomms16075, 2017.
Wöppelmann, G., Marcos, M., Coulomb, A., Martín Míguez, B., Bonnetain, P., Boucher, C., Gravelle, M., Simon, B., and Tiphaneau, P.:
Rescue of the historical sea level record of Marseille (France) from 1885 to 1988 and its extension back to 1849–1851, J. Geodesy, 88, 869–885, https://doi.org/10.1007/s00190-014-0728-6, 2014.
Zanchettin, D., Bruni, S., Raicich, F., Lionello, P., Adloff, F., Androsov, A., Antonioli, F., Artale, V., Carminati, E., Ferrarin, C., Fofonova, V., Nicholls, R. J., Rubinetti, S., Rubino, A., Sannino, G., Spada, G., Thiéblemont, R., Tsimplis, M., Umgiesser, G., Vignudelli, S., Wöppelmann, G., and Zerbini, S.: Sea-level rise in Venice: historic and future trends (review article), Nat. Hazards Earth Syst. Sci., 21, 2643–2678, https://doi.org/10.5194/nhess-21-2643-2021, 2021.
Zhang, K., Douglas, B. C., and Leatherman, S. P.:
Twentieth-century storm activity along the US east coast, J. Climate, 13, 1748–1761, 2000.
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.
Extreme-event analysis is widely used to provide information for the design of coastal...
Altmetrics
Final-revised paper
Preprint