Articles | Volume 26, issue 7
https://doi.org/10.5194/nhess-26-3559-2026
© Author(s) 2026. 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-26-3559-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jul 2026
Research article |
| 29 Jul 2026
| 29 Jul 2026
Exploring recovery complexity in the context of consecutive disasters
Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, 1081HV, the Netherlands
Inga J. Sauer
Potsdam Institute for Climate Impact Research, 14412 Potsdam, Germany
Chahan M. Kropf
Institute for Environmental Decisions, ETH Zurich, Zurich, 8092, Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, 8058, Switzerland
Samuel Juhel
Institute for Environmental Decisions, ETH Zurich, Zurich, 8092, Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, 8058, Switzerland
Zélie Stalhandske
Institute for Environmental Decisions, ETH Zurich, Zurich, 8092, Switzerland
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, 8058, Switzerland
Judith N. Claassen
Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, 1081HV, the Netherlands
Marleen C. De Ruiter
Institute for Environmental Studies, Vrije Universiteit Amsterdam, Amsterdam, 1081HV, the Netherlands
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Restoring wetlands mitigates climate change, yet fears persist that they spread mosquito-borne diseases. We mapped environmental data across Indonesia to test this. Surprisingly, we found no significant link between high conservation value and disease risk. This proves that protecting nature does not necessarily endanger public health. Our results identify safe areas for conservation, demonstrating that we can safeguard both ecosystems and human communities simultaneously.
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The occurrence of frequent floods in recent years due to changing weather, heavy rainfall, and the natural landscape, has caused major damage to lives and property. This study looks at flood risks in the Ganga Basin, focusing on the factors that cause floods, the areas affected, and the vulnerability of people. The study uses NASA's night-time lights to track human activities. This helps to show how risks are connected to expanding human activities, and changing resilience to floods.
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Impacts from extreme weather events are becoming increasingly severe under global warming, in particular when events occur simultaneously or successively. While these complex event combinations are often difficult to analyse as impact data, early warning schemes or modelling frameworks might not be fit for purpose. In this perspective we reflect on the usability of compound event research to bridge the gap between academic research and real-world applications, by formulating a set of guidelines.
Julius Schlumberger, Robert Šakić Trogrlić, Jeroen C. J. H. Aerts, Jung-Hee Hyun, Stefan Hochrainer-Stigler, Marleen de Ruiter, and Marjolijn Haasnoot
Nat. Hazards Earth Syst. Sci., 25, 4089–4113, https://doi.org/10.5194/nhess-25-4089-2025, https://doi.org/10.5194/nhess-25-4089-2025, 2025
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Kai Schröter, Pia-Johanna Schweizer, Benedikt Gräler, Lydia Cumiskey, Sukaina Bharwani, Janne Parviainen, Chahan M. Kropf, Viktor Wattin Håkansson, Martin Drews, Tracy Irvine, Clarissa Dondi, Heiko Apel, Jana Löhrlein, Stefan Hochrainer-Stigler, Stefano Bagli, Levente Huszti, Christopher Genillard, Silvia Unguendoli, Fred Hattermann, and Max Steinhausen
Nat. Hazards Earth Syst. Sci., 25, 3055–3073, https://doi.org/10.5194/nhess-25-3055-2025, https://doi.org/10.5194/nhess-25-3055-2025, 2025
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Wiebke S. Jäger, Marleen C. de Ruiter, Timothy Tiggeloven, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 25, 2751–2769, https://doi.org/10.5194/nhess-25-2751-2025, https://doi.org/10.5194/nhess-25-2751-2025, 2025
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Hunter C. Quintal, Antonia Sebastian, Marc L. Serre, Wiebke S. Jäger, and Marleen C. de Ruiter
EGUsphere, https://doi.org/10.5194/egusphere-2025-2870, https://doi.org/10.5194/egusphere-2025-2870, 2025
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Sophie Kaashoek, Žiga Malek, Nadia Bloemendaal, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 25, 1963–1974, https://doi.org/10.5194/nhess-25-1963-2025, https://doi.org/10.5194/nhess-25-1963-2025, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2024-3901, https://doi.org/10.5194/egusphere-2024-3901, 2025
Preprint archived
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The occurrence of frequent floods in recent years due to changing weather, heavy rainfall, and the natural landscape, has caused major damage to lives and property. This study looks at flood risks in the Ganga Basin, focusing on the factors that cause floods, the areas affected, and the vulnerability of people. The study uses NASA's night-time lights to track human activities. This helps to show how risks are connected to expanding human activities, and changing resilience to floods.
Julius Schlumberger, Tristian Stolte, Helena Margaret Garcia, Antonia Sebastian, Wiebke Jäger, Philip Ward, Marleen de Ruiter, Robert Šakić Trogrlić, Annegien Tijssen, and Mariana Madruga de Brito
EGUsphere, https://doi.org/10.5194/egusphere-2025-850, https://doi.org/10.5194/egusphere-2025-850, 2025
Preprint archived
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The risk flood of flood impacts is dynamic as society continuously responds to specific events or ongoing developments. We analyzed 28 studies that assess such dynamics of vulnerability. Most research uses surveys and basic statistics data, while integrated, flexible models are seldom used. The studies struggle to link specific events or developments to the observed changes. Our findings highlight needs and possible directions towards a better assessment of vulnerability dynamics.
Joshua Green, Ivan D. Haigh, Niall Quinn, Jeff Neal, Thomas Wahl, Melissa Wood, Dirk Eilander, Marleen de Ruiter, Philip Ward, and Paula Camus
Nat. Hazards Earth Syst. Sci., 25, 747–816, https://doi.org/10.5194/nhess-25-747-2025, https://doi.org/10.5194/nhess-25-747-2025, 2025
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Compound flooding, involving the combination or successive occurrence of two or more flood drivers, can amplify flood impacts in coastal/estuarine regions. This paper reviews the practices, trends, methodologies, applications, and findings of coastal compound flooding literature at regional to global scales. We explore the types of compound flood events, their mechanistic processes, and the range of terminology. Lastly, this review highlights knowledge gaps and implications for future practices.
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.
Katja Frieler, Jan Volkholz, Stefan Lange, Jacob Schewe, Matthias Mengel, María del Rocío Rivas López, Christian Otto, Christopher P. O. Reyer, Dirk Nikolaus Karger, Johanna T. Malle, Simon Treu, Christoph Menz, Julia L. Blanchard, Cheryl S. Harrison, Colleen M. Petrik, Tyler D. Eddy, Kelly Ortega-Cisneros, Camilla Novaglio, Yannick Rousseau, Reg A. Watson, Charles Stock, Xiao Liu, Ryan Heneghan, Derek Tittensor, Olivier Maury, Matthias Büchner, Thomas Vogt, Tingting Wang, Fubao Sun, Inga J. Sauer, Johannes Koch, Inne Vanderkelen, Jonas Jägermeyr, Christoph Müller, Sam Rabin, Jochen Klar, Iliusi D. Vega del Valle, Gitta Lasslop, Sarah Chadburn, Eleanor Burke, Angela Gallego-Sala, Noah Smith, Jinfeng Chang, Stijn Hantson, Chantelle Burton, Anne Gädeke, Fang Li, Simon N. Gosling, Hannes Müller Schmied, Fred Hattermann, Jida Wang, Fangfang Yao, Thomas Hickler, Rafael Marcé, Don Pierson, Wim Thiery, Daniel Mercado-Bettín, Robert Ladwig, Ana Isabel Ayala-Zamora, Matthew Forrest, and Michel Bechtold
Geosci. Model Dev., 17, 1–51, https://doi.org/10.5194/gmd-17-1-2024, https://doi.org/10.5194/gmd-17-1-2024, 2024
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Our paper provides an overview of all observational climate-related and socioeconomic forcing data used as input for the impact model evaluation and impact attribution experiments within the third round of the Inter-Sectoral Impact Model Intercomparison Project. The experiments are designed to test our understanding of observed changes in natural and human systems and to quantify to what degree these changes have already been induced by climate change.
Gregor Ortner, Michael Bründl, Chahan M. Kropf, Thomas Röösli, Yves Bühler, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 23, 2089–2110, https://doi.org/10.5194/nhess-23-2089-2023, https://doi.org/10.5194/nhess-23-2089-2023, 2023
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This paper presents a new approach to assess avalanche risk on a large scale in mountainous regions. It combines a large-scale avalanche modeling method with a state-of-the-art probabilistic risk tool. Over 40 000 individual avalanches were simulated, and a building dataset with over 13 000 single buildings was investigated. With this new method, risk hotspots can be identified and surveyed. This enables current and future risk analysis to assist decision makers in risk reduction and adaptation.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Chahan M. Kropf, Alessio Ciullo, Laura Otth, Simona Meiler, Arun Rana, Emanuel Schmid, Jamie W. McCaughey, and David N. Bresch
Geosci. Model Dev., 15, 7177–7201, https://doi.org/10.5194/gmd-15-7177-2022, https://doi.org/10.5194/gmd-15-7177-2022, 2022
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Mathematical models are approximations, and modellers need to understand and ideally quantify the arising uncertainties. Here, we describe and showcase the first, simple-to-use, uncertainty and sensitivity analysis module of the open-source and open-access climate-risk modelling platform CLIMADA. This may help to enhance transparency and intercomparison of studies among climate-risk modellers, help focus future research, and lead to better-informed decisions on climate adaptation.
Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
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The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
Lucas Wouters, Anaïs Couasnon, Marleen C. de Ruiter, Marc J. C. van den Homberg, Aklilu Teklesadik, and Hans de Moel
Nat. Hazards Earth Syst. Sci., 21, 3199–3218, https://doi.org/10.5194/nhess-21-3199-2021, https://doi.org/10.5194/nhess-21-3199-2021, 2021
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This research introduces a novel approach to estimate flood damage in Malawi by applying a machine learning model to UAV imagery. We think that the development of such a model is an essential step to enable the swift allocation of resources for recovery by humanitarian decision-makers. By comparing this method (EUR 10 140) to a conventional land-use-based approach (EUR 15 782) for a specific flood event, recommendations are made for future assessments.
Marleen Carolijn de Ruiter, Anaïs Couasnon, and Philip James Ward
Geosci. Commun., 4, 383–397, https://doi.org/10.5194/gc-4-383-2021, https://doi.org/10.5194/gc-4-383-2021, 2021
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Many countries can get hit by different hazards, such as earthquakes and floods. Generally, measures and policies are aimed at decreasing the potential damages of one particular hazard type despite their potential of having unwanted effects on other hazard types. We designed a serious game that helps professionals to improve their understanding of these potential negative effects of measures and policies that reduce the impacts of disasters across many different hazard types.
Cited articles
Acharya, P., Sharma, K., Pokharel, G. R., and Adhikari, R.: Reviewing the progress of reconstruction five years after the 2015 Gorkha earthquake, Nepal, Build. Res. Inf., 50, 595–609, https://doi.org/10.1080/09613218.2022.2043139, 2022. a
ActionAid: Building for the Future: Homes and Security in Haiti, https://actionaid.org/sites/default/files/haiti_-_building_for_the_future.pdf (last access: 3 March 2025), 2010. a
Ade Bilau, A., Witt, E., and Lill, I.: Research methodology for the development of a framework for managing post-disaster housing reconstruction, Procedia Engineer., 212, 598–605, https://doi.org/10.1016/j.proeng.2018.01.077, 2018. a, b
Alam, M. S., Kim, K., Horner, M. W., Alisan, O., Antwi, R., and Ozguven, E. E.: Large-scale modeling of hurricane flooding and disrupted infrastructure impacts on accessibility to critical facilities, J. Transp. Geogr., 116, 103852, https://doi.org/10.1016/j.jtrangeo.2024.103852, 2024. a
Ali, I. and Hamid, S.: Implications of COVID-19 and “super floods” for routine vaccination in Pakistan: The reemergence of vaccine-preventable diseases such as polio and measles, Hum. Vacc. Immunother., 18, 2154099, https://doi.org/10.1080/21645515.2022.2154099, 2022. a, b
Aljazeera: Severe weather hampers earthquake rescuers in Turkey and Syria, https://www.aljazeera.com/news/2023/2/6/severe-weather-hampers-earthquake-rescue-in-turkey-and-syria (last access: 11 March 2025), 2023. a
Alshebani, M. N. and Wedawatta, G.: Making the Construction Industry Resilient to Extreme Weather: Lessons from Construction in Hot Weather Conditions, Proc. Econ. Financ., 18, 635–642, https://doi.org/10.1016/S2212-5671(14)00985-X, 2014. a
Anguiano, D.: Flash Flood Emergency Declared in New Mexico as Heavy Rain Follows Wildfires, The Guardian, https://www.theguardian.com/us-news/article/2024/jun/20/new-mexico-wildfires-village-of-ruidoso(last access: 11 March 2025), 2024. a
Argyroudis, S. A., Mitoulis, S. A., Hofer, L., Zanini, M. A., Tubaldi, E., and Frangopol, D. M.: Resilience assessment framework for critical infrastructure in a multi-hazard environment: Case study on transport assets, Sci. Total Environ., 714, 136854, https://doi.org/10.1016/j.scitotenv.2020.136854, 2020. a
Askar, R., Rodrigues, A. L., Bragança, L., and Pinheiro, D.: From Temporary to Permanent; A Circular Approach for Post-disaster Housing Reconstruction, IOP C. Ser. Earth Env., 225, https://doi.org/10.1088/1755-1315/225/1/012032, 2019. a
Bacon, C. M., Sundstrom, W. A., Stewart, I. T., and Beezer, D.: Vulnerability to Cumulative Hazards: Coping with the Coffee Leaf Rust Outbreak, Drought, and Food Insecurity in Nicaragua, World Dev., 93, 136–152, https://doi.org/10.1016/j.worlddev.2016.12.025, 2017. a, b
Bayram, H., Rastgeldi Dogan, T., Şahin, U. A., and Akdis, C. A.: Environmental and health hazards by massive earthquakes, Allergy, 78, 2081–2084, https://doi.org/10.1111/all.15736, 2023. a
Bosher, L., Chmutina, K., and van Niekerk, D.: Stop going around in circles: towards a reconceptualisation of disaster risk management phases, Disaster Prev. Manag., 30, 525–537, https://doi.org/10.1108/DPM-03-2021-0071, 2021. a
Bren D'Amour, C., Wenz, L., Kalkuhl, M., Christoph Steckel, J., and Creutzig, F.: Teleconnected food supply shocks, Environ. Res. Lett., 11, https://doi.org/10.1088/1748-9326/11/3/035007, 2016. a
Brenna, P.: California's Homeowners Insurance Crisis: Examining Nonrenewals, Wildfire Risk, and Rurality by County, https://escholarship.org/uc/item/72189446 (last access: 24 July 2026), 2024. a
Cabas, A., Lorenzo-Velazquez, C., Abayo, N. I., Ji, C., Ramirez, J., Garcia, F. E., Pérodin, J., Hwang, Y. W., Dashti, S., Ganapati, N. E., Nicolas, S., Whitworth, M. R. Z., Guerrier, K., Fleur, N. S., Contreras, S., Lagesse, R., Marcelin, L. H., and Remington, C. L.: Intersectional Impacts of the 2021 Mw 7.2 Nippes, Haiti, Earthquake from Geotechnical and Social Perspectives, B. Seismol. Soc. Am., 113, 73–98, https://doi.org/10.1785/0120220118, 2023. a, b, c
Callender, R., Canales, J. M., Avendano, C., Craft, E., Ensor, K. B., and Miranda, M. L.: Economic and mental health impacts of multiple adverse events: Hurricane Harvey, other flooding events, and the COVID-19 pandemic, Environ. Res., 214, 114020, https://doi.org/10.1016/j.envres.2022.114020, 2022. a
Castells-Quintana, D., Lopez-Uribe, M. d. P., and McDermott, T. K. J.: Population displacement and urban conflict: Global evidence from more than 3300 flood events, J. Dev. Econ., 158, 102922, https://doi.org/10.1016/j.jdeveco.2022.102922, 2022. a
Chang-Richards, Y., Wilkinson, S., Seville, E., and Brunsdon, D.: Effects of a major disaster on skills shortages in the construction industry: Lessons learned from New Zealand, Engineering, Construction and Architectural Management, 24, 2–20, https://doi.org/10.1108/ECAM-03-2014-0044, 2017. a
Ciullo, A., Martius, O., Strobl, E., and Bresch, D. N.: A framework for building climate storylines based on downward counterfactuals: The case of the European Union Solidarity Fund, Climate Risk Management, 33, 100349, https://doi.org/10.1016/j.crm.2021.100349, 2021. a
Claassen, J. N., Ward, P. J., Daniell, J., Koks, E. E., Tiggeloven, T., and de Ruiter, M. C.: A new method to compile global multi-hazard event sets, Sci. Rep., 13, 1–14, https://doi.org/10.1038/s41598-023-40400-5, 2023. a
Clapp, J.: Concentration and crises: exploring the deep roots of vulnerability in the global industrial food system, J. Peasant Stud., 50, 1–25, https://doi.org/10.1080/03066150.2022.2129013, 2023. a
Clark, S. G., Andrews, E. J., and Lambert, A. E.: Policy Sciences and the Human Dignity Gap, vol. 60 of Natural Resource Management and Policy, Springer, https://doi.org/10.1007/978-3-031-52501-8, 2024. a
Coalson, J. E., Anderson, E. J., Santos, E. M., Garcia, V. M., Romine, J. K., Luzingu, J. K., Dominguez, B., Richard, D. M., Little, A. C., Hayden, M. H., and Ernst, K. C.: The Complex Epidemiologic Relationship between Flooding Events and Human Outbreaks of Mosquito-Borne Diseases: A Scoping Review, Environ. Health Persp., 129, 096002, https://doi.org/10.1289/EHP8887, 2021. a
Cookson, J. A., Gallagher, E. A., Mulder, P., Gropper, M., Hortacsu, A., Hossain, M., Karolyi, S., Painter, M., Sacks, D., Schmit, J., and Sydnor, J.: Coverage Neglect in Homeowners Insurance, Working Paper 25-09, Federal Reserve Bank of Philadelphia, https://www.philadelphiafed.org/-/media/frbp/assets/working-papers/2025/wp25-09.pdf (last access: 25 June 2025), 2025. a, b
De Angeli, S., Malamud, B. D., Rossi, L., Taylor, F. E., Trasforini, E., and Rudari, R.: A multi-hazard framework for spatial-temporal impact analysis, Int. J. Disast. Risk Re., 73, 102829, https://doi.org/10.1016/j.ijdrr.2022.102829, 2022. a
Deng, C., Han, M., Luo, J., and Zhang, J.: The impact of weather shocks on rural credit cooperatives, Financ. Res. Lett., 75, 106872, https://doi.org/10.1016/j.frl.2025.106872, 2025. a
Der Sarkissian, R., Cariolet, J. M., Diab, Y., and Vuillet, M.: Investigating the importance of critical infrastructures' interdependencies during recovery; lessons from Hurricane Irma in Saint-Martin's island, Int. J. Disast. Risk Re., 67, 102675, https://doi.org/10.1016/j.ijdrr.2021.102675, 2022. a
De Ruiter, M. C. and van Loon, A. F.: The challenges of dynamic vulnerability and how to assess it, IScience, 25, 104720, https://doi.org/10.1016/j.isci.2022.104720, 2022. a, b
de Ruiter, M. C., Couasnon, A., van den Homberg, M. J. C., Daniell, J. E., Gill, J. C., and Ward, P. J.: Why We Can No Longer Ignore Consecutive Disasters, Earths Future, 8, https://doi.org/10.1029/2019EF001425, 2020. a, b
Devitt, L., Neal, J., Coxon, G., Savage, J., and Wagener, T.: Flood hazard potential reveals global floodplain settlement patterns, Nat. Commun., 14, 1–11, https://doi.org/10.1038/s41467-023-38297-9, 2023. a
Di Baldassarre, G., Nohrstedt, D., Mård, J., Burchardt, S., Albin, C., Bondesson, S., Breinl, K., Deegan, F. M., Fuentes, D., Lopez, M. G., Granberg, M., Nyberg, L., Nyman, M. R., Rhodes, E., Troll, V., Young, S., Walch, C., and Parker, C. F.: An Integrative Research Framework to Unravel the Interplay of Natural Hazards and Vulnerabilities, Earths Future, 6, 305–310, https://doi.org/10.1002/2017EF000764, 2018. a
Drakes, O. and Tate, E.: Social vulnerability in a multi-hazard context: A systematic review, Environ. Res. Lett., 17, https://doi.org/10.1088/1748-9326/ac5140, 2022. a, b
Emrich, C. T., Aksha, S. K., and Zhou, Y.: Assessing distributive inequities in FEMA's disaster recovery assistance fund allocation, Int. J. Disast. Risk Re., 74, 102855, https://doi.org/10.1016/j.ijdrr.2022.102855, 2022. a
Eriksen, C., McKinnon, S., and de Vet, E.: Why insurance matters: insights from research post-disaster, Australian Journal of Emergency Management, 35, 42–47, https://knowledge.aidr.org.au/resources/ajem-october-2020-why-insurance-matters-insights-from-research-post-disaster/ (last access: 14 April 2025), 2020. a
FAO: The impact of disasters on agriculture and food security 2023, Food and Agriculture Organization of the United Nations, https://doi.org/10.4060/cc7900en, 2023. a
FEMA: National Disaster Recovery Framework, Federal Emergency Management Agency, https://www.fema.gov/emergency-managers/national-preparedness/frameworks/recovery (last access: 29 June 2026), 2024. a
Fereshtehnejad, E. and Shafieezadeh, A.: A multi-type multi-occurrence hazard lifecycle cost analysis framework for infrastructure management decision making, Eng. Struct., 167, 504–517, https://doi.org/10.1016/j.engstruct.2018.04.049, 2018. a
Ferris, E.: Planned Relocations, Disasters and Climate Change, Conference on Climate Change and Migration in the Asia-Pacific: Legal and Policy Responses, University of New South Wales, Sydney, Australia, 10–11 November 2011, https://www.brookings.edu/wp-content/uploads/2016/06/1110_relocation_disasters_cc_ferris.pdf (last access: 4 March 2025), 2011. a
Few, R., Ramírez, V., Armijos, M. T., Hernández, L. A. Z., and Marsh, H.: Moving with risk: Forced displacement and vulnerability to hazards in Colombia, World Dev., 144, 105482, https://doi.org/10.1016/j.worlddev.2021.105482, 2021. a
Finucane, M. L., Acosta, J., Wicker, A., and Whipkey, K.: Short-term solutions to a long-term challenge: Rethinking disaster recovery planning to reduce vulnerabilities and inequities, Int. J. Environ. Res. Pu., 17, https://doi.org/10.3390/ijerph17020482, 2020. a
Fischer, A. and Levy, M. A.: Designing Environmental Restoration Programs in Politically Fragile States: Lessons from Haiti, in: Strengthening Post-Conflict Security and Diplomacy, edited by: Bruch, C., Nakayama, M., and Coyle, I., Environmental Law Institute, 251–270, https://doi.org/10.13140/RG.2.1.2685.3607, 2012. a
Fox, J. M., Promkhambut, A., and Yokying, P.: Impact of COVID-19 on Rice Farmers in Southeast Asia, East-West Center, Honolulu, HI, USA, https://www.eastwestcenter.org/sites/default/files/private/ewwire052foxetal.pdf (last access: 27 July 2026), 2020. a
Garfin, D. R., Thompson, R. R., Holman, E. A., Wong-Parodi, G., and Silver, R. C.: Association between Repeated Exposure to Hurricanes and Mental Health in a Representative Sample of Florida Residents, JAMA Network Open, 5, E2217251, https://doi.org/10.1001/jamanetworkopen.2022.17251, 2022. a
Gaupp, F., Hall, J., Hochrainer-Stigler, S., and Dadson, S.: Changing risks of simultaneous global breadbasket failure, Nat. Clim. Change, 10, 54–57, https://doi.org/10.1038/s41558-019-0600-z, 2020. a, b
Gautam, D. and Dong, Y.: Multi-hazard vulnerability of structures and lifelines due to the 2015 Gorkha earthquake and 2017 central Nepal flash flood, Journal of Building Engineering, 17, 196–201, https://doi.org/10.1016/j.jobe.2018.02.016, 2018. a, b
Geng, F., Zhou, Y., Liang, Y., and Fan, F.: A longitudinal study of recurrent experience of earthquake and mental health problems among Chinese adolescents, Front. Psychol., 9, 1259, https://doi.org/10.3389/fpsyg.2018.01259, 2018. a
Gill, J. C. and Malamud, B. D.: Hazard interactions and interaction networks (cascades) within multi-hazard methodologies, Earth Syst. Dynam., 7, 659–679, https://doi.org/10.5194/esd-7-659-2016, 2016. a
Hadeed, S. J., Broadway, K. M., Schwartz-Watjen, K. T., Tigabu, B., Woodards, A. J., Swiatecka, A. L., Owens, A. N., and Wu, A.: Notional Spread of Cholera in Haiti Following a Natural Disaster: Considerations for Military and Disaster Relief Personnel, Mil. Med., 188, E2074–E2081, https://doi.org/10.1093/milmed/usac415, 2023. a
Hallegatte, S.: Economic resilience: definition and measurement, Policy Research Working Paper 6852, World Bank, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2432352 (last access: 14 March 2025), 2014. a
Hariri-Ardebili, M. A.: Living in a multi-risk chaotic condition: Pandemic, natural hazards and complex emergencies, Int. J. Environ. Res. Pu., 17, 1–16, https://doi.org/10.3390/ijerph17165635, 2020. a, b, c
Hariri-Ardebili, M. A., Sattar, S., Johnson, K., Clavin, C., Fung, J., and Ceferino, L.: A Perspective towards Multi-Hazard Resilient Systems: Natural Hazards and Pandemics, Sustainability, 14, 1–29, https://doi.org/10.3390/su14084508, 2022. a, b
Hassan, E. M. and Mahmoud, H. N.: Orchestrating performance of healthcare networks subjected to the compound events of natural disasters and pandemic, Nat. Commun., 12, 1–12, https://doi.org/10.1038/s41467-021-21581-x, 2021. a
Hendriks, T. D. and Boersma, F. K.: Bringing the state back in to humanitarian crises response: Disaster governance and challenging collaborations in the 2015 Malawi flood response, Int. J. Disast. Risk Re., 40, 101262, https://doi.org/10.1016/j.ijdrr.2019.101262, 2019. a
Hochrainer-Stigler, S.: Changes in fiscal risk against natural disasters due to Covid-19, Progress in Disaster Science, 10, 100176, https://doi.org/10.1016/j.pdisas.2021.100176, 2021. a
Hochrainer-Stigler, S., Keating, A., Velev, S., Chapagain, D., Hyun, J.-H., Laurien, F., Guimaraes, R., Clercq-Roques, R., and Mechler, R.: Assessing Community Resilience: Validating a Universally Applicable Flood Resilience Measurement Framework and Tool, Int. J. Disast. Risk Sc., 16, 891–902, https://doi.org/10.1007/s13753-025-00652-3, 2025. a
Hossain, S., Chowdhury, P. B., Biswas, R. K., and Hossain, M. A.: Malnutrition status of children under 5 years in Bangladesh: A sociodemographic assessment, Child. Youth Serv. Rev., 117, 105291, https://doi.org/10.1016/j.childyouth.2020.105291, 2020. a
Hugenbusch, D. and Neumann, T.: Enhancing efficiency in humanitarian action through reducing risk: A study on cost-benefit of disaster risk reduction, Aktion Deutschland Hilft, https://reliefweb.int/report/world/enhancing-efficiency-humanitarian-action-through-reducing-risk-study-cost-benefit (last access: 5 March 2025), 2019. a
Hunt, E., Femia, F., Werrell, C., Christian, J. I., Otkin, J. A., Basara, J., Anderson, M., White, T., Hain, C., Randall, R., and McGaughey, K.: Agricultural and food security impacts from the 2010 Russia flash drought, Weather and Climate Extremes, 34, 100383, https://doi.org/10.1016/j.wace.2021.100383, 2021. a
IDB: Estimating the Potential Economic Impact of Haiti's 2021 Earthquake, Inter-American Development Bank, https://publications.iadb.org/en/estimating-potential-economic-impact-haitis-2021-earthquake (last access: 11 March 2025), 2021. a
Ide, T., Brzoska, M., Donges, J. F., and Schleussner, C. F.: Multi-method evidence for when and how climate-related disasters contribute to armed conflict risk, Global Environ. Chang., 62, 102063, https://doi.org/10.1016/j.gloenvcha.2020.102063, 2020. a
IFRC: Mozambique: Tropical Cyclones Idai and Kenneth: Operation Update, International Federation of Red Cross and Red Crescent Societies, https://reliefweb.int/report/mozambique/mozambique-tropical-cyclones-idai-and-kenneth-emergency-appeal-n-mdrmz014-6 (last access: 4 March 2025), 2019. a
IFRC: Tonga: Red Cross Tackles Triple Disaster – COVID-19, Volcanic Fallout, Tsunami, International Federation of Red Cross and Red Crescent Societies, https://www.ifrc.org/press-release/tonga-red-cross-tackles-triple-disaster-covid-19-volcanic-fallout-tsunami (last access: 12 March 2025), 2022. a
IPCC: Climate change 2023: Synthesis Report, Intergovernmental Panel on Climate Change, https://doi.org/10.59327/IPCC/AR6-9789291691647, 2023. a, b
Izumi, T. and Shaw, R.: A multi-country comparative analysis of the impact of COVID-19 and natural hazards in India, Japan, the Philippines, and USA, Int. J. Disast. Risk Re., 73, 102899, https://doi.org/10.1016/j.ijdrr.2022.102899, 2022. a
Jäger, W. S., de Ruiter, M. C., Tiggeloven, T., and Ward, P. J.: What can we learn about multi-hazard impacts from global disaster records?, Nat. Hazards Earth Syst. Sci., 25, 2751–2769, https://doi.org/10.5194/nhess-25-2751-2025, 2025. a
Janetos, A., Justice, C., Jahn, M., Obersteiner, M., Glauber, J., and Mulhern, W.: The Risks of Multiple Breadbasket Failures in the 21st Century: A Science Research Agenda, The Frederick S. Pardee Center for the Study of the Longer-Range Future, Boston University, https://www.bu.edu/pardee/files/2017/03/Multiple-Breadbasket-Failures-Pardee-Report.pdf (last access: 27 July 2026), 2017. a
Jeddi, A. B., Shafieezadeh, A., Hur, J., Ha, J. G., Hahm, D., and Kim, M. K.: Multi-hazard typhoon and earthquake collapse fragility models for transmission towers: An active learning reliability approach using gradient boosting classifiers, Earthq. Eng. Struct. D., 51, 3552–3573, https://doi.org/10.1002/eqe.3735, 2022. a
Kanamori, H., Aso, N., Tadano, S., Saito, M., Saito, H., Uchiyama, B., Ishibashi, N., Inomata, S., Endo, S., Aoyagi, T., Hatta, M., Yamada, M., Gu, Y., Tokuda, K., Yano, H., Kunishima, H., Hirakata, Y., Saijyo, T., Kitagawa, M., and Kaku, M.: Tuberculosis exposure among evacuees at a shelter after earthquake, Japan, 2011, Emerg. Infect. Dis., 19, 799–801, https://doi.org/10.3201/eid1905.121137, 2013. a
Kappes, M. S., Keiler, M., von Elverfeldt, K., and Glade, T.: Challenges of analyzing multi-hazard risk: A review, Nat. Hazards, 64, 1925–1958, https://doi.org/10.1007/s11069-012-0294-2, 2012. a
Keya, T. A., Leela, A., Habib, N., Rashid, M., and Bakthavatchalam, P.: Mental Health Disorders Due to Disaster Exposure: A Systematic Review and Meta-Analysis, Cureus, 15, https://doi.org/10.7759/cureus.37031, 2023. a
Kim, K. N. and Choi, J. h.: Breaking the vicious cycle of flood disasters: Goals of project management in post-disaster rebuild projects, Int. J. Proj. Manag., 31, 147–160, https://doi.org/10.1016/j.ijproman.2012.03.001, 2013. a
Klose, A. K., Wunderling, N., Winkelmann, R., and Donges, J. F.: What do we mean, “tipping cascade”?, Environ. Res. Lett., 16, 124011, https://doi.org/10.1088/1748-9326/ac3955, 2021. a
Koks, E. E., van Ginkel, K. C. H., van Marle, M. J. E., and Lemnitzer, A.: Brief communication: Critical infrastructure impacts of the 2021 mid-July western European flood event, Nat. Hazards Earth Syst. Sci., 22, 3831–3838, https://doi.org/10.5194/nhess-22-3831-2022, 2022. a
Kornhuber, K., Lesk, C., Schleussner, C. F., Jägermeyr, J., Pfleiderer, P., and Horton, R. M.: Risks of synchronized low yields are underestimated in climate and crop model projections, Nat. Commun., 14, 1–10, https://doi.org/10.1038/s41467-023-38906-7, 2023. a
Korswagen, P. A., Jonkman, S. N., and Terwel, K. C.: Probabilistic assessment of structural damage from coupled multi-hazards, Struct. Saf., 76, 135–148, https://doi.org/10.1016/j.strusafe.2018.08.001, 2019. a
Kousky, C.: The Role of Natural Disaster Insurance in Recovery and Risk Reduction, Annu. Rev. Resour. Econ., 11, 399–418, https://doi.org/10.1146/annurev-resource-100518-094028, 2019. a, b, c
Kreibich, H., Van Loon, A. F., Schröter, K., Ward, P. J., Mazzoleni, M., Sairam, N., Abeshu, G. W., Agafonova, S., AghaKouchak, A., Aksoy, H., Alvarez-Garreton, C., Aznar, B., Balkhi, L., Barendrecht, M. H., Biancamaria, S., Bos-Burgering, L., Bradley, C., Budiyono, Y., Buytaert, W., Capewell, L., Carlson, H., Cavus, Y., Couasnon, A., Coxon, G., Daliakopoulos, I., de Ruiter, M. C., Delus, C., Erfurt, M., Esposito, G., François, D., Frappart, F., Freer, J., Frolova, N., Gain, A. K., Grillakis, M., Grima, J. O., Guzmán, D. A., Huning, L. S., Ionita, M., Kharlamov, M., Khoi, D. N., Kieboom, N., Kireeva, M., Koutroulis, A., Lavado-Casimiro, W., Li, H.-Y., Llasat, M. C., Macdonald, D., Mård, J., Mathew-Richards, H., McKenzie, A., Mejia, A., Mendiondo, E. M., Mens, M., Mobini, S., Mohor, G. S., Nagavciuc, V., Ngo-Duc, T., Nguyen Huynh, T. T., Nhi, P. T. T., Petrucci, O., Nguyen, H. Q., Quintana-Seguí, P., Razavi, S., Ridolfi, E., Riegel, J., Sadik, M. S., Savelli, E., Sazonov, A., Sharma, S., Sörensen, J., Souza, F. A. A., Stahl, K., Steinhausen, M., Stoelzle, M., Szalińska, W., Tang, Q., Tian, F., Tokarczyk, T., Tovar, C., Tran, T. V. T., Van Huijgevoort, M. H. J., van Vliet, M. T. H., Vorogushyn, S., Wagener, T., Wang, Y., Wendt, D. E., Wickham, E., Yang, L., Zambrano-Bigiarini, M., Blöschl, G., and Di Baldassarre, G.: The challenge of unprecedented floods and droughts in risk management, Nature, 608, 80–86, https://doi.org/10.1038/s41586-022-04917-5, 2022. a, b
Kuhla, K., Willner, S. N., Otto, C., Geiger, T., and Levermann, A.: Ripple resonance amplifies economic welfare loss from weather extremes, Environ. Res. Lett., 16, https://doi.org/10.1088/1748-9326/ac2932, 2021. a
Lee, R., White, C. J., Adnan, M. S. G., Douglas, J., Mahecha, M. D., O'Loughlin, F. E., Patelli, E., Ramos, A. M., Roberts, M. J., Martius, O., Tubaldi, E., van den Hurk, B., Ward, P. J., and Zscheischler, J.: Reclassifying historical disasters: From single to multi-hazards, Sci. Total Environ., 912, 169120, https://doi.org/10.1016/j.scitotenv.2023.169120, 2024. a
Lequechane, J. D., Mahumane, A., Chale, F., Nhabomba, C., Salomão, C., Lameira, C., Chicumbe, S., and Semá Baltazar, C.: Mozambique's response to cyclone Idai: How collaboration and surveillance with water, sanitation and hygiene (WASH) interventions were used to control a cholera epidemic, Infect. Dis. Poverty, 9, 4–7, https://doi.org/10.1186/s40249-020-00692-5, 2020. a
Liu, T., Chen, D., Yang, L., Meng, J., Wang, Z., Ludescher, J., Fan, J., Yang, S., Chen, D., Kurths, J., Chen, X., Havlin, S., and Schellnhuber, H. J.: Teleconnections among tipping elements in the Earth system, Nat. Clim. Change, 13, 67–74, https://doi.org/10.1038/s41558-022-01558-4, 2023. a
Maclean, J. C., Popovici, I., and French, M. T.: Are natural disasters in early childhood associated with mental health and substance use disorders as an adult?, Soc. Sci. Med., 151, 78–91, https://doi.org/10.1016/j.socscimed.2016.01.006, 2016. a
Mahalingam, A., Coburn, A., Jung, C. J., Yeo, J. Z., Cooper, G., and Evan, T.: Impacts of Severe Natural Catastrophes on Financial Markets, Cambridge Centre for Risk Studies, University of Cambridge Judge Business School, https://www.jbs.cam.ac.uk/wp-content/uploads/2020/08/crs-impacts-of-severe-natural-catastrophes-on-financial-markets.pdf (last access: 3 March 2025), 2018. a
Marzocchi, W., Garcia-Aristizabal, A., Gasparini, P., Mastellone, M. L., and Ruocco, A. D.: Basic principles of multi-risk assessment: A case study in Italy, Nat. Hazards, 62, 551–573, https://doi.org/10.1007/s11069-012-0092-x, 2012. a
Matanó, A., de Ruiter, M. C., Koehler, J., Ward, P. J., and van Loon, A. F.: Caught between Extremes: Understanding Human-Water Interactions during Drought-to-Flood Events in the Horn of Africa, Earths Future, 10, 1–20, https://doi.org/10.1029/2022EF002747, 2022. a, b, c
Mavrouli, M., Mavroulis, S., Lekkas, E., and Tsakris, A.: An Emerging Health Crisis in Turkey and Syria after the Earthquake Disaster on 6 February 2023: Risk Factors, Prevention and Management of Infectious Diseases, Healthcare (Switzerland), 11, https://doi.org/10.3390/healthcare11071022, 2023. a, b
Merdjanoff, A. A., Abramson, D. M., Park, Y. S., and Piltch-Loeb, R.: Disasters, Displacement, and Housing Instability: Estimating Time to Stable Housing 13 Years after Hurricane Katrina, Weather Clim. Soc., 14, 535–550, https://doi.org/10.1175/WCAS-D-21-0057.1, 2022. a
Miao, Q., Chen, C., Lu, Y., and Abrigo, M.: Natural Disasters and Financial Implications for Subnational Governments: Evidence from China, Public Financ. Rev., 48, 72–101, https://doi.org/10.1177/1091142119884710, 2019. a
Middelanis, R., Willner, S. N., Otto, C., Kuhla, K., Quante, L., and Levermann, A.: Wave-like global economic ripple response to Hurricane Sandy, Environ. Res. Lett., 16, https://doi.org/10.1088/1748-9326/ac39c0, 2021. a
Middelanis, R., Willner, S. N., Kuhla, K., Quante, L., Otto, C., and Levermann, A.: Stressed economies respond more strongly to climate extremes, Environ. Res. Lett., 18, https://doi.org/10.1088/1748-9326/acec5e, 2023. a, b, c
Milkoreit, M., Hodbod, J., Baggio, J., Benessaiah, K., Calderón-Contreras, R., Donges, J. F., Mathias, J. D., Rocha, J. C., Schoon, M., and Werners, S. E.: Defining tipping points for social-ecological systems scholarship - An interdisciplinary literature review, Environ. Res. Lett., 13, https://doi.org/10.1088/1748-9326/aaaa75, 2018. a
Mitchell, A., Maheen, H., and Bowen, K.: Mental health impacts from repeated climate disasters: an australian longitudinal analysis, The Lancet Regional Health – Western Pacific, 47, 101087, https://doi.org/10.1016/j.lanwpc.2024.101087, 2024. a
Moftakhari, H. R., AghaKouchak, A., Sanders, B. F., Allaire, M., and Matthew, R. A.: What Is Nuisance Flooding? Defining and Monitoring an Emerging Challenge, Water Resour. Res., 54, 4218–4227, https://doi.org/10.1029/2018WR022828, 2018. a
Mohammadi, S., De Angeli, S., Boni, G., Pirlone, F., and Cattari, S.: Review article: Current approaches and critical issues in multi-risk recovery planning of urban areas exposed to natural hazards, Nat. Hazards Earth Syst. Sci., 24, 79–107, https://doi.org/10.5194/nhess-24-79-2024, 2024. a, b
Mühlhofer, E., Koks, E. E., Kropf, C. M., Sansavini, G., and Bresch, D. N.: A generalized natural hazard risk modelling framework for infrastructure failure cascades, Reliab. Eng. Syst. Safe., 234, 109194, https://doi.org/10.1016/j.ress.2023.109194, 2023. a
Neupane, B. R. and Mishra, A. K.: Impact of COVID-19 on Labor Management: A Case of Reconstruction Works at Bharatpur Metropolitan City, Nepal, East African Scholars Journal of Economics, Business and Management, 3, 789–794, https://doi.org/10.36349/easjebm.2020.v03i10.004, 2020. a
Newman, P., Birrell, B., Holmes, D., Mathers, C., Newton, P., Oakley, G., O'Connor, A., Walker, B., Spessa, A., and Tait, D.: Human Settlements, in: Australia: State of the Environment 1996, edited by: Taylor, R., CSIRO Publishing, Collingwood, VIC, 1–57, ISBN 0-643-05830-3, https://www.ipcc.ch/apps/njlite/srex/njlite_download.php?id=6462 (last access: 3 March 2025), 1996. a
NOAA National Centers for Environmental Information: Tropical Cyclones Report Annual 2017, https://www.ncei.noaa.gov/access/monitoring/monthly-report/tropical-cyclones/201713 (last access: 4 March 2025), 2025. a
Norton, R., Jacobson, B. R., Venkateswaran, K., MacClune, K., and Hillier, D.: Towards Transformative Action: The Unfulfilled Promise of Resilient Recovery, Zurich Climate Resilience Alliance, https://zcralliance.org/resources/item/towards-transformative-action-the-unfulfilled-promise-of-resilient-recovery/ (last access: 9 January 2025), 2023. a
Nowell, B., Bodkin, C. P., and Bayoumi, D.: Redundancy as a strategy in disaster response systems: A pathway to resilience or a recipe for disaster?, J. Conting. Crisis Man., 25, 123–135, https://doi.org/10.1111/1468-5973.12178, 2017. a
OCHA: Haiti: Earthquake Situation Report No. 5, https://reliefweb.int/report/haiti/haiti-earthquake-situation-report-no-5-14-september-2021 (last access: 4 March 2025), 2021a. a
OCHA: Haiti: Earthquake Situation Report No. 6, https://reliefweb.int/report/haiti/haiti-earthquake-situation-report-no-6-23-september-2021 (last access: 11 March 2025), 2021b. a
Olshansky, R. B.: Recovery After Disasters: How Adaptation to Climate Change Will Occur, in: Climate Change and Its Impacts: Risks and Inequalities, Springer Cham, 195–207, https://doi.org/10.1007/978-3-319-77544-9_12, 2018. a
Orak, Y.: Earthquake in Türkiye: Impact on Health Services and Infection Threats, Journal of Clinical Practice and Research, 45, 549–557, https://doi.org/10.14744/cpr.2023.59244, 2024. a
Otto, C., Kuhla, K., Geiger, T., Schewe, J., and Frieler, K.: Better insurance could effectively mitigate the increase in economic growth losses from U.S. hurricanes under global warming, Sci. Adv., 9, https://doi.org/10.1126/sciadv.add6616, 2023. a
Otto, I. M., Reckien, D., Reyer, C. P. O., Marcus, R., Le Masson, V., Jones, L., Norton, A., and Serdeczny, O.: Social vulnerability to climate change: a review of concepts and evidence, Reg. Environ. Change, 17, 1651–1662, https://doi.org/10.1007/s10113-017-1105-9, 2017. a
Pastor-Sanz, I., Tascón, M. T., Castro, P., and Amor-Tapia, B.: Impact of Physical Climate Risks on Agricultural Firms' Bankruptcy: Evidence from France, Italy, Portugal and Spain from 2016 to 2019, Int. Food Agribus. Man., https://doi.org/10.22434/IFAMR1170, 2025. a
Puri, A., Elkharboutly, M., and Ali, N. A.: Identifying major challenges in managing post-disaster reconstruction projects: A critical analysis, Int. J. Disast. Risk Re., 107, 104491, https://doi.org/10.1016/j.ijdrr.2024.104491, 2024. a, b, c
Quigley, M. C., Attanayake, J., King, A., and Prideaux, F.: A multi-hazards earth science perspective on the COVID-19 pandemic: the potential for concurrent and cascading crises, Environment Systems and Decisions, 40, 199–215, https://doi.org/10.1007/s10669-020-09772-1, 2020. a
Ratto, J., Ivy, W., Purfield, A., Bangura, J., Omoko, A., Boateng, I., Duffy, N., Sims, G., Beamer, B., Pi-Sunyer, T., Kamara, S., Conteh, S., and Redd, J.: Notes from the Field: Ebola Virus Disease Response Activities During a Mass Displacement Event After Flooding — Freetown, Sierra Leone, September–November, 2015, MMWR, Morbidity and Mortality Weekly Report, 65, 188–189, https://doi.org/10.15585/mmwr.mm6507a4, 2016. a
Ridder, N. N., Pitman, A. J., Westra, S., Ukkola, A., Hong, X. D., Bador, M., Hirsch, A. L., Evans, J. P., Di Luca, A., and Zscheischler, J.: Global hotspots for the occurrence of compound events, Nat. Commun., 11, 1–10, https://doi.org/10.1038/s41467-020-19639-3, 2020. a
Rocha, I. C. N., Dos Santos Costa, A. C., Islam, Z., Jain, S., Goyal, S., Mohanan, P., Essar, M. Y., and Ahmad, S.: Typhoons During the COVID-19 Pandemic in the Philippines: Impact of a Double Crises on Mental Health, Disaster Med. Public, 16, 2275–2278, https://doi.org/10.1017/dmp.2021.140, 2022. a
Rosvold, E. L.: Disaster resilience in conflict-affected areas: a review of how armed conflicts impact disaster resilience, Curr. Opin. Env. Sust., 65, 101381, https://doi.org/10.1016/j.cosust.2023.101381, 2023. a, b
Salam, A., Wireko, A. A., Jiffry, R., Ng, J. C., Patel, H., Zahid, M. J., Mehta, A., Huang, H., Abdul-Rahman, T., and Isik, A.: The impact of natural disasters on healthcare and surgical services in low- and middle-income countries, Annals of Medicine & Surgery, 85, 3774–3777, https://doi.org/10.1097/ms9.0000000000001041, 2023. a
Sargeant, S., Finlayson, A., Dijkstra, T., Flinn, B., Schofield, H., Morel, L. M., Twigg, J., Lovell, E., Stephenson, V., and Adhikari, B. R.: The influence of the physical environment on self-recovery after disasters in Nepal and the Philippines, Int. J. Disast. Risk Re., 50, 101673, https://doi.org/10.1016/j.ijdrr.2020.101673, 2020. a, b, c, d, e
Sastry, P., Sen, I., and Tenekedjieva, A.-M.: When Insurers Exit: Climate Losses, Fragile Insurers, and Mortgage Markets, SSRN Electronic Journal [preprint], https://doi.org/10.2139/ssrn.4674279, 2024. a
Sauer, I. J., Walsh, B., Frieler, K., Bresch, D. N., and Otto, C.: Understanding the distributional effects of recurrent floods in the Philippines, ISCIENCE, 28, 111733, https://doi.org/10.1016/j.isci.2024.111733, 2025. a, b
Save the Children: Fear, Distress and Grief: Türkiye and Syria Earthquakes May Fuel Severe Mental Health Needs in the Region, Save the Children, https://www.savethechildren.org/us/about-us/media-and-news/2023-press-releases/turkey-syria-earthquakes-may-fuel-severe-mental-health-needs (last access: 12 March 2025), 2023. a
Skertich, R. L., Johnson, D. E. A., and Comfort, L. K.: A Bad Time for Disaster: Economic Stress and Disaster Resilience, Administration and Society, 45, 145–166, https://doi.org/10.1177/0095399712451884, 2012. a
Sospeter, N. G., Rwelamila, P. D., and Gimbi, J.: Critical success factors for managing post-disaster reconstruction projects: The case of Angola, Construction Economics and Building, 20, 37–55, https://doi.org/10.5130/AJCEB.v20i3.7298, 2020. a, b
Spaiser, V., Juhola, S., Constantino, S. M., Guo, W., Watson, T., Sillmann, J., Craparo, A., Basel, A., Bruun, J. T., Krishnamurthy, K., Scheffran, J., Pinho, P., Okpara, U. T., Donges, J. F., Bhowmik, A., Yasseri, T., Safra de Campos, R., Cumming, G. S., Chenet, H., Krampe, F., Abrams, J. F., Dyke, J. G., Rynders, S., Aksenov, Y., and Spears, B. M.: Negative social tipping dynamics resulting from and reinforcing Earth system destabilization, Earth Syst. Dynam., 15, 1179–1206, https://doi.org/10.5194/esd-15-1179-2024, 2024. a, b, c, d
Stalhandske, Z., Steinmann, C. B., Meiler, S., Sauer, I. J., Vogt, T., Bresch, D. N., and Kropf, C. M.: Global multi-hazard risk assessment in a changing climate, Sci. Rep., 14, 1–14, https://doi.org/10.1038/s41598-024-55775-2, 2024. a
Suppasri, A., Kitamura, M., Alexander, D., Seto, S., and Imamura, F.: The 2024 Noto Peninsula earthquake: Preliminary observations and lessons to be learned, Int. J. Disast. Risk Re., 110, 104611, https://doi.org/10.1016/j.ijdrr.2024.104611, 2024. a
Tellman, B., Sullivan, J. A., Kuhn, C., Kettner, A. J., Doyle, C. S., Brakenridge, G. R., Erickson, T. A., and Slayback, D. A.: Satellite imaging reveals increased proportion of population exposed to floods, Nature, 596, 80–86, https://doi.org/10.1038/s41586-021-03695-w, 2021. a
Thalheimer, L., Webersik, C., and Gaupp, F.: Systemic Risks Emerging from Compound Vulnerabilities, United Nations Office for Disaster Risk Reduction, https://www.undrr.org/publication/systemic-risks-emerging-compound-vulnerabilities (last access: 29 June 2026), 2022. a
Thorn, J. P. R., Nangolo, P., Biancardi, R. A., Shackleton, S., Marchant, R. A., Ajala, O., Delgado, G., Mfune, J. K. E., Cinderby, S., and Hejnowicz, A. P.: Exploring the benefits and dis-benefits of climate migration as an adaptive strategy along the rural-peri-urban continuum in Namibia, Reg. Environ. Change, 23, https://doi.org/10.1007/s10113-022-01973-5, 2023. a
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. a
Townend, R., Aylett, C., and Benzie, M.: Cascading Climate Risks: Strategic Recommendations for European Resilience, CASCADES Project, https://www.cascades.eu/publication/cascading-climate-risks-strategic-recommendations-for-european-resilience/ (last access: 29 February 2025), 2023. a
Twigg, J., Lovell, E., Schofield, H., Morel, L. M., Flinn, B., Sargeant, S., Finlayson, A., Dijkstra, T., Stephenson, V., Albuerne, A., Rossetto, T., and D'Ayala, D.: Shaping policy for development: Self-recovery from disasters: An interdisciplinary perspective, Working Paper 523, Overseas Development Institute, https://www.odi.org/publications/10963-self-recovery-disasters-interdisciplinary-perspective (last access: 20 June 2026), 2017. a, b
UNDRR: Report of the Open-Ended Intergovernmental Expert Working Group on Indicators and Terminology Relating to Disaster Risk Reduction, United Nations Office for Disaster Risk Reduction, https://www.undrr.org/publication/report-open-ended-intergovernmental-expert-working-group-indicators-and-terminology (last access: 3 March 2025), 2016. a, b
UNDRR: Hazard Information Profiles: Supplement to UNDRR-ISC Hazard Definition and Classification Review: Technical Report, United Nations Office for Disaster Risk Reduction, https://doi.org/10.24948/2021.05, 2021. a, b, c, d
UNDRR: Global Assessment Report on Disaster Risk Reduction 2022: Our World at Risk: Transforming Governance for a Resilient Future, United Nations Office for Disaster Risk Reduction, https://www.undrr.org/gar2022 (last access: 27 July 2026), 2022. a
UNDRR: Global Assessment Report 2024: Forensic Insights for Future Resilience: Learning from Past Disasters, United Nations Office for Disaster Risk Reduction, https://www.undrr.org/gar/gar2024-special-report (last access: 22 January 2025), 2024. a
UNICEF: Mozambique Humanitarian Situation Report, United Nations Children's Fund, https://reliefweb.int/report/mozambique/unicef-mozambique-cyclones-idai-and-kenneth-situation-report-12-march-july-2019 (last access: 22 January 2025), 2019. a, b
Urlainis, A., Ornai, D., Levy, R., Vilnay, O., and Shohet, I. M.: Loss and damage assessment in critical infrastructures due to extreme events, Safety Sci., 147, 105587, https://doi.org/10.1016/j.ssci.2021.105587, 2022. a, b
Ward, P. J., Buijs, S. L., Ciurean, R., Claassen, J. N., Daniell, J., De Polt, K., Duncan, M., Gottardo, S., Hochrainer-Stigler, S., Šakić Trogrlić, R., Schlumberger, J., Tiggeloven, T., Torresan, S., van Maanen, N., Warren, A., Álvarez-Albelo, C. D., Banks, V., Blanz, B., Casartelli, V., Correa, J., Crummy, J., Daloz, A. S., de Ruiter, M. C., Díaz-Hernández, J. J., Díaz-Pacheco, J., Dorta Antequera, P., Ferrario, D., Geurts, D., García-González, S., Gill, J. C., Hernández-Martín, R., Jäger, W. S., López-Díez, A., Ma, L., Mysiak, J., Ngoc Nguyen, D., Padrón Fumero, N., Petrescu, E.-C., Reiter, K., Sillmann, J., Smale, L., and Stolte, T.: Reducing risk together: moving towards a more holistic approach to multi-hazard and multi-risk assessment and management, Nat. Hazards Earth Syst. Sci., 26, 1325–1345, https://doi.org/10.5194/nhess-26-1325-2026, 2026. a
Wiederkehr, C., Beckmann, M., and Hermans, K.: Environmental change, adaptation strategies and the relevance of migration in Sub-Saharan drylands, Environ. Res. Lett., 13, https://doi.org/10.1088/1748-9326/aae6de, 2018. a
Winkelmann, R., Donges, J. F., Smith, E. K., Milkoreit, M., Eder, C., Heitzig, J., Katsanidou, A., Wiedermann, M., Wunderling, N., and Lenton, T. M.: Social tipping processes towards climate action: A conceptual framework, Ecol. Econ., 192, https://doi.org/10.1016/j.ecolecon.2021.107242, 2022. a, b, c
Xi, D., Lin, N., and Gori, A.: Increasing sequential tropical cyclone hazards along the US East and Gulf coasts, Nat. Clim. Change, 13, 258–265, https://doi.org/10.1038/s41558-023-01595-7, 2023. a
Zenker, M.-L., Bubeck, P., and Thieken, A. H.: Always on my mind: indications of post-traumatic stress disorder among those affected by the 2021 flood event in the Ahr valley, Germany, Nat. Hazards Earth Syst. Sci., 24, 2837–2856, https://doi.org/10.5194/nhess-24-2837-2024, 2024. a
Zobel, C. W. and Khansa, L.: Characterizing multi-event disaster resilience, Comput. Oper. Res., 42, 83–94, https://doi.org/10.1016/j.cor.2011.09.024, 2014. a
Short summary
We explored how disasters that occur before recovery from earlier events is complete can complicate recovery, using examples from science and the real world across different societal domains. We then reflect on why recovery under repeated disasters is more complex than simply returning to normal, and how the way we define recovery and the system we study shapes our understanding. These insights can help us better understand, study, and manage recovery from disasters.
We explored how disasters that occur before recovery from earlier events is complete can...
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