Articles | Volume 24, issue 3
https://doi.org/10.5194/nhess-24-973-2024
© Author(s) 2024. 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-24-973-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Mar 2024
Research article |
| 21 Mar 2024
| 21 Mar 2024
Thresholds for estuarine compound flooding using a combined hydrodynamic–statistical modelling approach
Charlotte Lyddon
CORRESPONDING AUTHOR
Department of Geography and Planning, University of Liverpool, Liverpool, UK
Nguyen Chien
School of Engineering, University of Edinburgh, Edinburgh, UK
Grigorios Vasilopoulos
School of Environmental Sciences, University of Hull, Hull, UK
Michael Ridgill
School of Ocean Sciences, Bangor University, Bangor, UK
Sogol Moradian
Civil Engineering, University of Galway, Galway, Ireland
Agnieszka Olbert
Civil Engineering, University of Galway, Galway, Ireland
Thomas Coulthard
School of Environmental Sciences, University of Hull, Hull, UK
Andrew Barkwith
British Geological Survey, Keyworth, Nottingham, UK
Peter Robins
School of Ocean Sciences, Bangor University, Bangor, UK
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Chayan Banerjee, Kien Nguyen, Clinton Fookes, Gregory Hancock, and Thomas Coulthard
EGUsphere, https://doi.org/10.5194/egusphere-2024-1191, https://doi.org/10.5194/egusphere-2024-1191, 2024
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In geosciences, the reliance on numerical models necessitates the precise calibration of their parameters to effectively translate information from observed to unobserved settings. We introduce a generalizable framework for calibrating numerical models, with a case study of the geomorphological model CAESAR-Lisflood. This approach efficiently identifies the optimal set of parameters for a given numerical model, enabling retrospective and prospective analyses at various temporal resolutions.
Christopher J. Skinner and Thomas J. Coulthard
Earth Surf. Dynam., 11, 695–711, https://doi.org/10.5194/esurf-11-695-2023, https://doi.org/10.5194/esurf-11-695-2023, 2023
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Landscape evolution models allow us to simulate the way the Earth's surface is shaped and help us to understand relevant processes, in turn helping us to manage landscapes better. The models typically represent the land surface using a grid of square cells of equal size, averaging heights in those squares. This study shows that the size chosen by the modeller for these grid cells is important, with larger sizes making sediment output events larger but less frequent.
Matthew D. Wilson and Thomas J. Coulthard
Geosci. Model Dev., 16, 2415–2436, https://doi.org/10.5194/gmd-16-2415-2023, https://doi.org/10.5194/gmd-16-2415-2023, 2023
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During flooding, the sources of water that inundate a location can influence impacts such as pollution. However, methods to trace water sources in flood events are currently only available in complex, computationally expensive hydraulic models. We propose a simplified method which can be added to efficient, reduced-complexity model codes, enabling an improved understanding of flood dynamics and its impacts. We demonstrate its application for three sites at a range of spatial and temporal scales.
Christopher R. Hackney, Grigorios Vasilopoulos, Sokchhay Heng, Vasudha Darbari, Samuel Walker, and Daniel R. Parsons
Earth Surf. Dynam., 9, 1323–1334, https://doi.org/10.5194/esurf-9-1323-2021, https://doi.org/10.5194/esurf-9-1323-2021, 2021
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Unsustainable sand mining poses a threat to the stability of river channels. We use satellite imagery to estimate volumes of material removed from the Mekong River, Cambodia, over the period 2016–2020. We demonstrate that current rates of extraction now exceed previous estimates for the entire Mekong Basin and significantly exceed the volume of sand naturally transported by the river. Our work highlights the importance of satellite imagery in monitoring sand mining activity over large areas.
Chloe Leach, Tom Coulthard, Andrew Barkwith, Daniel R. Parsons, and Susan Manson
Geosci. Model Dev., 14, 5507–5523, https://doi.org/10.5194/gmd-14-5507-2021, https://doi.org/10.5194/gmd-14-5507-2021, 2021
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Numerical models can be used to understand how coastal systems evolve over time, including likely responses to climate change. However, many existing models are aimed at simulating 10- to 100-year time periods do not represent a vertical dimension and are thus unable to include the effect of sea-level rise. The Coastline Evolution Model 2D (CEM2D) presented in this paper is an advance in this field, with the inclusion of the vertical coastal profile against which the water level can be altered.
Sepehr Eslami, Piet Hoekstra, Herman W. J. Kernkamp, Nam Nguyen Trung, Dung Do Duc, Hung Nguyen Nghia, Tho Tran Quang, Arthur van Dam, Stephen E. Darby, Daniel R. Parsons, Grigorios Vasilopoulos, Lisanne Braat, and Maarten van der Vegt
Earth Surf. Dynam., 9, 953–976, https://doi.org/10.5194/esurf-9-953-2021, https://doi.org/10.5194/esurf-9-953-2021, 2021
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Increased salt intrusion jeopardizes freshwater supply to the Mekong Delta, and the current trends are often inaccurately associated with sea level rise. Using observations and models, we show that salinity is highly sensitive to ocean surge, tides, water demand, and upstream discharge. We show that anthropogenic riverbed incision has significantly amplified salt intrusion, exemplifying the importance of preserving sediment budget and riverbed levels to protect deltas against salt intrusion.
Andrew Barkwith, Stan E. Beaubien, Thomas Barlow, Karen Kirk, Thomas R. Lister, Maria C. Tartarello, and Helen Taylor-Curran
Geosci. Instrum. Method. Data Syst., 9, 483–490, https://doi.org/10.5194/gi-9-483-2020, https://doi.org/10.5194/gi-9-483-2020, 2020
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Soil gas flux describes the movement of various gases either to or from the ground. Identifying changes in soil gas flux can lead to a better understanding and detection of leakage from carbon capture and storage (CCS) schemes, diffuse degassing in volcanic and geothermal areas, and greenhouse gas emissions. Traditional chamber-based techniques may require weeks of fieldwork to assess a site. We present a new method to speed up the assessment of diffuse leakage.
Christopher J. Skinner, Tom J. Coulthard, Wolfgang Schwanghart, Marco J. Van De Wiel, and Greg Hancock
Geosci. Model Dev., 11, 4873–4888, https://doi.org/10.5194/gmd-11-4873-2018, https://doi.org/10.5194/gmd-11-4873-2018, 2018
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Landscape evolution models are computer models used to understand how the Earth’s surface changes over time. Although designed to look at broad changes over very long time periods, they could potentially be used to predict smaller changes over shorter periods. However, to do this we need to better understand how the models respond to changes in their set-up – i.e. their behaviour. This work presents a method which can be applied to these models in order to better understand their behaviour.
Andres Payo, Bismarck Jigena Antelo, Martin Hurst, Monica Palaseanu-Lovejoy, Chris Williams, Gareth Jenkins, Kathryn Lee, David Favis-Mortlock, Andrew Barkwith, and Michael A. Ellis
Geosci. Model Dev., 11, 4317–4337, https://doi.org/10.5194/gmd-11-4317-2018, https://doi.org/10.5194/gmd-11-4317-2018, 2018
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We describe a new algorithm that automatically delineates the cliff top and toe of a cliffed coastline from a digital elevation model (DEM). The algorithm builds upon existing methods but is specifically designed to resolve very irregular planform coastlines with many bays and capes, such as parts of the coastline of Great Britain.
Christopher W. Thomas, A. Brad Murray, Andrew D. Ashton, Martin D. Hurst, Andrew K. A. P. Barkwith, and Michael A. Ellis
Earth Surf. Dynam., 4, 871–884, https://doi.org/10.5194/esurf-4-871-2016, https://doi.org/10.5194/esurf-4-871-2016, 2016
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Complex sandy coastlines, such as capes and spits, are important socio-economically while underpinning and protecting important natural habitats. Although they may protect inshore areas, they are inherently fragile and susceptible to erosion. We have explored how spits and capes might adapt to changing wave climate through modelling. We find that coastlines may not be in equilibrium with current conditions, and past shapes may strongly influence those adapting to new wave climates.
Jorge A. Ramirez, Umamaheshwaran Rajasekar, Dhruvesh P. Patel, Tom J. Coulthard, and Margreth Keiler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-544, https://doi.org/10.5194/hess-2016-544, 2016
Preprint retracted
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Surat, India has a population of 4.5 million and lies on the banks of the river Tapi and is located downstream from a dam that repeatedly floods the city. Floods in Surat may increase in occurrence due to urbanization and climate change. We have developed a model that floods 50 % of the city and exposes > 60 % of the population and critical infrastructure. We highlight how modeling has contributed to changes in flood risk management and resulted in actions that increase city resilience.
Tom J. Coulthard and Christopher J. Skinner
Earth Surf. Dynam., 4, 757–771, https://doi.org/10.5194/esurf-4-757-2016, https://doi.org/10.5194/esurf-4-757-2016, 2016
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Landscape evolution models are driven by climate or precipitation data. We show that higher-resolution data lead to greater basin sediment yields (> 100 % increase) despite minimal changes in hydrological outputs. Spatially, simulations over 1000 years show finer-resolution data lead to a systematic bias of more erosion in headwater streams with more deposition in valley floors. This could have important implications for the long-term predictions of past and present landscape evolution models.
T. J. Coulthard and M. J. Van de Wiel
Earth Surf. Dynam., 1, 13–27, https://doi.org/10.5194/esurf-1-13-2013, https://doi.org/10.5194/esurf-1-13-2013, 2013
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Coastal areas are at risk of flooding from rising sea levels and extreme weather events. This study applies a new approach to estimating the likelihood of coastal flooding around the world. The method uses data from observations and computer models to create a detailed map of where these coastal floods might occur. The approach can predict flooding in areas for which there are few or no data available. The results can be used to help prepare for and prevent this type of flooding.
Guangsheng Zhao and Xiaojing Niu
Nat. Hazards Earth Syst. Sci., 24, 2303–2313, https://doi.org/10.5194/nhess-24-2303-2024, https://doi.org/10.5194/nhess-24-2303-2024, 2024
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The purpose of this study is to estimate the spatial distribution of the tsunami hazard in the South China Sea from the Manila subduction zone. The plate motion data are used to invert the degree of locking on the fault plane. The degree of locking is used to estimate the maximum possible magnitude of earthquakes and describe the slip distribution. A spatial distribution map of the 1000-year return period tsunami wave height in the South China Sea was obtained by tsunami hazard assessment.
Mandana Ghanavati, Ian R. Young, Ebru Kirezci, and Jin Liu
Nat. Hazards Earth Syst. Sci., 24, 2175–2190, https://doi.org/10.5194/nhess-24-2175-2024, https://doi.org/10.5194/nhess-24-2175-2024, 2024
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The paper examines the changes in shoreline position of the coast of south-east Australia over a 26-year period to determine whether changes are consistent with observed changes in ocean wave and storm surge climate. The results show that in regions where there have been significant changes in wave energy flux or wave direction, there have also been changes in shoreline position consistent with non-equilibrium longshore drift.
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Nat. Hazards Earth Syst. Sci., 24, 2065–2069, https://doi.org/10.5194/nhess-24-2065-2024, https://doi.org/10.5194/nhess-24-2065-2024, 2024
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We investigate buoy and radar measurement data from shallow depths in the southern North Sea. We analyze the role of solitons for the occurrence of rogue waves. This is done by computing the nonlinear soliton spectrum of each time series. In a previous study that considered a single measurement site, we found a connection between the shape of the soliton spectrum and the occurrence of rogue waves. In this study, results for two additional sites are reported.
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Changes in sea levels alone do not determine the evolution of coastal hazards. Coastal hazard changes should be assessed using additional factors describing geomorphological configurations, metocean event types (storms, cyclones, long swells, and tsunamis), and the marine environment (e.g., coral reef state and sea ice extent). The assessment completed here, at regional scale including the coasts of mainland and overseas France, highlights significant differences in hazard changes.
Jani Särkkä, Jani Räihä, Mika Rantanen, and Matti Kämäräinen
Nat. Hazards Earth Syst. Sci., 24, 1835–1842, https://doi.org/10.5194/nhess-24-1835-2024, https://doi.org/10.5194/nhess-24-1835-2024, 2024
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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 reaches up to 3.5 m. In addition, we add the maximal value of the mean level of the Baltic Sea (1 m), leading to a sea level of 4.5 m.
Alexey Androsov, Sven Harig, Natalia Zamora, Kim Knauer, and Natalja Rakowsky
Nat. Hazards Earth Syst. Sci., 24, 1635–1656, https://doi.org/10.5194/nhess-24-1635-2024, https://doi.org/10.5194/nhess-24-1635-2024, 2024
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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.
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., 24, 1381–1400, https://doi.org/10.5194/nhess-24-1381-2024, https://doi.org/10.5194/nhess-24-1381-2024, 2024
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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 urbanization: action is needed to minimize this future risk. We evaluate dykes and coastal levees, foreshore vegetation, zoning restrictions, and dry-proofing on a global scale to estimate what levels of risk reductions are possible. We demonstrate that there are several potential adaptation pathways forward for certain areas of the world.
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
Revised manuscript accepted for NHESS
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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.
Sergio Padilla, Íñigo Aniel-Quiroga, Rachid Omira, Mauricio González, Jihwan Kim, and Maria A. Baptista
EGUsphere, https://doi.org/10.5194/egusphere-2024-663, https://doi.org/10.5194/egusphere-2024-663, 2024
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The eruption of the Hunga Tonga-Hunga Ha’apai volcano in January 2022 triggered a global phenomenon, including an atmospheric wave and a volcano-meteorological tsunami (VMT). The tsunami, reaching as far as Callao, Peru, 10,000 km away, caused significant coastal impacts. A study delves into understanding these effects, particularly on vessel moorings safety. The findings underscore the importance of enhancing TWS and preparing port authorities for managing such rare events.
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
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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
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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
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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.
Ming-Huei Chang, Yen-Chen Huang, Yu-Hsin Cheng, Chuen-Teyr Terng, Jinyi Chen, and Jyh Cherng Jan
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-218, https://doi.org/10.5194/nhess-2023-218, 2024
Revised manuscript accepted for NHESS
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Monitoring the long-term trends in sea surface warming is crucial for informed decision-making and adaptation. This study offers a comprehensive examination of prevalent trend extraction methods. We identify ordinary least squares as suitable for general tasks yet highlight the need to address seasonal signal-induced bias, specifically the phase-distance imbalance. Our implementation, evaluated with simulated and realist data, provides a potential solution.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
Mithun Deb, James Benedict, Ning Sun, Zhaoqing Yang, Robert Hetland, David Judi, and Taiping Wang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2134, https://doi.org/10.5194/egusphere-2023-2134, 2023
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We coupled earth system, hydrology, and hydrodynamic models to generate plausible and physically consistent ensembles of hurricane events and their associated water levels from the open coast to tidal rivers of Delaware Bay and River. Our results show that the hurricane landfall locations and the estuarine wind can significantly amplify the extreme surge in a shallow and converging system, especially when the wind direction aligns with the surge propagation direction.
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
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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
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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
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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
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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
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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
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We used a novel database of simulated tropical cyclone tracks to explore whether typhoon-induced storm surges present a future flood risk to low-lying coastal communities around the South China Sea. We found that future climate change is likely to change tropical cyclone behaviour to an extent that this increases the severity and frequency of storm surges to Vietnam, southern China, and Thailand. Consequently, coastal flood defences need to be reviewed for resilience against this future hazard.
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
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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
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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.
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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In this work, we examine a set of observed extreme, non-earthquake-related and non-landslide-related wave runup events. Runup events with similar characteristics have previously been attributed to trapped waves, atmospheric disturbances, and abrupt breaking of long waves. However, we find that none of these mechanisms were likely at work in the observations we examined. We show that instead, these runup events were more likely due to energetic growth of bound infragravity waves.
Shan Liu, Xianwu Shi, Qiang Liu, Jun Tan, Yuxi Sun, Qingrong Liu, and Haoshuang Guo
Nat. Hazards Earth Syst. Sci., 23, 127–138, https://doi.org/10.5194/nhess-23-127-2023, https://doi.org/10.5194/nhess-23-127-2023, 2023
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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.
Cited articles
Abbasian, M. S., Jalali, S., and Mousavi Nadoushani, S. S.: Multivariate Flood Frequency Analysis Using Copula with Parametric and Nonparametric Marginal Distribution Function, MCEJ, 14, 81–92, http://mcej.modares.ac.ir/article-16-10840-en.html (last access: 12 March 2024), 2015.
Akoglu, H.: User's guide to correlation coefficients, Turkish Journal of Emergency Medicine, 18, 91–93, https://doi.org/10.1016/j.tjem.2018.08.001, 2018.
Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., and Thielen, J.: Operational early warning systems for water-related hazards in Europe, Environ. Sci. Policy, 21, 35–49, https://doi.org/10.1016/j.envsci.2012.01.008, 2012.
Alfieri, L., Feyen, L., Salamon, P., Thielen, J., Bianchi, A., Dottori, F., and Burek, P.: Modelling the socio-economic impact of river floods in Europe, Nat. Hazards Earth Syst. Sci., 16, 1401–1411, https://doi.org/10.5194/nhess-16-1401-2016, 2016.
Archer, D., O'Donnell, G., Lamb, R., Warren, S., and Fowler, H. J.: Historical flash floods in England: New regional chronologies and database, J. Flood Risk Manage., 12, e12526, https://doi.org/10.1111/jfr3.12526, 2019.
Barbier, E. B., Hacker, S. D., Kennedy, C., Koch, E. W., Stier, A. C., and Silliman, B. R.: The value of estuarine and coastal ecosystem services, Ecol. Monogr.s, 81, 2, 169–193, https://doi.org/10.1890/10-1510.1, 2011.
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood Inundation modelling, J. Hydrol., 387, 33–45, https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010.
BBC: National Eisteddfod: Flooding worries over Llanrwst site, https://www.bbc.co.uk/news/uk-wales-47666319 (last access: April 2023), 2019.
BBC: Storm Ciara: Dramatic scenes across Wales, https://www.bbc.co.uk/news/uk-wales-51434782 (last access: April 2023), 2020.
Bell, P. S., Bird, C. O., and Plater, A. J.: A temporal waterline approach to mapping intertidal areas using X-band marine radar, Coast. Eng., 107, 84–101, https://doi.org/10.1016/j.coastaleng.2015.09.009, 2015.
Bevacqua, E., Vousdoukas, M. I., Zappa, G., Hodges, K., Shepherd, T. G., Maraun, D., Mentaschi, L., and Feyen, L.: More meteorological events that drive compound coastal flooding are projected under climate change, Commun. Earth Environ., 1, 1, https://doi.org/10.1038/s43247-020-00044-z, 2020.
Bilskie, M. V. and Hagen, S. C.: Defining Flood Zone Transitions in Low-Gradient Coastal Regions, Geophys. Res. Lett., 45, 2761–2770, https://doi.org/10.1002/2018gl077524, 2018.
Bird, C. O., Bell, P. S., and Plater, A. J.: Application of marine radar to monitoring seasonal and event-based changes in intertidal morphology, Geomorphology, 285, 1–15, https://doi.org/10.1016/j.geomorph.2017.02.002, 2017.
Camus, P., Haigh, I. D., Nasr, A. A., Wahl, T., Darby, S. E., and Nicholls, R. J.: Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns, Nat. Hazards Earth Syst. Sci., 21, 2021–2040, https://doi.org/10.5194/nhess-21-2021-2021, 2021.
Cai, H., Savenije, H. H. G., and Toffolon, M.: Linking the river to the estuary: influence of river discharge on tidal damping, Hydrol. Earth Syst. Sci., 18, 287–304, https://doi.org/10.5194/hess-18-287-2014, 2014.
Census: Coastal towns in England and Wales: October 2020, https://www.ons.gov.uk/businessindustryandtrade/tourismindustry/articles/coastaltownsinenglandandwales/2020-10-06 (last access: May 2023), 2020.
Cesbron, G., Melet, A., Almar, R., Lifermann, A., Tullot, D., and Crosnier, L.: Pan-European Satellite-Derived Coastal Bathymetry – Review, User Needs and Future Services, Front. Mar. Sci., 8, 740830, https://doi.org/10.3389/fmars.2021.740830, 2021.
Chilton, D., Hamilton, D. P., Nagelkerken, I., Cook, P., Hipsey, M. R., Reid, R., Sheaves, M., Waltham, N. J., and Brookes, J.: Environmental Flow Requirements of Estuaries: Providing Resilience to Current and Future Climate and Direct Anthropogenic Changes, Front. Environ. Sci., 9, 764218, https://doi.org/10.3389/fenvs.2021.764218, 2021.
Chow, V. T., Maidment, D. R., and Mays, L. W.: Applied Hydrology, International Edition, McGraw-Hill Book Company, New York, ISBN 9780070108110, 1988.
Cipollini, P., Calafat, F. M., Jevrejeva, S., Melet, A., and Prandi, P.: Monitoring Sea Level in the Coastal Zone with Satellite Altimetry and Tide Gauges, Surv. Geophys., 38, 33–57, https://doi.org/10.1007/s10712-016-9392-0, 2016.
Coles, S.: An Introduction to Statistical Modeling of Extreme Values, Springer, London, https://doi.org/10.1007/978-1-4471-3675-0, 2001.
Costa, W. L. L., Bryan, K. R., and Coco, G.: Modelling tides and storm surge using intertidal bathymetry derived from the waterline method applied to multispectral satellite images, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-387, 2022.
Costa, W. L. L., Bryan, K. R., and Coco, G.: Modelling extreme water levels using intertidal topography and bathymetry derived from multispectral satellite images, Nat. Hazards Earth Syst. Sci., 23, 3125–3146, https://doi.org/10.5194/nhess-23-3125-2023, 2023.
Couasnon, A., Eilander, D., Muis, S., Veldkamp, T. I. E., Haigh, I. D., Wahl, T., Winsemius, H. C., and Ward, P. J.: Measuring compound flood potential from river discharge and storm surge extremes at the global scale, Nat. Hazards Earth Syst. Sci., 20, 489–504, https://doi.org/10.5194/nhess-20-489-2020, 2020.
Coulthard, T. J., Neal, J. C., Bates, P. D., Ramirez, J., de Almeida, G. A. M., and Hancock, G. R.: Integrating the LISFLOOD-FP 2D hydrodynamic model with the CAESAR model: implications for modelling landscape evolution, Earth Surf Proc. Land., 38, 1897–1906, https://doi.org/10.1002/esp.3478, 2013.
Cutter, S. L., Emrich, C. T., Morath, D. P., and Dunning, C. M.: Integrating social vulnerability into federal flood risk management planning, J. Flood Risk Manage., 6, 332–344, https://doi.org/10.1111/jfr3.12018, 2013.
Defra: Flood and coastal erosion risk management Policy Statement, https://www.gov.uk/government/publications/flood-and-coastal-erosion-risk-management-policy-statement last access: November 2021.
Eichentopf, S., Karunarathna, H., and Alsina, J. M.: Morphodynamics of sandy beaches under the influence of storm sequences: Current research status and future needs, Water Sci. Eng., 12, 221–234, https://doi.org/10.1016/j.wse.2019.09.007, 2019.
Eilander, D., Couasnon, A., Ikeuchi, H., Muis, S., Yamazaki, D., Winsemius, H. C., and Ward, P. J.: The effect of surge on riverine flood hazard and impact in deltas globally, Environ. Res. Lett., 15, 10, 104007, https://doi.org/10.1088/1748-9326/ab8ca6, 2020.
Eilander, D., Couasnon, A., Leijnse, T., Ikeuchi, H., Yamazaki, D., Muis, S., Dullaart, J., Haag, A., Winsemius, H. C., and Ward, P. J.: A globally applicable framework for compound flood hazard modeling, Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, 2023.
Elliott, L. R., White, M. P., Grellier, J., Rees, S. E., Waters, R. D., and Fleming, L. E.: Recreational visits to marine and coastal environments in England: Where, what, who, why, and when?, Mar. Policy, 97, 305–314, https://doi.org/10.1016/j.marpol.2018.03.013, 2018.
Environment Agency (EA): Reliability in Flood Incident Management Planning Final Report – Part A: Guidance Science project SC060063/SR1, https://assets.publishing.service.gov.uk/media/602e8e04d3bf7f722294d1d1/Reliability_in_Flood_Incident_Management_guidance.pdf (last access: November 2021), 2009.
Environment Agency (EA): Coastal flood boundary conditions for UK mainland and islands: design sea levels, https://hub.arcgis.com/maps/60ea7fcb1c86416f9ca272dd3b7b5a27/about, (last access: June 2022), 2016.
Environment Agency (EA): National flood and coastal erosion risk management strategy for England: executive summary, https://www.gov.uk/government/publications/national-flood-and-coastal-erosion-risk-management-strategy-for-england–2/national-flood-and-coastal-erosion-risk-management-strategy-for-england-executive-summary (last access: November 2021), 2020.
Environment Agency (EA): State of the environment: the coastal and marine environment, https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1130743/State_of_the_environment_-_the_coastal_and_marine_environment_-_report.pdf, last access: January 2023.
Evans, O.: Storm Ciara: Llanrwst, Colwyn Bay and Llanfair TH hit by flooding as torrential rain causes chaos across Conwy, https://www.dailypost.co.uk/news/north-wales-news/storm-ciara-flooding-hits-communities-17715701, last access: April 2023.
Familkhalili, R., Talke, S. A., and Jay, D. A.: Compound flooding in convergent estuaries: insights from an analytical model, Ocean Sci., 18, 1203–1220, https://doi.org/10.5194/os-18-1203-2022, 2022.
Fekete, A., Aslam, A. B., de Brito, M. M., Dominguez, I., Fernando, N., Illing, C. J., KC, A. K., Mahdavian, F., Norf, C., Platt, S., Santi, P. A., and Tempels, B.: Increasing flood risk awareness and warning readiness by participation – But who understands what under `participation'?, Int. J. Disast. Risk Re., 57, 102157, https://doi.org/10.1016/j.ijdrr.2021.102157, 2021.
Feng, D., Tan, Z., Engwirda, D., Liao, C., Xu, D., Bisht, G., Zhou, T., Li, H.-Y., and Leung, L. R.: Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh, Hydrol. Earth Syst. Sci., 26, 5473–5491, https://doi.org/10.5194/hess-26-5473-2022, 2022.
Feng, D., Tan, Z., Xu, D., and Leung, L. R.: Understanding the compound flood risk along the coast of the contiguous United States, Hydrol. Earth Syst. Sci., 27, 3911–3934, https://doi.org/10.5194/hess-27-3911-2023, 2023.
Ferranti, E., Chapman, L., and Whyatt, D.: A Perfect Storm? The collapse of Lancaster's critical infrastructure networks following intense rainfall on 4/5 December 2015, Weather, 72, 3–7, https://doi.org/10.1002/wea.2907, 2017.
FloodList: UK – Flood Rescues After Rivers Overflow in England and Wales, https://floodlist.com/europe/united-kingdom/rivers-overflow-england-wales-march-2019 (last access: April 2023), 2019.
Ganguli, P. and Merz, B.: Extreme Coastal Water Levels Exacerbate Fluvial Flood Hazards in Northwestern Europe, Sci. Rep.-UK, 9, 13165, https://doi.org/10.1038/s41598-019-49822-6, 2019.
Genest, C. and Favre, A.-C.: Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask, J. Hydrol. Eng., 12, 347–368, https://doi.org/10.1061/(asce)1084-0699(2007)12:4(347), 2007.
Ghanbari, M., Arabi, M., Kao, S., Obeysekera, J., and Sweet, W.: Climate Change and Changes in Compound Coastal-Riverine Flooding Hazard Along the U.S. Coasts, Earth's Future, 9, e2021EF002055, https://doi.org/10.1029/2021ef002055, 2021.
Gori, A. and Lin, N.: Projecting Compound Flood Hazard Under Climate Change With Physical Models and Joint Probability Methods, Earth's Future, 10, e2022EF003097, https://doi.org/10.1029/2022ef003097, 2022.
Greenwood, C. and Nikulin, M. S.: A guide to chi-squared testing, Wiley, New York, ISBN 0-471-55779-X, 1996.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Haigh, I. D., Wadey, M. P., Gallop, S. L., Loehr, H., Nicholls, R. J., Horsburgh, K., Brown, J. M., and Bradshaw, E.: A user-friendly database of coastal flooding in the United Kingdom from 1915–2014, Sci. Data, 2, 150021, https://doi.org/10.1038/sdata.2015.21, 2015.
Haigh, I. D., Wadey, M. P., Wahl, T., Ozsoy, O., Nicholls, R. J., Brown, J. M., Horsburgh, K., and Gouldby, B.: Spatial and temporal analysis of extreme sea level and storm surge events around the coastline of the UK, Sci. Data, 3, PMC5139689, https://doi.org/10.1038/sdata.2016.107, 2016.
Haigh, I. D., Ozsoy, O., Wadey, M. P., Nicholls, R. J., Gallop, S. L., Wahl, T., and Brown, J. M.: An improved database of coastal flooding in the United Kingdom from 1915 to 2016, Sci. Data, 4, 170100, https://doi.org/10.1038/sdata.2017.100, 2017.
Harrigan, S., Zsoter, E., Alfieri, L., Prudhomme, C., Salamon, P., Wetterhall, F., Barnard, C., Cloke, H., and Pappenberger, F.: GloFAS-ERA5 operational global river discharge reanalysis 1979–present, Earth Syst. Sci. Data, 12, 2043–2060, https://doi.org/10.5194/essd-12-2043-2020, 2020.
Harrison, L. M., Coulthard, T. J., Robins, P. E., and Lewis, M. J.: Sensitivity of Estuaries to Compound Flooding, Estuar. Coast., 45, 1250–1269, https://doi.org/10.1007/s12237-021-00996-1, 2021.
Hasan, G. M. J. and Matin, N.: Intertidal bathymetry and foreshore slopes derived from satellite images for static coasts, Reg. Stud. Mar. Sci., 51, 102233, https://doi.org/10.1016/j.rsma.2022.102233, 2022.
Heimhuber, V., Vos, K., Fu, W., and Glamore, W.: InletTracker: An open- source Python toolkit for historic and near real-time monitoring of coastal inlets from Landsat and Sentinel-2, Geomorphology, 389, 107830, https://doi.org/10.1016/j.geomorph.2021.107830, 2021.
Hendry, A., Haigh, I. D., Nicholls, R. J., Winter, H., Neal, R., Wahl, T., Joly-Laugel, A., and Darby, S. E.: Assessing the characteristics and drivers of compound flooding events around the UK coast, Hydrol. Earth Syst. Sci., 23, 3117–3139, https://doi.org/10.5194/hess-23-3117-2019, 2019.
HM Government: National Risk Register, https://assets.publishing.service.gov.uk/media/6001b2688fa8f55f6978561a/6.6920_CO_CCS_s_National_Risk_Register_2020_11-1-21-FINAL.pdf (last access: August 2023), 2020.
Hoitink, A. J. F. and Jay, D. A.: Tidal river dynamics: Implications for deltas, Rev. Geophys., 54, 240–272, https://doi.org/10.1002/2015rg000507, 2016.
Howlett, E. R., Bowers, D. G., Malarkey, J., and Jago, C. F.: Stratification in the presence of an axial convergent front: Causes and implications, Estuarine, Coastal Shelf Sci., 161, 1–10, https://doi.org/10.1016/j.ecss.2015.04.003, 2015.
HR Wallingford (HRW): Conwy Tidal Flood Risk Assessment, http://conwyfloodmap.hrwallingford.co.uk/report/HRWallingford_ConwyFRA_Stage1_Report_EX4667.pdf (last access: April 2023), 2008.
IHO C-55: Publication C-55 “Status of Hydrographic Surveying and Charting Worldwide”, Monte Carlo, IHO, https://iho.int/en/iho-c-55, 2021.
Ikeuchi, H., Hirabayashi, Y., Yamazaki, D., Kiguchi, M., Koirala, S., Nagano, T., Kotera, A., and Kanae, S.: Modeling complex flow dynamics of fluvial floods exacerbated by sea level rise in the Ganges–Brahmaputra–Meghna Delta, Environ. Res. Lett., 10, 124011, https://doi.org/10.1088/1748-9326/10/12/124011, 2015.
ITV: Flood warnings as downpours and high tides hit Wales, https://www.itv.com/news/wales/2015-12-26/flood-warnings-at-downpours-and-high-tides-hit-wales (last access: April 2023), 2015.
Jago, C., Robins, P., Howlett, E., Hassard, F., Rajko-Nenow, P., Jackson, S., Chien, N., and Malham, S.: Trapping and bypassing of suspended particulate matter, particulate nutrients and faecal indicator organisms in the river-estuary transition zone of a shallow macrotidal estuary, Sci. Total Environ., 917, 170343, https://doi.org/10.1016/j.scitotenv.2024.170343, 2024.
Jones, M.: Boxing Day floods 2015: How North Wales ground to a halt during the deluge, https://www.dailypost.co.uk/news/north-wales-news/boxing-day-floods-2015-how-12370017 (last access: May 2023), 2015.
Kew, S. F., Selten, F. M., Lenderink, G., and Hazeleger, W.: The simultaneous occurrence of surge and discharge extremes for the Rhine delta, Nat. Hazards Earth Syst. Sci., 13, 2017–2029, https://doi.org/10.5194/nhess-13-2017-2013, 2013.
Khajehei, S., Ahmadalipour, A., and Moradkhani, H.: An effective post-processing of the North American multi-model ensemble (NMME) precipitation forecasts over the continental US, Clim. Dynam., 51, 457–472, https://doi.org/10.1007/s00382-017-3934-0, 2017.
Khanam, M., Sofia, G., Koukoula, M., Lazin, R., Nikolopoulos, E. I., Shen, X., and Anagnostou, E. N.: Impact of compound flood event on coastal critical infrastructures considering current and future climate, Nat. Hazards Earth Syst. Sci., 21, 587–605, https://doi.org/10.5194/nhess-21-587-2021, 2021.
Lavers, D., Harrigan, S., Andersson, E., Richardson, D. S., Prudhomme, C., and Pappenberger, F.: A vision for improving global flood forecasting, Environ. Res. Lett., 14, 121002, https://doi.org/10.1088/1748-9326/ab52b2, 2019.
Lane, R. A., Coxon, G., Freer, J., Seibert, J., and Wagener, T.: A large-sample investigation into uncertain climate change impacts on high flows across Great Britain, Hydrol. Earth Syst. Sci., 26, 5535–5554, https://doi.org/10.5194/hess-26-5535-2022, 2022.
Lindeboom, H.: The Coastal Zone: An Ecosystem Under Pressure, in: Oceans 2020: Science, Trends and the Challenge of Sustainability, edited by: Field, J. G., Hempel, G., and Summerhayes, C. P., Island Press: Washington, DC, USA, 49–84, ISBN 1-55963-470-7, 2002.
Lyddon, C., Brown, J. M., Leonardi, N., and Plater, A. J.: Flood Hazard Assessment for a Hyper-Tidal Estuary as a Function of Tide-Surge-Morphology Interaction, Estuar. Coast., 41, 1565–1586, https://doi.org/10.1007/s12237-018-0384-9, 2018.
Lyddon, C., Robins, P., Lewis, M., Barkwith, A., Vasilopoulos, G., Haigh, I., and Coulthard, T.: Historic Spatial Patterns of Storm-Driven Compound Events in UK Estuaries, Estuar. Coast., 46, 30–56, https://doi.org/10.1007/s12237-022-01115-4, 2022.
Marcos, M., Wöppelmann, G., Matthews, A., Ponte, R. M., Birol, F., Ardhuin, F., Coco, G., Santamaría-Gómez, A., Ballu, V., Testut, L., Chambers, D., and Stopa, J. E.: Coastal Sea Level and Related Fields from Existing Observing Systems, Surv. Geophys., 40, 1293–1317, https://doi.org/10.1007/s10712-019-09513-3, 2019.
Matthews, T., Murphy, C., McCarthy, G., Broderick, C., and Wilby, R. L.: Super Storm Desmond: a process-based assessment, Environ. Res. Lett., 13, 014024, https://doi.org/10.1088/1748-9326/aa98c8, 2018.
Merrifield, M., Aarup, T., Allen, A., Aman, A., Bradshaw, E., Caldwell, P., Fernandes, R. M. S., Hayashibara, H., Hernandez, F., Kilonsky, B., Martin Miguez, B., Mitchum, G., Perez Gomez, B., Rickards, L. J., Rosen, D., Schone, T., Szabados, M., Testut, L., Woodworth, P., Woppelmann, G., and Zavala, J.: The global sea level observing system (GLOSS), The OceanObs '09 Conference, Venice, http://www.oceanobs09.net/proceedings/cwp/Merrifield-OceanObs09.cwp.63.pdf (last access: 14 March 2024), 21–25 September 2009.
Met Office: Stormy and very wet spell March 2019, https://www.metoffice.gov.uk/binaries/content/assets/metofficegovuk/pdf/weather/learn-about/uk-past-events/interesting/2019/2019_004_stormy_spell.pdf (last access: May 2023), 2019.
Moftakhari, H. R., Salvadori, G., AghaKouchak, A., Sanders, B. F., and Matthew, R. A.: Compounding effects of sea level rise and fluvial flooding, P. Natl. Acad. Sci. USA, 114, 9785–9790, https://doi.org/10.1073/pnas.1620325114, 2017.
Moore, F. C. and Obradovich, N.: Using remarkability to define coastal flooding thresholds, Nat. Commun., 11, 530, https://doi.org/10.1038/s41467-019-13935-3, 2020.
Moradian, S., Olbert, A. I., Gharbia, S., and Iglesias, G.: Copula-based projections of wind power: Ireland as a case study, Renew. Sust. Energ. Rev., 175, 113147, https://doi.org/10.1016/j.rser.2023.113147, 2023.
Muis, S., Verlaan, M., Winsemius, H. C., Aerts, J. C. J. H., and Ward, P. J.: A global reanalysis of storm surges and extreme sea levels, Nat. Commun., 7, 11969, https://doi.org/10.1038/ncomms11969, 2016.
Muis, S., Apecechea, M. I., Dullaart, J., de Lima Rego, J., Madsen, K. S., Su, J., Yan, K., and Verlaan, M.: A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections, Front. Mar. Sci., 7, 263, https://doi.org/10.3389/fmars.2020.00263, 2020.
Muis, S., Aerts, J. C. J. H., Á. Antolínez, J. A., Dullaart, J. C., Duong, T. M., Erikson, L., Haarsma, R. J., Apecechea, M. I., Mengel, M., Le Bars, D., O'Neill, A., Ranasinghe, R., Roberts, M. J., Verlaan, M., Ward, P. J., and Yan, K.: Global Projections of Storm Surges Using High-Resolution CMIP6 Climate Models, Earth's Future, 11, e2023EF003479, https://doi.org/10.1029/2023EF003479, 2023.
Natural Resource Wales: Flood Investigation Report: Llanrwst Flooding December 2015, https://naturalresources.wales/media/678788/flood-investigation-report-llanrwst-2015-english.pdf (last access: November 2022), 2016.
Natural Resource Wales: DataMap Wales: Recorded Flood Extents (Formerly Lle), https://datamap.gov.wales/layers/inspire-nrw:NRW_HISTORIC_FLOODMAP (last access: November 2022), 2020.
Natural Resource Wales: Historic Flood Map, https://datamap.gov.wales/maps/new?layer=inspire-nrw:NRW_HISTORIC_FLOODMAP#, last access: January 2023.
National Coastal Tourism Academy: Coastal Tourism, https://coastaltourismacademy.co.uk/coastal-tourism, last access: August 2023.
Neal, J., Hawker, L., Savage, J., Durand, M., Bates, P., and Sampson, C.: Estimating River Channel Bathymetry in Large Scale Flood Inundation Models, Water Resour. Res., 57, e2020WR028301, https://doi.org/10.1029/2020wr028301, 2021.
Nelsen, R. B.: An introduction to Copulas, Springer Series in Statistics, 2nd Edn., Department of Mathematical Sciences, Lewis and Clark College, MSC 110, ISBN 978-0-387-28678-5, 2007.
Olbert, A. I., Moradian, S., Nash, S., Comer, J., Kazmierczak, B., Falconer, R. A., and Hartnett, M.: Combined statistical and hydrodynamic modelling of compound flooding in coastal areas – Methodology and application, J. Hydrol., 620, 129383, https://doi.org/10.1016/j.jhydrol.2023.129383, 2023.
ONR: ONR Expert Panel on Natural Hazards, Analysis of Coastal Flood Hazards for Nuclear Sites: 2021, https://www.onr.org.uk/operational/tech_asst_guides/ns-tast-gd-013-annex-3-reference-paper.docx (last access: October 2023), 2021.
Pawlowicz, R., Beardsley, B., and Lentz, S.: Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE, Comput. Geosci., 28, 929–937, https://doi.org/10.1016/s0098-3004(02)00013-4, 2002.
Penning-Rowsell, E. C.: A realistic assessment of fluvial and coastal flood risk in England and Wales, Trans. Inst. British Geog., 40, 44–61, https://doi.org/10.1111/tran.12053, 2014.
Peter Sheng, Y., Paramygin, V. A., Yang, K., and Rivera-Nieves, A. A.: A sensitivity study of rising compound coastal inundation over large flood plains in a changing climate, Sci. Rep., 12, 3403, https://doi.org/10.1038/s41598-022-07010-z, 2022.
Pugh, D. T.: Tides, surges and mean sea-level (reprinted with corrections), Chichester, UK, John Wiley and Sons, Ltd, ISBN 1107028191, 1996.
Rahimi, R., Tavakol-Davani, H., Graves, C., Gomez, A., and Fazel Valipour, M.: Compound Inundation Impacts of Coastal Climate Change: Sea-Level Rise, Groundwater Rise, and Coastal Precipitation, Water, 12, 2776, https://doi.org/10.3390/w12102776, 2020.
Rilo, A., Tavares, A. O., Freire, P., Zêzere, J. L., and Haigh, I. D.: Improving Estuarine Flood Risk Knowledge through Documentary Data Using Multiple Correspondence Analysis, Water, 14, 3161, https://doi.org/10.3390/w14193161, 2022.
Robins, P. E., Neill, S. P., and Giménez, L.: A numerical study of marine larval dispersal in the presence of an axial convergent front, Estuarine, Estuar. Coast. Shelf S., 100, 172–185, https://doi.org/10.1016/j.ecss.2012.02.001, 2012.
Robins, P. E., Skov, M. W., Lewis, M. J., Giménez, L., Davies, A. G., Malham, S. K., Neill, S. P., McDonald, J. E., Whitton, T. A., Jackson, S. E., and Jago, C. F.: Impact of climate change on UK estuaries: A review of past trends and potential projections, Estuar. Coast. Shelf S., 169, 119–135, https://doi.org/10.1016/j.ecss.2015.12.016, 2016.
Robins, P. E., Lewis, M. J., Elnahrawi, M., Lyddon, C., Dickson, N., and Coulthard, T. J.: Compound Flooding: Dependence at Sub-daily Scales Between Extreme Storm Surge and Fluvial Flow, Front. Built Environ., 7, https://doi.org/10.3389/fbuil.2021.727294, 2021.
Sadegh, M., Ragno, E., and AghaKouchak, A.: Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework, Water Resour. Res., 53, 5166–5183, https://doi.org/10.1002/2016wr020242, 2017.
Sadegh, M., Moftakhari, H., Gupta, H. V., Ragno, E., Mazdiyasni, O., Sanders, B., Matthew, R., and AghaKouchak, A.: Multihazard Scenarios for Analysis of Compound Extreme Events, Geophys. Res. Lett., 45, 5470–5480, https://doi.org/10.1029/2018gl077317, 2018.
Šakić Trogrlić, R., van den Homberg, M., Budimir, M., McQuistan, C., Sneddon, A., and Golding, B.: Early Warning Systems and Their Role in Disaster Risk Reduction, Towards the “Perfect” Weather Warning, 11–46, https://doi.org/10.1007/978-3-030-98989-7_2, 2022.
Salvadori, G., Durante, F., De Michele, C., Bernardi, M., and Petrella, L.: A multivariate copula‐based framework for dealing with hazard scenarios and failure probabilities, Water Resour. Res., 52, 3701–3721, https://doi.org/10.1002/2015wr017225, 2016.
Sene, K.: Thresholds, in: Flood Warning, Forecasting and Emergency Response, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-540-77853-0_3, 2008.
Skinner, C. J., Coulthard, T. J., Parsons, D. R., Ramirez, J. A., Mullen, L., and Manson, S.: Simulating tidal and storm surge hydraulics with a simple 2D inertia based model, in the Humber Estuary, UK, Estuar. Coast. Shelf S., 155, 126–136, https://doi.org/10.1016/j.ecss.2015.01.019, 2015.
Sklar, A.: Fonctions de répartition à n dimensions et leurs marges. Publications de l'Institut de Statistique de l'Université de Paris, 8, 229–231, https://doi.org/10.2139/ssrn.4198458, 1959.
Sibley, A., Cox, D., and Titley, H.: Coastal flooding in England and Wales from Atlantic and North Sea storms during the 2013/2014 winter, Weather, 70, 62–70, https://doi.org/10.1002/wea.2471, 2015.
Spridgeon, D.: Aberconwy AM to ask emergency questions over Conwy Valley flooding, https://www.northwalespioneer.co.uk/news/18222471.aberconwy-ask-emergency-questions-conwy-valley-flooding/ (last access: April 2023), 2020.
Svensson, C. and Jones, D. A.: Dependence between sea surge, river flow and precipitation in south and west Britain, Hydrol. Earth Syst. Sci., 8, 973–992, https://doi.org/10.5194/hess-8-973-2004, 2004.
Vasilopoulos, G., Coulthard, T., Robins, P., Lyddon, C., Barkwith, A., Chien, N., and Lewis, M.: Development and validation of flood inundation models for estuaries, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-5858, https://doi.org/10.5194/egusphere-egu23-5858, 2023.
Wang, X., Verlaan, M., Apecechea, M. I., and Lin, H. X.: Parameter estimation for a global tide and surge model with a memory-efficient order reduction approach, Ocean Model., 173, 102011, https://doi.org/10.1016/j.ocemod.2022.102011, 2022.
Ward, P. J., Couasnon, A., Eilander, D., Haigh, I. D., Hendry, A., Muis, S., Veldkamp, T. I. E., Winsemius, H. C., and Wahl, T.: Dependence between high sea-level and high river discharge increases flood hazard in global deltas and estuaries, Environ. Res. Lett., 13, 084012, https://doi.org/10.1088/1748-9326/aad400, 2018.
Welsh Government: 2015 CABINET STATEMENT Coastal flooding – January 2014, https://www.gov.wales/written-statement-coastal-flooding-january-2014 (last access: April 2023), 2014.
Welsh Government: 2015 CABINET STATEMENT Flooding in North Wales December 2015, https://www.gov.wales/written-statement-flooding-north-wales-december-2015 (last access: April 2023), 2015.
Wolff, E.: The promise of a “people-centred” approach to floods: Types of participation in the global literature of citizen science and community-based flood risk reduction in the context of the Sendai Framework, Prog. Disaster Sci., 10, 100171, https://doi.org/10.1016/j.pdisas.2021.100171, 2021.
Wu, W., Westra, S., and Leonard, M.: Estimating the probability of compound floods in estuarine regions, Hydrol. Earth Syst. Sci., 25, 2821–2841, https://doi.org/10.5194/hess-25-2821-2021, 2021.
Xiao, Z., Yang, Z., Wang, T., Sun, N., Wigmosta, M., and Judi, D.: Characterizing the Non-linear Interactions Between Tide, Storm Surge, and River Flow in the Delaware Bay Estuary, United States, Front. Mar. Sci., 8, 715557, https://doi.org/10.3389/fmars.2021.715557, 2021.
Yagoub, M. M., Alsereidi, A. A., Mohamed, E. A., Periyasamy, P., Alameri, R., Aldarmaki, S., and Alhashmi, Y.: Newspapers as a validation proxy for GIS modeling in Fujairah, United Arab Emirates: identifying flood-prone areas, Nat. Hazards, 104, 111–141, https://doi.org/10.1007/s11069-020-04161-y, 2020.
Yazdandoost, F., Moradian, S., Zakipour, M., Izadi, A., and Bavandpour, M.: Improving the precipitation forecasts of the North-American multi model ensemble (NMME) over Sistan basin, J. Hydrol., 590, 125263, https://doi.org/10.1016/j.jhydrol.2020.125263, 2020.
Zong, Y. and Tooley, M. J. A.: Historical Record of Coastal Floods in Britain: Frequencies and Associated Storm Tracks, Nat. Hazards, 29, 13–36, https://doi.org/10.1023/A:1022942801531, 2003.
Zscheischler, J., Westra, S., van den Hurk, B. J. J. M., Seneviratne, S. I., Ward, P. J., Pitman, A., AghaKouchak, A., Bresch, D. N., Leonard, M., Wahl, T., and Zhang, X.: Future climate risk from compound events, Nat. Clim. Change, 8, 469–477, https://doi.org/10.1038/s41558-018-0156-3, 2018.
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.
Recent storms in the UK, like Storm Ciara in 2020, show how vulnerable estuaries are to the...
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