Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2633-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-2633-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Aug 2024
Research article |
| 01 Aug 2024
| 01 Aug 2024
Surprise floods: the role of our imagination in preparing for disasters
Joy Ommer
CORRESPONDING AUTHOR
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6UR, United Kingdom
KAJO s.r.o., Bytca, 01401, Slovakia
Jessica Neumann
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6UR, United Kingdom
Milan Kalas
KAJO s.r.o., Bytca, 01401, Slovakia
Sophie Blackburn
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6UR, United Kingdom
Hannah L. Cloke
Department of Geography and Environmental Science, University of Reading, Reading, RG6 6UR, United Kingdom
Department of Meteorology, University of Reading, Reading, RG6 6UR, United Kingdom
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We investigate the synoptic evolution associated with the occurrence of an atmospheric river that led to a 24 h record-breaking extreme precipitation event (120.3 mm) in Lisbon, Portugal, on 13 December 2022. The synoptic background allowed the formation, on 10 December, of an atmospheric river associated with a deep extratropical cyclone and with a high moisture content and an inflow of moisture, due to the warm conveyor belt, throughout its life cycle. The system made landfall on 12 December.
Elena Xoplaki, Florian Ellsäßer, Jens Grieger, Katrin M. Nissen, Joaquim G. Pinto, Markus Augenstein, Ting-Chen Chen, Hendrik Feldmann, Petra Friederichs, Daniel Gliksman, Laura Goulier, Karsten Haustein, Jens Heinke, Lisa Jach, Florian Knutzen, Stefan Kollet, Jürg Luterbacher, Niklas Luther, Susanna Mohr, Christoph Mudersbach, Christoph Müller, Efi Rousi, Felix Simon, Laura Suarez-Gutierrez, Svenja Szemkus, Sara M. Vallejo-Bernal, Odysseas Vlachopoulos, and Frederik Wolf
Nat. Hazards Earth Syst. Sci., 25, 541–564, https://doi.org/10.5194/nhess-25-541-2025, https://doi.org/10.5194/nhess-25-541-2025, 2025
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Europe frequently experiences compound events, with major impacts. We investigate these events’ interactions, characteristics, and changes over time, focusing on socio-economic impacts in Germany and central Europe. Highlighting 2018’s extreme events, this study reveals impacts on water, agriculture, and forests and stresses the need for impact-focused definitions and better future risk quantification to support adaptation planning.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 25, 429–449, https://doi.org/10.5194/nhess-25-429-2025, https://doi.org/10.5194/nhess-25-429-2025, 2025
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The use of numerical weather prediction models enables the forecasting of hazardous weather situations. The incorporation of new temperature and relative humidity observations from personal weather stations into the French limited-area model is evaluated in this study. This leads to the improvement of the associated near-surface variables of the model during the first hours of the forecast. Examples are provided for a sea breeze case during a heatwave and a fog episode.
Francisco Javier Acero, Manuel Antón, Alejandro Jesús Pérez Aparicio, Nieves Bravo-Paredes, Víctor Manuel Sánchez Carrasco, María Cruz Gallego, José Agustín García, Marcelino Núñez, Irene Tovar, Javier Vaquero-Martínez, and José Manuel Vaquero
Nat. Hazards Earth Syst. Sci., 25, 305–320, https://doi.org/10.5194/nhess-25-305-2025, https://doi.org/10.5194/nhess-25-305-2025, 2025
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The month of June 1925 was found to be exceptional in the southwest interior of the Iberian Peninsula due to the large number of thunderstorms and their significant impacts, with serious losses of human lives and material resources. We analyzed this event from different, complementary perspectives: reconstruction of the history of the events from newspapers, study of monthly meteorological variables of the longest series available, and the analysis of the meteorological synoptic situation.
Tiberiu-Eugen Antofie, Stefano Luoni, Aloïs Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci., 25, 287–304, https://doi.org/10.5194/nhess-25-287-2025, https://doi.org/10.5194/nhess-25-287-2025, 2025
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This is the first study that uses spatial patterns (clusters/hotspots) and meta-analysis in order to identify the regions at a European level at risk of multi-hazards. The findings point out the socioeconomic dimension as a determining factor in the potential risk of multi-hazards. 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 national risk assessment preparation.
Joona Cornér, Clément Bouvier, Benjamin Doiteau, Florian Pantillon, and Victoria A. Sinclair
Nat. Hazards Earth Syst. Sci., 25, 207–229, https://doi.org/10.5194/nhess-25-207-2025, https://doi.org/10.5194/nhess-25-207-2025, 2025
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Classification reduces the considerable variability between extratropical cyclones (ETCs) and thus simplifies studying their representation in climate models and changes in the future climate. In this paper we present an objective classification of ETCs using measures of ETC intensity. This is motivated by the aim of finding a set of ETC intensity measures which together comprehensively describe both the dynamical and impact-relevant nature of ETC intensity.
Cedric G. Ngoungue Langue, Christophe Lavaysse, and Cyrille Flamant
Nat. Hazards Earth Syst. Sci., 25, 147–168, https://doi.org/10.5194/nhess-25-147-2025, https://doi.org/10.5194/nhess-25-147-2025, 2025
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The present study addresses the predictability of heat waves at subseasonal timescales in West African cities over the period 2001–2020. Two models, the European Centre for Medium-Range Weather Forecasts (ECMWF) and the UK Met Office models, were evaluated using two reanalyses: ERA5 and MERRA. The results suggest that at subseasonal timescales, the forecast models provide a better forecast than climatology, but the hit rate and false alarm rate are sub-optimal.
Florian Knutzen, Paul Averbeck, Caterina Barrasso, Laurens M. Bouwer, Barry Gardiner, José M. Grünzweig, Sabine Hänel, Karsten Haustein, Marius Rohde Johannessen, Stefan Kollet, Mortimer M. Müller, Joni-Pekka Pietikäinen, Karolina Pietras-Couffignal, Joaquim G. Pinto, Diana Rechid, Efi Rousi, Ana Russo, Laura Suarez-Gutierrez, Sarah Veit, Julian Wendler, Elena Xoplaki, and Daniel Gliksman
Nat. Hazards Earth Syst. Sci., 25, 77–117, https://doi.org/10.5194/nhess-25-77-2025, https://doi.org/10.5194/nhess-25-77-2025, 2025
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Our research, involving 22 European scientists, investigated drought and heat impacts on forests in 2018–2022. Findings reveal that climate extremes are intensifying, with central Europe being most severely impacted. The southern region showed resilience due to historical drought exposure, while northern and Alpine areas experienced emerging or minimal impacts. The study highlights the need for region-specific strategies, improved data collection, and sustainable practices to safeguard forests.
Georgy Ayzel and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 25, 41–47, https://doi.org/10.5194/nhess-25-41-2025, https://doi.org/10.5194/nhess-25-41-2025, 2025
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Forecasting rainfall over the next hour is an essential feature of early warning systems. Deep learning (DL) has emerged as a powerful alternative to conventional nowcasting technologies, but it still struggles to adequately predict impact-relevant heavy rainfall. We think that DL could do much better if the training tasks were defined more specifically and that such specification presents an opportunity to better align the output of nowcasting models with actual user requirements.
Monica Ionita, Petru Vaideanu, Bogdan Antonescu, Catalin Roibu, Qiyun Ma, and Viorica Nagavciuc
Nat. Hazards Earth Syst. Sci., 24, 4683–4706, https://doi.org/10.5194/nhess-24-4683-2024, https://doi.org/10.5194/nhess-24-4683-2024, 2024
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Eastern Europe's heat wave history is explored from 1885 to 2023, with a focus on pre-1960 events. The study reveals two periods with more frequent and intense heat waves (HWs): 1920s–1960s and 1980s–present. The research highlights the importance of a long-term perspective, revealing that extreme heat events have occurred throughout the entire study period, and it emphasizes the combined influence of climate change and natural variations on increasing HW severity.
Tristan Shepherd, Frederick Letson, Rebecca J. Barthelmie, and Sara C. Pryor
Nat. Hazards Earth Syst. Sci., 24, 4473–4505, https://doi.org/10.5194/nhess-24-4473-2024, https://doi.org/10.5194/nhess-24-4473-2024, 2024
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A historic derecho in the USA is presented. The 29 June 2012 derecho caused more than 20 deaths and millions of US dollars of damage. We use a regional climate model to understand how model fidelity changes under different initial conditions. We find changes drive different convective conditions, resulting in large variation in the simulated hazards. The variation using different reanalysis data shows that framing these results in the context of contemporary and future climate is a challenge.
Lena Wilhelm, Cornelia Schwierz, Katharina Schröer, Mateusz Taszarek, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 3869–3894, https://doi.org/10.5194/nhess-24-3869-2024, https://doi.org/10.5194/nhess-24-3869-2024, 2024
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In our study we used statistical models to reconstruct past hail days in Switzerland from 1959–2022. This new time series reveals a significant increase in hail day occurrences over the last 7 decades. We link this trend to increases in moisture and instability variables in the models. This time series can now be used to unravel the complexities of Swiss hail occurrence and to understand what drives its year-to-year variability.
Marc Lemus-Canovas, Sergi Gonzalez-Herrero, Laura Trapero, Anna Albalat, Damian Insua-Costa, Martin Senande-Rivera, and Gonzalo Miguez-Macho
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-192, https://doi.org/10.5194/nhess-2024-192, 2024
Revised manuscript accepted for NHESS
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This study explores the 2022 heatwaves in the Pyrenees, examining the factors that contributed to their intensity and distribution. The June event was driven by strong winds that created uneven temperature patterns, while the July heatwave featured calmer conditions and more uniform temperatures. Human-driven climate change has made these heatwaves more severe compared to the past. This research helps us better understand how climate change affects extreme weather in mountainous regions.
Xiaowei Zhao, Tianzeng Yang, Hongbo Zhang, Tian Lan, Chaowei Xue, Tongfang Li, Zhaoxia Ye, Zhifang Yang, and Yurou Zhang
Nat. Hazards Earth Syst. Sci., 24, 3479–3495, https://doi.org/10.5194/nhess-24-3479-2024, https://doi.org/10.5194/nhess-24-3479-2024, 2024
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To effectively track and identify droughts, we developed a novel integrated drought index that combines the effects of precipitation, temperature, and soil moisture on drought. After comparison and verification, the integrated drought index shows superior performance compared to a single meteorological drought index or agricultural drought index in terms of drought identification.
Julia Moemken, Inovasita Alifdini, Alexandre M. Ramos, Alexandros Georgiadis, Aidan Brocklehurst, Lukas Braun, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 24, 3445–3460, https://doi.org/10.5194/nhess-24-3445-2024, https://doi.org/10.5194/nhess-24-3445-2024, 2024
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European windstorms regularly cause damage to natural and human-made environments, leading to high socio-economic losses. For the first time, we compare estimates of these losses using a meteorological loss index (LI) and the insurance loss (catastrophe) model of Aon Impact Forecasting. We find that LI underestimates high-impact windstorms compared to the insurance model. Nonetheless, due to its simplicity, LI is an effective index, suitable for estimating impacts and ranking storm events.
Baruch Ziv, Uri Dayan, Lidiya Shendrik, and Elyakom Vadislavsky
Nat. Hazards Earth Syst. Sci., 24, 3267–3277, https://doi.org/10.5194/nhess-24-3267-2024, https://doi.org/10.5194/nhess-24-3267-2024, 2024
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The train effect is related to convective cells that pass over the same place. Trains produce heavy rainfall and sometimes floods and are reported in North America during spring and summer. In Israel, 17 trains associated with Cyprus lows were identified by radar images and were found within the cold sector south of the low center and in the left flank of a maximum wind belt; they cross the Israeli coast, with a mean length of 45 km; last 1–3 h; and yield 35 mm of rainfall up to 60 mm.
Lou Brett, Christopher J. White, Daniela I.V. Domeisen, Bart van den Hurk, Philip Ward, and Jakob Zscheischler
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-182, https://doi.org/10.5194/nhess-2024-182, 2024
Revised manuscript under review for NHESS
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Compound events, where multiple weather or climate hazards occur together, pose significant risks to both society and the environment. These events, like simultaneous wind and rain, can have more severe impacts than single hazards. Our review of compound event research from 2012–2022 reveals a rise in studies, especially on events that occur concurrently, hot and dry events and compounding flooding. The review also highlights opportunities for research in the coming years.
Andrew Brown, Andrew Dowdy, and Todd P. Lane
Nat. Hazards Earth Syst. Sci., 24, 3225–3243, https://doi.org/10.5194/nhess-24-3225-2024, https://doi.org/10.5194/nhess-24-3225-2024, 2024
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A computer model that simulates the climate of southeastern Australia is shown here to represent extreme wind events associated with convective storms. This is useful as it allows us to investigate possible future changes in the occurrences of these events, and we find in the year 2050 that our model simulates a decrease in the number of occurrences. However, the model also simulates too many events in the historical climate compared with observations, so these future changes are uncertain.
Katharina Küpfer, Alexandre Tuel, and Michael Kunz
EGUsphere, https://doi.org/10.5194/egusphere-2024-2803, https://doi.org/10.5194/egusphere-2024-2803, 2024
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Using loss data, we assess when and how single and multiple types of meteorological extremes (river floods and heavy rainfall events, windstorms and convective gusts, and hail). We find that the combination of several types of hazards clusters robustly on a seasonal scale, whereas only some single hazard types occur in clusters. This can be associated with higher losses compared to isolated events. We argue for the relevance of jointly considering multiple types of hazards.
Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass
Nat. Hazards Earth Syst. Sci., 24, 3035–3047, https://doi.org/10.5194/nhess-24-3035-2024, https://doi.org/10.5194/nhess-24-3035-2024, 2024
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We have used the temperature and relative humidity sensors in smartphones to estimate the vapor pressure deficit (VPD), an important atmospheric parameter closely linked to fuel moisture and wildfire risk. Our analysis for two severe wildfire case studies in Israel and Portugal shows the potential for using smartphone data to compliment the regular weather station network while also providing high spatial resolution of the VPD index.
Florian Ruff and Stephan Pfahl
Nat. Hazards Earth Syst. Sci., 24, 2939–2952, https://doi.org/10.5194/nhess-24-2939-2024, https://doi.org/10.5194/nhess-24-2939-2024, 2024
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High-impact river floods are often caused by extreme precipitation. Flood protection relies on reliable estimates of the return values. Observational time series are too short for a precise calculation. Here, 100-year return values of daily precipitation are estimated on a global grid based on a large set of model-generated precipitation events from ensemble weather prediction. The statistical uncertainties in the return values can be substantially reduced compared to observational estimates.
Erik Holmgren and Erik Kjellström
Nat. Hazards Earth Syst. Sci., 24, 2875–2893, https://doi.org/10.5194/nhess-24-2875-2024, https://doi.org/10.5194/nhess-24-2875-2024, 2024
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Associating extreme weather events with changes in the climate remains difficult. We have explored two ways these relationships can be investigated: one using a more common method and one relying solely on long-running records of meteorological observations.
Our results show that while both methods lead to similar conclusions for two recent weather events in Sweden, the commonly used method risks underestimating the strength of the connection between the event and changes to the climate.
François Bouttier and Hugo Marchal
Nat. Hazards Earth Syst. Sci., 24, 2793–2816, https://doi.org/10.5194/nhess-24-2793-2024, https://doi.org/10.5194/nhess-24-2793-2024, 2024
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Weather prediction uncertainties can be described as sets of possible scenarios – a technique called ensemble prediction. Our machine learning technique translates them into more easily interpretable scenarios for various users, balancing the detection of high precipitation with false alarms. Key parameters are precipitation intensity and space and time scales of interest. We show that the approach can be used to facilitate warnings of extreme precipitation.
Raphael Portmann, Timo Schmid, Leonie Villiger, David N. Bresch, and Pierluigi Calanca
Nat. Hazards Earth Syst. Sci., 24, 2541–2558, https://doi.org/10.5194/nhess-24-2541-2024, https://doi.org/10.5194/nhess-24-2541-2024, 2024
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The study presents an open-source model to determine the occurrence of hail damage to field crops and grapevines after hailstorms in Switzerland based on radar, agricultural land use data, and insurance damage reports. The model performs best at 8 km resolution for field crops and 1 km for grapevine and in the main production areas. Highlighting performance trade-offs and the relevance of user needs, the study is a first step towards the assessment of risk and damage for crops in Switzerland.
Dieter Roel Poelman, Hannes Kohlmann, and Wolfgang Schulz
Nat. Hazards Earth Syst. Sci., 24, 2511–2522, https://doi.org/10.5194/nhess-24-2511-2024, https://doi.org/10.5194/nhess-24-2511-2024, 2024
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EUCLID's lightning data unveil distinctive ground strike point (GSP) patterns in Europe. Over seas, GSPs per flash surpass inland, reaching a minimum in the Alps. Mountainous areas like the Alps and Pyrenees have the closest GSP separation, highlighting terrain elevation's impact. The daily peak current correlates with average GSPs per flash. These findings could significantly influence lightning protection measures, urging a focus on GSP density rather than flash density for risk assessment.
Nicola Loglisci, Giorgio Boni, Arianna Cauteruccio, Francesco Faccini, Massimo Milelli, Guido Paliaga, and Antonio Parodi
Nat. Hazards Earth Syst. Sci., 24, 2495–2510, https://doi.org/10.5194/nhess-24-2495-2024, https://doi.org/10.5194/nhess-24-2495-2024, 2024
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We analyse the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in Genoa. Rainfall observations were made using rain gauge networks based on either official networks or citizen science networks. The merged analysis stresses the spatial variability in the precipitation, which cannot be captured by the current spatial density of authoritative stations. Results show that at minimal distances the variations in cumulated rainfall over a sub-hourly duration are significant.
Ellina Agayar, Franziska Aemisegger, Moshe Armon, Alexander Scherrmann, and Heini Wernli
Nat. Hazards Earth Syst. Sci., 24, 2441–2459, https://doi.org/10.5194/nhess-24-2441-2024, https://doi.org/10.5194/nhess-24-2441-2024, 2024
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This study presents the results of a climatological investigation of extreme precipitation events (EPEs) in Ukraine for the period 1979–2019. During all seasons EPEs are associated with pronounced upper-level potential vorticity (PV) anomalies. In addition, we find distinct seasonal and regional differences in moisture sources. Several extreme precipitation cases demonstrate the importance of these processes, complemented by a detailed synoptic analysis.
Antonio Giordani, Michael Kunz, Kristopher M. Bedka, Heinz Jürgen Punge, Tiziana Paccagnella, Valentina Pavan, Ines M. L. Cerenzia, and Silvana Di Sabatino
Nat. Hazards Earth Syst. Sci., 24, 2331–2357, https://doi.org/10.5194/nhess-24-2331-2024, https://doi.org/10.5194/nhess-24-2331-2024, 2024
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To improve the challenging representation of hazardous hailstorms, a proxy for hail frequency based on satellite detections, convective parameters from high-resolution reanalysis, and crowd-sourced reports is tested and presented. Hail likelihood peaks in mid-summer at 15:00 UTC over northern Italy and shows improved agreement with observations compared to previous estimates. By separating ambient signatures based on hail severity, enhanced appropriateness for large-hail occurrence is found.
Claire L. Ryder, Clément Bézier, Helen F. Dacre, Rory Clarkson, Vassilis Amiridis, Eleni Marinou, Emmanouil Proestakis, Zak Kipling, Angela Benedetti, Mark Parrington, Samuel Rémy, and Mark Vaughan
Nat. Hazards Earth Syst. Sci., 24, 2263–2284, https://doi.org/10.5194/nhess-24-2263-2024, https://doi.org/10.5194/nhess-24-2263-2024, 2024
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Desert dust poses a hazard to aircraft via degradation of engine components. This has financial implications for the aviation industry and results in increased fuel burn with climate impacts. Here we quantify dust ingestion by aircraft engines at airports worldwide. We find Dubai and Delhi in summer are among the dustiest airports, where substantial engine degradation would occur after 1000 flights. Dust ingestion can be reduced by changing take-off times and the altitude of holding patterns.
Khalil Ur Rahman, Songhao Shang, Khaled Saeed Balkhair, Hamza Farooq Gabriel, Khan Zaib Jadoon, and Kifayat Zaman
Nat. Hazards Earth Syst. Sci., 24, 2191–2214, https://doi.org/10.5194/nhess-24-2191-2024, https://doi.org/10.5194/nhess-24-2191-2024, 2024
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This paper assesses the impact of drought (meteorological drought) on the hydrological alterations in major rivers of the Indus Basin. Threshold regression and range of variability analysis are used to determine the drought severity and times where drought has caused low flows and extreme low flows (identified using indicators of hydrological alterations). Moreover, this study also examines the degree of alterations in river flows due to drought using the hydrological alteration factor.
Alexander Frank Vessey, Kevin I. Hodges, Len C. Shaffrey, and Jonathan J. Day
Nat. Hazards Earth Syst. Sci., 24, 2115–2132, https://doi.org/10.5194/nhess-24-2115-2024, https://doi.org/10.5194/nhess-24-2115-2024, 2024
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The risk posed to ships by Arctic cyclones has seldom been quantified due to the lack of publicly available historical Arctic ship track data. This study investigates historical Arctic ship tracks, cyclone tracks, and shipping incident reports to determine the number of shipping incidents caused by the passage of Arctic cyclones. Results suggest that Arctic cyclones have not been hazardous to ships and that ships are resilient to the rough sea conditions caused by Arctic cyclones.
Niklas Ebers, Kai Schröter, and Hannes Müller-Thomy
Nat. Hazards Earth Syst. Sci., 24, 2025–2043, https://doi.org/10.5194/nhess-24-2025-2024, https://doi.org/10.5194/nhess-24-2025-2024, 2024
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Future changes in sub-daily rainfall extreme values are essential in various hydrological fields, but climate scenarios typically offer only daily resolution. One solution is rainfall generation. With a temperature-dependent rainfall generator climate scenario data were disaggregated to 5 min rainfall time series for 45 locations across Germany. The analysis of the future 5 min rainfall time series showed an increase in the rainfall extremes values for rainfall durations of 5 min and 1 h.
Ran Zhu and Lei Chen
Nat. Hazards Earth Syst. Sci., 24, 1937–1950, https://doi.org/10.5194/nhess-24-1937-2024, https://doi.org/10.5194/nhess-24-1937-2024, 2024
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There is a positive correlation between the frequency of Jianghuai cyclone activity and precipitation during the Meiyu period. Its occurrence frequency has an obvious decadal variation, which corresponds well with the quasi-periodic and decadal variation in precipitation during the Meiyu period. This study provides a reference for the long-term and short-term forecasting of precipitation during the Meiyu period.
Andreas Trojand, Henning Rust, and Uwe Ulbrich
EGUsphere, https://doi.org/10.5194/egusphere-2024-1506, https://doi.org/10.5194/egusphere-2024-1506, 2024
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The study investigates how the intensity of previous windstorm events and the time between two events affect the vulnerability of residential buildings in Germany. By analyzing 23 years of data, it was found that higher intensity of previous events generally reduces vulnerability in subsequent storms, while shorter intervals between events increase vulnerability. The results emphasize the approach of considering vulnerability in risk assessments as temporal dynamic.
Shao-Yi Lee, Sicheng He, and Tetsuya Takemi
EGUsphere, https://doi.org/10.5194/egusphere-2024-1304, https://doi.org/10.5194/egusphere-2024-1304, 2024
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Summer rainfall extremes over western Japan were calculated every year, using radar, rain-gauges, and model. Similar regions were determined by machine learning. The relationships between regional rainfall extremes and Pacific climate modes. The modelled relationships were similar to the observed ones for the El Niño-Southern Oscillation and the warming trend. However, the model did not reproduce the relationship for Pacific Decadal Variability.
Cees de Valk and Henk van den Brink
EGUsphere, https://doi.org/10.5194/egusphere-2024-912, https://doi.org/10.5194/egusphere-2024-912, 2024
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Recently updated flood safety norms in the Netherlands prescribe that sea dikes and other flood-protecting structures should withstand high sea levels reached very rarely, locally down to only once in 10 million years. We show that such levels can be estimated with reasonable accuracy by the cautious use of very large datasets of numerical simulations of weather and storm surge.
Natalia Korhonen, Otto Hyvärinen, Virpi Kollanus, Timo Lanki, Juha Jokisalo, Risto Kosonen, David S. Richardson, and Kirsti Jylhä
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-75, https://doi.org/10.5194/nhess-2024-75, 2024
Revised manuscript accepted for NHESS
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The skill of hindcasts of the European Centre for Medium-Range Weather Forecasts in forecasting heat wave days (periods with the 5-day moving average temperature being above its local summer 90th percentile) over Europe 1 to 4 weeks ahead is examined. The heat wave days forecasts show potential in warning of heat risk in 1–2 weeks in advance, and enhanced accuracy in forecasting prolonged heat waves, in lead times of up to 3 weeks, when the heat wave had initiated prior to the forecast issuance.
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024, https://doi.org/10.5194/nhess-24-1657-2024, 2024
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The study provides an in-depth analysis of a severe downburst event in Sânnicolau Mare, Romania, utilizing an analytical model and optimization algorithm. The goal is to explore a multitude of generating solutions and to identify potential alternatives to the optimal solution. Advanced data analysis techniques help to discern three main distinct storm scenarios. For this particular event, the best overall solution from the optimization algorithm shows promise in reconstructing the downburst.
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024, https://doi.org/10.5194/nhess-24-1555-2024, 2024
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We combine climate projections from 30 climate models with a climate risk model to project winter windstorm damages in Europe under climate change. We study the uncertainty and sensitivity factors related to the modelling of hazard, exposure and vulnerability. We emphasize high uncertainties in the damage projections, with climate models primarily driving the uncertainty. We find climate change reshapes future European windstorm risk by altering damage locations and intensity.
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024, https://doi.org/10.5194/nhess-24-1539-2024, 2024
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Previous studies found that climate models can predict storm activity in the German Bight well for averages of 5–10 years but struggle in predicting the next winter season. Here, we improve winter storm activity predictions by linking them to physical phenomena that occur before the winter. We guess the winter storm activity from these phenomena and discard model solutions that stray too far from the guess. The remaining solutions then show much higher prediction skill for storm activity.
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024, https://doi.org/10.5194/nhess-24-1501-2024, 2024
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Over Europe, 2022 was truly exceptional in terms of extreme heat conditions, both in terms of temperature anomalies and their temporal and spatial extent. The satellite all-sky land surface temperature (LST) is used to provide a climatological context to extreme heat events. Where drought conditions prevail, LST anomalies are higher than 2 m air temperature anomalies. ERA5-Land does not represent this effect correctly due to a misrepresentation of vegetation anomalies.
Cited articles
Ali, A., Rana, I. A., Ali, A., and Najam, F. A.: Flood risk perception and communication: The role of hazard proximity, J. Environ. Manage., 316, 115309, https://doi.org/10.1016/j.jenvman.2022.115309, 2022.
Apel, H., Vorogushyn, S., and Merz, B.: Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany, Nat. Hazards Earth Syst. Sci., 22, 3005–3014, https://doi.org/10.5194/nhess-22-3005-2022, 2022.
Bakhtiari, V., Piadeh, F., Chen, A. S., and Behzadian, K.: Stakeholder analysis in the application of cutting-edge digital visualisation technologies for urban flood risk management: A critical review, Expert Syst. Appl., 236, 121426, https://doi.org/10.1016/j.eswa.2023.121426, 2024.
Balog-Way, D., McComas, K., and Besley, J.: The Evolving Field of Risk Communication, Risk Anal., 40, 2240–2262, https://doi.org/10.1111/risa.13615, 2020.
Bø, S. and Wolff, K.: I Can See Clearly Now: Episodic Future Thinking and Imaginability in Perceptions of Climate-Related Risk Events, Front. Psychol., 11, 218, https://doi.org/10.3389/fpsyg.2020.00218, 2020.
Braun, V. and Clarke, V.: Using thematic analysis in psychology, Qual. Res. Psychol., 3, 77–101, https://doi.org/10.1191/1478088706qp063oa, 2006.
Bubeck, P., Botzen, W. J. W., and Aerts, J. C. J. H.: A Review of Risk Perceptions and Other Factors that Influence Flood Mitigation Behavior, Risk Anal., 32, 1481–1495, https://doi.org/10.1111/j.1539-6924.2011.01783.x, 2012.
Bubeck, P., Botzen, W. J. W., Kreibich, H., and Aerts, J. C. J. H.: Detailed insights into the influence of flood-coping appraisals on mitigation behaviour, Global Environ. Chang., 23, 1327–1338, https://doi.org/10.1016/j.gloenvcha.2013.05.009, 2013.
Bulley, A. and Schacter, D. L.: Risks, real and imagined, Nat. Aging, 1, 628–630, https://doi.org/10.1038/s43587-021-00097-5, 2021.
Cavedon-Taylor, D.: Untying the knot: imagination, perception and their neural substrates, Synthese, 199, 7203–7230, https://doi.org/10.1007/s11229-021-03110-x, 2021.
ClimateChangePost: A European perspective on recent floods – Opinion, ClimateChangePost, 10 August 2021, https://www.climatechangepost.com/news/a-european-perspective-on-recent-floods-opinion/ (last access: 31 July 2024), 2021.
Cloke, H.: Science needs to address its imagination problem – lives depend on it, NewScientist, https://www.newscientist.com/article/mg25333753-500-science-needs-to-address-its-imagination (last access: 31 July 2024), 2022.
Coeckelbergh, M.: Risk and Public Imagination: Mediated Risk Perception as Imaginative Moral Judgment, in: The ethics of Technological Risk, edited by: Asveld, L. and Roeser, S., Earthscan, London, 202–219, ISBN 978-1-849-77299-0, 2008.
Cologna, V., Bark, R. H., and Paavola, J.: Flood risk perceptions and the UK media: Moving beyond “once in a lifetime” to “Be Prepared” reporting, Clim. Risk Manag., 17, 1–10, https://doi.org/10.1016/j.crm.2017.04.005, 2017.
Coulter, L.: The Limits of Imagination, in: Limits to Climate Change Adaptation, edited by: Leal Filho, W. and Nalau, J., Springer, Cham, 211–226, https://doi.org/10.1007/978-3-319-64599-5_12, 2018.
de Bruijn, K. M., Jafino, B. A., Merz, B., Doorn, N., Priest, S. J., Dahm, R. J., Zevenbergen, C., Aerts, J. C. J. H., and Comes, T.: Flood risk management through a resilience lens, Commun. Earth Environ., 3, 285, https://doi.org/10.1038/s43247-022-00613-4, 2022.
de Guttry, C. and Ratter, B.: Expiry date of a disaster: Memory anchoring and the storm surge 1962 in Hamburg, Germany, Int. J. Disast. Risk Re., 70, 102719, https://doi.org/10.1016/j.ijdrr.2021.102719, 2022.
de Vito, S. and Della Sala, S.: Predicting the future, Cortex, 47, 1018–1022, https://doi.org/10.1016/j.cortex.2011.02.020, 2011.
Dhakal, T.: Why Floods Beyond Our Imagination Hit Nepalese Himalayan Town, Global Issues, 26 September 2023, https://www.globalissues.org/news/2023/09/26/34864 (last access: 31 July 2024), 2023.
Dietze, M., Bell, R., Ozturk, U., Cook, K. L., Andermann, C., Beer, A. R., Damm, B., Lucia, A., Fauer, F. S., Nissen, K. M., Sieg, T., and Thieken, A. H.: More than heavy rain turning into fast-flowing water – a landscape perspective on the 2021 Eifel floods, Nat. Hazards Earth Syst. Sci., 22, 1845–1856, https://doi.org/10.5194/nhess-22-1845-2022, 2022.
Dobraszczyk, P.: Sunken Cities: Climate Change, Urban Futures and the Imagination of Submergence, Int. J. Urban Reg. Res., 41, 868–887, https://doi.org/10.1111/1468-2427.12510, 2017.
Fekete, A. and Sandholz, S.: Here Comes the Flood, but Not Failure? Lessons to Learn after the Heavy Rain and Pluvial Floods in Germany 2021, Water (Basel), 13, 3016, https://doi.org/10.3390/w13213016, 2021.
Felletti, S. and Paglieri, F.: Trust your peers! How trust among citizens can foster collective risk prevention, Int. J. Disast. Risk Re., 36, 101082, https://doi.org/10.1016/j.ijdrr.2019.101082, 2019.
Finn, E., Torrejon Capurro, C., Bennett, M. G., and Wylie, R.: Applied imagination, Front. Psychol., 14, 1275942, https://doi.org/10.3389/fpsyg.2023.1275942, 2023.
Fischhoff, B., Slovic, P., and Lichtenstein, S.: Lay Foibles and Expert Fables in Judgments about Risk, Am. Stat., 36, 240, https://doi.org/10.2307/2683835, 1982.
Fleming, J., Gibson, R., Anderson, M., Martin, A. J., and Sudmalis, D.: Cultivating imaginative thinking: teacher strategies used in high-performing arts education classrooms, Cam. J. Educ., 46, 435–453, https://doi.org/10.1080/0305764X.2015.1064097, 2016.
Gotlib, A.: Letting Go of Familiar Narratives as Tragic Optimism in the Era of COVID-19, Journal of Medical Humanities, 42, 81–101, https://doi.org/10.1007/s10912-021-09680-8, 2021.
He, K., Yang, Q., Shen, X., and Anagnostou, E. N.: Brief communication: Western Europe flood in 2021 – mapping agriculture flood exposure from synthetic aperture radar (SAR), Nat. Hazards Earth Syst. Sci., 22, 2921–2927, https://doi.org/10.5194/nhess-22-2921-2022, 2022.
Heidenreich, A., Masson, T., and Bamberg, S.: Let's talk about flood risk – Evaluating a series of workshops on private flood protection, Int. J. Disast. Risk Re., 50, 101880, https://doi.org/10.1016/j.ijdrr.2020.101880, 2020.
Heino, O., Heikkilä, M., and Rautiainen, P.: Caging identified threats – Exploring pitfalls of state preparedness imagination, Int. J. Disast. Risk Re., 78, 103121, https://doi.org/10.1016/j.ijdrr.2022.103121, 2022.
Higueras, Y. and Molina Villaverde, D.: Imagination, creativity, fun and innovation, Revista Científica de la Sociedad de Enfermería Neurológica, English ed., 56, 2–3, https://doi.org/10.1016/j.sedeng.2022.10.001, 2022.
Hollnagel, E. and Fujita, Y.: THE FUKUSHIMA DISASTER – SYSTEMIC FAILURES AS THE LACK OF RESILIENCE, Nucl. Eng. Technol., 45, 13–20, https://doi.org/10.5516/NET.03.2011.078, 2013.
Ibebuchi, C. C.: Patterns of atmospheric circulation in Western Europe linked to heavy rainfall in Germany: preliminary analysis into the 2021 heavy rainfall episode, Theor. Appl. Climatol., 148, 269–283, https://doi.org/10.1007/s00704-022-03945-5, 2022.
Junghänel, T., Bissolli, P., Daßler, J., Fleckenstein, R., Imbery, F., Janssen, W., Kaspar, F., Lengfeld, K., Leppelt, T., Rauthe, M., Rauthe-Schöch, A., Rocek, M., Walawender, E., and Weigl, E.: Hydro-klimatologische Einordnung der Stark- und Dauerniederschläge in Teilen Deutschlands im Zusammenhang mit dem Tiefdruckgebiet “Bernd” vom 12. bis 19. Juli 2021, 16 pp., https://www.dwd.de/DE/leistungen/besondereereignisse/niederschlag/20210721_bericht_starkniederschlaege_tief_bernd.pdf;jsessionid=BD5949F3251159FA3E76ED4BD8F63DCC.live11041?__blob=publicationFile&v=10 (last access: 31 July 2024), 2021.
Karlsson, H., Asutay, E., and Västfjäll, D.: A causal link between mental imagery and affect-laden perception of climate change related risks, Sci. Rep., 13, 10081, https://doi.org/10.1038/s41598-023-37195-w, 2023.
Kellens, W., Terpstra, T., and De Maeyer, P.: Perception and Communication of Flood Risks: A Systematic Review of Empirical Research, Risk Anal., 33, 24–49, https://doi.org/10.1111/j.1539-6924.2012.01844.x, 2013.
Kox, T., Gerhold, L., and Ulbrich, U.: Perception and use of uncertainty in severe weather warnings by emergency services in Germany, Atmos. Res., 158–159, 292–301, https://doi.org/10.1016/j.atmosres.2014.02.024, 2015.
Kreienkamp, F., Philip, S. Y., Tradowsky, J. S., Kew, S. F., Lorenz, P., Arrighi, J., Belleflamme, A., Bettmann, T., Caluwaerts, S., Chan, S. C., Ciavarella, A., De Cruz, L., de Vries, H., Demuth, N., Ferrone, A., Fischer, E. M., Fowler, H. J., Goergen, K., Heinrich, D., Henrichs, Y., Lenderink, G., Kaspar, F., Nilson, E., and L Otto, F. E.: Rapid attribution of heavy rainfall events leading to the severe flooding in Western Europe during July 2021, Royal Netherlands Meteorological Institute (KNMI), https://www.worldweatherattribution.org/wp-content/uploads/Scientific-report-Western-Europe-floods-2021-attribution.pdf (last access: 31 July 2024), 2021.
Kuehne, O., Koegst, L., Zimmer, M.-L., and Schaeffauer, G.: “… Inconceivable, Unrealistic and Inhumane”'. Internet Communication on the Flood Disaster in West Germany of July 2021 between Conspiracy Theories and Moralization – A Neopragmatic Explorative Study”, Sustainability, 13, 11427, https://doi.org/10.3390/su132011427, 2021.
Kuhlicke, C., Seebauer, S., Hudson, P., Begg, C., Bubeck, P., Dittmer, C., Grothmann, T., Heidenreich, A., Kreibich, H., Lorenz, D. F., Masson, T., Reiter, J., Thaler, T., Thieken, A. H., and Bamberg, S.: The behavioral turn in flood risk management, its assumptions and potential implications, WIREs Water, 7, e1418, https://doi.org/10.1002/wat2.1418, 2020.
Kuller, M., Schoenholzer, K., and Lienert, J.: Creating effective flood warnings: A framework from a critical review, J. Hydrol. (Amst), 602, 126708, https://doi.org/10.1016/j.jhydrol.2021.126708, 2021.
Kundzewicz, Z. W., Szamalek, K., and Kowalczak, P.: The Great Flood of 1997 in Poland, Hydrolog. Sci. J., 44, 855–870, https://doi.org/10.1080/02626669909492285, 1999.
Lehmkuhl, F., Schüttrumpf, H., Schwarzbauer, J., Brüll, C., Dietze, M., Letmathe, P., Völker, C., and Hollert, H.: Assessment of the 2021 summer flood in Central Europe, Environ. Sci. Eur., 34, 107, https://doi.org/10.1186/s12302-022-00685-1, 2022.
Lemnitzer, A., Stark, N., Anoyatis, G., Doornbos, S., Francois, S., Gardner, M., George, M., van Ginkel, K., Leunge, L., Mavritsakis, A., van Marle, M., Mueller, J., Nichols, E., Rattez, H., Schuettrumpf, H., Stamm, J., and Willems, J.: Geotechnical Reconnaissance of the 2021 Western European Floods, GEER – Geotechnical Extreme Events Reconnaissance Association, 260 pp., https://doi.org/10.18118/G6QH3D, 2021.
Lindell, M. K. and Perry, R. W.: The Protective Action Decision Model: Theoretical Modifications and Additional Evidence, Risk Anal., 32, 616–632, https://doi.org/10.1111/j.1539-6924.2011.01647.x, 2012.
Lloyd Williams, A., Bingley, A., Walker, M., Mort, M., and Howells, V.: “That's Where I First Saw the Water,” Transfers, 7, 76–93, https://doi.org/10.3167/TRANS.2017.070307, 2017.
Mehring, P., Geoghegan, H., Cloke, H. L., and Clark, J. M.: The F word: The experiential construction of flooding in England, Emot. Space Soc., 48, 100966, https://doi.org/10.1016/j.emospa.2023.100966, 2023.
Merz, B., Vorogushyn, S., Lall, U., Viglione, A., and Blöschl, G.: Charting unknown waters – On the role of surprise in flood risk assessment and management, Water Resour. Res., 51, 6399–6416, https://doi.org/10.1002/2015WR017464, 2015.
Mol, J. M., Botzen, W. J. W., and Blasch, J. E.: After the virtual flood: Risk perceptions and flood preparedness after virtual reality risk communication, Judgm. Decis. Mak., 17, 189–214, https://doi.org/10.1017/S1930297500009074, 2022.
Nalau, J. and Cobb, G.: The strengths and weaknesses of future visioning approaches for climate change adaptation: A review, Glob. Environ. Chang., 74, 102527, https://doi.org/10.1016/j.gloenvcha.2022.102527, 2022.
Nanay, B.: The Role of Imagination in Decision-Making, Mind Lang., 31, 127–143, https://doi.org/10.1111/mila.12097, 2016.
Nanay, B.: Mental Imagery, edited by: Zalta, E. N., The Stanford Encyclopedia of Philosophy, https://plato.stanford.edu/entries/mental-imagery/ (last access: 31 July 2024), 2021.
O'Neill, E., Brereton, F., Shahumyan, H., and Clinch, J. P.: The Impact of Perceived Flood Exposure on Flood-Risk Perception: The Role of Distance, Risk Anal., 36, 2158–2186, https://doi.org/10.1111/risa.12597, 2016.
Palermo, L., Boccia, M., Piccardi, L., and Nori, R.: Congenital lack and extraordinary ability in object and spatial imagery: An investigation on sub-types of aphantasia and hyperphantasia, Conscious. Cogn., 103, 103360, https://doi.org/10.1016/j.concog.2022.103360, 2022.
Parker, D. J., Priest, S. J., and Tapsell, S. M.: Understanding and enhancing the public's behavioural response to flood warning information, Meteorol. Appl., 16, 103–114, https://doi.org/10.1002/met.119, 2009.
Piper, D., Kunz, M., Ehmele, F., Mohr, S., Mühr, B., Kron, A., and Daniell, J.: Exceptional sequence of severe thunderstorms and related flash floods in May and June 2016 in Germany – Part 1: Meteorological background, Nat. Hazards Earth Syst. Sci., 16, 2835–2850, https://doi.org/10.5194/nhess-16-2835-2016, 2016.
Ponce de Leon, M. I. A. Z.: The limits of a disaster imagination: a study of two communities hit by Haiyan, J. Risk Res., 23, 1452–1466, https://doi.org/10.1080/13669877.2019.1687576, 2020.
Potter, S. H., Kreft, P. V., Milojev, P., Noble, C., Montz, B., Dhellemmes, A., Woods, R. J., and Gauden-Ing, S.: The influence of impact-based severe weather warnings on risk perceptions and intended protective actions, Int. J. Disast. Risk Re., 30, 34–43, https://doi.org/10.1016/j.ijdrr.2018.03.031, 2018.
Rana, I. A., Jamshed, A., Younas, Z. I., and Bhatti, S. S.: Characterizing flood risk perception in urban communities of Pakistan, Int. J. Disast. Risk Re., 46, 101624, https://doi.org/10.1016/j.ijdrr.2020.101624, 2020.
Sevilla, E., Jarrín, M. J., Barragán, K., Jáuregui, P., Sabag Hillen, C., Dupeyron, A., Barclay, J., Armijos Burneo, T., Cupuerán, M. I., Zapata, C., Vásquez Hahn, M. A., and Narváez Sevilla, P.: Envisioning the future by learning from the past: Arts and humanities in interdisciplinary tools for promoting a culture of risk, Int. J. Disast. Risk Re., 92, 103712, https://doi.org/10.1016/j.ijdrr.2023.103712, 2023.
Shepherd, T. G., Boyd, E., Calel, R. A., Chapman, S. C., Dessai, S., Dima-West, I. M., Fowler, H. J., James, R., Maraun, D., Martius, O., Senior, C. A., Sobel, A. H., Stainforth, D. A., Tett, S. F. B., Trenberth, K. E., van den Hurk, B. J. J. M., Watkins, N. W., Wilby, R. L., and Zenghelis, D. A.: Storylines: an alternative approach to representing uncertainty in physical aspects of climate change, Climatic Change, 151, 555–571, https://doi.org/10.1007/s10584-018-2317-9, 2018.
Skinner, C.: Flash Flood!: a SeriousGeoGames activity combining science festivals, video games, and virtual reality with research data for communicating flood risk and geomorphology, Geoscience Communication, 3, 1–17, https://doi.org/10.5194/gc-3-1-2020, 2020.
Sobkow, A., Traczyk, J., and Zaleskiewicz, T.: The Affective Bases of Risk Perception: Negative Feelings and Stress Mediate the Relationship between Mental Imagery and Risk Perception, Front. Psychol., 7, 932, https://doi.org/10.3389/fpsyg.2016.00932, 2016.
Speight, L. J., Cranston, M. D., White, C. J., and Kelly, L.: Operational and emerging capabilities for surface water flood forecasting, WIREs Water, 8, e1517, https://doi.org/10.1002/wat2.1517, 2021.
Statistisches Bundesamt: Population in Germany, https://service.destatis.de/bevoelkerungspyramide/index.html#!y=2021&v=2&l=en&g (last access: 31 July 2024), 2024.
Sunderrajan, A. and Albarracín, D.: Are actions better than inactions? Positivity, outcome, and intentionality biases in judgments of action and inaction, J. Exp. Soc. Psychol., 94, 104105, https://doi.org/10.1016/j.jesp.2021.104105, 2021.
Taylor, M.: Imagination, in: Encyclopedia of Creativity, Elsevier, 637–643, https://doi.org/10.1016/B978-0-12-375038-9.00118-7, 2011.
The News International: Flood devastation beyond imagination: Guterres, The News International, 11 September 2022, https://www.thenews.com.pk/print/990193-flood-devastation-beyond-imagination-guterres (last access: 31 July 2024), 2022.
Thieken, A. H., Bubeck, P., Heidenreich, A., von Keyserlingk, J., Dillenardt, L., and Otto, A.: Performance of the flood warning system in Germany in July 2021 – insights from affected residents, Nat. Hazards Earth Syst. Sci., 23, 973–990, https://doi.org/10.5194/nhess-23-973-2023, 2023.
United Nations: Libya: Mission chief updates Security Council on flood disaster “beyond imagination”, The United Nations Office at Geneva, 16 October 2023, https://www.ungeneva.org/en/news-media/news/2023/10/86393/libya-mission-chief-updates-security-council-flood-disaster (last access: 31 July 2024), 2023.
Walshe, R., Morin, J., Donovan, A., Vergara-Pinto, F., and Smith, C.: Contrasting memories and imaginaries of Lonquimay volcano, Chile, Int. J. Disast. Risk Re., 97, 104003, https://doi.org/10.1016/j.ijdrr.2023.104003, 2023.
Wang, C., Geng, L., and Rodríguez-Casallas, J. D.: How and when higher climate change risk perception promotes less climate change inaction, J. Clean. Prod., 321, 128952, https://doi.org/10.1016/j.jclepro.2021.128952, 2021.
WDR Doku: Die Flut – Chronik eines Versagens, https://www.youtube.com/watch?v=0vqJteCBJjc (last access: 31 July 2024), 2022.
WMO: WMO Guidelines on Multi-hazard Impact-based Forecast and Warning Services, Geneva, https://library.wmo.int/records/item/54669-wmo-guidelines-on-multi-hazard-impact-based-forecast (last access: 31 July 2024), 2015.
Yusoff, K. and Gabrys, J.: Climate change and the imagination, WIREs Climate Change, 2, 516–534, https://doi.org/10.1002/wcc.117, 2011.
Short summary
What’s the worst that could happen? Recent floods are often claimed to be beyond our imagination. Imagination is the picturing of a situation in our mind and the emotions that we connect with this situation. But why is this important for disasters? This survey found that when we cannot imagine a devastating flood, we are not preparing in advance. Severe-weather forecasts and warnings need to advance in order to trigger our imagination of what might happen and enable us to start preparing.
What’s the worst that could happen? Recent floods are often claimed to be beyond our...
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