Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2681-2020
© Author(s) 2020. 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-20-2681-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Oct 2020
Research article |
| 10 Oct 2020
| 10 Oct 2020
Multivariate statistical modelling of the drivers of compound flood events in south Florida
Robert Jane
CORRESPONDING AUTHOR
Civil, Environmental and Construction Engineering and National Center for Integrated Coastal Research, University of Central Florida, 12800 Pegasus Drive, Orlando, FL 32816, USA
Luis Cadavid
Operational Hydraulics Unit – Applied Hydraulics Section, South Florida Water Management District, West Palm Beach, FL 35406, USA
Jayantha Obeysekera
Sea Level Solutions Center, Florida International University, Miami, FL 33199, USA
Thomas Wahl
Civil, Environmental and Construction Engineering and National Center for Integrated Coastal Research, University of Central Florida, 12800 Pegasus Drive, Orlando, FL 32816, USA
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EGUsphere, https://doi.org/10.5194/egusphere-2025-1557, https://doi.org/10.5194/egusphere-2025-1557, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Compound flooding occurs when multiple drivers, such as heavy rain and storm surge, occur simultaneously. Comprehensive compound flood risk assessments require simulating a many storm events using flood models, but such historical data are limited. To address this, we developed a statistical framework to generate large numbers of synthetic yet realistic storm events for use in flood modeling.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
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Compound flooding occurs when multiple drivers, such as heavy rain and storm surge, occur simultaneously. Comprehensive compound flood risk assessments require simulating a many storm events using flood models, but such historical data are limited. To address this, we developed a statistical framework to generate large numbers of synthetic yet realistic storm events for use in flood modeling.
Joshua Green, Ivan D. Haigh, Niall Quinn, Jeff Neal, Thomas Wahl, Melissa Wood, Dirk Eilander, Marleen de Ruiter, Philip Ward, and Paula Camus
Nat. Hazards Earth Syst. Sci., 25, 747–816, https://doi.org/10.5194/nhess-25-747-2025, https://doi.org/10.5194/nhess-25-747-2025, 2025
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Compound flooding, involving the combination or successive occurrence of two or more flood drivers, can amplify flood impacts in coastal/estuarine regions. This paper reviews the practices, trends, methodologies, applications, and findings of coastal compound flooding literature at regional to global scales. We explore the types of compound flood events, their mechanistic processes, and the range of terminology. Lastly, this review highlights knowledge gaps and implications for future practices.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
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Earth Syst. Sci. Data, 16, 3471–3494, https://doi.org/10.5194/essd-16-3471-2024, https://doi.org/10.5194/essd-16-3471-2024, 2024
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Sea-level information from the global ocean is sparse in time and space, with comprehensive data being limited to the period since 2005. Here we provide a novel reconstruction of sea level and its contributing causes, as determined by a Kalman smoother approach applied to tide gauge records over the period 1900–2021. The new reconstruction shows a continuing acceleration in global mean sea-level rise since 1970 that is dominated by melting land ice. Contributors vary significantly by region.
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Revised manuscript under review for HESS
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Urban flooding can be driven by rain and storm surge or the combination of the two, which is called compound flooding. In this study we analyzed hourly historical rain and surge data for New York City to provide a more detailed statistical analysis than prior studies of this topic. The analyses reveal that tropical cyclones (e.g. hurricanes) have potential for causing more extreme compound floods than other storms, while extratropical cyclones cause more frequent, lesser compound events.
Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, and Matthias Mengel
Earth Syst. Sci. Data, 16, 1121–1136, https://doi.org/10.5194/essd-16-1121-2024, https://doi.org/10.5194/essd-16-1121-2024, 2024
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This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
Katherine L. Towey, James F. Booth, Alejandra Rodriguez Enriquez, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 22, 1287–1300, https://doi.org/10.5194/nhess-22-1287-2022, https://doi.org/10.5194/nhess-22-1287-2022, 2022
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Coastal flooding due to storm surge from tropical cyclones is a significant hazard. The influence of tropical cyclone characteristics, including its proximity, intensity, path angle, and speed, on the magnitude of storm surge is examined along the eastern United States. No individual characteristic was found to be strongly related to how much surge occurred at a site, though there is an increased likelihood of high surge occurring when tropical cyclones are both strong and close to a location.
Francisco Peña, Fernando Nardi, Assefa Melesse, Jayantha Obeysekera, Fabio Castelli, René M. Price, Todd Crowl, and Noemi Gonzalez-Ramirez
Nat. Hazards Earth Syst. Sci., 22, 775–793, https://doi.org/10.5194/nhess-22-775-2022, https://doi.org/10.5194/nhess-22-775-2022, 2022
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Groundwater-induced flooding, a rare phenomenon that is increasing in low-elevation coastal cities due to higher water tables, is often neglected in flood risk mapping due to its sporadic frequency and considerably lower severity with respect to other flood hazards. A loosely coupled flood model is used to simulate the interplay between surface and subsurface flooding mechanisms simultaneously. This work opens new horizons on the development of compound flood models from a holistic perspective.
Ahmed A. Nasr, Thomas Wahl, Md Mamunur Rashid, Paula Camus, and Ivan D. Haigh
Hydrol. Earth Syst. Sci., 25, 6203–6222, https://doi.org/10.5194/hess-25-6203-2021, https://doi.org/10.5194/hess-25-6203-2021, 2021
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We analyse dependences between different flooding drivers around the USA coastline, where the Gulf of Mexico and the southeastern and southwestern coasts are regions of high dependence between flooding drivers. Dependence is higher during the tropical season in the Gulf and at some locations on the East Coast but higher during the extratropical season on the West Coast. The analysis gives new insights on locations, driver combinations, and the time of the year when compound flooding is likely.
Jiayi Fang, Thomas Wahl, Jian Fang, Xun Sun, Feng Kong, and Min Liu
Hydrol. Earth Syst. Sci., 25, 4403–4416, https://doi.org/10.5194/hess-25-4403-2021, https://doi.org/10.5194/hess-25-4403-2021, 2021
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A comprehensive assessment of compound flooding potential is missing for China. We investigate dependence, drivers, and impacts of storm surge and precipitation for coastal China. Strong dependence exists between driver combinations, with variations of seasons and thresholds. Sea level rise escalates compound flood potential. Meteorology patterns are pronounced for low and high compound flood potential. Joint impacts from surge and precipitation were much higher than from each individually.
Paula Camus, Ivan D. Haigh, Ahmed A. Nasr, Thomas Wahl, Stephen E. Darby, and Robert J. Nicholls
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In coastal regions, floods can arise through concurrent drivers, such as precipitation, river discharge, storm surge, and waves, which exacerbate the impact. In this study, we identify hotspots of compound flooding along the southern coast of the North Atlantic Ocean and the northern coast of the Mediterranean Sea. This regional assessment can be considered a screening tool for coastal management that provides information about which areas are more predisposed to experience compound flooding.
Yasser Hamdi, Ivan D. Haigh, Sylvie Parey, and Thomas Wahl
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When a high river discharge coincides with a high storm surge level, this can exarcebate flood level, depth, and duration, resulting in a so-called compound flood event. These events are not currently included in global flood models. In this research, we analyse the timing and correlation between modelled discharge and storm surge level time series in deltas and estuaries. Our results provide a first indication of regions along the global coastline with a high compound flooding potential.
Alistair Hendry, Ivan D. Haigh, Robert J. Nicholls, Hugo Winter, Robert Neal, Thomas Wahl, Amélie Joly-Laugel, and Stephen E. Darby
Hydrol. Earth Syst. Sci., 23, 3117–3139, https://doi.org/10.5194/hess-23-3117-2019, https://doi.org/10.5194/hess-23-3117-2019, 2019
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Flooding can arise from multiple sources, including waves, extreme sea levels, rivers, and severe rainfall. When two or more sources combine, the consequences can be greatly multiplied. We find the potential for the joint occurrence of extreme sea levels and river discharge to be greater on the western coast of the UK compared to the eastern coast. This is due to the weather conditions generating each flood source around the UK. These results will help increase our flood forecasting ability.
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Floods have caused significant damage in the past. To prepare for such events, we rely on historical data but face issues due to rare rainfall events, lack of data and climate change. Counterfactuals, or
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Nat. Hazards Earth Syst. Sci., 24, 4385–4408, https://doi.org/10.5194/nhess-24-4385-2024, https://doi.org/10.5194/nhess-24-4385-2024, 2024
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This study presents a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explore multi-hazard assessment and risk through a machine learning modeling approach. The process includes collecting a database of topography, climate, geology, environment, and building data; developing models for multi-hazard assessment and coding in the Google Earth Engine; and producing credible multi-hazard susceptibility and building exposure maps.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci., 24, 4317–4339, https://doi.org/10.5194/nhess-24-4317-2024, https://doi.org/10.5194/nhess-24-4317-2024, 2024
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This work describes the flood damage to cultural heritage (CH) that occurred in September 2022 in central Italy. Datasets related to flood impacts on cultural heritage are rare, and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of flood (i.e. water depth and flow velocity). The results show that current knowledge and datasets are inadequate for risk assessment of CH.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024, https://doi.org/10.5194/nhess-24-4015-2024, 2024
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Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
Nat. Hazards Earth Syst. Sci., 24, 3977–3990, https://doi.org/10.5194/nhess-24-3977-2024, https://doi.org/10.5194/nhess-24-3977-2024, 2024
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This study used advanced computer simulations to investigate how earthquake-induced building collapse affects flooding of the metro stations in Shanghai. Results show that the influences of building collapse on rainfall-driven and river-driven floods are different because these two types of floods have different origination and propagation mechanisms.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
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Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci., 24, 3683–3701, https://doi.org/10.5194/nhess-24-3683-2024, https://doi.org/10.5194/nhess-24-3683-2024, 2024
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The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
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We look at how compound flooding from the combination of river flooding and storm tides (storm surge and astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Dongyu Feng, Zeli Tan, Darren Engwirda, Jonathan D. Wolfe, Donghui Xu, Chang Liao, Gautam Bisht, James J. Benedict, Tian Zhou, Mithun Deb, Hong-Yi Li, and L. Ruby Leung
EGUsphere, https://doi.org/10.5194/egusphere-2024-2785, https://doi.org/10.5194/egusphere-2024-2785, 2024
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Our study explores how riverine and coastal flooding during hurricanes is influenced by the interaction of atmosphere, land, river and ocean conditions. Using an advanced Earth system model, we simulate Hurricane Irene to evaluate how meteorological and hydrological uncertainties affect flood modeling. Our findings reveal the importance of a multi-component modeling system, how hydrological conditions play critical roles in flood modeling, and greater flood risks if multiple factors are present.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Shahin Khosh Bin Ghomash, Heiko Apel, Kai Schröter, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-139, https://doi.org/10.5194/nhess-2024-139, 2024
Revised manuscript accepted for NHESS
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This work introduces RIM2D, a hydrodynamic model for precise and rapid flood predictions, ideal for early warning systems. We demonstrate RIM2D's ability to deliver detailed and localized flood forecasts using the June 2023 flood in Braunschweig, Germany, as a case study. This research highlights the readiness of RIM2D and the required hardware for integration into operational flood warning and impact-based forecasting systems.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-97, https://doi.org/10.5194/nhess-2024-97, 2024
Revised manuscript accepted for NHESS
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The July 2021 flood in Central Europe was one of the deadliest floods in Europe in the past decades and the most expensive flood in Germany. In this paper we show that the hydrological impact of this event in the Ahr valley could have been even worse if the rainfall footprint trajectory was only slightly different. The presented methodology of spatial counterfactuals generates plausible unprecedented events and helps better prepare for future extreme floods.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
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Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Cited articles
Aas, K. and Berg, D.:
Models for construction of multivariate dependence – a comparison study,
Eur. J. Financ.,
15, 639–659, 2009.
Aas, K., Czado, C., Frigessi, A., and Bakken, H.:
Pair copula constructions of multiple dependence,
Insurance: Math. Econ.,
44, 182–198, 2009.
Arns, A., Wahl, T., Haigh, I. D., Jensen, J., and Pattiaratchi, C.:
Estimating extreme water level probabilities: A comparison of the direct methods and recommendations for best practise,
Coast. Eng.,
81, 51–66, 2013.
Bedford, T. and Cooke, R. M.:
Probability density decomposition for conditionally dependent random variables modeled by vines,
Ann. Math. Artif. Intel.,
32, 245–268, 2001.
Bedford, T. and Cooke, R. M.:
Vines – a new graphical model for dependent random variables,
Ann. Stat.,
30, 1031–1068, 2002.
Bender, J., Wahl, T., Müller, A., and Jensen, J.:
A multivariate design framework for river confluences,
Hydrolog. Sci. J.,
61, 3471–482, 2016.
Bengtsson, L.:
Probability of combined high sea levels and large rains in Malmö, Sweden, southern Öresund,
Hydrol. Process.,
30, 3172– 3183, 2016.
Berghuijs, W. R., Woods, R. A., Hutton, C. J., and Sivapalan, M.:
Dominant flood generating mechanisms across the United States,
Geophys. Res. Lett.,
43, 4382–4390, 2016.
Berghuijs, W. R., Harrigan, S., Molnar, P., Slater, L. J., and Kirchner, J. W.:
The relative importance of different flood-generating mechanisms across Europe,
Water Resour. Res.,
55, 4582–4593, 2019.
Bevacqua, E., Maraun, D., Hobæk Haff, I., Widmann, M., and Vrac, M.: Multivariate statistical modelling of compound events via pair-copula constructions: analysis of floods in Ravenna (Italy), Hydrol. Earth Syst. Sci., 21, 2701–2723, https://doi.org/10.5194/hess-21-2701-2017, 2017.
Bevacqua, E., Maraun, D., Vousdoukas, M. I., Voukouvalas, E., Vrac, M., Mentaschi, L., and Widmann, M.:
Higher probability of compound flooding from precipitation and storm surge in Europe under anthropogenic climate change,
Sci. Adv., 5, eaaw5531, https://doi.org/10.1126/sciadv.aaw5531, 2019.
Bevacqua, E., Vousdoukas, M. I., Shepherd, T. G., and Vrac, M.: Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding, Nat. Hazards Earth Syst. Sci., 20, 1765–1782, https://doi.org/10.5194/nhess-20-1765-2020, 2020.
Bloetscher, F. H., Heimlich, B., and Meeroff, D. E.:
Development of an adaptation toolbox to protect southeast Florida water supplies from climate change,
Environ. Rev.,
19, 397–417, 2011.
Buishand, T. A.:
Bivariate extreme-value data and the station-year method,
J. Hydrol.,
69, 77–95, 1984.
Chen, L., Singh, V. P., Shenglian, G., Hao, Z., and Li, T.:
Flood coincidence risk analysis using multivariate copula functions,
J. Hydrol. Eng.,
17, 742–755, 2012.
Coles, S.:
An Introduction to Statistical Modelling of Extreme Values,
Springer series in statistics,
Springer-Verlag, London, 2001.
Coles, S. G., Heffernan, J. E., and Tawn, J. A.:
Dependence measures for extreme value analyses,
Extremes,
2, 339–365, 1999.
Couasnon, A., Sebastian, A., and Morales-Nápoles, O.:
A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas,
Water,
10, 1190, https://doi.org/10.3390/w10091190, 2018.
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.
Daneshkhah, A., Remesan, R., Chatrabgoun, O., and Holman, I. P.:
Probabilistic modeling of flood characterizations with parametric and minimum information pair-copula model,
J. Hydrol.,
540, 469–487, 2016.
De Michele, C. and Salvadori, G.:
A Generalized Pareto intensity-duration model of storm rainfall exploiting 2-Copulas,
J. Geophys. Res.,
108, 4067, https://doi.org/10.1029/2002JD002534, 2003.
Di Bernardino, E. and Rullière, D.:
On an asymmetric extension of multivariate Archimedean copulas based on quadratic form,
Depend. Model.,
4, 328–347, 2016.
Diederen, D., Liu, Y., Gouldby, B., Diermanse, F., and Vorogushyn, S.: Stochastic generation of spatially coherent river discharge peaks for continental event-based flood risk assessment, Nat. Hazards Earth Syst. Sci., 19, 1041–1053, https://doi.org/10.5194/nhess-19-1041-2019, 2019.
Duong, T.:
ks: Kernel density estimation and kernel discriminant analysis for multivariate data in R,
J. Stat. Softw.,
21, 1–16, 2007.
Embrechts, P., Lindskog, F., and McNeil, A.:
Modelling dependence with copulas and applications to risk management,
in: Handbook of Heavy Tailed Distributions in Finance,
edited by: Rachev, S. T.,
North-Holland, Elsevier, the Netherlands, 2003.
Fang, H.-B., Fang, K., and Kotz, S.:
The meta-elliptical distributions with given marginals,
J. Multivariate Anal.,
82, 1–16, 2002.
Fang, K. T., Kot, S., and Ng, K. W.:
Symmetric Multivariate and Related Distributions,
Chapman and Hall, London, 1990.
FEMA:
Guidance for flood risk analysis and mapping; combined coastal and riverine floodplain, No. Guidance Document 32,
FEMA, Washington, D.C., 2015.
Florida Office of Economic and Demographic Research: Florida Demographic Estimating Conference April 2015 and the University of Florida, Bureau of Economic and Business Research, Florida Population Studies, Bulletin 178, June 2015.
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.
Gilja, G., Ocvirk, E., and Kuspilić, N.:
Joint probability analysis of flood hazard at river confluences using bivariate copulas,
Gradevinar,
70, 267–275, 2018.
Gräler, B., van den Berg, M. J., Vandenberghe, S., Petroselli, A., Grimaldi, S., De Baets, B., and Verhoest, N. E. C.: Multivariate return periods in hydrology: a critical and practical review focusing on synthetic design hydrograph estimation, Hydrol. Earth Syst. Sci., 17, 1281–1296, https://doi.org/10.5194/hess-17-1281-2013, 2013.
Gräler, B., Petroselli, A., Grimaldi, S., De Baets, B., and Verhoest, N.:
An update on multivariate return periods in hydrology,
P. Int. Ass. Hydrol. Sci.,
373, 175–178, 2016.
Gouldby, B., Méndez, F. J., Guanche, Y., Rueda, A., and Mínguez, R.:
A methodology for deriving extreme nearshore sea conditions for structural design and flood risk analysis,
Coast. Eng.,
88, 15–26, 2014.
Gouldby, B. P., Wyncoll, D., Panzeri,M., Franklin, M., Hunt, T., Hames, D., Tozer, N. P., Hawkes, P. J., Dornbusch, U., and Pullen T. A.:
Multivariate extreme value modelling of sea conditions around the coast of England,
P. I. Civil Eng.-Mar. En.,
170, 3–20, 2017.
Haigh, I. D., MacPherson, L. R., Mason, M. S., Wijeratne, E. M. S., Pattiaratchi, C. B., Crompton, R. P., and George, S.:
Estimating present day extreme water level exceedance probabilities around the coastline of Australia: tropical cyclone-induced storm surges,
Clim. Dynam.,
42, 139–157, 2014.
Hallegatte, S., Green, C., Nicholls, R. J., and Corfee-Morlot, J.:
Future flood losses in major coastal cities,
Nat. Clim. Change,
3, 802–806, 2013.
Hawkes, P. J.:
Joint Probability Analysis for Estimation of Extremes,
J. Hydraul. Res.,
46, 246–256, 2008.
Hawkes, P. J., Gouldby, B. P., Tawn, J. A., and Owen, M. W.:
The joint probability of waves and water levels in coastal engineering design,
J. Hydraul. Res.,
40, 241–251, 2002.
Heffernan, J. E. and Tawn, J. A.:
A conditional approach for multivariate extreme values (with discussion),
J. Roy. Stat. Soc. B,
66, 497–546, 2004.
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.
Hettiarachchi, S., Wasko, C., and Sharma, A.:
Can antecedent moisture conditions modulate the increase in flood risk due to climate change in urban catchments?,
J. Hydrol.,
571, 11–20, 2019.
Ikeuchi, H., Hirabayashi, Y., Yamazaki, D., Muis, S., Ward, P. J., Winsemius, H. C., Verlaan, M., and Kanae, S.:
Compound simulation of fluvial floods and storm surges in a global coupled river-coast flood model: Model development and its application to 2007 Cyclone Sidr in Bangladesh,
J. Adv. Model. Earth Syst.,
9, 1847–1862, 2017.
Jane, R.: MultiHazard R package, available at: https://github.com/rjaneUCF/MultiHazard, last access: 20 August 2020.
Jane, R., Dalla Valle, L., Simmonds, D., and Raby, A.:
A Copula Based Approach for the Estimation of Wave Records Through Spatial Correlation,
Coast. Eng.,
117, 1–18, 2016.
Joe, H.:
Families of m-variate distributions with given margins and
Keef, C., Tawn, J. A., and Svensson, C.:
Spatial risk assessment for extreme river flows,
Appl. Stat.-J. Roy. Stat. C,
58, 601–618, 2009a.
Keef, C., Tawn, J. A., and Svensson, C.:
Spatial dependence in extreme river flows and precipitation for Great Britain,
J. Hydrol.,
378, 240–252, 2009b.
Keef, C., Papastathopoulos, I., and Tawn, J. A.:
Estimation off the conditional distribution of a vector variable given that one of its components is large: additional constraints for the Heffernan and Tawn model,
J. Multivar. Anal.,
115, 396–404, 2013.
Keenan, J. M., Hill, T., and Gumber, A.:
Climate gentrification: from theory to empiricism in Miami-Dade County, Florida,
Environ. Res. Lett.,
13, 054001, https://doi.org/10.1088/1748-9326/aabb32, 2018.
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.
Kulp, S. and Strauss, B. H.:
Rapid escalation of coastal flood exposure in US municipalities from sea level rise,
Climatic Change,
142, 477–489, 2017.
Lamb, R, Keef, C, Tawn, J. A., Laeger, S., Meadowcroft, I., Surendran, S., Dunning, P., and Batstone, C.:
A new method to assess the risk of local and widespread flooding on rivers and coasts,
J. Flood Risk Manage.,
3, 323–336, 2010.
Ledford, A. W. and Tawn, J. A.:
Modelling dependence within joint tail regions,
J. Roy. Stat. Soc. B,
59, 475–499, 1997.
Leonard, M., Westra, S., Phatak, A., Lambert, M., Van den Hurk, B., Mcinnes, K., Risbey, J., Schuster, S., Jakob, D., and Stafford-Smith, M.:
A compound event framework for understanding extreme impacts,
WIREs Clim. Change,
5, 113–128, 2014.
Li, G., Peng, H., Zhang, J., and Zhu, L.:
Robust rank correlation based screening,
Ann. Stat.,
40, 1846–1877, 2012.
Lian, J. J., Xu, K., and Ma, C.: Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China, Hydrol. Earth Syst. Sci., 17, 679–689, https://doi.org/10.5194/hess-17-679-2013, 2013.
Loganathan, G. V., Kuo, C. Y., and Yannacconc, J.:
Joint probability distribution of streamflows and tides in estuaries,
Nord. Hydrol.,
18, 237–246, 1987.
Ma, M., Song, S., Ren, L., Jiang, S., and Song, J.:
Multivariate drought characteristics using trivariate Gaussian and Student's t copulas,
Hydrol. Process.,
27, 1175–1190, 2013.
Martius, O., Pfahl, S., and Chevalier, C.:
A global quantification of compound precipitation and wind extremes,
Geophys. Res. Lett.,
43, 7709–7717, 2016.
Moftakhari, H., Schubert, J. E., AghaKouchak, A., Matthew, R. A., and Sanders, B. F.:
Linking statistical and hydrodynamic modeling for compound flood hazard assessment in tidal channels and estuaries,
Adv. Water Resour.,
128, 28–38, 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, 2017.
NCHRP:
Estimating Joint Probabilities of Design Coincident Flows at Stream Confluences, Report 15-36,
National Cooperative Highway Research Program (NCHRP), Washington, USA, 2010.
NOAA: National Climatic Data Center, National Oceanic and Atmospheric Administration, available at: https://www.ncdc.noaa.gov/cdo-web, last access: 12 April 2019.
Nott, J.:
Synthetic versus long-term natural records of tropical cyclone storm surges: problems and issues,
Geosci. Lett.,
3, 1–9, 2016.
Paprotny, D., Vousdoukas, M. I., Morales-Nápoles, O., Jonkman, S. N., and Feyen, L.: Compound flood potential in Europe, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-132, 2018.
Parkinson, R. W. and Donoghue, J. F.:
Bursting the bubble of doom and adapting to sea level rise,
Shoreline,
2010, 12–20, 2010.
Pathak, C. S.:
Frequency analysis of daily rainfall maxima for central and south Florida,
SFWMD Technical Publication EMA 390, SFWMD, West Palm Beach, FL, 2001.
Patton, A. J.:
Modelling asymmetric exchange rate dependence,
Int. Econ. Rev.,
47, 527–556, 2006.
Peng, Y., Chen, K., Yan, H., and Yu, X.:
Improving flood-risk analysis for confluence flooding control downstream using copula Monte Carlo method,
J. Hydrol. Eng.,
22, 04017018, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001526, 2017.
Peng, Y., Shi, Y., Yan, H., Chen, K., and Zhang, J.:
Coincidence Risk Analysis of Floods Using Multivariate Copulas: Case Study of Jinsha River and Min River, China,
J. Hydrol. Eng.,
24, 05018030, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001744, 2018.
Provost, A. M., Werner, A. D., Post, V. E., Michael, H. A., and Langevin, C. D.:
Rebuttal to “The case of the Biscayne Bay and aquifer near Miami, Florida: density-driven flow of seawater or gravitationally driven discharge of deep saline groundwater?” by Weyer (Environ Earth Sci 2018, 77:1–16),
Environ. Earth Sci.,
77, 710, https://doi.org/10.1007/s12665-018-7832-5, 2018.
Pugh, D. J.:
Tide, surge and mean sea level. A handbook for Engineers and Scientists,
John Wiley, Chichester, UK, 472 pp., 1987.
Randazzo, A. F. and Jones, D. S. (Eds.):
The Geology of Florida,
University Press of Florida, Gainesville, FL, 76–80, 1997.
Salas, J. D.:
Analysis and modeling of hydrologic time series,
in:
Handbook of Hydrology,
edited by:
Maidment, D.,
McGraw-Hill, New York, 19.1–19.72, 1993.
Salvadori, G. and De Michele, C.:
Frequency analysis via copulas: Theoretical aspects and applications to hydrological events,
Water Resour. Res.,
40, W12511, https://doi.org/10.1029/2004WR003133, 2004.
Salvadori, G. and De Michele, C.:
Multivariate Extreme Value Methods,
in: Extremes in a Changing Climate,
edited by: AghaKouchak, A., Easterling, D., Hsu, K., Schubert, S., and Sorooshian, S., Springer, Dordrecht, the Netherlands, 2013.
Salvadori, G., De Michele, C., and Durante, F.: On the return period and design in a multivariate framework, Hydrol. Earth Syst. Sci., 15, 3293–3305, https://doi.org/10.5194/hess-15-3293-2011, 2011.
Salvadori, G., Durante, F., and De Michele, C.:
Multivariate return period calculation via survival functions,
Water Resour. Res.,
49, 2308–2311, 2013.
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, 2016.
Schedel, J. R. and Schedel, A. L.:
Analysis of Variance of Flood Events on the U. S. East Coast: The Impact of Sea-Level Rise on Flood Event Severity and Frequency,
J. Coast. Res.,
341, 50–57, 2018.
Schepsmeier, U., Stoeber, J., Brechmann, E. C., Gräler,B., Nagler, T., and Erhardt, T.:
VineCopula: Statistical Inference of Vine Copulas,
R package version 2.1.8, 2018.
Seneviratne, S. I., Nicholls, N., Easterling, D., Goodess, C. M., Kanae, S., Kossin, J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Sorteberg, A., Vera, C., and Zhang, X.:
Changes in climate extremes and their impacts on the natural physical environment,
in:
Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC), chap. 3,
edited by: Field, C. B., Barros, V., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G. K., Allen, S. K., Tignor, M., and Midgley, P. M.,
Cambridge Univ. Press, Cambridge, 109–230, 2012.
Serafin, K. A., Ruggiero, P., Parker, K., and Hill, D. F.: What's streamflow got to do with it? A probabilistic simulation of the competing oceanographic and fluvial processes driving extreme along-river water levels, Nat. Hazards Earth Syst. Sci., 19, 1415–1431, https://doi.org/10.5194/nhess-19-1415-2019, 2019.
Serinaldi, F.:
Dismissing return periods,
Stoch. Environ. Res. Risk A.,
29, 1179–1189, 2015.
SFWMD:
Get the Facts: Saltwater Intrusion and Water Supply,
South Florida Water Management District, available at: https://www.sfwmd.gov/sites/default/files/documents/getthefacts_052616_saltwater_intrusion.pdf (last access: 20 June 2019),
2016.
Sklar, A.:
Fonctions de répartition à n dimensions et leurs marges,
Publ. Inst. Stat. Univ. Paris,
8, 229–231, 1959.
Smith, R. L. and Weissman, I.:
Estimating the extremal index,
J. Roy. Stat. Soc. B,
56, 515–528, 1994.
Southeast Florida Regional Climate Change Compact Sea Level Rise Work Group (Compact):
Unified Sea Level Rise Projection for Southeast Florida. A document prepared for the Southeast Florida Regional Climate Change Compact Steering Committee,
p. 35, October 2015.
Strauss, B. H., Ziemlinski, R., Weiss, J. L., and Overpeck, J. T:
Tidally adjusted estimates of topographic vulnerability to sea level rise and flooding for the contiguous United States,
Environ. Res. Lett.,
7, 14033, https://doi.org/10.1088/1748-9326/7/1/014033, 2012.
Svensson, C. and Jones, D. A.:
Dependence between extreme sea surge, river flow and precipitation in eastern Britain,
Int. J. Climatol.,
22, 1149–1168, 2002.
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.
Svensson, C. and Jones, D. A.:
Joint Probability: Dependence between extreme sea surge, river flow and precipitation: A study in South and West Britain, R&D Technical Report FD2308/TR3, DEFRA, London, UK, 2006.
Sweet, W. V., Kopp, R. E., Weaver, C. P., Obeysekera, J., Horton, R. M., Thieler, E. R., and Zervas, C.:
Global and Regional Sea Level Rise Scenarios for the United States,
NOAA, Silver Spring, MD, USA, 2017.
Towe, R. P., Tawn, J. A., Lamb, R., and Sherlock, C.:
Model-based inference of conditional extreme value distributions with hydrological applications,
Environmetrics, 30, env.2575, https://doi.org/10.1002/env.2575, 2019.
Valle-Levinson, A., Dutton, A., and Martin, J. B.:
Spatial and temporal variability of sea level rise hot spots over the eastern United States,
Geophys. Res. Lett.,
44, 7876–7882, 2017.
van den Hurk, B., van Meijgaard, E., de Valk, P., van Heeringen, K.-J., and Gooijer, J.:
Analysis of a compounding surge and precipitation event in the Netherlands,
Environ. Res. Lett.,
10, 035001, https://doi.org/10.1088/1748-9326/10/3/035001, 2015.
Verhoest, N. E.C., Vandenberghe, S., Cabus, P., Onof, C., Meca-Figueras, T., and Jameleddine, S.:
Are stochastic point rainfall models able to preserve extreme flood statistics?,
Hydrol. Process.,
24, 3439–2445, 2010.
Villarini, G. and Smith, J. A.:
Flood peak distributions for the eastern United States,
Water Resour. Res.,
46, W06504, https://doi.org/10.1029/2009WR008395, 2010.
Volpi, E. and Fiori, A.:
Hydraulic structures subject to bivariate hydrological loads: Return period, design, and risk assessment,
Water Resour. Res.,
50, 885–897, 2014.
Wahl, T., Jain, S., Bender, J., Meyers, S. D., and Luther, M. E.:
Increasing risk of compound flooding from storm surge and rainfall for major US cities,
Nat. Clim. Change,
5, 1093–1097, 2015.
Wahl, T., Plant, N. G., and Long, J. W.:
Probabilistic assessment of erosion and flooding risk in the northern, Gulf of Mexico,
J. Geophys. Res.-Oceans,
121, 3029–3043, 2016.
Wang, C., Chang, N.-B., and Yeh, G.-T.:
Copula-based flood frequency (COFF) analysis at the confluences of river systems,
Hydrol. Process.,
23, 1471–1486, 2009.
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.
Wdowinski, S., Bray, R., Kirtman, B. P., and Wu, Z.:
Increasing flooding hazard in coastal communities due to rising sea level: Case study of Miami Beach, Florida,
Ocean Coast. Manage.,
126, 1–8, 2016.
White, C. J.:
The use of joint probability analysis to predict flood frequency in estuaries and tidal rivers,
PhD thesis,
School of Civil Engineering and the Environment, University of Southampton, Southampton, 2009.
Wong, G., Lambert, M. F., and Metcalfe, A. V.:
Trivariate copulas for characterisation of droughts,
Anziam J.,
49, 306–323, 2008.
Wu, W., McInnes, K., O'Grady, J., Hoeke, R., Leonard, M., and Westra, S.:
Mapping dependence between extreme rainfall and storm surge,
J. Geophys. Res.-Oceans,
123, 2461–2474, 2018.
Wyncoll, D., Haigh, I., Gouldby, B., Hames, D., Laeger, S., Wall, A., Hawkes, P., and Hammond, A.:
Spatial analysis and simulation of extreme coastal flooding scenarios for national-scale emergency planning,
in: 3rd European Conference on Flood Risk Management,
edited by: Lang, M., Klijn, F., and Samuels, P.,
EDP Sciences, London, 2016.
Zhang, K.:
Analysis of non-linear inundation from sea-level rise using LIDAR data: a case study for South Florida,
Climatic Change,
106, 537–565, 2011.
Zheng, F., Westra, S., and Sisson, S. A.:
Quantifying the dependence between extreme rainfall and storm surge in the coastal zone,
J. Hydrol.,
505, 172–187, 2013.
Zheng, F., Westra, S., Leonard, M., and Sisson, S. A.:
Modeling dependence between extreme rainfall and storm surge to estimate coastal flooding risk,
Water Resour. Res.,
50, 2050–2071, 2014.
Zscheischler, J., Westra, S., 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, 2018.
Short summary
Full dependence is assumed between drivers in flood protection assessments of coastal water control structures in south Florida. A 2-D analysis of rainfall and coastal water level showed that the magnitude of the conservative assumption in the original design is highly sensitive to the regional sea level rise projection considered. The vine copula and HT04 model outperformed five higher-dimensional copulas in capturing the dependence between rainfall, coastal water level, and groundwater level.
Full dependence is assumed between drivers in flood protection assessments of coastal water...
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