Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-461-2022
© Author(s) 2022. 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-22-461-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
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16 Feb 2022
Research article | Highlight paper |
| 16 Feb 2022
| 16 Feb 2022
Flash flood warnings in context: combining local knowledge and large-scale hydro-meteorological patterns
Agathe Bucherie
CORRESPONDING AUTHOR
International Research Institute for Climate and Society (IRI), Columbia University, New York, New York 10964, USA
IHE Delft Institute for Water Education, Delft, 2611 AX, the Netherlands
510, the Netherlands Red Cross, the Hague, 2593 HT, the Netherlands
Micha Werner
IHE Delft Institute for Water Education, Delft, 2611 AX, the Netherlands
Marc van den Homberg
510, the Netherlands Red Cross, the Hague, 2593 HT, the Netherlands
Simon Tembo
Malawi Red Cross Society, Lilongwe, 30096, Malawi
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Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
Nat. Hazards Earth Syst. Sci., 24, 309–329, https://doi.org/10.5194/nhess-24-309-2024, https://doi.org/10.5194/nhess-24-309-2024, 2024
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We improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid, using only features which are globally available. We show that our two-stage model conserves the performance of the original and even has the potential to introduce savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
Marleen R. Lam, Alessia Matanó, Anne F. Van Loon, Rhoda A. Odongo, Aklilu D. Teklesadik, Charles N. Wamucii, Marc J. C. van den Homberg, Shamton Waruru, and Adriaan J. Teuling
Nat. Hazards Earth Syst. Sci., 23, 2915–2936, https://doi.org/10.5194/nhess-23-2915-2023, https://doi.org/10.5194/nhess-23-2915-2023, 2023
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There is still no full understanding of the relation between drought impacts and drought indices in the Horn of Africa where water scarcity and arid regions are also present. This study assesses their relation in Kenya. A random forest model reveals that each region, aggregated by aridity, has its own set of predictors for every impact category. Water scarcity was not found to be related to aridity. Understanding these relations contributes to the development of drought early warning systems.
Silvana Bolaños Chavarría, Micha Werner, Juan Fernando Salazar, and Teresita Betancur Vargas
Hydrol. Earth Syst. Sci., 26, 4323–4344, https://doi.org/10.5194/hess-26-4323-2022, https://doi.org/10.5194/hess-26-4323-2022, 2022
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Using total water storage (TWS) from GRACE satellites, we assess the reliability of global hydrological and land surface models over a medium-sized tropical basin with a well-developed gauging network. We find the models poorly represent TWS for the monthly series, but they improve in representing seasonality and long-term trends. We conclude that GRACE provides a valuable dataset to benchmark global simulations of TWS change, offering a useful tool to improve global models in tropical basins.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
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Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
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.
Alexander Kaune, Faysal Chowdhury, Micha Werner, and James Bennett
Hydrol. Earth Syst. Sci., 24, 3851–3870, https://doi.org/10.5194/hess-24-3851-2020, https://doi.org/10.5194/hess-24-3851-2020, 2020
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This paper was developed from PhD research focused on assessing the value of using hydrological datasets in water resource management. Previous studies have assessed how well data can help in predicting river flows, but there is a lack of knowledge of how well data can help in water allocation decisions. In our research, it was found that using seasonal streamflow forecasts improves the available water estimates, resulting in better water allocation decisions in a highly regulated basin.
S. Boeke, M. J. C. van den Homberg, A. Teklesadik, J. L. D. Fabila, D. Riquet, and M. Alimardani
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W19, 63–70, https://doi.org/10.5194/isprs-archives-XLII-4-W19-63-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W19-63-2019, 2019
Alexander Kaune, Micha Werner, Patricia López López, Erasmo Rodríguez, Poolad Karimi, and Charlotte de Fraiture
Hydrol. Earth Syst. Sci., 23, 2351–2368, https://doi.org/10.5194/hess-23-2351-2019, https://doi.org/10.5194/hess-23-2351-2019, 2019
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The value of using longer periods of record of river discharge information from global precipitation datasets is assessed for irrigation area planning. Results show that for all river discharge simulations the benefit of choosing the irrigated area based on the 30 years of simulated data is higher compared to using only 5 years of observed discharge data. Hence, irrigated areas can be better planned using 30 years of river discharge information from global precipitation datasets.
Clara Linés, Ana Iglesias, Luis Garrote, Vicente Sotés, and Micha Werner
Hydrol. Earth Syst. Sci., 22, 5901–5917, https://doi.org/10.5194/hess-22-5901-2018, https://doi.org/10.5194/hess-22-5901-2018, 2018
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In this paper we follow a user-based approach to examine operational drought management decisions and how the role of information on them can be assessed. The approach combines a stakeholder consultation and a decision model representing the interrelated decisions of the irrigation association and farmers. The decision model was extended to include information on snow cover from satellite. This contributed to better decisions in the simulation and ultimately higher benefits for the farmers.
Gaby J. Gründemann, Micha Werner, and Ted I. E. Veldkamp
Hydrol. Earth Syst. Sci., 22, 4667–4683, https://doi.org/10.5194/hess-22-4667-2018, https://doi.org/10.5194/hess-22-4667-2018, 2018
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Flooding in vulnerable and data-sparse regions such as the Limpopo basin in Southern Africa is a key concern. Data available to local flood managers are often limited, inconsistent or asymmetrically distributed. We demonstrate that freely available global datasets are well suited to provide essential information. Despite the poor performance of simulated discharges, these datasets hold potential in identifying damaging flood events, particularly for higher-resolution datasets and larger basins.
María Carolina Rogelis and Micha Werner
Hydrol. Earth Syst. Sci., 22, 853–870, https://doi.org/10.5194/hess-22-853-2018, https://doi.org/10.5194/hess-22-853-2018, 2018
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Numerical weather prediction (NWP) models are fundamental for flood early warning, particularly in tropical mountainous watersheds. This paper aims to assess the potential of NWP for flood early warning purposes, and the possible improvement that the post-processing of forecasts can provide, in a tropical mountainous area. The results show the potential of NWP but also the need for more detailed evaluation of the meteorological model in the study area.
Clara Linés, Micha Werner, and Wim Bastiaanssen
Hydrol. Earth Syst. Sci., 21, 4747–4765, https://doi.org/10.5194/hess-21-4747-2017, https://doi.org/10.5194/hess-21-4747-2017, 2017
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This paper aims at identifying Earth observation data sets that can help river basin managers detect drought conditions that may lead to impacts early enough to take mitigation actions. Six remote sensing products were assessed using two types of impact data as a benchmark: media records from a regional newspaper and crop yields. Precipitation, vegetation condition and evapotranspiration products showed the best results, offering early signs of impacts up to 6 months before the reported damages.
María Carolina Rogelis, Micha Werner, Nelson Obregón, and Nigel Wright
Nat. Hazards Earth Syst. Sci., 16, 833–853, https://doi.org/10.5194/nhess-16-833-2016, https://doi.org/10.5194/nhess-16-833-2016, 2016
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A method to identify mountainous watersheds with the highest flood risk at the regional level is proposed and applied in Bogotá (Colombia). Vulnerability at the regional level was assessed and combined with an existing flood susceptibility indicator, thus providing an index that allows the watersheds to be prioritised. Results show that vulnerability can be expressed in terms of four constituent indicators and a sensitivity analysis shows that the classification of vulnerability is robust.
María Carolina Rogelis, Micha Werner, Nelson Obregón, and Nigel Wright
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-30, https://doi.org/10.5194/hess-2016-30, 2016
Manuscript not accepted for further review
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A distributed model (TETIS), a semi-distributed model (TOPMODEL) and a lumped model (HEC HMS soil moisture accounting) were used to simulate the discharge response of a tropical high mountain basin. Performance analysis and diagnostics were carried out in order to identify the most appropriate model for the study area for flood early warning. The results show that TOPMODEL is the most realistic model of the three tested.
P. Trambauer, M. Werner, H. C. Winsemius, S. Maskey, E. Dutra, and S. Uhlenbrook
Hydrol. Earth Syst. Sci., 19, 1695–1711, https://doi.org/10.5194/hess-19-1695-2015, https://doi.org/10.5194/hess-19-1695-2015, 2015
M. C. Rogelis and M. Werner
Nat. Hazards Earth Syst. Sci., 14, 3043–3064, https://doi.org/10.5194/nhess-14-3043-2014, https://doi.org/10.5194/nhess-14-3043-2014, 2014
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A method for assessing regional debris flow susceptibility at the watershed scale, based on an index composed of a morphometric indicator and a land cover indicator, is proposed and applied in 106 peri-urban mountainous watersheds in Bogota, Colombia. The indicator of debris flow susceptibility is obtained from readily available information common to most peri-urban mountainous areas and can be used to prioritise watersheds that can subsequently be subjected to detailed hazard analysis.
F. F. Worku, M. Werner, N. Wright, P. van der Zaag, and S. S. Demissie
Hydrol. Earth Syst. Sci., 18, 3837–3853, https://doi.org/10.5194/hess-18-3837-2014, https://doi.org/10.5194/hess-18-3837-2014, 2014
P. Trambauer, S. Maskey, M. Werner, F. Pappenberger, L. P. H. van Beek, and S. Uhlenbrook
Hydrol. Earth Syst. Sci., 18, 2925–2942, https://doi.org/10.5194/hess-18-2925-2014, https://doi.org/10.5194/hess-18-2925-2014, 2014
P. Trambauer, E. Dutra, S. Maskey, M. Werner, F. Pappenberger, L. P. H. van Beek, and S. Uhlenbrook
Hydrol. Earth Syst. Sci., 18, 193–212, https://doi.org/10.5194/hess-18-193-2014, https://doi.org/10.5194/hess-18-193-2014, 2014
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Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
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Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
EGUsphere, https://doi.org/10.5194/egusphere-2024-1467, https://doi.org/10.5194/egusphere-2024-1467, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity and impacts during the recent climate change. The paper present a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis shows generally not any statistically significant trends in the characteristics analysed.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Andrew Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
EGUsphere, https://doi.org/10.5194/egusphere-2024-1122, https://doi.org/10.5194/egusphere-2024-1122, 2024
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Most of the studies on compound flooding assume events that generate extreme rainfall and coastal water level responses originate from a single population, in reality, they originate from multiple populations each with unique statistical characteristics. This paper presents a flexible statistical framework for assessing the compound flood potential from multiple flood drivers that explicitly accounts for different event types.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Tran Ba, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
EGUsphere, https://doi.org/10.5194/egusphere-2024-949, https://doi.org/10.5194/egusphere-2024-949, 2024
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We look at how compound flooding from the combination of river flooding and storm tide (storm surge plus astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means that managers of deltas such as the Mekong can assess options for improving existing flood defences.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
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Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-1088, https://doi.org/10.5194/egusphere-2024-1088, 2024
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This study used advanced computer simulations to investigate how earthquake-induced building collapse affects flooding of the metro stations in Shanghai. Results show that the influence of building collapse on rainfall-driven and river-driven flood are different because these two types of floods have different origination and propagation mechanisms.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
EGUsphere, https://doi.org/10.5194/egusphere-2023-3094, https://doi.org/10.5194/egusphere-2023-3094, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern U.S., in climate data. Analyzing the Susquehanna River Basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
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This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
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The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
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We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
EGUsphere, https://doi.org/10.5194/egusphere-2024-153, https://doi.org/10.5194/egusphere-2024-153, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the cascading impact of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the cascading impacts of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
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We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-21, https://doi.org/10.5194/nhess-2024-21, 2024
Revised manuscript accepted for NHESS
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Our study examines how building the Skalička Dam near the Hranice Karst affects local groundwater. We used advanced modeling to analyze two dam layouts: lateral and through-flow reservoirs. Results show the through-flow variant significantly alters water levels and mineral water discharge, while the lateral layout has less impact.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
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Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-206, https://doi.org/10.5194/nhess-2023-206, 2024
Revised manuscript accepted for NHESS
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Climate change is leading in the Pyrenees Massif to a change in socioeconomic increasing their sensitivity to natural risks such as floods. However, until now, no systematic study like this one had been carried out that would allow evaluating the frequency, distribution and main meteorological features of these events on a massif scale. In 35 years there have been 181 flood events that have produced 154 fatalities.
Nejc Bezak, Panos Panagos, Leonidas Liakos, and Matjaž Mikoš
Nat. Hazards Earth Syst. Sci., 23, 3885–3893, https://doi.org/10.5194/nhess-23-3885-2023, https://doi.org/10.5194/nhess-23-3885-2023, 2023
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Extreme flooding occurred in Slovenia in August 2023. This brief communication examines the main causes, mechanisms and effects of this event. The flood disaster of August 2023 can be described as relatively extreme and was probably the most extreme flood event in Slovenia in recent decades. The economic damage was large and could amount to well over 5 % of Slovenia's annual gross domestic product; the event also claimed three lives.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
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This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Bouchra Zellou, Nabil El Moçayd, and El Houcine Bergou
Nat. Hazards Earth Syst. Sci., 23, 3543–3583, https://doi.org/10.5194/nhess-23-3543-2023, https://doi.org/10.5194/nhess-23-3543-2023, 2023
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In this study, we underscore the critical importance of strengthening drought prediction capabilities in the Mediterranean region. We present an in-depth evaluation of current drought forecasting approaches, encompassing statistical, dynamical, and hybrid statistical–dynamical models, and highlight unexplored research opportunities. Additionally, we suggest viable directions to enhance drought prediction and early warning systems within the area.
Sarra Kchouk, Louise Cavalcante, Lieke A. Melsen, David W. Walker, Germano Ribeiro Neto, Rubens Gondim, Wouter J. Smolenaars, and Pieter R. van Oel
EGUsphere, https://doi.org/10.5194/egusphere-2023-2726, https://doi.org/10.5194/egusphere-2023-2726, 2023
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Droughts impact water and people, yet monitoring often overlooks impacts on people. In Northeast Brazil, we assess official data against local experiences, finding data mismatches and blindspots. Mismatches occur due to the data's broad scope missing finer details. Blindspots arise from ignoring diverse community responses and vulnerabilities to droughts. We suggest enhanced monitoring by technical extension officers for both severe and mild droughts.
Francisco Rodrigues do Amaral, Nicolas Gratiot, Thierry Pellarin, and Tran Anh Tu
Nat. Hazards Earth Syst. Sci., 23, 3379–3405, https://doi.org/10.5194/nhess-23-3379-2023, https://doi.org/10.5194/nhess-23-3379-2023, 2023
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We propose an in-depth analysis of typhoon-induced compound flood drivers in the megacity of Ho Chi Minh, Vietnam. We use in situ and satellite measurements throughout the event to form a holistic overview of its impact. No evidence of storm surge was found, and peak precipitation presents a 16 h time lag to peak river discharge, which evacuates only 1.5 % of available water. The astronomical tide controls the river level even during the extreme event, and it is the main urban flood driver.
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377, https://doi.org/10.5194/nhess-23-3355-2023, https://doi.org/10.5194/nhess-23-3355-2023, 2023
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This article results from a master's research project which was part of a natural hazards programme developed by the French Ministry of Ecological Transition. The objective of this work was to investigate a possible way to improve the operational flash flood warning service by adding rainfall forecasts upstream of the forecasting chain. The results showed that the tested forecast product, which is new and experimental, has a real added value compared to other classical forecast products.
Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, and Wolfgang Wagner
Nat. Hazards Earth Syst. Sci., 23, 3305–3317, https://doi.org/10.5194/nhess-23-3305-2023, https://doi.org/10.5194/nhess-23-3305-2023, 2023
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In August and September 2022, millions of people were impacted by a severe flood event in Pakistan. Since many roads and other infrastructure were destroyed, satellite data were the only way of providing large-scale information on the flood's impact. Based on the flood mapping algorithm developed at Technische Universität Wien (TU Wien), we mapped an area of 30 492 km2 that was flooded at least once during the study's time period. This affected area matches about the total area of Belgium.
Clément Houdard, Adrien Poupardin, Philippe Sergent, Abdelkrim Bennabi, and Jena Jeong
Nat. Hazards Earth Syst. Sci., 23, 3111–3124, https://doi.org/10.5194/nhess-23-3111-2023, https://doi.org/10.5194/nhess-23-3111-2023, 2023
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We developed a system able to to predict, knowing the appropriate characteristics of the flood defense structure and sea state, the return periods of potentially dangerous events as well as a ranking of parameters by order of uncertainty.
The model is a combination of statistical and empirical methods that have been applied to a Mediterranean earthen dike. This shows that the most important characteristics of the dyke are its geometrical features, such as its height and slope angles.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-152, https://doi.org/10.5194/nhess-2023-152, 2023
Revised manuscript accepted for NHESS
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Machine learning (ML) models have growingly received attention for predicting flood events. However, there has been concerns about the transferability of these models (their capability in predicting out-of-sample events). Here, we showed that ML models can be transferable for hindcasting maximum river flood depths across major events (Hurricanes Ida, Isaias, Sandy, and Irene) in coastal watersheds when informed by the spatial distribution of pertinent features and underlying physical processes.
Lisa Köhler, Torsten Masson, Sabrina Köhler, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 23, 2787–2806, https://doi.org/10.5194/nhess-23-2787-2023, https://doi.org/10.5194/nhess-23-2787-2023, 2023
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We analyzed the impact of flood experience on adaptive behavior and self-reported resilience. The outcomes draw a paradoxical picture: the most experienced people are the most adapted but the least resilient. We find evidence for non-linear relationships between the number of floods experienced and resilience. We contribute to existing knowledge by focusing specifically on the number of floods experienced and extending the rare scientific literature on the influence of experience on resilience.
Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, and Kay Shelton
Nat. Hazards Earth Syst. Sci., 23, 2769–2785, https://doi.org/10.5194/nhess-23-2769-2023, https://doi.org/10.5194/nhess-23-2769-2023, 2023
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Ensemble forecasts of flood inundation produce maps indicating the probability of flooding. A new approach is presented to evaluate the spatial performance of an ensemble flood map forecast by comparison against remotely observed flooding extents. This is important for understanding forecast uncertainties and improving flood forecasting systems.
Betina I. Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023, https://doi.org/10.5194/nhess-23-2663-2023, 2023
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We used an integrated model to evaluate the impacts of nature-based solutions (NBSs) on flood mitigation across the Little Pee Dee and Lumber River watershed, the Carolinas, US. This area is strongly affected by climatic disasters, which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBSs can have visible effects on the reduction in hurricane-driven flooding.
Cited articles
Alam, A., Ahmed, B., and Sammonds, P.: Flash flood susceptibility assessment
using the parameters of drainage basin morphometry in SE Bangladesh, Quatern. Int., 575–576, 295–307, https://doi.org/10.1016/j.quaint.2020.04.047, 2020. a
Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS – global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175,
https://doi.org/10.5194/hess-17-1161-2013, 2013. a
Alfieri, L., Berenguer, M., Knechtl, V., Liechti, K., Sempere-Torres, D., and
Zappa, M.: Flash Flood Forecasting Based on Rainfall Thresholds, in:
Handbook of Hydrometeorological Ensemble Forecasting, Springer, 1–38,
https://doi.org/10.1007/978-3-642-40457-3_49-1, 2015. a
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., Roo, A., Salamon, P.,
Wyser, K., and Feyen, L.: Global projections of river flood risk in a warmer
world, Earth's Future, 5, 171–182, https://doi.org/10.1002/2016EF000485, 2017. a
Alfieri, L., Cohen, S., Galantowicz, J., Schumann, G. J. P., Trigg, M. A.,
Zsoter, E., Prudhomme, C., Kruczkiewicz, A., Coughlan de Perez, E., Flamig,
Z., Rudari, R., Wu, H., Adler, R. F., Brakenridge, R. G., Kettner, A.,
Weerts, A., Matgen, P., Islam, S. A. K. M., de Groeve, T., and Salamon, P.: A global network for operational flood risk reduction, Environ. Sci. Policy, 84, 149–158, https://doi.org/10.1016/j.envsci.2018.03.014, 2018. a, b
Aonashi, K., Awaka, J., Hirose, M., Hozu, T., and Kubota, T.: GSMaP passive,
microwave precipitation retrieval algorithm: Algorithm description and
validation, J. Meteorol. Soc. Jpn., 87A, 119–136, 2009. a
Arabameri, A., Saha, S., Chen, W., Roy, J., Pradhan, B., and Bui, D. T.: Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques, J. Hydrol., 587, 125007,
https://doi.org/10.1016/j.jhydrol.2020.125007, 2020. a
Azmeri, Hadihardaja, I. K., and Vadiya, R.: Identification of flash flood
hazard zones in mountainous small watershed of Aceh Besar Regency, Aceh
Province, Indonesia, Egypt. J. Remote Sens. Space Sci., 19, 143–160, https://doi.org/10.1016/j.ejrs.2015.11.001, 2016. a, b
Bajabaa, S., Masoud, D. M., and Alamri, N.: Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques: case study of
Wadi Al Lith, Saudi Arabia, Arab. J. Geosci., 7, 2469–2481, https://doi.org/10.1007/s12517-013-0941-2, 2013. a
Basher, R.: Global early warning systems for natural hazards: systematic and
people-centred, Philos. T. Roy. Soc. A, 364, 2167–2182,
https://doi.org/10.1098/rsta.2006.1819, 2006. a, b
Bischiniotis, K., Van Den Hurk, B., Jongman, B., Coughlan De Perez, E.,
Veldkamp, T., De Moel, H., and Aerts, J.: The influence of antecedent
conditions on flood risk in sub-Saharan Africa, Nat. Hazards Earth Syst. Sci., 18, 271–285, https://doi.org/10.5194/nhess-18-271-2018, 2018. a
Braud, I., Vincendon, B., Anquetin, S., Ducrocq, V., and Creutin, J. D.: The
challenges of flash flood forecasting, Mobility in the Face of Extreme
Hydrometeorological Events 1: Defining the Relevant Scales of Analysis, Elsevier, 63–88, https://doi.org/10.1016/B978-1-78548-289-2.50003-3, 2018. a, b
Bucherie, A.: Karonga historical flood occurrences and impacts dataset (2000–2018), Zenodo [data set], https://doi.org/10.5281/zenodo.4661438, 2021. a, b
Byers, E., Gidden, M., Leclere, D., Balkovic, J., Burek, P., Ebi, K., Greve,
P., Grey, D., Havlik, P., Hillers, A., Johnson, N., Kahil, T., Krey, V.,
Langan, S., Nakicenovic, N., Novak, R., Obersteiner, M., Pachauri, S.,
Palazzo, A., Parkinson, S., Rao, N. D., Rogelj, J., Satoh, Y., Wada, Y.,
Willaarts, B., and Riahi, K.: Global exposure and vulnerability to
multi-sector development and climate change hotspots, Environ. Res. Lett., 13, e055012, https://doi.org/10.1088/1748-9326/aabf45, 2018. a
Calvel, A., Werner, M., van den Homberg, M., Cabrera Flamini, A., Streefkerk,
I., Mittal, N., Whitfield, S., Langton Vanya, C., and Boyce, C.:
Communication Structures and Decision Making Cues and Criteria to Support
Effective Drought Warning in Central Malawi, Front. Climate, 2, 578327, https://doi.org/10.3389/fclim.2020.578327, 2020. a
Chao, Y. S. and Wu, C. J.: Principal component-based weighted indices and a
framework to evaluate indices: Results from the Medical Expenditure Panel
Survey 1996 to 2011, PLoS ONE, 12, e0183997, https://doi.org/10.1371/journal.pone.0183997, 2017. a
Creutin, J. D. and Borga, M.: Radar hydrology modifies the monitoring of
flash-flood hazard, Hydrol. Process., 17, 1453–1456, https://doi.org/10.1002/hyp.5122, 2003. a, b
C3S: ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global
climate, Copernicus Climate Change Service Climate Data Store,
https://cds.climate.copernicus.eu, last access: January 2019. a
Doswell, C. A. and Brooks, H. E.: Flash flood forecasting : An
ingredients-based methodology, Weather Forecast., 11, 560–581,
https://doi.org/10.1175/1520-0434(1996)011<0560:FFFAIB>2.0.CO;2, 1996. a
Drobot, S. and Parker, D. J.: Advances and challenges in flash flood warnings, Environ. Hazards, 7, 173–178, https://doi.org/10.1016/j.envhaz.2007.09.001, 2007. a, b
EM-DAT: The CRED OFDA International Disaster Database,
https://www.emdat.be/, last access: December 2018. a
Emerton, R. E., Stephens, E. M., Pappenberger, F., Pagano, T. C., Weerts, A. H., Wood, A. W., Salamon, P., Brown, J. D., Hjerdt, N., Donnelly, C., Baugh, C. A., and Cloke, H. L.: Continental and global scale flood forecasting systems, WIREs Water, 3, 391–418, https://doi.org/10.1002/wat2.1137, 2016. a, b, c, d
Engelbrecht, F., Adegoke, J., Bopape, M. J., Naidoo, M., Garland, R., Thatcher, M., McGregor, J., Katzfey, J., Werner, M., Ichoku, C., and Gatebe, C.: Projections of rapidly rising surface temperatures over Africa under low
mitigation, Environ. Res. Lett., 10, 085004, https://doi.org/10.1088/1748-9326/10/8/085004, 2015. a
Farhan, Y., Anaba, O., and Salim, A.: Morphometric Analysis and Flash Floods
Assessment for Drainage Basins of the Ras En Naqb Area, South Jordan Using
GIS, J. Geosci. Environ. Protect., 04, 9–33, https://doi.org/10.4236/gep.2016.46002, 2016. a
FloodList: Reporting floods and flooding news since 2008, Funded by
Copernicus, the European System for Earth Monitoring,
https://floodlist.com/, last access: December 2018. a
Georgakakos, K. P.: A generalized stochastic hydrometeorological model for
flood and flash-flood forecasting: 1. Formulation, Water Resour. Res., 22, 2083–2095, https://doi.org/10.1029/WR022i013p02083, 1986. a
Georgakakos, K. P.: Analytical results for operational flash flood guidance,
J. Hydrol., 317, 81–103, https://doi.org/10.1016/j.jhydrol.2005.05.009, 2005. a
Gray, D. M.: Interrelationships of watershed characteristics, J. Geophys. Res., 66, 1215–1223, https://doi.org/10.1029/JZ066i004p01215, 1961. a
Gründemann, G. J., Werner, M., and Veldkamp, T. I.: The potential of global reanalysis datasets in identifying flood events in Southern Africa,
Hydrol. Earth Syst. Sci., 22, 4667–4683, https://doi.org/10.5194/hess-22-4667-2018, 2018. a
Hapuarachchi, H. A., Wang, Q. J., and Pagano, T. C.: A review of advances in
flash flood forecasting, Hydrol. Process., 25, 2771–2784, https://doi.org/10.1002/hyp.8040, 2011. a, b
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P.,
Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hoeppe, P.: Trends in weather related disasters – Consequences for insurers
and society, Weather Clim. Extrem., 11, 70–79, https://doi.org/10.1016/j.wace.2015.10.002, 2015. a
Horton, B. Y. R. E.: Erosional development of streams and their drainage
basins; Hydrophysical approach to quantitative morphology, B. Geol. Soci. Am., 56, 275–370, 1945. a
ICA: Malawi Integrated Context Analysis, Tech. rep., WFP,
https://documents.wfp.org/stellent/groups/public/documents/communications/wfp264472.pdf
(last access: April 2019), 2014. a
IFPRI: IFPRI Key Facts Series: Poverty May 2019 Background to the Integrated
Household Surveys (IHS), Tech. Rep., https://www.ifpri.org/publication/ifpri-key-facts-series-poverty
last access: June 2019. a
IFRC-GO: Disaster Response and Preparedness Operation Database. International
Federation of the Red Cross, https://go.ifrc.org/, last access: December 2018. a
Jarvis, A., Reuter, H., Nelson, A., and Guevara, E.: Hole-filled SRTM for the
globe version 3 from the CGIAR-CSI SRTM 90 m database, http://srtm.csi.cgiar.org (last access: December 2018), 2008. a
Javelle, P., Fouchier, C., Arnaud, P., and Lavabre, J.: Flash flood warning at ungauged locations using radar rainfall and antecedent soil moisture
estimations, J. Hydrol., 394, 267–274, https://doi.org/10.1016/j.jhydrol.2010.03.032, 2010. a
Jonkman, S. N.: Global Perspectives on Loss of Human Life Caused by Floods,
Nat. Hazards, 34, 151–175, https://doi.org/10.1007/s11069-004-8891-3, 2005. a
Jubach, R. and Sezin Tokar, A.: International severe weather and flash flood
hazard early warning systems-leveraging coordination, cooperation, and
partnerships through a hydrometeorological project in Southern Africa, Water, 8, 1–11, https://doi.org/10.3390/w8060258, 2016. a, b
Karmokar, S. and De, M.: Flash flood risk assessment for drainage basins in
the Himalayan foreland of Jalpaiguri and Darjeeling Districts, West Bengal,
Model. Earth Syst. Environ., 6, 2263–2289, https://doi.org/10.1007/s40808-020-00807-9, 2020. a
Kauffeldt, A., Wetterhall, F., Pappenberger, F., Salamon, P., and Thielen, J.: Technical review of large-scale hydrological models for implementation in
operational flood forecasting schemes on continental level, Environ. Model. Softw., 75, 68–76, https://doi.org/10.1016/j.envsoft.2015.09.009, 2015. a
Kirpich, Z. P.: Time of concentration of small agricultural watersheds, Civ.
Eng., 10, 362, 1940. a
Kubota, T., Shige, S., Hashizume, H., Aonashi, K., Takahashi, N., Ushio, T.,
and Kachi, M.: Global Precipitation Map using Satelliteborne Microwave
Radiometers by the GSMaP Project: Production and Validation, in: International Geoscience and Remote Sensing Symposium (IGARSS), Vol. 45, 2259–2275, https://doi.org/10.1109/IGARSS.2006.668, 2007. a
Lavers, D. A., Harrigan, S., Andersson, E., Richardson, D. S., Prudhomme, C.,
and Pappenberger, F.: A vision for improving global flood forecasting, Environ. Res. Lett., 14, 121002, https://doi.org/10.1088/1748-9326/ab52b2, 2019. a, b
Lefale, P. F.: Ua 'afa le Aso Stormy weather today: Traditional ecological
knowledge of weather and climate. The Samoa experience, Climatic Change, 100, 317–335, https://doi.org/10.1007/s10584-009-9722-z, 2010. a
Linsey, R. K., Kohler, M. A., and Pauhlus, J. L. H.: Hydrology for engineers, 3rd Edn., McGraw-Hill, New York, https://www.mendeley.com/catalogue/b109a1db-5807-34e5-a767-03b2b5852b9c/?utm_source=desktop&utm_medium=1.19.8&utm_campaign=open_catalog&userDocumentId={c4e049fe-b229-4203-a6be-2f3690382903}, (last access: February 2022), 1982. a
Luther, J., Hainsworth, A., Tang, X., Harding, J., Torres, J., and Fanchiotti, M.: Advancing Culture of Living with Landslides, volume 1 ISDR-ICL Sendai Partnerships 2015–2025, Adv. Cult. Liv. Landslide., https://doi.org/10.1007/978-3-319-59469-9, 2017. a
Martin, N. and Rice, J.: Emergency communications and warning systems,
Disast. Prevent. Manage., 21, 529–540, https://doi.org/10.1108/09653561211278671, 2012. a
McSweeney, C., New, M., and Lizcano, G.: The UNDP Climate Change Country
Profiles, B. Am. Meteorol. Soc., 91, 157–166, https://doi.org/10.1175/2009BAMS2826.1, 2010. a
Meléndez-Landaverde, E. R., Werner, M., and Verkade, J.: Exploring
protective decision-making in the context of impact-based flood warnings, J. Flood Risk Manage., 13, 1–11, https://doi.org/10.1111/jfr3.12587, 2020. a
Melton, M. A.: An analysis of the relations among elements of climate, surface properties, and geomorphology, Office of Naval Research Technical Report No. 11, https://doi.org/10.7916/d8-0rmg-j112, 1957. a
Miller, V. C.: A quantitative geomorphic study of drainage basin
characteristics in the Clinch Mountain area, Virginia and Tennessee, Dept. of Geology, Columbia University, New York, 389–402, https://www.worldcat.org/title/quantitative-geomorphic-study-of-drainage-basin-characteristics
(last access: February 2022), 1953. a
Molinari, D. and Handmer, J.: A behavioural model for quantifying flood
warning effectiveness, J. Flood Risk Manage., 4, 23–32,
https://doi.org/10.1111/j.1753-318X.2010.01086.x, 2011. a
Morss, R. E., Demuth, J. L., Lazo, J. K., Dickinson, K., Lazrus, H., and
Morrow, B. H.: Understanding public hurricane evacuation decisions and
responses to forecast and warning messages, Weather Forecast., 31, 395–417, https://doi.org/10.1175/WAF-D-15-0066.1, 2016. a
Munich RE: NatCatSERVICE disaster database,
https://www.munichre.com/en/solutions/for-industry-clients/natcatservice.html
(last access: December 2018), 2004. a
Nicholson, S. E., Klotter, D., and Chavula, G.: A detailed rainfall climatology for Malawi, Southern Africa, Int. J. Climatol., 34, 315–325, 2014. a
Nyasa Times: Malawi breaking online news, https://www.nyasatimes.com/, last access: March 2019. a
Okamoto, K., Ushio, T., and Iguchi, T.: The Global Satellite Mapping of
Precipitation (GSMaP) project, in: 25th IGARSS Proceedings, 5, 3414–3416,
https://doi.org/10.1109/IGARSS.2005.1526575, 2005. a
Orlove, B., Roncoli, C., Kabugo, M., and Majugu, A.: Indigenous climate
knowledge in southern Uganda: The multiple components of a dynamic regional
system, Climatic Change, 100, 243–265, https://doi.org/10.1007/s10584-009-9586-2, 2010. a
Oruonye, E.: Morphometry and Flood in Small Drainage Basin: Case Study of
Mayogwoi River Basin in Jalingo, Taraba State Nigeria, J. Geogr. Environ. Earth Sci. Int., 5, 1–12, https://doi.org/10.9734/jgeesi/2016/23379, 2016. a
O'Sullivan, J. J., Bradford, R. A., Bonaiuto, M., De Dominicis, S., Rotko,
P., Aaltonen, J., Waylen, K., and Langan, S. J.: Enhancing flood resilience
through improved risk communications, Nat. Hazards Earth Syst. Sci., 12, 2271–2282, https://doi.org/10.5194/nhess-12-2271-2012, 2012. a
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. a
Patton, P. C. and Baker, V. R.: Morphometry and floods in small drainage
basins subject to diverse hydrogeomorphic controls, Water Resour. Res., 12, 941–952, https://doi.org/10.1029/WR012i005p00941, 1976. a, b
Perera, D., Seidou, O., Agnihotri, J., Mehmood, H., and Mohamed Rasmy, A. W.:
Challenges and Technical Advances in Flood Early Warning Systems (FEWSs),
in: Flood Impact Mitigation and Resilience Enhancement, Intechopen, 1–18,
https://doi.org/10.5772/intechopen.93069, 2020. a
Pham, B. T., Avand, M., Janizadeh, S., Phong, T. V., Al-Ansari, N., Ho, L. S., Das, S., Le, H. V., Amini, A., Bozchaloei, S. K., Jafari, F., and Prakash, I.: GIS based hybrid computational approaches for flash flood susceptibility assessment, Water, 12, 683, https://doi.org/10.3390/w12030683, 2020. a
Plotz, R. D., Chambers, L. E., and Finn, C. K.: The best of both worlds: A
decision-making framework for combining traditional and contemporary forecast
systems, J. Appl. Meteorol. Clim., 56, 2377–2392, https://doi.org/10.1175/JAMC-D-17-0012.1, 2017. a, b, c, d
Poolman, E., Rautenbach, H., and Vogel, C.: Application of probabilistic
precipitation forecasts from a deterministic model towards increasing the
lead-time of flash flood forecasts in South Africa, Water SA, 40, 729,
https://doi.org/10.4314/wsa.v40i4.18, 2014. a
ReliefWeb: Humanitarian information service, Provided by the United Nations
Office for the Coordination of Humanitarian Affairs (OCHA), https://reliefweb.int/disasters, last access: March 2019. a
Rogelis, M. C. and Werner, M.: Regional debris flow susceptibility analysis in mountainous peri-urban areas through morphometric and land cover indicators, Nat. Hazards Earth Syst. Sci., 14, 3043–3064,
https://doi.org/10.5194/nhess-14-3043-2014, 2014. a, b
Roujean, J. L., Leon-Tavares, J., Smets, B., Claes, P., Camacho De Coca, F.,
and Sanchez-Zapero, J.: Surface albedo and toc-r 300 m products from PROBA-V
instrument in the framework of Copernicus Global Land Service, Remote Sens. Environ., 215, 57–73, https://doi.org/10.1016/j.rse.2018.05.015, 2018. a
Sai, F., Cumiskey, L., Weerts, A., Bhattacharya, B., and Haque Khan, R.: Towards impact-based flood forecasting and warning in Bangladesh: a case study at the local level in Sirajganj district, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2018-26, 2018. a
Šakić Trogrlić, R., Wright, G., Duncan, M., van den Homberg, M., Adeloye, A., Mwale, F., and Mwafulirwa, J.: Characterising Local Knowledge across the Flood Risk Management Cycle: A Case Study of Southern Malawi, Sustainability, 11, 6, https://doi.org/10.3390/su11061681, 2019. a, b, c
Salit, F., Zaharia, L., and Beltrando, G.: Assessment of the warning system
against floods on a rural area: the case of the lower Siret River (Romania),
Nat. Hazards Earth Syst. Sci., 13, 409–416, https://doi.org/10.5194/nhess-13-409-2013, 2013. a
Schumm, S. A.: Evolution of drainage systems and slopes in badlands at Perth
Amboy, New Jersey, GSA Bull., 67, 597–646,
https://doi.org/10.1130/0016-7606(1956)67[597:EODSAS]2.0.CO;2, 1956. a, b, c
Shah, M. A. R., Douven, W., Werner, M., and Leentvaar, J.: Flood warning
responses of farmer households: a case study in Uria Union in the Brahmaputra
flood plain, Bangladesh, J. Flood Risk Manage., 5, 258–269,
https://doi.org/10.1111/j.1753-318X.2012.01147.x, 2012. a
Smith, G.: Flash Flood potential: determining the hydrologic response of FFMP
basins to heavy rain by analysing their physiographic characteristics, A
white paper available from the NWS Colorado Basin River Forecast Center web
site at http://www.cbrfc.noaa.gov/papers/ffp_wpap.pdf (last access: July 2021), 2003. a, b, c, d
Strahler, A. N.: Quantitative analysis of watershed geomorphology, Eos Trans. Am. Geophys. Union, 38, 913–920, https://doi.org/10.1029/TR038i006p00913, 1957. a
The Nation: Nation Publications Limited (NPL) Newspaper,
https://www.mwnation.com/, last access: March 2019. a
The University Corporation for Atmospheric Research and SENAMI-Cusco: Flash
Flood Early Warning System Reference Guide, Flash Flood Early Warning System
Reference Guide, COMET – NOAA Report,
http://www.meted.ucar.edu/communities/hazwarnsys/ffewsrg/FF_EWS.pdf (last access: March 2019), 2010. a
Tincu, R., Lazar, G., and Lazar, I.: Modified flash flood potential index in
order to estimate areas with predisposition to water accumulation, Open
Geosci., 10, 593–606, https://doi.org/10.1515/geo-2018-0047, 2018. a, b, c
Tong, A., Sainsbury, P., and Craig, J.: Consolidated criteria for reporting
qualitative research (COREQ): a 32-item checklist for interviews and focus
groups, Int. J. Qual. Health Care, 19, 349–357, https://doi.org/10.1093/intqhc/mzm042, 2007. a
UNICEF: UNICEF Malawi blog, https://unicefmalawi.blog/, last access: March 2019. a
UNISDR: Sendai framework for disaster risk reduction 2015–2030, Tech. rep.,
United Nations International Strategy for Disaster Reduction,
http://www.wcdrr.org/uploads/Sendai_Framework_for_Disaster_Risk_Reduction_2015-2030.pdf
(last access: July 2021), 2015. a
USAID: Conducting Key Informant Interviews, in: Performance Monitoring &
Evaluation TIPS, Tech. rep., Center for Development Information and
Evaluation, Washington, DC, https://pdf.usaid.gov/pdf_docs/PNABS541.pdf (last access: July 2021), 1996. a
Vincent, K., Conway, D., Dougill, A. J., Pardoe, J., Archer, E., Bhave, A. G., Henriksson, R., Mittal, N., Mkwambisi, D., Rouhaud, E., and Tembo-Nhlema, D.: Re-balancing climate services to inform climate-resilient planning – A
conceptual framework and illustrations from sub-Saharan Africa, Clim. Risk
Manage., 29, 100242, https://doi.org/10.1016/j.crm.2020.100242, 2020.
a, b
Werner, M. and Cranston, M.: Understanding the Value of Radar Rainfall
Nowcasts in Flood Forecasting and Warning in Flashy Catchments, Meteorol. Appl., 16, 41–55, https://doi.org/10.1002/met.125, 2009. a
Zevenbergen, L. W. and Thorne, C. R.: Quantitative analysis of land surface
topography, Earth Surf. Proc. Land., 12, 47–56, https://doi.org/10.1002/esp.3290120107, 1987. a
Zogg, J. and Deitsch, K.: The Flash Flood Potential Index at WFO Des Moines,
Iowa – NOAA – NWS, Tech. rep.,
http://www.crh.noaa.gov/Image/dmx/hydro/FFPI/FFPI_WriteUp.pdf
(last access: June 2019), 2013. a
Short summary
Local communities in northern Malawi have well-developed knowledge of the conditions leading to flash floods, spatially and temporally. Scientific analysis of catchment geomorphology and global reanalysis datasets corroborates this local knowledge, underlining the potential of these large-scale scientific datasets. Combining local knowledge with contemporary scientific datasets provides a common understanding of flash flood events, contributing to a more people-centred warning to flash floods.
Local communities in northern Malawi have well-developed knowledge of the conditions leading to...
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