Articles | Volume 19, issue 3
https://doi.org/10.5194/nhess-19-455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-455-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Mar 2019
Research article |
| 06 Mar 2019
| 06 Mar 2019
From regional to local SPTHA: efficient computation of probabilistic tsunami inundation maps addressing near-field sources
Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy
Stefano Lorito
Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy
Jacopo Selva
Istituto Nazionale di Geofisica e Vulcanologia, Bologna, Italy
Roberto Tonini
Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy
Fabrizio Romano
Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy
Beatriz Brizuela
Istituto Nazionale di Geofisica e Vulcanologia, Roma, Italy
Related authors
Enrico Baglione, Stefano Lorito, Alessio Piatanesi, Fabrizio Romano, Roberto Basili, Beatriz Brizuela, Roberto Tonini, Manuela Volpe, Hafize Basak Bayraktar, and Alessandro Amato
Nat. Hazards Earth Syst. Sci., 21, 3713–3730, https://doi.org/10.5194/nhess-21-3713-2021, https://doi.org/10.5194/nhess-21-3713-2021, 2021
Short summary
Short summary
We investigated the seismic fault structure and the rupture characteristics of the MW 6.6, 2 May 2020, Cretan Passage earthquake through tsunami data inverse modelling. Our results suggest a shallow crustal event with a reverse mechanism within the accretionary wedge rather than on the Hellenic Arc subduction interface. The study identifies two possible ruptures: a steeply sloping reverse splay fault and a back-thrust rupture dipping south, with a more prominent dip angle.
Alice Abbate, José M. González Vida, Manuel J. Castro Díaz, Fabrizio Romano, Hafize Başak Bayraktar, Andrey Babeyko, and Stefano Lorito
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-41, https://doi.org/10.5194/nhess-2024-41, 2024
Preprint under review for NHESS
Short summary
Short summary
Modeling the tsunami generation due to a rapid submarine earthquake is a complex problem. We propose and test, under a variety of realistic conditions in a subduction zone, an efficient solution to this problem, and a tool which can compute the generation of any potential tsunami in any ocean of the world. We will explore in the future solutions which would allow us to model the tsunami generation also by slower (time-dependent) seafloor displacement.
Silvia Massaro, Manuel Stocchi, Beatriz Martínez Montesinos, Laura Sandri, Jacopo Selva, Roberto Sulpizio, Biagio Giaccio, Massimiliano Moscatelli, Edoardo Peronace, Marco Nocentini, Roberto Isaia, Manuel Titos Luzón, Pierfrancesco Dellino, Giuseppe Naso, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 23, 2289–2311, https://doi.org/10.5194/nhess-23-2289-2023, https://doi.org/10.5194/nhess-23-2289-2023, 2023
Short summary
Short summary
A new methodology to calculate a probabilistic long-term tephra fallout hazard assessment in southern Italy from the Neapolitan volcanoes is provided. By means of thousands of numerical simulations we quantify the mean annual frequency with which the tephra load at the ground exceeds critical thresholds in 50 years. The output hazard maps account for changes in eruptive regimes of each volcano and are also comparable with those of other natural disasters in which more sources are integrated.
Enrico Baglione, Stefano Lorito, Alessio Piatanesi, Fabrizio Romano, Roberto Basili, Beatriz Brizuela, Roberto Tonini, Manuela Volpe, Hafize Basak Bayraktar, and Alessandro Amato
Nat. Hazards Earth Syst. Sci., 21, 3713–3730, https://doi.org/10.5194/nhess-21-3713-2021, https://doi.org/10.5194/nhess-21-3713-2021, 2021
Short summary
Short summary
We investigated the seismic fault structure and the rupture characteristics of the MW 6.6, 2 May 2020, Cretan Passage earthquake through tsunami data inverse modelling. Our results suggest a shallow crustal event with a reverse mechanism within the accretionary wedge rather than on the Hellenic Arc subduction interface. The study identifies two possible ruptures: a steeply sloping reverse splay fault and a back-thrust rupture dipping south, with a more prominent dip angle.
Warner Marzocchi, Jacopo Selva, and Thomas H. Jordan
Nat. Hazards Earth Syst. Sci., 21, 3509–3517, https://doi.org/10.5194/nhess-21-3509-2021, https://doi.org/10.5194/nhess-21-3509-2021, 2021
Short summary
Short summary
Eruption forecasting and volcanic hazard analysis are pervaded by uncertainty of different kinds, such as the natural randomness, our lack of knowledge, and the so-called unknown unknowns. After discussing the limits of how classical probabilistic frameworks handle these uncertainties, we put forward a unified probabilistic framework which unambiguously defines uncertainty of different kinds, and it allows scientific validation of the hazard model against independent observations.
Alessandra Maramai, Laura Graziani, and Beatriz Brizuela
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-241, https://doi.org/10.5194/nhess-2019-241, 2019
Preprint withdrawn
Short summary
Short summary
The Italian Tsunami Effects Database (ITED), is an ensemble of records reporting tsunami effects observed at several Observation Points (OP) along the Italian coasts from historical times. ITED contains 300 observations of tsunami effects at 225 OP referred to 186 Italian main localities, related to 72 Italian tsunamis. The database provides also the tsunami-history for each locality. ITED can be accessed through a web GIS application built on purpose.
Irene Molinari, Roberto Tonini, Stefano Lorito, Alessio Piatanesi, Fabrizio Romano, Daniele Melini, Andreas Hoechner, José M. Gonzàlez Vida, Jorge Maciás, Manuel J. Castro, and Marc de la Asunción
Nat. Hazards Earth Syst. Sci., 16, 2593–2602, https://doi.org/10.5194/nhess-16-2593-2016, https://doi.org/10.5194/nhess-16-2593-2016, 2016
Short summary
Short summary
We present a database of pre-calculated tsunami waveforms for the entire Mediterranean Sea, obtained by numerical propagation of uniformly spaced Gaussian-shaped elementary sources for the sea level elevation. Based on any initial sea surface displacement, the database allows the fast calculation of full waveforms of coastal sites. The resulting product is suitable for different applications such as probabilistic tsunami hazard, tsunami source inversions and tsunami warning systems.
F. Bernardi, A. Lomax, A. Michelini, V. Lauciani, A. Piatanesi, and S. Lorito
Nat. Hazards Earth Syst. Sci., 15, 2019–2036, https://doi.org/10.5194/nhess-15-2019-2015, https://doi.org/10.5194/nhess-15-2019-2015, 2015
F. Romano, I. Molinari, S. Lorito, and A. Piatanesi
Nat. Hazards Earth Syst. Sci., 15, 1371–1379, https://doi.org/10.5194/nhess-15-1371-2015, https://doi.org/10.5194/nhess-15-1371-2015, 2015
R. Tonini, L. Sandri, A. Costa, and J. Selva
Nat. Hazards Earth Syst. Sci., 15, 409–415, https://doi.org/10.5194/nhess-15-409-2015, https://doi.org/10.5194/nhess-15-409-2015, 2015
B. Brizuela, A. Armigliato, and S. Tinti
Nat. Hazards Earth Syst. Sci., 14, 1889–1903, https://doi.org/10.5194/nhess-14-1889-2014, https://doi.org/10.5194/nhess-14-1889-2014, 2014
S. Tinti and R. Tonini
Nat. Hazards Earth Syst. Sci., 13, 1795–1816, https://doi.org/10.5194/nhess-13-1795-2013, https://doi.org/10.5194/nhess-13-1795-2013, 2013
R. Basili, M. M. Tiberti, V. Kastelic, F. Romano, A. Piatanesi, J. Selva, and S. Lorito
Nat. Hazards Earth Syst. Sci., 13, 1025–1050, https://doi.org/10.5194/nhess-13-1025-2013, https://doi.org/10.5194/nhess-13-1025-2013, 2013
Related subject area
Sea, Ocean and Coastal Hazards
Thresholds for estuarine compound flooding using a combined hydrodynamic–statistical modelling approach
Nearshore tsunami amplitudes across the Maldives archipelago due to worst-case seismic scenarios in the Indian Ocean
Evidence of Middle Holocene landslide-generated tsunamis recorded in lake sediments from Saqqaq, West Greenland
Investigation of historical severe storms and storm tides in the German Bight with century reanalysis data
Proposal for a new meteotsunami intensity index
Total water levels along the South Atlantic Bight during three along-shelf propagating tropical cyclones: relative contributions of storm surge and wave runup
Hurricane Irma: an unprecedented event over the last 3700 years? Geomorphological changes and sedimentological record in Codrington Lagoon, Barbuda
Bayesian extreme value analysis of extreme sea levels along the German Baltic coast using historical information
Storm characteristics influence nitrogen removal in an urban estuarine environment
A new European coastal flood database for low–medium intensity events
Boulder transport and wave height of a seventeenth-century South China Sea tsunami on Penghu Islands, Taiwan
A wave-resolving modeling study of rip current variability, rip hazard, and swimmer escape strategies on an embayed beach
Human displacements from Tropical Cyclone Idai attributable to climate change
Influence of data source and copula statistics on estimates of compound extreme water levels in a river mouth environment
Three decades of coastal subsidence in the slow-moving Nice Côte d'Azur Airport area (France) revealed by InSAR (interferometric synthetic-aperture radar): insights into the deformation mechanism
Modelling extreme water levels using intertidal topography and bathymetry derived from multispectral satellite images
Regional assessment of extreme sea levels and associated coastal flooding along the German Baltic Sea coast
Joint probability analysis of storm surges and waves caused by tropical cyclones for the estimation of protection standard: a case study on the eastern coast of the Leizhou Peninsula and the island of Hainan in China
Meteotsunami in the United Kingdom: the hidden hazard
Climate-induced storminess forces major increases in future storm surge hazard in the South China Sea region
Assessing Typhoon Soulik-induced morphodynamics over the Mokpo coastal region in South Korea based on a geospatial approach
Bayesian hierarchical modelling of sea-level extremes in the Finnish coastal region
Simulating sea level extremes from synthetic low-pressure systems
Nonlinear processes in tsunami simulations for the Peruvian coast with focus on Lima/Callao
Assessing the coastal hazard of Medicane Ianos through ensemble modelling
A predictive equation for wave setup using genetic programming
Contribution of solitons to enhanced rogue wave occurrence in shallow depths: a case study in the southern North Sea
Compound flood events: analysing the joint occurrence of extreme river discharge events and storm surges in northern and central Europe
Improvements to the detection and analysis of external surges in the North Sea
Optimal probabilistic placement of facilities using a surrogate model for 3D tsunami simulations
Enabling dynamic modelling of coastal flooding by defining storm tide hydrographs
The role of preconditioning for extreme storm surges in the western Baltic Sea
Freak wave events in 2005–2021: statistics and analysis of favourable wave and wind conditions
Probabilistic projections and past trends of sea level rise in Finland
The effect of deep ocean currents on ocean- bottom seismometers records
An interdisciplinary agent-based evacuation model: integrating the natural environment, built environment, and social system for community preparedness and resilience
Coastal extreme sea levels in the Caribbean Sea induced by tropical cyclones
Characteristics of consecutive tsunamis and resulting tsunami behaviors in southern Taiwan induced by the Hengchun earthquake doublet on 26 December 2006
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
Detecting anomalous sea-level states in North Sea tide gauge data using an autoassociative neural network
Observations of extreme wave runup events on the US Pacific Northwest coast
The potential of global coastal flood risk reduction using various DRR measures
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
Charlotte Lyddon, Nguyen Chien, Grigorios Vasilopoulos, Michael Ridgill, Sogol Moradian, Agnieszka Olbert, Thomas Coulthard, Andrew Barkwith, and Peter Robins
Nat. Hazards Earth Syst. Sci., 24, 973–997, https://doi.org/10.5194/nhess-24-973-2024, https://doi.org/10.5194/nhess-24-973-2024, 2024
Short summary
Short summary
Recent storms in the UK, like Storm Ciara in 2020, show how vulnerable estuaries are to the combined effect of sea level and river discharge. We show the combinations of sea levels and river discharges that cause flooding in the Conwy estuary, N Wales. The results showed flooding was amplified under moderate conditions in the middle estuary and elsewhere sea state or river flow dominated the hazard. Combined sea and river thresholds can improve prediction and early warning of compound flooding.
Shuaib Rasheed, Simon C. Warder, Yves Plancherel, and Matthew D. Piggott
Nat. Hazards Earth Syst. Sci., 24, 737–755, https://doi.org/10.5194/nhess-24-737-2024, https://doi.org/10.5194/nhess-24-737-2024, 2024
Short summary
Short summary
Here we use a high-resolution bathymetry dataset of the Maldives archipelago, as well as corresponding high numerical model resolution, to carry out a scenario-based tsunami hazard assessment for the entire Maldives archipelago to investigate the potential impact of plausible far-field tsunamis across the Indian Ocean at the island scale. The results indicate that several factors contribute to mitigating and amplifying tsunami waves at the island scale.
Niels J. Korsgaard, Kristian Svennevig, Anne S. Søndergaard, Gregor Luetzenburg, Mimmi Oksman, and Nicolaj K. Larsen
Nat. Hazards Earth Syst. Sci., 24, 757–772, https://doi.org/10.5194/nhess-24-757-2024, https://doi.org/10.5194/nhess-24-757-2024, 2024
Short summary
Short summary
A tsunami wave will leave evidence of erosion and deposition in coastal lakes, making it possible to determine the runup height and when it occurred. Here, we use four lakes now located at elevations of 19–91 m a.s.l. close to the settlement of Saqqaq, West Greenland, to show that at least two giant tsunamis occurred 7300–7600 years ago with runup heights larger than 40 m. We infer that any tsunamis from at least nine giga-scale landslides must have happened 8500–10 000 years ago.
Elke Magda Inge Meyer and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 24, 481–499, https://doi.org/10.5194/nhess-24-481-2024, https://doi.org/10.5194/nhess-24-481-2024, 2024
Short summary
Short summary
Storm tides for eight extreme historical storms in the German Bight are modelled using sets of slightly varying atmospheric conditions from the century reanalyses. Comparisons with the water level observations from the gauges Norderney, Cuxhaven and Husum show that single members of the reanalyses are suitable for the reconstruction of extreme storms. Storms with more northerly tracks show less variability within a set and have more potential for accurate reconstruction of extreme water levels.
Clare Lewis, Tim Smyth, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 24, 121–131, https://doi.org/10.5194/nhess-24-121-2024, https://doi.org/10.5194/nhess-24-121-2024, 2024
Short summary
Short summary
Meteotsunami are the result of atmospheric disturbances and can impact coastlines causing injury, loss of life, and damage to assets. This paper introduces a novel intensity index to allow for the quantification of these events at the shoreline. This has the potential to assist in the field of natural hazard assessment. It was trialled in the UK but designed for global applicability and to become a widely accepted standard in coastal planning, meteotsunami forecasting, and early warning systems.
Chu-En Hsu, Katherine A. Serafin, Xiao Yu, Christie A. Hegermiller, John C. Warner, and Maitane Olabarrieta
Nat. Hazards Earth Syst. Sci., 23, 3895–3912, https://doi.org/10.5194/nhess-23-3895-2023, https://doi.org/10.5194/nhess-23-3895-2023, 2023
Short summary
Short summary
Total water levels (TWLs) induced by tropical cyclones (TCs) are among the leading hazards faced by coastal communities. Using numerical models, we examined how TWL components (surge and wave runup) along the South Atlantic Bight varied during hurricanes Matthew (2016), Dorian (2019), and Isaias (2020). Peak surge and peak wave runup were dominated by wind speeds and relative positions to TCs. The exceedance time of TWLs was controlled by normalized distances to TC and TC translation speeds.
Maude Biguenet, Eric Chaumillon, Pierre Sabatier, Antoine Bastien, Emeline Geba, Fabien Arnaud, Thibault Coulombier, and Nathalie Feuillet
Nat. Hazards Earth Syst. Sci., 23, 3761–3788, https://doi.org/10.5194/nhess-23-3761-2023, https://doi.org/10.5194/nhess-23-3761-2023, 2023
Short summary
Short summary
This work documents the impact of Hurricane Irma (2017) on the Codrington barrier and lagoon on Barbuda Island. Irma caused two wide breaches in the sandy barrier, which remained unopened for 250 years. The thick and extensive sand sheet at the top of the lagoon fill was attributed to Irma. This unique deposit in a 3700-year record confirms Irma's exceptional character. This case study illustrates the consequences of high-intensity hurricanes in low-lying islands in a global warming context.
Leigh Richard MacPherson, Arne Arns, Svenja Fischer, Fernando Javier Méndez, and Jürgen Jensen
Nat. Hazards Earth Syst. Sci., 23, 3685–3701, https://doi.org/10.5194/nhess-23-3685-2023, https://doi.org/10.5194/nhess-23-3685-2023, 2023
Short summary
Short summary
Efficient adaptation planning for coastal flooding caused by extreme sea levels requires accurate assessments of the underlying hazard. Tide-gauge data alone are often insufficient for providing the desired accuracy but may be supplemented with historical information. We estimate extreme sea levels along the German Baltic coast and show that relying solely on tide-gauge data leads to underestimations. Incorporating historical information leads to improved estimates with reduced uncertainties.
Anne Margaret H. Smiley, Suzanne P. Thompson, Nathan S. Hall, and Michael F. Piehler
Nat. Hazards Earth Syst. Sci., 23, 3635–3649, https://doi.org/10.5194/nhess-23-3635-2023, https://doi.org/10.5194/nhess-23-3635-2023, 2023
Short summary
Short summary
Floodwaters can deliver reactive nitrogen to sensitive aquatic systems and diminish water quality. We assessed the nitrogen removal capabilities of flooded habitats and urban landscapes. Differences in processing rates across land cover treatments and between nutrient treatments suggest that abundance and spatial distributions of habitats, as well as storm characteristics, influence landscape-scale nitrogen removal. Results have important implications for coastal development and climate change.
Marine Le Gal, Tomás Fernández-Montblanc, Enrico Duo, Juan Montes Perez, Paulo Cabrita, Paola Souto Ceccon, Véra Gastal, Paolo Ciavola, and Clara Armaroli
Nat. Hazards Earth Syst. Sci., 23, 3585–3602, https://doi.org/10.5194/nhess-23-3585-2023, https://doi.org/10.5194/nhess-23-3585-2023, 2023
Short summary
Short summary
Assessing coastal hazards is crucial to mitigate flooding disasters. In this regard, coastal flood databases are valuable tools. This paper describes a new coastal flood map catalogue covering the entire European coastline, as well as the methodology to build it and its accuracy. The catalogue focuses on frequent extreme events and relies on synthetic scenarios estimated from local storm conditions. Flood-prone areas and regions sensitive to storm duration and water level peak were identified.
Neng-Ti Yu, Cheng-Hao Lu, I-Chin Yen, Jia-Hong Chen, Jiun-Yee Yen, and Shyh-Jeng Chyi
Nat. Hazards Earth Syst. Sci., 23, 3525–3542, https://doi.org/10.5194/nhess-23-3525-2023, https://doi.org/10.5194/nhess-23-3525-2023, 2023
Short summary
Short summary
A paleotsunami deposit of cliff-top basalt debris was identified on the Penghu Islands in the southern Taiwan Strait and related to the 1661 earthquake in southwest Taiwan. A minimum wave height of 3.2 m is estimated to have rotated the biggest boulder for over 30 m landwards onto the cliff top at 2.5 m a.s.l. The event must have been huge compared to the 1994 M 6.4 earthquake with the ensuing 0.4 m high tsunami in the same area, validating the intimidating tsunami risks in the South China Sea.
Ye Yuan, Huaiwei Yang, Fujiang Yu, Yi Gao, Benxia Li, and Chuang Xing
Nat. Hazards Earth Syst. Sci., 23, 3487–3507, https://doi.org/10.5194/nhess-23-3487-2023, https://doi.org/10.5194/nhess-23-3487-2023, 2023
Short summary
Short summary
Rip currents are narrow jets of offshore-directed flow that originated in the surf zone, which can take swimmers of all ability levels into deeper water unawares. In this study, a 1 m fine-resolution wave-resolving model was configured to study rip current variability and the optimal swimmer escape strategies. Multiple factors contribute to the survival of swimmers. However, for weak-to-moderate rip and longshore currents, swimming onshore consistently seems to be the most successful strategy.
Benedikt Mester, Thomas Vogt, Seth Bryant, Christian Otto, Katja Frieler, and Jacob Schewe
Nat. Hazards Earth Syst. Sci., 23, 3467–3485, https://doi.org/10.5194/nhess-23-3467-2023, https://doi.org/10.5194/nhess-23-3467-2023, 2023
Short summary
Short summary
In 2019, Cyclone Idai displaced more than 478 000 people in Mozambique. In our study, we use coastal flood modeling and satellite imagery to construct a counterfactual cyclone event without the effects of climate change. We show that 12 600–14 900 displacements can be attributed to sea level rise and the intensification of storm wind speeds due to global warming. Our impact attribution study is the first one on human displacement and one of very few for a low-income country.
Kévin Dubois, Morten Andreas Dahl Larsen, Martin Drews, Erik Nilsson, and Anna Rutgersson
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-176, https://doi.org/10.5194/nhess-2023-176, 2023
Revised manuscript under review for NHESS
Short summary
Short summary
Both extreme river discharge and storm surges can interact at the coast and lead to flooding. However, it is difficult to predict flood levels during such compound events because they are rare and complex. Here, we focus on the quantification of uncertainties; and we investigate the sources of limitations while carrying out such analyses at Halmstad city (Sweden). Based on a sensitivity analysis, we emphasize that both the choice of data source and statistical methodology influence the results.
Olivier Cavalié, Frédéric Cappa, and Béatrice Pinel-Puysségur
Nat. Hazards Earth Syst. Sci., 23, 3235–3246, https://doi.org/10.5194/nhess-23-3235-2023, https://doi.org/10.5194/nhess-23-3235-2023, 2023
Short summary
Short summary
Coastal areas are fragile ecosystems that face multiple hazards. In this study, we measured the downward motion of the Nice Côte d'Azur Airport (France) that was built on reclaimed area and found that it has subsided from 16 mm yr-1 in the 1990s to 8 mm yr-1 today. A continuous remote monitoring of the platform will provide key data for a detailed investigation of future subsidence maps, and this contribution will help to evaluate the potential failure of part of the airport platform.
Wagner L. L. Costa, Karin R. Bryan, and Giovanni Coco
Nat. Hazards Earth Syst. Sci., 23, 3125–3146, https://doi.org/10.5194/nhess-23-3125-2023, https://doi.org/10.5194/nhess-23-3125-2023, 2023
Short summary
Short summary
For predicting flooding events at the coast, topo-bathymetric data are essential. However, elevation data can be unavailable. To tackle this issue, recent efforts have centred on the use of satellite-derived topography (SDT) and bathymetry (SDB). This work is aimed at evaluating their accuracy and use for flooding prediction in enclosed estuaries. Results show that the use of SDT and SDB in numerical modelling can produce similar predictions when compared to the surveyed elevation data.
Joshua Kiesel, Marvin Lorenz, Marcel König, Ulf Gräwe, and Athanasios T. Vafeidis
Nat. Hazards Earth Syst. Sci., 23, 2961–2985, https://doi.org/10.5194/nhess-23-2961-2023, https://doi.org/10.5194/nhess-23-2961-2023, 2023
Short summary
Short summary
Among the Baltic Sea littoral states, Germany is anticipated to experience considerable damage as a result of increased coastal flooding due to sea-level rise (SLR). Here we apply a new modelling framework to simulate how flooding along the German Baltic Sea coast may change until 2100 if dikes are not upgraded. We find that the study region is highly exposed to flooding, and we emphasise the importance of current plans to update coastal protection in the future.
Zhang Haixia, Cheng Meng, and Fang Weihua
Nat. Hazards Earth Syst. Sci., 23, 2697–2717, https://doi.org/10.5194/nhess-23-2697-2023, https://doi.org/10.5194/nhess-23-2697-2023, 2023
Short summary
Short summary
Simultaneous storm surge and waves can cause great damage due to cascading effects. Quantitative joint probability analysis is critical to determine their optimal protection design values. The joint probability of the surge and wave for the eastern coasts of Leizhou Peninsula and Hainan are estimated with a Gumbel copula based on 62 years of numerically simulated data, and the optimal design values under various joint return periods are derived using the non-linear programming method.
Clare Lewis, Tim Smyth, David Williams, Jess Neumann, and Hannah Cloke
Nat. Hazards Earth Syst. Sci., 23, 2531–2546, https://doi.org/10.5194/nhess-23-2531-2023, https://doi.org/10.5194/nhess-23-2531-2023, 2023
Short summary
Short summary
Meteotsunami are globally occurring water waves initiated by atmospheric disturbances. Previous research has suggested that in the UK, meteotsunami are a rare phenomenon and tend to occur in the summer months. This article presents a revised and updated catalogue of 98 meteotsunami that occurred between 1750 and 2022. Results also demonstrate a larger percentage of winter events and a geographical pattern highlighting the
hotspotregions that experience these events.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, Joël J.-M. Hirschi, Robert J. Nicholls, and Nadia Bloemendaal
Nat. Hazards Earth Syst. Sci., 23, 2475–2504, https://doi.org/10.5194/nhess-23-2475-2023, https://doi.org/10.5194/nhess-23-2475-2023, 2023
Short summary
Short summary
We used a novel database of simulated tropical cyclone tracks to explore whether typhoon-induced storm surges present a future flood risk to low-lying coastal communities around the South China Sea. We found that future climate change is likely to change tropical cyclone behaviour to an extent that this increases the severity and frequency of storm surges to Vietnam, southern China, and Thailand. Consequently, coastal flood defences need to be reviewed for resilience against this future hazard.
Sang-Guk Yum, Moon-Soo Song, and Manik Das Adhikari
Nat. Hazards Earth Syst. Sci., 23, 2449–2474, https://doi.org/10.5194/nhess-23-2449-2023, https://doi.org/10.5194/nhess-23-2449-2023, 2023
Short summary
Short summary
This study performed analysis on typhoon-induced coastal morphodynamics for the Mokpo coast. Wetland vegetation was severely impacted by Typhoon Soulik, with 87.35 % of shoreline transects experiencing seaward migration. This result highlights the fact that sediment resuspension controls the land alteration process over the typhoon period. The land accretion process dominated during the pre- to post-typhoon periods.
Olle Räty, Marko Laine, Ulpu Leijala, Jani Särkkä, and Milla M. Johansson
Nat. Hazards Earth Syst. Sci., 23, 2403–2418, https://doi.org/10.5194/nhess-23-2403-2023, https://doi.org/10.5194/nhess-23-2403-2023, 2023
Short summary
Short summary
We studied annual maximum sea levels in the Finnish coastal region. Our aim was to better quantify the uncertainty in them compared to previous studies. Using four statistical models, we found out that hierarchical models, which shared information on sea-level extremes across Finnish tide gauges, had lower uncertainty in their results in comparison with tide-gauge-specific fits. These models also suggested that the shape of the distribution for extreme sea levels is similar on the Finnish coast.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-102, https://doi.org/10.5194/nhess-2023-102, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
We study the relationship between tracks of low-pressure systems and related sea level extremes. We perform the studies by introducing a method to simulate sea levels using synthetic low-pressure systems. We test the method using sites located along the Baltic Sea coast. We find high extremes, where the sea level extreme reach up to 3.5 meters. In addition that, we add the maximal value of the mean level of the Baltic Sea (1 m) leading to sea level of 4.5 meters.
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
EGUsphere, https://doi.org/10.5194/egusphere-2023-1365, https://doi.org/10.5194/egusphere-2023-1365, 2023
Short summary
Short summary
Two numerical codes are used in a comparative analysis of the calculation of the tsunami wave due to an earthquake along the Peruvian coast. The comparison primarily evaluates the flow velocity fields in flooded areas. The relative importance of the various parts of the equations is determined, focusing on the nonlinear terms. The influence of the nonlinearity on the degree and volume of flooding, flow velocity and small-scale fluctuations is determined.
Christian Ferrarin, Florian Pantillon, Silvio Davolio, Marco Bajo, Mario Marcello Miglietta, Elenio Avolio, Diego S. Carrió, Ioannis Pytharoulis, Claudio Sanchez, Platon Patlakas, Juan Jesús González-Alemán, and Emmanouil Flaounas
Nat. Hazards Earth Syst. Sci., 23, 2273–2287, https://doi.org/10.5194/nhess-23-2273-2023, https://doi.org/10.5194/nhess-23-2273-2023, 2023
Short summary
Short summary
The combined use of meteorological and ocean models enabled the analysis of extreme sea conditions driven by Medicane Ianos, which hit the western coast of Greece on 18 September 2020, flooding and damaging the coast. The large spread associated with the ensemble highlighted the high model uncertainty in simulating such an extreme weather event. The different simulations have been used for outlining hazard scenarios that represent a fundamental component of the coastal risk assessment.
Charline Dalinghaus, Giovanni Coco, and Pablo Higuera
Nat. Hazards Earth Syst. Sci., 23, 2157–2169, https://doi.org/10.5194/nhess-23-2157-2023, https://doi.org/10.5194/nhess-23-2157-2023, 2023
Short summary
Short summary
Wave setup is a critical component of coastal flooding. Consequently, understanding and being able to predict wave setup is vital to protect coastal resources and the population living near the shore. Here, we applied machine learning to improve the accuracy of present predictors of wave setup. The results show that the new predictors outperform existing formulas demonstrating the capability of machine learning models to provide a physically sound description of wave setup.
Ina Teutsch, Markus Brühl, Ralf Weisse, and Sander Wahls
Nat. Hazards Earth Syst. Sci., 23, 2053–2073, https://doi.org/10.5194/nhess-23-2053-2023, https://doi.org/10.5194/nhess-23-2053-2023, 2023
Short summary
Short summary
Rogue waves exceed twice the significant wave height. They occur more often than expected in the shallow waters off Norderney. When applying a nonlinear Fourier transform for the Korteweg–de Vries equation to wave data from Norderney, we found differences in the soliton spectra of time series with and without rogue waves. A strongly outstanding soliton in the spectrum indicated an enhanced probability for rogue waves. We could attribute spectral solitons to the measured rogue waves.
Philipp Heinrich, Stefan Hagemann, Ralf Weisse, Corinna Schrum, Ute Daewel, and Lidia Gaslikova
Nat. Hazards Earth Syst. Sci., 23, 1967–1985, https://doi.org/10.5194/nhess-23-1967-2023, https://doi.org/10.5194/nhess-23-1967-2023, 2023
Short summary
Short summary
High seawater levels co-occurring with high river discharges have the potential to cause destructive flooding. For the past decades, the number of such compound events was larger than expected by pure chance for most of the west-facing coasts in Europe. Additionally rivers with smaller catchments showed higher numbers. In most cases, such events were associated with a large-scale weather pattern characterized by westerly winds and strong rainfall.
Alexander Böhme, Birgit Gerkensmeier, Benedikt Bratz, Clemens Krautwald, Olaf Müller, Nils Goseberg, and Gabriele Gönnert
Nat. Hazards Earth Syst. Sci., 23, 1947–1966, https://doi.org/10.5194/nhess-23-1947-2023, https://doi.org/10.5194/nhess-23-1947-2023, 2023
Short summary
Short summary
External surges in the North Sea are caused by low-pressure cells travelling over the northeast Atlantic. They influence extreme water levels on the German coast and have to be considered in the design process of coastal defence structures. This study collects data about external surges from 1995–2020 and analyses their causes, behaviours and potential trends. External surges often occur less than 72 h apart, enabling a single storm surge to be influenced by more than one external surge.
Kenta Tozato, Shuji Moriguchi, Shinsuke Takase, Yu Otake, Michael R. Motley, Anawat Suppasri, and Kenjiro Terada
Nat. Hazards Earth Syst. Sci., 23, 1891–1909, https://doi.org/10.5194/nhess-23-1891-2023, https://doi.org/10.5194/nhess-23-1891-2023, 2023
Short summary
Short summary
This study presents a framework that efficiently investigates the optimal placement of facilities probabilistically based on advanced numerical simulation. Surrogate models for the numerical simulation are constructed using a mode decomposition technique. Monte Carlo simulations using the surrogate models are performed to evaluate failure probabilities. Using the results of the Monte Carlo simulations and the genetic algorithm, optimal placements can be investigated probabilistically.
Job C. M. Dullaart, Sanne Muis, Hans de Moel, Philip J. Ward, Dirk Eilander, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 23, 1847–1862, https://doi.org/10.5194/nhess-23-1847-2023, https://doi.org/10.5194/nhess-23-1847-2023, 2023
Short summary
Short summary
Coastal flooding is driven by storm surges and high tides and can be devastating. To gain an understanding of the threat posed by coastal flooding and to identify areas that are especially at risk, now and in the future, it is crucial to accurately model coastal inundation and assess the coastal flood hazard. Here, we present a global dataset with hydrographs that represent the typical evolution of an extreme sea level. These can be used to model coastal inundation more accurately.
Elin Andrée, Jian Su, Morten Andreas Dahl Larsen, Martin Drews, Martin Stendel, and Kristine Skovgaard Madsen
Nat. Hazards Earth Syst. Sci., 23, 1817–1834, https://doi.org/10.5194/nhess-23-1817-2023, https://doi.org/10.5194/nhess-23-1817-2023, 2023
Short summary
Short summary
When natural processes interact, they may compound each other. The combined effect can amplify extreme sea levels, such as when a storm occurs at a time when the water level is already higher than usual. We used numerical modelling of a record-breaking storm surge in 1872 to show that other prior sea-level conditions could have further worsened the outcome. Our research highlights the need to consider the physical context of extreme sea levels in measures to reduce coastal flood risk.
Ekaterina Didenkulova, Ira Didenkulova, and Igor Medvedev
Nat. Hazards Earth Syst. Sci., 23, 1653–1663, https://doi.org/10.5194/nhess-23-1653-2023, https://doi.org/10.5194/nhess-23-1653-2023, 2023
Short summary
Short summary
The paper is dedicated to freak wave accidents which happened in the world ocean in 2005–2021 and that were described in mass media sources. The database accounts for 429 events, all of which resulted in ship or coastal and offshore structure damage and/or human losses. In agreement with each freak wave event, we put background wave and wind conditions extracted from the climate reanalysis ERA5. We analyse their statistics and discuss the favourable conditions for freak wave occurrence.
Havu Pellikka, Milla M. Johansson, Maaria Nordman, and Kimmo Ruosteenoja
Nat. Hazards Earth Syst. Sci., 23, 1613–1630, https://doi.org/10.5194/nhess-23-1613-2023, https://doi.org/10.5194/nhess-23-1613-2023, 2023
Short summary
Short summary
We explore the rate of past and future sea level rise at the Finnish coast, northeastern Baltic Sea, in 1901–2100. For this analysis, we use tide gauge observations, modelling results, and a probabilistic method to combine information from several sea level rise projections. We provide projections of local mean sea level by 2100 as probability distributions. The results can be used in adaptation planning in various sectors with different risk tolerance, e.g. land use planning or nuclear safety.
Carlos Corela, Afonso Loureiro, José Luis Duarte, Luis Matias, Tiago Rebelo, and Tiago Bartolomeu
Nat. Hazards Earth Syst. Sci., 23, 1433–1451, https://doi.org/10.5194/nhess-23-1433-2023, https://doi.org/10.5194/nhess-23-1433-2023, 2023
Short summary
Short summary
We show that ocean-bottom seismometers are controlled by bottom currents, but these are not always a function of the tidal forcing. Instead we suggest that the ocean bottom has a flow regime resulting from two possible contributions: the permanent low-frequency bottom current and the tidal current along the full tidal cycle, between neap and spring tides. In the short-period noise band the ocean current generates harmonic tremors that corrupt the dataset records.
Chen Chen, Charles Koll, Haizhong Wang, and Michael K. Lindell
Nat. Hazards Earth Syst. Sci., 23, 733–749, https://doi.org/10.5194/nhess-23-733-2023, https://doi.org/10.5194/nhess-23-733-2023, 2023
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.
Ariadna Martín, Angel Amores, Alejandro Orfila, Tim Toomey, and Marta Marcos
Nat. Hazards Earth Syst. Sci., 23, 587–600, https://doi.org/10.5194/nhess-23-587-2023, https://doi.org/10.5194/nhess-23-587-2023, 2023
Short summary
Short summary
Tropical cyclones (TCs) 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 that originate through the passage of these events. A set of 1000 TCs 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.
An-Chi Cheng, Anawat Suppasri, Kwanchai Pakoksung, and Fumihiko Imamura
Nat. Hazards Earth Syst. Sci., 23, 447–479, https://doi.org/10.5194/nhess-23-447-2023, https://doi.org/10.5194/nhess-23-447-2023, 2023
Short summary
Short summary
Consecutive earthquakes occurred offshore of southern Taiwan on 26 December 2006. This event revealed unusual tsunami generation and propagation, as well as unexpected consequences for the southern Taiwanese coast (i.e., amplified waves and prolonged durations). This study aims to elucidate the source characteristics of the 2006 tsunami and the important behaviors responsible for tsunami hazards in Taiwan such as wave trapping and shelf resonance.
Jean Roger, Bernard Pelletier, Aditya Gusman, William Power, Xiaoming Wang, David Burbidge, and Maxime Duphil
Nat. Hazards Earth Syst. Sci., 23, 393–414, https://doi.org/10.5194/nhess-23-393-2023, https://doi.org/10.5194/nhess-23-393-2023, 2023
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 south-west 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 models and to discuss a larger magnitude 8.2 scenario.
Kathrin Wahle, Emil V. Stanev, and Joanna Staneva
Nat. Hazards Earth Syst. Sci., 23, 415–428, https://doi.org/10.5194/nhess-23-415-2023, https://doi.org/10.5194/nhess-23-415-2023, 2023
Short summary
Short summary
Knowledge of what causes maximum water levels is often key in coastal management. Processes, such as storm surge and atmospheric forcing, alter the predicted tide. Whilst most of these processes are modeled in present-day ocean forecasting, there is still a need for a better understanding of situations where modeled and observed water levels deviate from each other. Here, we will use machine learning to detect such anomalies within a network of sea-level observations in the North Sea.
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.
Eric Mortensen, Timothy Tiggeloven, Toon Haer, Bas van Bemmel, Dewi Le Bars, Sanne Muis, Dirk Eilander, Frederiek Sperna Weiland, Arno Bouwman, Willem Ligtvoet, and Philip J. Ward
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-284, https://doi.org/10.5194/nhess-2022-284, 2023
Revised manuscript accepted for NHESS
Short summary
Short summary
Current levels of coastal flood risk are projected to increase in coming decades due to various reasons, e.g., sea-level rise, land subsidence, and coastal urbanisation; action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on the global scale to estimate what level of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
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.
Cited articles
Basili, R., Tiberti, M. M., Kastelic, V., Romano, F., Piatanesi, A., Selva,
J., and Lorito, S.: Integrating geologic fault data into tsunami hazard
studies, Nat. Hazards Earth Syst. Sci., 13, 1025–1050,
https://doi.org/10.5194/nhess-13-1025-2013, 2013. a
Bazzurro, P. and Cornell, C.: Disaggregation of seismic hazard, B. Seismol. Soc. Am., 89, 501–520, 1999. a
Borrero, J. C., Lynett, P. J., and Kalligeris, N.: Tsunami currents in ports, Philos. T. Roy. Soc. A, 373, 20140372, https://doi.org/10.1098/rsta.2014.0372, 2015. a
Brizuela, B., Armigliato, A., and Tinti, S.: Assessment of tsunami hazards
for the Central American Pacific coast from southern Mexico to northern Peru,
Nat. Hazards Earth Syst. Sci., 14, 1889–1903,
https://doi.org/10.5194/nhess-14-1889-2014, 2014. a
Burbidge, D., Cummins, P. R., Mleczko, R., and Thio, H. K.: A Probabilistic
Tsunami Hazard Assessment for Western Australia, Pure Appl. Geophys., 165,
2059–2088, https://doi.org/10.1007/s00024-008-0421-x, 2008. a
Chock, G., Yu, G., Thio, H. K., and Lynett, P. J.: Target Structural
Reliability Analysis for Tsunami Hydrodynamic Loads of the ASCE 7 Standard,
J. Struct. Eng., 142, 04016092, https://doi.org/10.1061/(ASCE)ST.1943-541X.0001499, 2016. a
Davies, G., Horspool, N., and Miller, V.: Tsunami inundation from heterogeneous
earthquake slip distributions: Evaluation of synthetic source models, J. Geophys. Res.-Sol. Ea., 120, 6431–6451, https://doi.org/10.1002/2015JB012272,
2015. a
Davies, G., Griffin, J., Løvholt, F., Glimsdal, S., Harbitz, C., Thio,
H. K., Lorito, S., Basili, R., Selva, J., Geist, E., and Baptista, M. A.: A
global probabilistic tsunami hazard assessment from earthquake sources,
Geol. Soc. Spec. Publ., 456, 219, https://doi.org/10.1144/SP456.5,
2017. a
de la Asunción, M., Castro, M. J., Fernández-Nieto, E., Mantas, J. M.,
Acosta, S. O., and González-Vida, J. M.: Efficient GPU implementation of
a two waves TVD-WAF method for the two-dimensional one layer shallow water
system on structured meshes, selected contributions of the 23rd International Conference on Parallel
Fluid Dynamics ParCFD2011, Comput. Fluids, 80, 441–452, https://doi.org/10.1016/j.compfluid.2012.01.012, 2013. a
Gailler, A., Calais, E., Hébert, H., Roy, C., and Okal, E.: Tsunami scenarios
and hazard assessment along the northern coast of Haiti, Geophys. J. Int., 203, 2287–2302, https://doi.org/10.1093/gji/ggv428, 2015. a
Geist, E. L.: Complex earthquake rupture and local tsunamis, J. Geophys. Res.-Sol. Ea., 107, ESE2-1–ESE2-15,
https://doi.org/10.1029/2000JB000139, 2002. a
Geist, E. L. and Lynett, P. J.: Source Processes for the Probabilistic
Assessment of Tsunami Hazards, Oceanography, 27, 86–93, https://doi.org/10.5670/oceanog.2014.43, 2014. a, b
Geist, E. L. and Oglesby, D. D.: Tsunamis: Stochastic Models of Occurrence and
Generation Mechanisms, 1–29, Springer New York, New York, NY, USA, https://doi.org/10.1007/978-3-642-27737-5_595-1, 2014. a, b
Geist, E. L. and Parsons, T.: Probabilistic analysis of tsunami hazards, Nat.
Hazards, 37, 277–314, https://doi.org/10.1007/s11069-005-4646-z, 2006. a
Goda, K. and De Risi, R.: Multi-hazard loss estimation for shaking and tsunami
using stochastic rupture sources, Int. J. Disast. Risk Re., 28, 539–554, https://doi.org/10.1016/j.ijdrr.2018.01.002, 2018. a, b
González, F. I., Geist, E. L., Jaffe, B., Kanoglu, U., Mofjeld, H.,
Synolakis, C. E., Titov, V. V., Areas, D., Bellomo, D., Carlton, D., Horning,
T., Johnson, J., Newman, J., Parsons, T., Peters, R., Peterson, C., Priest,
G., Venturato, A., Weber, J., Wong, F., and Yalciner, A.: Probabilistic
tsunami hazard assessment at Seaside, Oregon, for near-and far-field
seismic sources, J. Geophys. Res.-Sol. Ea., 114, C11023,
https://doi.org/10.1029/2008JC005132, 2009. a, b, c
Grezio, A., Babeyko, A., Baptista, M. A., Behrens, J., Costa, A., Davies, G.,
Geist, E. L., Glimsdal, S., González, F. I., Griffin, J., Harbitz, C. B.,
LeVeque, R. J., Lorito, S., Løvholt, F., Omira, R., Mueller, C., Paris,
R., Parsons, T., Polet, J., Power, W., Selva, J., Sørensen, M. B., and Thio,
H. K.: Probabilistic Tsunami Hazard Analysis (PTHA): multiple sources and
global applications, Rev. Geophys., 55, 1158–1198, https://doi.org/10.1002/2017RG000579, 2017. a, b
Griffin, J. D., Pranantyo, I. R., Kongko, W., Haunan, A., Robiana,
R., Miller, V., Davies, G., Horspool, N., Maemunah, I., Widjaja,
W. B., Natawidjaja, D. H., and Latief, H.: Assessing tsunami hazard
using heterogeneous slip models in the Mentawai Islands, Indonesia,
Geol. Soc. Spec. Publ., 441, 47–70,
https://doi.org/10.1144/SP441.3, 2017. a, b
Gusman, A. R., Tanioka, Y., MacInnes, B. T., and Tsushima, H.: A methodology
for near-field tsunami inundation forecasting: Application to the 2011 Tohoku
tsunami, J. Geophys. Res.-Sol. Ea., 119, 8186–8206,
https://doi.org/10.1002/2014JB010958, 2014. a
Harbitz, C., Glimsdal, S., Bazin, S., Zamora, N., Løvholt, F., Bungum, H.,
Smebye, H., Gauer, P., and Kjekstad, O.: Tsunami hazard in the Caribbean:
Regional exposure derived from credible worst case scenarios, Cont. Shelf. Res., 38, 1–23, https://doi.org/10.1016/j.csr.2012.02.006, 2012. a
Hoechner, A., Babeyko, A. Y., and Zamora, N.: Probabilistic tsunami hazard
assessment for the Makran region with focus on maximum magnitude assumption,
Nat. Hazards Earth Syst. Sci., 16, 1339–1350,
https://doi.org/10.5194/nhess-16-1339-2016, 2016. a
Horspool, N., Pranantyo, I., Griffin, J., Latief, H., Natawidjaja, D. H.,
Kongko, W., Cipta, A., Bustaman, B., Anugrah, S. D., and Thio, H. K.: A
probabilistic tsunami hazard assessment for Indonesia, Nat. Hazards Earth
Syst. Sci., 14, 3105–3122, https://doi.org/10.5194/nhess-14-3105-2014, 2014. a
Kajiura, K.: The leading wave of a tsunami, B. Earthq. Res. I., 41,
535–571, 1963. a
Kaufman, L. and Rousseeuw, P. J.: Finding Groups in Data: An Introduction to
Cluster Analysis, John Wiley & Sons, Inc., Hoboken, New Jersey, 2009. a
Lay, T.: The surge of great earthquakes from 2004 to 2014, Earth Planet. Sc.
Lett., 409, 133–146, https://doi.org/10.1016/j.epsl.2014.10.047, 2015. a
LeVeque, R., Waagan, K., González, F., Rim, D., and Lin, G.: Generating
random
earthquake events for probabilistic tsunami hazard assessment, Pure Appl.
Geophys., 173, 3671–3692, https://doi.org/10.1007/s00024-016-1357-1, 2016. a
Li, L., Switzer, A. D., Chan, C.-H., Wang, Y., Weiss, R., and Qiu, Q.: How
heterogeneous coseismic slip affects regional probabilistic tsunami hazard
assessment: A case study in the South China Sea, J. Geophys. Res.-Sol. Ea., 121, 6250–6272, https://doi.org/10.1002/2016JB013111, 2016. a
Lin, I. and Tung, C.: A preliminary investigation of tsunami hazard, B.
Seismol. Soc. Am., 72, 2323–2337, 1982. a
Lorito, S., Tiberti, M. M., Basili, R., Piatanesi, A., and Valensise, G.:
Earthquake-generated tsunamis in the Mediterranean Sea: Scenarios of
potential threats to Southern Italy, J. Geophys. Res.-Sol. Ea., 113,
B01301, https://doi.org/10.1029/2007JB004943, 2008. a
Lorito, S., Piatanesi, A., Cannelli, V., Romano, F., and Melini, D.: Kinematics
and source zone properties of the 2004 Sumatra-Andaman earthquake and
tsunami: Nonlinear joint inversion of tide gauge, satellite altimetry, and
GPS data, J. Geophys. Res.-Sol. Ea., 115, B02304, https://doi.org/10.1029/2008JB005974,
2010. a
Lorito, S., Selva, J., Basili, R., Romano, F., Tiberti, M. M., and Piatanesi,
A.: Probabilistic Hazard for Seismically-Induced Tsunamis: Accuracy and
Feasibility of Inundation Maps, Geophys. J. Int., 200, 574–588,
https://doi.org/10.1093/gji/ggu408, 2015. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u
Lorito, S., Romano, F., and Lay, T.: Tsunamigenic Major and Great Earthquakes
(2004–2013): Source Processes Inverted from Seismic, Geodetic, and Sea-Level
Data, in: Encyclopedia of Complexity and Systems Science, edited by: Meyers,
R. A., 1–52, Springer Berlin Heidelberg, Berlin, Heidelberg,
https://doi.org/10.1007/978-3-642-27737-5_641-1, 2016. a
Løvholt, F., Bungum, H., Harbitz, C. B., Glimsdal, S., Lindholm, C. D.,
and Pedersen, G.: Earthquake related tsunami hazard along the western coast
of Thailand, Nat. Hazards Earth Syst. Sci., 6, 979–997,
https://doi.org/10.5194/nhess-6-979-2006, 2006. a
Løvholt, F., Glimsdal, S., Harbitz, C. B., Zamora, N., Nadim, F., Peduzzi,
P., Dao, H., and Smebye, H.: Tsunami hazard and exposure on the global scale,
Earth-Sci. Rev., 110, 58–73, https://doi.org/10.1016/j.earscirev.2011.10.002,
2012a. a
Løvholt, F., Pedersen, G., Bazin, S., Kühn, D., Bredesen, R. E., and Harbitz, C.: Stochastic analysis of tsunami runup due to heterogeneous coseismic slip
and dispersion, J. Geophys. Res.-Oceans, 117, C03047, https://doi.org/10.1029/2011JC007616, 2012b. a
Løvholt, F., Davies, G., Griffin, J., Lorito, S., Volpe, M., Romano, F.,
Galvez, M. S., Geist, E., Ross, S., Ayrebe, I. A., Fraser, S., Thio, H. K.,
Canals, M., Gonzalez, F., Polet, J., Mokhtari, M., Kanoglu, U., Paris, R.,
Andrade, C., Baptista, M. A., Latief, H., and Papadopoulos, G.: Tsunami
Hazard and Risk Assessment, in: Words into Action guidelines: National
disaster risk assessment, Hazard Specific Risk Assessment, chap. 2, United
Nations Office for Disaster Risk Reduction (UNISDR), Geneva, 2017. a
Lynett, P., Wei, Y., and Arcas, D.: Tsunami Hazard Assessment: Best Modeling
Practices and State-of-the-Art Technology, Nureg/cr-7223, U.S. Nuclear Regulatory Commission, Washington, DC, 2016. a
Macías, J., Mercado, A., Gonzalez-Vida, J. M., Ortega, S., and Castro, M.:
Comparison and Computational Performance of Tsunami-HySEA and MOST
Models for LANTEX 2013 Scenario: Impact Assessment on Puerto Rico
Coasts, Pure Appl. Geophys., 173, 3973–3997, https://doi.org/10.1007/s00024-016-1387-8,
2016. a
Macías, J., Castro, M. J., Ortega, S., Escalante, C., and
González-Vida, J. M.: Performance Benchmarking of Tsunami-HySEA Model for
NTHMP's Inundation Mapping Activities, Pure Appl. Geophys., 174, 3147–3183,
https://doi.org/10.1007/s00024-017-1583-1, 2017. a
Marzocchi, W., Taroni, M., and Selva, J.: Accounting for epistemic uncertainty
in PSHA: Logic Tree and ensemble modeling, B. Seismol. Soc. Am., 105,
2151–2159, https://doi.org/10.1785/0120140131, 2015. a
Meade, B. J.: Algorithms for the calculation of exact displacements, strains,
and stresses for triangular dislocation elements in a uniform elastic half
space, Comput. Geosci., 33, 1064–1075,
https://doi.org/10.1016/j.cageo.2006.12.003, 2007. a
Molinari, I., Tonini, R., Lorito, S., Piatanesi, A., Romano, F., Melini, D.,
Hoechner, A., González Vida, J. M., Maciás, J., Castro, M. J., and de la
Asunción, M.: Fast evaluation of tsunami scenarios: uncertainty assessment
for a Mediterranean Sea database, Nat. Hazards Earth Syst. Sci., 16,
2593–2602, https://doi.org/10.5194/nhess-16-2593-2016, 2016. a
Mueller, C., Power, W., Fraser, S., and Wang, X.: Effects of rupture complexity
on local tsunami inundation: Implications for probabilistic tsunami hazard
assessment by example, J. Geophys. Res.-Sol. Ea., 120, 488–502,
https://doi.org/10.1002/2014JB011301, 2014. a, b
Murphy, S., Scala, A., Herrero, A., Lorito, S., Festa, G., Trasatti, E.,
Tonini, R., Romano, F., Molinari, I., and Nielsen, S.: Shallow slip
amplification and enhanced tsunami hazard unravelled by dynamic simulations
of mega-thrust earthquakes, Sci. Rep., 6, 35007, https://doi.org/10.1038/srep35007, 2016. a
Okada, Y.: Surface deformation due to shear and tensile faults in a half-space,
B. Seismol. Soc. Am., 75, 1135–1154, 1985. a
Park, H. S. and Jun, C. H.: A simple and fast algorithm for K-medoids
clustering, Expert Syst. Appl., 36, 3336–3341,
https://doi.org/10.1016/j.eswa.2008.01.039, 2009. a
Power, W., Wang, X., Wallace, L., Clark, K., and Mueller, C.: The New Zealand
Probabilistic Tsunami Hazard Model: development and implementation of a
methodology for estimating tsunami hazard nationwide, Geol. Soc. Spec. Publ., 456, 199, https://doi.org/10.1144/SP456.6,
2017. a
Rikitake, B. T. and Aida, I.: Tsunami hazard probability in Japan, B. Seismol. Soc. Am., 78, 126–1278, 1988. a
Romano, F., Piatanesi, A., Lorito, S., and Hirata, K.: Slip distribution of the
2003 Tokachi-oki Mw 8.1 earthquake from joint inversion of tsunami waveforms
and geodetic data, J. Geophys. Res.-Sol. Ea., 115, B11313, https://doi.org/10.1029/2009JB006665, 2010. a
Satake, K., Fujii, Y., Harada, T., and Namegaya, Y.: Time and Space
Distribution of Coseismic Slip of the 2011 Tohoku Earthquake as Inferred from
Tsunami Waveform DataTime and Space Distribution of Coseismic Slip of the
2011 Tohoku Earthquake, B. Seismol. Soc. Am.,
103, 1473–1492, https://doi.org/10.1785/0120120122, 2013. a
Selva, J., Tonini, R., Molinari, I., Tiberti, M. M., Romano, F., Grezio, A.,
Melini, D., Piatanesi, A., Basili, R., and Lorito, S.: Quantification of
source uncertainties in Seismic Probabilistic Tsunami Hazard Analysis
(SPTHA), Geophys. J. Int., 205, 1780–1803, https://doi.org/10.1093/gji/ggw107, 2016. a, b, c, d, e, f, g, h, i, j, k, l, m, n
Sepúlveda, I., Liu, P. L., Grigoriu, M., and Pritchard, M.: Tsunami hazard
assessments with consideration of uncertain earthquake slip distribution and
location, J. Geophys. Res.-Sol. Ea., 122, 7252–7271,
https://doi.org/10.1002/2017JB014430, 2017. a
Synolakis, C. and Kânoğlu, U.: The Fukushima accident was preventable,
Philos. T. Roy. Soc. A, 373, 20140379, https://doi.org/10.1098/rsta.2014.0379, 2015. a
Tarquini, S., Isola, I., Favalli, M., Mazzarini, F., Bisson, M., Pareschi,
M. T., and Boschi, E.: TINITALY/01: a new Triangular Irregular Network of
Italy, Ann. Geophys., 50, 407–425, https://doi.org/10.4401/ag-4424, 2007. a
Tarquini, S., Vinci, S., Favalli, M., Doumaz, F., Fornaciai, A., and
Nannipieri, L.: Release of a 10-m-resolution DEM for the Italian territory:
Comparison with global-coverage DEMs and anaglyph-mode exploration via the
web, Comput. Geosci., 38, 168–170,
https://doi.org/10.1016/j.cageo.2011.04.018, 2012. a
Thio, H. K., Somerville, P. G., and Polet, J.: Probabilistic Tsunami
Hazard in California, PEER Report 2010/108, Pacific Earthquake Engineering Research Center, College of Engineering, University of California,
Berkeley, 2010. a
Tinti, S. and Armigliato, A.: The use of scenarios to evaluate tsunami impact
in southern Italy, Mar. Geol., 199, 221–243, 2003. a
Tonini, R., Armigliato, A., Pagnoni, G., Zaniboni, F., and Tinti, S.: Tsunami
hazard for the city of Catania, eastern Sicily, Italy, assessed by means of
Worst-case Credible Tsunami Scenario Analysis (WCTSA), Nat. Hazards Earth
Syst. Sci., 11, 1217–1232, https://doi.org/10.5194/nhess-11-1217-2011, 2011. a
Altmetrics
Final-revised paper
Preprint