Articles | Volume 20, issue 8
https://doi.org/10.5194/nhess-20-2091-2020
© 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-20-2091-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios
Department of Geography, King's College London, London, WC2B 4BG,
United Kingdom
Bruce D. Malamud
Department of Geography, King's College London, London, WC2B 4BG,
United Kingdom
Hugo Winter
EDF Energy R&D UK Centre, Croydon, CR0 2AJ, United Kingdom
Amélie Joly-Laugel
EDF Energy R&D UK Centre, Croydon, CR0 2AJ, United Kingdom
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Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, and Luc Feyen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-41, https://doi.org/10.5194/essd-2024-41, 2024
Preprint under review for ESSD
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This article presents a reanalysis of Europe's rivers streamflow for the period 1950–2020, using a state-of-the-art hydrological simulation framework. The dataset, called HERA (Hydrological European ReAnalysis), uses detailed information about the landscape, climate, and human activities to estimate river flow. HERA can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources, flood and drought risks.
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-220, https://doi.org/10.5194/nhess-2023-220, 2024
Preprint under review for NHESS
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This is the first study that uses spatial patterns (clusters/hot-spots) and meta-analysis in order to identify the regions at European level at risk to multi-hazards. The findings point out the socio-economic dimension as determinant factor for the risk potential to multi-hazard. The outcome provides valuable input for the Disaster Risk Management policy support and will assist national authorities on the implementation of a multi-hazard approach in the National Risk Assessments preparation.
Aloïs Tilloy, Bruce D. Malamud, and Amélie Joly-Laugel
Earth Syst. Dynam., 13, 993–1020, https://doi.org/10.5194/esd-13-993-2022, https://doi.org/10.5194/esd-13-993-2022, 2022
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Compound hazards occur when two different natural hazards impact the same time period and spatial area. This article presents a methodology for the spatiotemporal identification of compound hazards (SI–CH). The methodology is applied to compound precipitation and wind extremes in Great Britain for the period 1979–2019. The study finds that the SI–CH approach can accurately identify single and compound hazard events and represent their spatial and temporal properties.
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, and Luc Feyen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-41, https://doi.org/10.5194/essd-2024-41, 2024
Preprint under review for ESSD
Short summary
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This article presents a reanalysis of Europe's rivers streamflow for the period 1950–2020, using a state-of-the-art hydrological simulation framework. The dataset, called HERA (Hydrological European ReAnalysis), uses detailed information about the landscape, climate, and human activities to estimate river flow. HERA can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources, flood and drought risks.
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-220, https://doi.org/10.5194/nhess-2023-220, 2024
Preprint under review for NHESS
Short summary
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This is the first study that uses spatial patterns (clusters/hot-spots) and meta-analysis in order to identify the regions at European level at risk to multi-hazards. The findings point out the socio-economic dimension as determinant factor for the risk potential to multi-hazard. The outcome provides valuable input for the Disaster Risk Management policy support and will assist national authorities on the implementation of a multi-hazard approach in the National Risk Assessments preparation.
Robert Šakić Trogrlić, Amy Donovan, and Bruce D. Malamud
Nat. Hazards Earth Syst. Sci., 22, 2771–2790, https://doi.org/10.5194/nhess-22-2771-2022, https://doi.org/10.5194/nhess-22-2771-2022, 2022
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Here we present survey responses of 350 natural hazard community members to key challenges in natural hazards research and step changes to achieve the Sustainable Development Goals. Challenges identified range from technical (e.g. model development, early warning) to governance (e.g. co-production with community members). Step changes needed are equally broad; however, the majority of answers showed a need for wider stakeholder engagement, increased risk management and interdisciplinary work.
Aloïs Tilloy, Bruce D. Malamud, and Amélie Joly-Laugel
Earth Syst. Dynam., 13, 993–1020, https://doi.org/10.5194/esd-13-993-2022, https://doi.org/10.5194/esd-13-993-2022, 2022
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Compound hazards occur when two different natural hazards impact the same time period and spatial area. This article presents a methodology for the spatiotemporal identification of compound hazards (SI–CH). The methodology is applied to compound precipitation and wind extremes in Great Britain for the period 1979–2019. The study finds that the SI–CH approach can accurately identify single and compound hazard events and represent their spatial and temporal properties.
Faith E. Taylor, Paolo Tarolli, and Bruce D. Malamud
Nat. Hazards Earth Syst. Sci., 20, 2585–2590, https://doi.org/10.5194/nhess-20-2585-2020, https://doi.org/10.5194/nhess-20-2585-2020, 2020
Joel C. Gill, Bruce D. Malamud, Edy Manolo Barillas, and Alex Guerra Noriega
Nat. Hazards Earth Syst. Sci., 20, 149–180, https://doi.org/10.5194/nhess-20-149-2020, https://doi.org/10.5194/nhess-20-149-2020, 2020
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This paper describes a replicable approach for characterising interactions between natural hazards. Guatemala is exposed to multiple natural hazards, which do not always occur independently. There can be interactions between natural hazards. For example, one hazard may trigger multiple secondary hazards, which can subsequently trigger further hazards. Here we use diverse evidence of such interactions to construct matrices of hazard interactions in Guatemala at national and sub-national scales.
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.
David Cross, Christian Onof, Hugo Winter, and Pietro Bernardara
Hydrol. Earth Syst. Sci., 22, 727–756, https://doi.org/10.5194/hess-22-727-2018, https://doi.org/10.5194/hess-22-727-2018, 2018
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Extreme rainfall is one of the most significant natural hazards. However, estimating very large events is highly uncertain. We present a new approach to construct intense rainfall using the structure of rainfall generation in clouds. The method is particularly effective at estimating short-duration extremes, which can be the most damaging. This is expected to have immediate impact for the estimation of very rare downpours, with the potential to improve climate resilience and hazard preparedness.
Annette Witt, Bruce D. Malamud, Clara Mangili, and Achim Brauer
Hydrol. Earth Syst. Sci., 21, 5547–5581, https://doi.org/10.5194/hess-21-5547-2017, https://doi.org/10.5194/hess-21-5547-2017, 2017
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Here we present a unique 9.5 m palaeo-lacustrine record of 771 palaeofloods which occurred over a period of 10 000 years in the Piànico–Sèllere basin (southern Alps) during an interglacial period in the Pleistocene (sometime between 400 000 and 800 000 years ago). We analyse the palaeoflood series correlation, clustering, and cyclicity properties, finding a long-range cyclicity with a period of about 2030 years superimposed onto a fractional noise.
Bruce D. Malamud, Donald L. Turcotte, and Harold E. Brooks
Nat. Hazards Earth Syst. Sci., 16, 2823–2834, https://doi.org/10.5194/nhess-16-2823-2016, https://doi.org/10.5194/nhess-16-2823-2016, 2016
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We introduce a novel method for the spatial–temporal cluster analysis of severe tornado touchdowns that are part of tornado outbreaks. Tornado outbreaks, groups of tornadoes occurring close to each other in time and space, constitute a severe hazard that has few quantitative measures. Our new approach, which we illustrate using three USA severe tornado outbreaks and models, differentiates between types of tornado outbreaks and, within outbreaks, identifies clusters in both time and space.
Joel C. Gill and Bruce D. Malamud
Earth Syst. Dynam., 7, 659–679, https://doi.org/10.5194/esd-7-659-2016, https://doi.org/10.5194/esd-7-659-2016, 2016
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Understanding interactions between hazards and other processes can help us to better understand the complex environment in which disasters occur. This enhanced understanding may help us to better manage hazards and reduce the risk of disasters occurring. Interactions (e.g. one hazard triggering another hazard) are noted between (i) natural hazards, such as earthquakes; (ii) human activity, such as groundwater abstraction; and (iii) technological hazards/disasters, such as building collapse.
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Hydrological Hazards
Does a convection-permitting regional climate model bring new perspectives on the projection of Mediterranean floods?
Added value of seasonal hindcasts to create UK hydrological drought storylines
Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica
Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90: a case study of the European drought of 2018
How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus
Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale
Current and future rainfall-driven flood risk from hurricanes in Puerto Rico under 1.5 and 2 °C climate change
Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)
Impact-based flood forecasting in the Greater Horn of Africa
Text-mining uncovers the unique dynamics of socio-economic impacts during multi-year drought
Brief communication: A first hydrological investigation of extreme August 2023 floods in Slovenia, Europe
Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin
Limited effect of the confluence angle and tributary gradient on Alpine confluence morphodynamics under intense sediment loads
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Assessing typhoon-induced compound flood drivers: a case study in Ho Chi Minh City, Vietnam
The value of ultra-detailed survey data for an improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0
Assessing the ability of a new seamless short-range ensemble rainfall product to anticipate flash floods in the French Mediterranean area
Sentinel-1-based analysis of the severe flood over Pakistan 2022
Sensitivity analysis of erosion on the landward slope of an earthen flood defense located in southern France submitted to wave overtopping
Better prepared but less resilient: the paradoxical impact of frequent flood experience on adaptive behavior and resilience
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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.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
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This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
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The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
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We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
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We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
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Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-228, https://doi.org/10.5194/nhess-2023-228, 2023
Revised manuscript accepted for NHESS
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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's crucial to be ready for the challenges they bring.
Nejc Bezak, Panos Panagos, Leonidas Liakos, and Matjaž Mikoš
Nat. Hazards Earth Syst. Sci., 23, 3885–3893, https://doi.org/10.5194/nhess-23-3885-2023, https://doi.org/10.5194/nhess-23-3885-2023, 2023
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Extreme flooding occurred in Slovenia in August 2023. This brief communication examines the main causes, mechanisms and effects of this event. The flood disaster of August 2023 can be described as relatively extreme and was probably the most extreme flood event in Slovenia in recent decades. The economic damage was large and could amount to well over 5 % of Slovenia's annual gross domestic product; the event also claimed three lives.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
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This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Theo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
EGUsphere, https://doi.org/10.5194/egusphere-2023-2432, https://doi.org/10.5194/egusphere-2023-2432, 2023
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Mountain river confluences are hazardous during localized flooding events. Results from a physical model were used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and then the tributary sediment concentration controls morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Bouchra Zellou, Nabil El Moçayd, and El Houcine Bergou
Nat. Hazards Earth Syst. Sci., 23, 3543–3583, https://doi.org/10.5194/nhess-23-3543-2023, https://doi.org/10.5194/nhess-23-3543-2023, 2023
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In this study, we underscore the critical importance of strengthening drought prediction capabilities in the Mediterranean region. We present an in-depth evaluation of current drought forecasting approaches, encompassing statistical, dynamical, and hybrid statistical–dynamical models, and highlight unexplored research opportunities. Additionally, we suggest viable directions to enhance drought prediction and early warning systems within the area.
Francisco Rodrigues do Amaral, Nicolas Gratiot, Thierry Pellarin, and Tran Anh Tu
Nat. Hazards Earth Syst. Sci., 23, 3379–3405, https://doi.org/10.5194/nhess-23-3379-2023, https://doi.org/10.5194/nhess-23-3379-2023, 2023
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We propose an in-depth analysis of typhoon-induced compound flood drivers in the megacity of Ho Chi Minh, Vietnam. We use in situ and satellite measurements throughout the event to form a holistic overview of its impact. No evidence of storm surge was found, and peak precipitation presents a 16 h time lag to peak river discharge, which evacuates only 1.5 % of available water. The astronomical tide controls the river level even during the extreme event, and it is the main urban flood driver.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-179, https://doi.org/10.5194/nhess-2023-179, 2023
Revised manuscript accepted for NHESS
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INSYDE 2.0, a tool for flood damage modelling 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.
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377, https://doi.org/10.5194/nhess-23-3355-2023, https://doi.org/10.5194/nhess-23-3355-2023, 2023
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This article results from a master's research project which was part of a natural hazards programme developed by the French Ministry of Ecological Transition. The objective of this work was to investigate a possible way to improve the operational flash flood warning service by adding rainfall forecasts upstream of the forecasting chain. The results showed that the tested forecast product, which is new and experimental, has a real added value compared to other classical forecast products.
Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, and Wolfgang Wagner
Nat. Hazards Earth Syst. Sci., 23, 3305–3317, https://doi.org/10.5194/nhess-23-3305-2023, https://doi.org/10.5194/nhess-23-3305-2023, 2023
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In August and September 2022, millions of people were impacted by a severe flood event in Pakistan. Since many roads and other infrastructure were destroyed, satellite data were the only way of providing large-scale information on the flood's impact. Based on the flood mapping algorithm developed at Technische Universität Wien (TU Wien), we mapped an area of 30 492 km2 that was flooded at least once during the study's time period. This affected area matches about the total area of Belgium.
Clément Houdard, Adrien Poupardin, Philippe Sergent, Abdelkrim Bennabi, and Jena Jeong
Nat. Hazards Earth Syst. Sci., 23, 3111–3124, https://doi.org/10.5194/nhess-23-3111-2023, https://doi.org/10.5194/nhess-23-3111-2023, 2023
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We developed a system able to to predict, knowing the appropriate characteristics of the flood defense structure and sea state, the return periods of potentially dangerous events as well as a ranking of parameters by order of uncertainty.
The model is a combination of statistical and empirical methods that have been applied to a Mediterranean earthen dike. This shows that the most important characteristics of the dyke are its geometrical features, such as its height and slope angles.
Lisa Köhler, Torsten Masson, Sabrina Köhler, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 23, 2787–2806, https://doi.org/10.5194/nhess-23-2787-2023, https://doi.org/10.5194/nhess-23-2787-2023, 2023
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We analyzed the impact of flood experience on adaptive behavior and self-reported resilience. The outcomes draw a paradoxical picture: the most experienced people are the most adapted but the least resilient. We find evidence for non-linear relationships between the number of floods experienced and resilience. We contribute to existing knowledge by focusing specifically on the number of floods experienced and extending the rare scientific literature on the influence of experience on resilience.
Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, and Kay Shelton
Nat. Hazards Earth Syst. Sci., 23, 2769–2785, https://doi.org/10.5194/nhess-23-2769-2023, https://doi.org/10.5194/nhess-23-2769-2023, 2023
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Ensemble forecasts of flood inundation produce maps indicating the probability of flooding. A new approach is presented to evaluate the spatial performance of an ensemble flood map forecast by comparison against remotely observed flooding extents. This is important for understanding forecast uncertainties and improving flood forecasting systems.
Betina I. Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023, https://doi.org/10.5194/nhess-23-2663-2023, 2023
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We used an integrated model to evaluate the impacts of nature-based solutions (NBSs) on flood mitigation across the Little Pee Dee and Lumber River watershed, the Carolinas, US. This area is strongly affected by climatic disasters, which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBSs can have visible effects on the reduction in hurricane-driven flooding.
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
Nat. Hazards Earth Syst. Sci., 23, 2419–2441, https://doi.org/10.5194/nhess-23-2419-2023, https://doi.org/10.5194/nhess-23-2419-2023, 2023
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Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2313–2332, https://doi.org/10.5194/nhess-23-2313-2023, https://doi.org/10.5194/nhess-23-2313-2023, 2023
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Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci., 23, 2111–2131, https://doi.org/10.5194/nhess-23-2111-2023, https://doi.org/10.5194/nhess-23-2111-2023, 2023
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This paper presents a new method for selecting streamflow drought hazard indicators for monitoring drought hazard for human water supply and river ecosystems in large-scale drought early warning systems. Indicators are classified by their inherent assumptions about the habituation of people and ecosystems to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit at a certain point in time) and severity (cumulated magnitude since drought onset).
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci., 23, 2001–2029, https://doi.org/10.5194/nhess-23-2001-2023, https://doi.org/10.5194/nhess-23-2001-2023, 2023
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This paper proposes a methodological framework designed for event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end users, with a focus on the anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should help in drawing robust conclusions about the usefulness of new rainfall ensemble forecasts.
Min Li, Mingfeng Zhang, Runxiang Cao, Yidi Sun, and Xiyuan Deng
Nat. Hazards Earth Syst. Sci., 23, 1453–1464, https://doi.org/10.5194/nhess-23-1453-2023, https://doi.org/10.5194/nhess-23-1453-2023, 2023
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It is an important disaster reduction strategy to forecast hydrological drought. In order to analyse the impact of human activities on hydrological drought, we constructed the human activity factor based on the method of restoration. With the increase of human index (HI) value, hydrological droughts tend to transition to more severe droughts. The conditional distribution model involving of human activity factor can further improve the forecasting accuracy of drought in the Luanhe River basin.
Patrick Ludwig, Florian Ehmele, Mário J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Michael Kunz, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, https://doi.org/10.5194/nhess-23-1287-2023, 2023
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Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
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Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023, https://doi.org/10.5194/nhess-23-1227-2023, 2023
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Estimating the severity of a rainfall event based on the damage caused is easy but highly depends on the affected region. A less biased measure for the extremeness of an event is its rarity combined with its spatial extent. In this brief communication, we investigate the sensitivity of such measures to the underlying dataset and highlight the importance of considering multiple spatial and temporal scales using the devastating rainfall event in July 2021 in central Europe as an example.
Paul D. Bates, James Savage, Oliver Wing, Niall Quinn, Christopher Sampson, Jeffrey Neal, and Andrew Smith
Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, https://doi.org/10.5194/nhess-23-891-2023, 2023
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We present and validate a model that simulates current and future flood risk for the UK at high resolution (~ 20–25 m). We show that UK flood losses were ~ 6 % greater in the climate of 2020 compared to recent historical values. The UK can keep any future increase to ~ 8 % if all countries implement their COP26 pledges and net-zero ambitions in full. However, if only the COP26 pledges are fulfilled, then UK flood losses increase by ~ 23 %; and potentially by ~ 37 % in a worst-case scenario.
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, https://doi.org/10.5194/nhess-23-823-2023, 2023
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In coastal deltas, flooding can occur from interactions between coastal, riverine, and pluvial drivers, so-called compound flooding. Global models however ignore these interactions. We present a framework for automated and reproducible compound flood modeling anywhere globally and validate it for two historical events in Mozambique with good results. The analysis reveals differences in compound flood dynamics between both events related to the magnitude of and time lag between drivers.
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, https://doi.org/10.5194/nhess-23-809-2023, 2023
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Data-driven models are becoming more of a surrogate that overcomes the limitations of the computationally expensive 2D hydrodynamic models to map urban flood hazards. However, the model's ability to generalize outside the training domain is still a major challenge. We evaluate the performance of random forest and convolutional neural networks to predict urban floodwater depth and investigate their transferability outside the training domain.
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 23, 667–674, https://doi.org/10.5194/nhess-23-667-2023, https://doi.org/10.5194/nhess-23-667-2023, 2023
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Floods continue to be a wicked problem that require developing early warning systems with plausible assumptions of risk behaviour, with more targeted conversations with the community at risk. Through this paper we advocate the use of a SMART approach to encourage bottom-up initiatives to develop inclusive and purposeful early warning systems that benefit the community at risk by engaging them at every step of the way along with including other stakeholders at multiple scales of operations.
Venkataswamy Sahana and Arpita Mondal
Nat. Hazards Earth Syst. Sci., 23, 623–641, https://doi.org/10.5194/nhess-23-623-2023, https://doi.org/10.5194/nhess-23-623-2023, 2023
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In an agriculture-dependent, densely populated country such as India, drought risk projection is important to assess future water security. This study presents the first comprehensive drought risk assessment over India, integrating hazard and vulnerability information. Future drought risk is found to be more significantly driven by increased vulnerability resulting from societal developments rather than climate-induced changes in hazard. These findings can inform planning for drought resilience.
Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas-Alvarez, James E. Daniell, Florian Ehmele, Hendrik Feldmann, Mário J. Franca, Christian Gattke, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Marc Scheibel, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 525–551, https://doi.org/10.5194/nhess-23-525-2023, https://doi.org/10.5194/nhess-23-525-2023, 2023
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The flood event in July 2021 was one of the most severe disasters in Europe in the last half century. The objective of this two-part study is a multi-disciplinary assessment that examines the complex process interactions in different compartments, from meteorology to hydrological conditions to hydro-morphological processes to impacts on assets and environment. In addition, we address the question of what measures are possible to generate added value to early response management.
Yinxue Liu, Paul D. Bates, and Jeffery C. Neal
Nat. Hazards Earth Syst. Sci., 23, 375–391, https://doi.org/10.5194/nhess-23-375-2023, https://doi.org/10.5194/nhess-23-375-2023, 2023
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In this paper, we test two approaches for removing buildings and other above-ground objects from a state-of-the-art satellite photogrammetry topography product, ArcticDEM. Our best technique gives a 70 % reduction in vertical error, with an average difference of 1.02 m from a benchmark lidar for the city of Helsinki, Finland. When used in a simulation of rainfall-driven flooding, the bare-earth version of ArcticDEM yields a significant improvement in predicted inundation extent and water depth.
Joseph L. Gutenson, Ahmad A. Tavakoly, Mohammad S. Islam, Oliver E. J. Wing, William P. Lehman, Chase O. Hamilton, Mark D. Wahl, and T. Christopher Massey
Nat. Hazards Earth Syst. Sci., 23, 261–277, https://doi.org/10.5194/nhess-23-261-2023, https://doi.org/10.5194/nhess-23-261-2023, 2023
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Emergency managers use event-based flood inundation maps (FIMs) to plan and coordinate flood emergency response. We perform a case study test of three different FIM frameworks to see if FIM differences lead to substantial differences in the location and magnitude of flood exposure and consequences. We find that the FIMs are very different spatially and that the spatial differences do produce differences in the location and magnitude of exposure and consequences.
Mohamed Saadi, Carina Furusho-Percot, Alexandre Belleflamme, Ju-Yu Chen, Silke Trömel, and Stefan Kollet
Nat. Hazards Earth Syst. Sci., 23, 159–177, https://doi.org/10.5194/nhess-23-159-2023, https://doi.org/10.5194/nhess-23-159-2023, 2023
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On 14 July 2021, heavy rainfall fell over central Europe, causing considerable damage and human fatalities. We analyzed how accurate our estimates of rainfall and peak flow were for these flooding events in western Germany. We found that the rainfall estimates from radar measurements were improved by including polarimetric variables and their vertical gradients. Peak flow estimates were highly uncertain due to uncertainties in hydrological model parameters and rainfall measurements.
Arefeh Safaei-Moghadam, David Tarboton, and Barbara Minsker
Nat. Hazards Earth Syst. Sci., 23, 1–19, https://doi.org/10.5194/nhess-23-1-2023, https://doi.org/10.5194/nhess-23-1-2023, 2023
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Climate change, urbanization, and aging infrastructure contribute to flooding on roadways. This study evaluates the potential for flood reports collected from Waze – a community-based navigation app – to predict these events. Waze reports correlate primarily with low-lying depressions on roads. Therefore, we developed two data-driven models to determine whether roadways will flood. Analysis showed that in the city of Dallas, drainage area and imperviousness are the most significant contributors.
Zongjia Zhang, Jun Liang, Yujue Zhou, Zhejun Huang, Jie Jiang, Junguo Liu, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 4139–4165, https://doi.org/10.5194/nhess-22-4139-2022, https://doi.org/10.5194/nhess-22-4139-2022, 2022
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An innovative multi-strategy-mode waterlogging-prediction framework for predicting waterlogging depth is proposed in the paper. The framework selects eight regression algorithms for comparison and tests the prediction accuracy and robustness of the model under different prediction strategies. Ultimately, the accuracy of predicting water depth after 30 min can exceed 86.1 %. This can aid decision-making in terms of issuing early warning information and determining emergency responses in advance.
Diego Fernández-Nóvoa, Orlando García-Feal, José González-Cao, Maite deCastro, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3957–3972, https://doi.org/10.5194/nhess-22-3957-2022, https://doi.org/10.5194/nhess-22-3957-2022, 2022
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A multiscale analysis, where the historical and future precipitation data from the CORDEX project were used as input in a hydrological model (HEC-HMS) that, in turn, feeds a 2D hydraulic model (Iber+), was applied to the case of the Miño-Sil basin (NW Spain), specifically to Ourense city, in order to analyze future changes in flood hazard. Detailed flood maps indicate an increase in the frequency and intensity of future floods, implying an increase in flood hazard in important areas of the city.
Jaime Gaona, Pere Quintana-Seguí, María José Escorihuela, Aaron Boone, and María Carmen Llasat
Nat. Hazards Earth Syst. Sci., 22, 3461–3485, https://doi.org/10.5194/nhess-22-3461-2022, https://doi.org/10.5194/nhess-22-3461-2022, 2022
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Droughts represent a particularly complex natural hazard and require explorations of their multiple causes. Part of the complexity has roots in the interaction between the continuous changes in and deviation from normal conditions of the atmosphere and the land surface. The exchange between the atmospheric and surface conditions defines feedback towards dry or wet conditions. In semi-arid environments, energy seems to exceed water in its impact over the evolution of conditions, favoring drought.
Melanie Fischer, Jana Brettin, Sigrid Roessner, Ariane Walz, Monique Fort, and Oliver Korup
Nat. Hazards Earth Syst. Sci., 22, 3105–3123, https://doi.org/10.5194/nhess-22-3105-2022, https://doi.org/10.5194/nhess-22-3105-2022, 2022
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Nepal’s second-largest city has been rapidly growing since the 1970s, although its valley has been affected by rare, catastrophic floods in recent and historic times. We analyse potential impacts of such floods on urban areas and infrastructure by modelling 10 physically plausible flood scenarios along Pokhara’s main river. We find that hydraulic effects would largely affect a number of squatter settlements, which have expanded rapidly towards the river by a factor of up to 20 since 2008.
Heiko Apel, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 22, 3005–3014, https://doi.org/10.5194/nhess-22-3005-2022, https://doi.org/10.5194/nhess-22-3005-2022, 2022
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The paper presents a fast 2D hydraulic simulation model for flood propagation that enables operational forecasts of spatially distributed inundation depths, flood extent, flow velocities, and other flood impacts. The detailed spatial forecast of floods and flood impacts is a large step forward from the currently operational forecasts of discharges at selected gauges, thus enabling a more targeted flood management and early warning.
Kang He, Qing Yang, Xinyi Shen, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 22, 2921–2927, https://doi.org/10.5194/nhess-22-2921-2022, https://doi.org/10.5194/nhess-22-2921-2022, 2022
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This study depicts the flood-affected areas in western Europe in July 2021 and particularly the agriculture land that was under flood inundation. The results indicate that the total inundated area over western Europe is about 1920 km2, of which 1320 km2 is in France. Around 64 % of the inundated area is agricultural land. We expect that the agricultural productivity in western Europe will have been severely impacted.
Daniel Viviroli, Anna E. Sikorska-Senoner, Guillaume Evin, Maria Staudinger, Martina Kauzlaric, Jérémy Chardon, Anne-Catherine Favre, Benoit Hingray, Gilles Nicolet, Damien Raynaud, Jan Seibert, Rolf Weingartner, and Calvin Whealton
Nat. Hazards Earth Syst. Sci., 22, 2891–2920, https://doi.org/10.5194/nhess-22-2891-2022, https://doi.org/10.5194/nhess-22-2891-2022, 2022
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Estimating the magnitude of rare to very rare floods is a challenging task due to a lack of sufficiently long observations. The challenge is even greater in large river basins, where precipitation patterns and amounts differ considerably between individual events and floods from different parts of the basin coincide. We show that a hydrometeorological model chain can provide plausible estimates in this setting and can thus inform flood risk and safety assessments for critical infrastructure.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 22, 2791–2805, https://doi.org/10.5194/nhess-22-2791-2022, https://doi.org/10.5194/nhess-22-2791-2022, 2022
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To better understand how the frequency and intensity of heavy precipitation events (HPEs) will change with changing climate and to adapt disaster risk management accordingly, we have to quantify the extremeness of HPEs in a reliable way. We introduce the xWEI (cross-scale WEI) and show that this index can reveal important characteristics of HPEs that would otherwise remain hidden. We conclude that the xWEI could be a valuable instrument in both disaster risk management and research.
Angelica Tarpanelli, Alessandro C. Mondini, and Stefania Camici
Nat. Hazards Earth Syst. Sci., 22, 2473–2489, https://doi.org/10.5194/nhess-22-2473-2022, https://doi.org/10.5194/nhess-22-2473-2022, 2022
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We analysed 10 years of river discharge data from almost 2000 sites in Europe, and we extracted flood events, as proxies of flood inundations, based on the overpasses of Sentinel-1 and Sentinel-2 satellites to derive the percentage of potential inundation events that they were able to observe. Results show that on average 58 % of flood events are potentially observable by Sentinel-1 and only 28 % by Sentinel-2 due to the obstacle of cloud coverage.
Cited articles
AghaKouchak, A., Huning, L. S., Chiang, F., Sadegh, M., Vahedifard, F.,
Mazdiyasni, O., Moftakhari, H., and Mallakpour, I.: How do natural hazards
cascade to cause disasters?, Nature, 561, 458–460, 2018.
Aitchison, J.: Lognormal Distribution, Cambridge University Press., Cambridge, UK, 1957.
Akaike, H.: A new look at the statistical model identification, IEEE Trans.
Automat. Contr., 19, 716–723, 1974.
Anderson, G. and Klugmann, D.: A European lightning density analysis using 5 years of ATDnet data, Nat. Hazards Earth Syst. Sci., 14, 815–829, https://doi.org/10.5194/nhess-14-815-2014, 2014.
Arnold, T. B. and Emerson, J. W.: Nonparametric goodness-of-fit tests for
discrete null distributions, R J., 3, 34–39, 2011.
Barriopedro, D., Fischer, E. M., Luterbacher, J., Trigo, R. M., and
García-Herrera, R.: The hot summer of 2010: Redrawing the temperature
map of Europe, Science, 332, 220–224, 2011.
Bedford, T. and Cooke, R. M.: Vines : A New Graphical Model for Dependent Random Variables, Ann. Stat., 30, 1031–1068, 2002.
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.
Brechmann, E. C. and Schepsmeier, U.: Modeling Dependence with C- and D-Vine Copulas: The RPackage CDVine, J. Stat. Softw., 52, 1–27, 2013. https://doi.org/10.18637/jss.v052.i03, 2013.
Canty, A. and Ripley, B. D.: boot: Bootstrap R (S-Plus) Functions, available at: https://cran.r-project.org/web/packages/boot/citation.html (last access: 22 June 2020), 2019.
CCR (Caisse Centrale de Réassurance): E-risk database, Paris, France,
available at: https://catastrophes-naturelles.ccr.fr (last access: 1
December 2019), 2019.
Chebana, F. and Ouarda, T. B. M. J.: Multivariate quantiles in hydrological
frequency analysis, Environmetrics, 22, 63–78, 2011.
Clare, M. A., Talling, P. J., Challenor, P. G., and Hunt, J. E.: Tempo and
Triggering of Large Submarine Landslides: Statistical Analysis for Hazard
Assessment, in: Advances in Natural and Technological Hazards Research, Vol.
41, edited by: Lamarche, G., Mountjoy, J., Bull, S., Hubble, T., Krastel, S., Lane, E., Micallef, A., Moscardelli, L., Mueller, C., Pecher, I., and Woelz, S., Springer International Publishing, Cham, Switzerland, 509–517, 2016.
Coles, S.: An Introduction to Statistical Modelling of Extreme Values,
Springer London, London, UK, 2001.
Coles, S. and Tawn, J. A.: Modelling extreme multivariate events, J. R.
Stat. Soc., 53, 285–339, 1991.
Coles, S., Heffernan, J. E., and Tawn, J. A.: Dependence measure for extreme
value analyses, Extremes, 1225, 41–42, 1999.
Cooley, D., Thibaud, E., Castillo, F., and Wehner, M. F.: A nonparametric
method for producing isolines of bivariate exceedance probabilities,
Extremes, 22, 373–390, 2019.
Cornes, R. C., van der Schrier, G., van den Besselaar, E. J. M., and Jones,
P. D.: An ensemble version of the E-OBS temperature and precipitation data
sets, J. Geophys. Res.-Atmos., 123, 9391–9409, 2018.
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.
Davison, A. C. and Hinkley, D. V.: Bootstrap Methods and Their Applications,
Cambridge University Press, Cambridge, UK, 1997.
Davison, A. C. and Huser, R.: Statistics of extremes, Annu. Rev. Stat. Appl., 2, 203–235, 2015.
De Haan, L. and De Ronde, J.: Sea and wind: multivariate extremes at work,
Extremes, 1, 7–45, 1998.
De Michele, C., Salvadori, G., Passoni, G., and Vezzoli, R.: A multivariate
model of sea storms using copulas, Coast. Eng., 54, 734–751, 2007.
De Haan, L. and Resnick, S. I.: Limit theory for multivariate sample extremes, Z. Wahrscheinlichkeit., 40, 317–337, 1977.
Dowdy, A. J. and Catto, J. L.: Extreme weather caused by concurrent cyclone,
front and thunderstorm occurrences, Sci. Rep., 7, 1–8, 2017.
Duong, T.: ks: Kernel density estimation and kernel discriminant analysis
for multivariate data, R, J. Stat. Softw., 21, 1–16,
https://doi.org/10.18637/jss.v021.i07, 2007.
Duong, T.: Non-parametric smoothed estimation of multivariate cumulative
distribution and survival functions, and receiver operating characteristic
curves, J. Korean Stat. Soc., 45, 33–50, 2015.
Dutfoy, A., Parey, S., and Roche, N.: Multivariate extreme value theory - A
tutorial with applications to hydrology and meteorology, Depend. Model.,
2, 30–48, 2014.
ECA&D: ECA&D Project, available at: https://www.ecad.eu/, last access: 12 February 2020.
Frau, R., Andreewsky, M., and Bernardara, P.: The use of historical information for regional frequency analysis of extreme skew surge, Nat. Hazards Earth Syst. Sci., 18, 949–962, https://doi.org/10.5194/nhess-18-949-2018, 2018.
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,
2007.
Genest, C. and Nešlehová, J.: Copula Modeling for Extremes, in: Encyclopedia of Environmetrics, John Wiley & Sons Ltd, Chichester, UK, 1–6, 2013.
Genest, C., Rémillard, B., and Beaudoin, D.: Goodness-of-fit tests for
copulas: A review and a power study, Insur. Math. Econ., 44, 199–213,
2009.
Genest, C., Kojadinovic, I., Nešlehová, J., and Yan, J.: A
goodness-of-fit test for bivariate extreme-value copulas, Bernoulli, 17,
253–275, 2011.
Gill, J. C. and Malamud, B. D.: Reviewing and visualizing the interactions
of natural hazards, Rev. Geophys., 52, 680–722, 2014.
Gouldby, B., Wyncoll, D., Panzeri, M., Franklin, M., Hunt, T., Hames, D.,
Tozer, N., Hawkes, P., Dornbusch, U., and Pullen, T.: Multivariate extreme
value modelling of sea conditions around the coast of England, Proc. Inst.
Civ. Eng. Marit. Eng., 170, 3–20, 2017.
Hanea, A., Kurowicka, D., Cooke, R. M. and Ababei, D. A.: Mining and visualising ordinal data with non-parametric continuous BBNs, Comput. Stat. Data Anal., 54, 668–687, 2010.
Hanea, A., Morales Napoles, O., and Ababei, D.: Non-parametric Bayesian
networks: Improving theory and reviewing applications, Reliab. Eng. Syst.
Saf., 144, 265–284, 2015.
Hao, Z. and Singh, V. P.: Review of dependence modeling in hydrology and
water resources, Prog. Phys. Geogr., 40, 549–578, 2016.
Hao, Z., Hao, F., Singh, V. P., and Ouyang, W.: Quantitative risk assessment
of the effects of drought on extreme temperature in eastern China, J.
Geophys. Res.-Atmos., 122, 9050–9059, 2017.
Hao, Z., Singh, V., and Hao, F.: Compound extremes in hydroclimatology: A
review, Water, 10, 718, https://doi.org/10.3390/w10060718, 2018.
Hashemi, S. J., Khan, F. I. and Ahmed, S.: Multivariate probabilistic safety analysis of process facilities using the Copula Bayesian Network model, Comput. Chem. Eng., 93, 128–142, 2016.
Hatvani-Kovacs, G., Belusko, M., Pockett, J., and Boland, J.: Assessment of
heatwave impacts, Procedia. Engineer., 169, 316–323, 2016.
Hauser, M., Orth, R., and Seneviratne, S. I.: Role of soil moisture vs. recent climate
change for heat waves in western Russia, Geophys. Res. Lett., 43,
2819–2826, 2015.
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.: A directory of coefficients of tail dependence, Extremes,
3, 279–290, 2000.
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.
Hilal, S., Poon, S. H., and Tawn, J.: Hedging the black swan: Conditional
heteroskedasticity and tail dependence in S&P500 and VIX, J. Bank.
Financ., 35, 2374–2387, 2011.
Hincks, T. K., Malamud, B. D., Sparks, R. S. J., Wooster, M. J., and Lynham, T. J.: Risk assessment and management of wildfires, in: Risk and uncertainty
assessment for natural hazards, edited by: Rougier, J., Sparks, S., and Hill, L., Cambridge University Press, Cambridge, 398–444, 2013.
Hofstra, N., Haylock, M., New, M., and Jones, P. D.: Testing E-OBS European
high-resolution gridded data set of daily precipitation and surface
temperature, J. Geophys. Res.-Atmos., 114, D21101,
https://doi.org/10.1029/2009JD011799, 2009.
Huser, R.: Statistical Modeling and Inference for Spatio-Temporal Extremes, PhD thesis,
EPFL, available at: https://infoscience.epfl.ch/record/188557?ln=en (last access: 28 January 2020), 2013.
Instituto National de Estatistica Portugal, https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_indicadores&indOcorrCod=0004168&contexto=bd&selTab=tab2, last access: 1 December 2019.
Joe, H.: Multivariate models and multivariate dependence concepts, Chapman and Hall/CRC, London, 1997.
Johansson, B. and Chen, D.: The influence of wind and topography on
precipitation distribution in Sweden: Statistical analysis and modelling,
Int. J. Climatol., 23, 1523–1535, 2003.
Kahle, D. and Wickham, H.: ggmap: Spatial Visualization with ggplot2, R
J., 5, 144–161, 2013.
Keef, C., Papastathopoulos, I., and Tawn, J. A.: Estimation of the
conditional distribution of a multivariate variable given that one of its
components is large: Additional constraints for the Heffernan and Tawn
model, J. Multivar. Anal., 115, 396–404, 2013.
Koopmans, L. H., Owen, D. B., and Rosenblatt, J. I.: Confidence intervals for
the coefficient of variation for the normal and log normal distributions,
Biometrika, 51, 25–32, 1964.
Ledford, A. W. and Tawn, J. A: Statistics for near independence in
multivariate extreme values, Biometrika, 83, 169–187, 1996.
Ledford, A. W. and Tawn, J. A.: Modelling dependence within joint tail
regions, J. Roy. Stat. Soc. B, 59, 475–499, 1997.
Ledford, A. W. and Tawn, J. A.: Diagnostics for dependence within time
series extremes, J. Roy. Stat. Soc. B, 65, 521–543,
2003.
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, Wiley Interdiscip. Rev.
Clim. Chang., 5, 113–128, 2014.
Littell, J. S., McKenzie, D., Peterson, D. L., and Westerling, A. L.:
Climate and wildfire area burned in western US ecoprovinces, 1916–2003,
Ecol. Appl., 19, 1003–1021, 2009.
Liu, Z., Cheng, L., Hao, Z., Li, J., Thorstensen, A., and Gao, H.: A
framework for exploring joint effects of conditional factors on compound
floods, Water Resour. Res., 54, 2681–2696, 2018.
Loukatou, A., Howell, S., Johnson, P., and Duck, P.: Stochastic wind speed
modelling for estimation of expected wind power output, Appl. Energ., 228,
1328–1340, 2018.
Malamud, B. D. and Turcotte, D. L.: Self-affine time series: I. Generation
and analyses, Adv. Geophys., 40, 1–90, 1999.
Malamud, B. D. and Turcotte, D. L.: The applicability of power-law frequency
statistics to floods, J. Hydrol., 322, 168–180, 2006.
Martius, O., Pfahl, S., and Chevalier, C.: A global quantification of
compound precipitation and wind extremes, Geophys. Res. Lett., 43,
7709–7717, 2016.
Maulik, K. and Resnick, S.: Characterizations and examples of hidden regular
variation, Extremes, 7, 31–67, 2005.
Mazas, F. and Hamm, L.: An event-based approach for extreme joint
probabilities of waves and sea levels, Coast. Eng., 122, 44–59, 2017.
Met Office: How we measure wind: available at: https://www.metoffice.gov.uk/weather/guides/observations/how-we-measure-wind, last access: 12 November 2019.
Ming, X., Xu, W., Li, Y., Du, J., Liu, B., and Shi, P.: Quantitative
multi-hazard risk assessment with vulnerability surface and hazard joint
return period, Stoch. Environ. Res. Risk Assess., 29, 35–44, 2015.
Miranda, P. M. A., Coelho, F. E. S., Tomé, A. R., Valente, M. A.,
Carvalho, A., Pires, C., Pires, H. O., Pires, V. C., and Ramalho, C.: 20th
Century Portuguese Climate and Climate Scenarios, in: Climate Change in
Portugal. Scenarios, Impacts and Adaptation Measures – SIAM Project, edited by: Santos,
F. D., Forbes, K., and Moita, R., Gradiva Publishers, Lisbon, 28–83, 2002.
Nelsen, R.: An Introduction to Copulas, Springer New York, New York, NY, USA,
2006.
Nguyen Sinh, H., Lombardo, F. T., and Letchford, C.: Multivariate simulation
for assessing the joint wind and ice hazard in the United States, J. Wind
Eng. Ind. Aerodyn., 184, 436–444, 2019.
Pereira, M. G., Malamud, B. D., Trigo, R. M., and Alves, P. I.: The history and characteristics of the 1980–2005 Portuguese rural fire database, Nat. Hazards Earth Syst. Sci., 11, 3343–3358, https://doi.org/10.5194/nhess-11-3343-2011, 2011.
Perkins, S. E.: A review on the scientific understanding of heatwaves-Their measurement, driving mechanisms, and changes at the global scale, Atmos. Res., 164–165, 242–267, 2015.
Petroliagkis, T. I.: Estimations of statistical dependence as joint return period modulator of compound events – Part 1: Storm surge and wave height, Nat. Hazards Earth Syst. Sci., 18, 1937–1955, https://doi.org/10.5194/nhess-18-1937-2018, 2018
Pickands, J.: Multivariate extreme value distribution, in: Proceedings of the 43th Session of International Statistical Institution, Buenos Aires, 1981.
Raveh-Rubin, S. and Wernli, H.: Large-scale wind and precipitation extremes
in the Mediterranean: dynamical aspects of five selected cyclone events, Q.
J. R. Meteorol. Soc., 142, 3097–3114, 2016.
Resnick, S.: Hidden regular variation, second order regular variation and
asymptotic independence, Extremes, 5, 303–336, 2002.
Resnick, S. I.: Extreme Values, Regular Variation and Point Processes,
Springer New York, New York, NY, USA, 1987.
Sachs, M. K., Yoder, M. R., Turcotte, D. L., Rundle, J. B., and Malamud, B.
D.: Black swans, power laws, and dragon-kings: Earthquakes, volcanic
eruptions, landslides, wildfires, floods, and SOC models, Eur. Phys. J.
Spec. Top., 205, 167–182, 2012.
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, 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, 2018.
Salvadori, G.: Bivariate return periods via 2-Copulas, Stat. Methodol.,
1, 129–144, 2004.
Salvadori, G. and De Michele, C.: Multivariate multiparameter extreme value
models and return periods: A copula approach, Water Resour. Res., 46, 2009WR009040, https://doi.org/10.1029/2009WR009040, 2010.
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.
Schwarz, G.: Estimating the dimension of a model, Ann. Stat., 6,
461–464, 1978.
Serinaldi, F.: Dismissing return periods!, Stoch. Environ. Res. Risk
Assess., 29, 1179–1189, 2015.
Serinaldi, F.: Can we tell more than we can know? The limits of bivariate
drought analyses in the United States, Stoch. Environ. Res. Risk Assess.,
30, 1691–1704, 2016.
Sklar, A.: Fonction de répartition dont les marges sont données, Publications de l’Institut Statistique de l’Université de Paris, 8, 229–231, 1959.
Stephens, M. A.: Use of the Kolmogorov-Smirnov, Cramer-Von Mises and related
statistics without extensive tables, J. R. Stat. Soc. Ser. B, 32, 115–122, 1970.
Sutanto, S. J., Vitolo, C., Di Napoli, C., D'Andrea, M., and Van Lanen, H. A.
J.: Heatwaves, droughts, and fires: Exploring compound and cascading dry
hazards at the pan-European scale, Environ. Int., 134, 105276, https://doi.org/10.1016/j.envint.2019.105276, 2020.
Tedim, F., Leone, V., Amraoui, M., Bouillon, C., Coughlan, M., Delogu, G., Fernandes, P., Ferreira, C., McCaffrey, S., McGee, T., Parente, J., Paton, D., Pereira, M., Ribeiro, L., Viegas, D. and Xanthopoulos, G.: Defining Extreme Wildfire Events: Difficulties, Challenges, and Impacts, Fire, 1, 9, https://doi.org/10.3390/fire1010009, 2018.
Tencer, B., Weaver, A., and Zwiers, F.: Joint occurrence of daily temperature
and precipitation extreme events over Canada, J. Appl. Meteorol. Climatol.,
53, 2148–2162, 2014.
Terzi, S., Torresan, S., Schneiderbauer, S., Critto, A., Zebisch, M., and
Marcomini, A.: Multi-risk assessment in mountain regions: A review of
modelling approaches for climate change adaptation, J. Environ. Manage.,
232, 759–771, 2019.
Tilloy, A.: Bivariate_models, available at: https://gitlab.com/doudeg/bivariate_models, last access: 11 January 2020a.
Tilloy, A.: Comparison of bivariate extreme modelling approaches for multi-hazard scenarios, Zenodo, https://doi.org/10.5281/zenodo.3686962, 2020b.
Tilloy, A., Malamud, B. D., Winter, H., and Joly-Laugel, A.: A review of
quantification methodologies for multi-hazard interrelationships,
Earth-Sci. Rev., 196, 102881, https://doi.org/10.1016/j.earscirev.2019.102881,
2019.
UERRA: UERRA Project, available at: http://www.uerra.eu/, last access: 12 February 2020.
UNISDR (United Nations Office for Disaster Risk Reduction): UNISDR
Terminology on Disaster Risk Reduction, United Nations International Strategy for Disaster
Reduction (UNISDR), Geneva, Switzerland, 2009.
Vitolo, C., Di Napoli, C., Di Giuseppe, F., Cloke, H. L., and Pappenberger,
F.: Mapping combined wildfire and heat stress hazards to improve
evidence-based decision making, Environ. Int., 127, 21–34, 2019.
Vogel, M. M., Zscheischler, J., Fischer, E. M. and Seneviratne, S. I.: Development of future heatwaves for different hazard thresholds, J. Geophys. Res. Atmos., 125, e2019JD032070, https://doi.org/10.1029/2019JD032070, 2020.
Volpi, E. and Fiori, A.: Design event selection in bivariate hydrological
frequency analysis, Hydrol. Sci. J., 57, 1506–1515, 2012.
Webb, J. D. C. and Elsom, D. M.: Severe Hailstorms in the United Kingdom and
Ireland: A Climatological Survey with Recent and Historical Case Studies,
in: Extreme Weather: Forty Years of the Tornado and Storm Research
Organisation (TORRO), edited by: Doe, R. K., John Wiley Sons, Chichester, UK, 155–194,
2016.
Winter, H. C.: Extreme Value Modelling of Heatwaves, PhD thesis, Lancaster
University, available at: https://eprints.lancs.ac.uk/id/eprint/79961/ (last access: 28 December 2019), 2016.
Winter, H. C. and Tawn, J. A.: Modelling heatwaves in central France: A
case-study in extremal dependence, J. R. Stat. Soc. Ser. C-Appl.,
65, 345–365, 2016.
Winter, H. C., Tawn, J. A., and Brown, S. J.: Modelling the effect of the El
Niño-southern oscillation on extreme spatial temperature events over
Australia, Ann. Appl. Stat., 10, 2075–2101, 2016.
Witte, J. C., Douglass, A. R., da Silva, A., Torres, O., Levy, R., and Duncan, B. N.: NASA A-Train and Terra observations of the 2010 Russian wildfires, Atmos. Chem. Phys., 11, 9287–9301, https://doi.org/10.5194/acp-11-9287-2011, 2011.
WMO (World Meteorological Organization) OSCAR: Details for
Variable: Wind gust, available at:
https://www.wmo-sat.info/oscar/variables/view/205 (last access: 23 June 2019),
2019.
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. and Seneviratne, S. I.: Dependence of drivers affects risks
associated with compound events, Sci. Adv., 3, e1700263, https://doi.org/10.1016/j.ecoinf.2013.03.004, 2017.
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.
Chang., 8, 469–477, 2018.
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Short summary
Estimating risks induced by interacting natural hazards remains a challenge for practitioners. An approach to tackle this challenge is to use multivariate statistical models. Here we evaluate the efficacy of six models. The models are compared against synthetic data which are comparable to time series of environmental variables. We find which models are more appropriate to estimate relations between hazards in a range of cases. We highlight the benefits of this approach with two examples.
Estimating risks induced by interacting natural hazards remains a challenge for practitioners....
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