Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-425-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-425-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2020
Research article |
| 07 Feb 2020
| 07 Feb 2020
Evaluation of two hydrometeorological ensemble strategies for flash-flood forecasting over a catchment of the eastern Pyrenees
Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
Arnau Amengual
Grup de Meteorologia, Departament de Física, Universitat de les
Illes Balears, Palma, Majorca, Spain
Romu Romero
Grup de Meteorologia, Departament de Física, Universitat de les
Illes Balears, Palma, Majorca, Spain
Ernest Bladé
Institut FLUMEN, E.T.S. d'Eng. De Camins, Canals i Ports de Barcelona, Universitat Politècnica de Catalunya, Barcelona, Spain
Marcos Sanz-Ramos
Institut FLUMEN, E.T.S. d'Eng. De Camins, Canals i Ports de Barcelona, Universitat Politècnica de Catalunya, Barcelona, Spain
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Rabab Yassine, Ludovic Cassan, Hélène Roux, Olivier Frysou, and François Pérès
Earth Surf. Dynam., 11, 1199–1221, https://doi.org/10.5194/esurf-11-1199-2023, https://doi.org/10.5194/esurf-11-1199-2023, 2023
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Predicting river morphology evolution is very complicated, especially for mountain rivers with complex morphologies such as the Lac des Gaves reach in France. A 2D hydromorphological model was developed to reproduce the channel's evolution and provide reliable volumetric predictions while revealing the challenge of choosing adapted sediment transport and friction laws. Our model can provide decision-makers with reliable predictions to design suitable restoration measures for this reach.
Abubakar Haruna, Pierre-Andre Garambois, Helene Roux, Pierre Javelle, and Maxime Jay-Allemand
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-414, https://doi.org/10.5194/hess-2021-414, 2021
Manuscript not accepted for further review
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We compared three hydrological models in a flash flood modelling framework. We first identified the sensitive parameters of each model, then compared their performances in terms of outlet discharge and soil moisture simulation. We found out that resulting from the differences in their complexities/process representation, performance depends on the aspect/measure used. The study then highlights and proposed some future investigations/modifications to improve the models.
Judith Eeckman, Hélène Roux, Audrey Douinot, Bertrand Bonan, and Clément Albergel
Hydrol. Earth Syst. Sci., 25, 1425–1446, https://doi.org/10.5194/hess-25-1425-2021, https://doi.org/10.5194/hess-25-1425-2021, 2021
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The risk of flash flood is of growing importance for populations, particularly in the Mediterranean area in the context of a changing climate. The representation of soil processes in models is a key factor for flash flood simulation. The importance of the various methods for soil moisture estimation are highlighted in this work. Local measurements from the field as well as data derived from satellite imagery can be used to assess the performance of model outputs.
Audrey Douinot, Hélène Roux, Pierre-André Garambois, and Denis Dartus
Hydrol. Earth Syst. Sci., 22, 5317–5340, https://doi.org/10.5194/hess-22-5317-2018, https://doi.org/10.5194/hess-22-5317-2018, 2018
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The distributed, process-oriented model, MARINE, was used to test several hypotheses of flow dynamics in soils during flash flood events in the Mediterranean area. Results show that the most realistic hypothesis for each catchment is consistent with existing in situ observations and measurements. The study also highlights the potential of distributed modelling and spatial observations in hydrology, especially in dealing with equifinality issues.
Rabab Yassine, Ludovic Cassan, Hélène Roux, Olivier Frysou, and François Pérès
Earth Surf. Dynam., 11, 1199–1221, https://doi.org/10.5194/esurf-11-1199-2023, https://doi.org/10.5194/esurf-11-1199-2023, 2023
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Predicting river morphology evolution is very complicated, especially for mountain rivers with complex morphologies such as the Lac des Gaves reach in France. A 2D hydromorphological model was developed to reproduce the channel's evolution and provide reliable volumetric predictions while revealing the challenge of choosing adapted sediment transport and friction laws. Our model can provide decision-makers with reliable predictions to design suitable restoration measures for this reach.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-130, https://doi.org/10.5194/nhess-2023-130, 2023
Revised manuscript accepted for NHESS
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On 22 October 2019, the Francolí river basin (Catalonia, Spain) experienced a heavy precipitation event, resulting in a catastrophic flash flood. The main hydrometeorological factors are investigated. The social response times are also collected and compared with catchment dynamics in order to examine the adequacy of monitoring and warning issuance. Finally, the study provides recommendations aimed at minimizing losses and improving preparedness for similar natural hazards in the future.
Arnau Amengual
Nat. Hazards Earth Syst. Sci., 22, 1159–1179, https://doi.org/10.5194/nhess-22-1159-2022, https://doi.org/10.5194/nhess-22-1159-2022, 2022
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On 12 and 13 September 2019, a long-lasting heavy precipitation episode resulted in widespread flash flooding over eastern Spain. Well-organized and quasi-stationary convective structures impacted a vast area with rainfall amounts over 200 mm. The very dry initial soil moisture conditions resulted in a dampened hydrological response: until runoff thresholds were exceeded, infiltration-excess generation did not start. This threshold-based behaviour is explored through simple scaling theory.
Abubakar Haruna, Pierre-Andre Garambois, Helene Roux, Pierre Javelle, and Maxime Jay-Allemand
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-414, https://doi.org/10.5194/hess-2021-414, 2021
Manuscript not accepted for further review
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We compared three hydrological models in a flash flood modelling framework. We first identified the sensitive parameters of each model, then compared their performances in terms of outlet discharge and soil moisture simulation. We found out that resulting from the differences in their complexities/process representation, performance depends on the aspect/measure used. The study then highlights and proposed some future investigations/modifications to improve the models.
Judith Eeckman, Hélène Roux, Audrey Douinot, Bertrand Bonan, and Clément Albergel
Hydrol. Earth Syst. Sci., 25, 1425–1446, https://doi.org/10.5194/hess-25-1425-2021, https://doi.org/10.5194/hess-25-1425-2021, 2021
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The risk of flash flood is of growing importance for populations, particularly in the Mediterranean area in the context of a changing climate. The representation of soil processes in models is a key factor for flash flood simulation. The importance of the various methods for soil moisture estimation are highlighted in this work. Local measurements from the field as well as data derived from satellite imagery can be used to assess the performance of model outputs.
Marcos Sanz-Ramos, Ernest Bladé, Pere Oller, Carlos A. Andrade, and Glòria Furdada
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-423, https://doi.org/10.5194/nhess-2019-423, 2020
Preprint withdrawn
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Dense snow avalanche propagation and deposition can be modelled using similar equations than for water motion changing the friction terms. Due to that, the avalanche tends to have a fluid-like behaviour. Thus, these equations must be properly balanced in order to avoid this behaviour, also including nonhydrostatic pressure and specific numerical techniques to stop the avalanche without any nonphysically based assumption. These improvements could help in a better snow avalanche modelling.
Jorge Lorenzo-Lacruz, Arnau Amengual, Celso Garcia, Enrique Morán-Tejeda, Víctor Homar, Aina Maimó-Far, Alejandro Hermoso, Climent Ramis, and Romualdo Romero
Nat. Hazards Earth Syst. Sci., 19, 2597–2617, https://doi.org/10.5194/nhess-19-2597-2019, https://doi.org/10.5194/nhess-19-2597-2019, 2019
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On 9 October 2018, an extreme convective storm (> 300 mm accumulated in 6 h) generated a flash flood (305 m3 s−1) in the Ses Planes torrent that devastated the town of Sant Llorenç (Mallorca, Spain). Water reached a depth of 3 m in the most affected areas, and there was greatly increased flow velocity at bridges crossing the town. The floodwaters were very powerful and modified the channel morphology: more than 5000 t of sediment was deposited in the 2 km reach upstream of the town.
Audrey Douinot, Hélène Roux, Pierre-André Garambois, and Denis Dartus
Hydrol. Earth Syst. Sci., 22, 5317–5340, https://doi.org/10.5194/hess-22-5317-2018, https://doi.org/10.5194/hess-22-5317-2018, 2018
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The distributed, process-oriented model, MARINE, was used to test several hypotheses of flow dynamics in soils during flash flood events in the Mediterranean area. Results show that the most realistic hypothesis for each catchment is consistent with existing in situ observations and measurements. The study also highlights the potential of distributed modelling and spatial observations in hydrology, especially in dealing with equifinality issues.
Climent Ramis, Romualdo Romero, Víctor Homar, Sergio Alonso, Agustí Jansà, and Arnau Amengual
Nat. Hazards Earth Syst. Sci., 17, 2351–2364, https://doi.org/10.5194/nhess-17-2351-2017, https://doi.org/10.5194/nhess-17-2351-2017, 2017
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During the hydrological year 2015–2016 (September to August) a severe drought affected the Balearic Islands, with substantial consequences on water availability. In this paper we analyze this anomalous episode in terms of the corresponding water balance. It is shown that the drought was the result of a lack of winter precipitation, the lowest in the last 43 years. In several analyzed meteorological stations, evaporation was greater than precipitation during all the months of the year.
Béatrice Vincendon and Arnau Amengual
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-353, https://doi.org/10.5194/nhess-2017-353, 2017
Preprint withdrawn
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Discharge forecasts are affected by meteorological and hydrological uncertainties, particularly difficult to handle when dealing with Mediterranean flash-flood. In this work, an intercomparison of two hydrometeorological ensemble strategies is presented for heavy precipitation events that affected semi-arid Spanish catchments. Both stategies are more beneficial than a deterministic approach when conveying information to end-users. Their skill is enhanced by shorter forecasting lead-times.
Beatrice Vincendon and Arnau Amengual
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-427, https://doi.org/10.5194/hess-2017-427, 2017
Preprint withdrawn
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Several hydrometeorological prediction systems were designed for two heavy precipitation events that affected Spanish Mediterranean catchments. The uncertainty on precipitation forecasting is sampled through probabilistic atmospheric systems based on two distinct kilometric-scale models. The rainfall scenarios are used to drive two distinct hydrological models. These strategies have proven useful for discharge forecasting, allowing to better encompass the arising uncertainty.
A. Jansa, P. Alpert, P. Arbogast, A. Buzzi, B. Ivancan-Picek, V. Kotroni, M. C. Llasat, C. Ramis, E. Richard, R. Romero, and A. Speranza
Nat. Hazards Earth Syst. Sci., 14, 1965–1984, https://doi.org/10.5194/nhess-14-1965-2014, https://doi.org/10.5194/nhess-14-1965-2014, 2014
C. Ramis, V. Homar, A. Amengual, R. Romero, and S. Alonso
Nat. Hazards Earth Syst. Sci., 13, 2483–2491, https://doi.org/10.5194/nhess-13-2483-2013, https://doi.org/10.5194/nhess-13-2483-2013, 2013
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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.
Christoph Nathanael von Matt, Regula Mülchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-6, https://doi.org/10.5194/nhess-2024-6, 2024
Revised manuscript accepted for NHESS
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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 newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all investigated regions of Switzerland. Our results highlight the benefits and need of both mitigation and adaptation measures at early stages.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-224, https://doi.org/10.5194/nhess-2023-224, 2024
Revised manuscript accepted for NHESS
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To identify the flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent run off 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 by the factor 2 or more would be achieved for most areas. The results can aid disaster risk management.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-228, https://doi.org/10.5194/nhess-2023-228, 2023
Revised manuscript accepted for NHESS
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects . We show that dealing with longer droughts requires different plans compared to shorter ones, and it's crucial to be ready for the challenges they bring.
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 Salinasa, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-209, https://doi.org/10.5194/nhess-2023-209, 2023
Revised manuscript accepted for NHESS
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A methodology of regional flood hazard mapping is proposed, based on experiences in Austria, which combines automatic methods with manual interventions in order to maximise efficiency and 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 38000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
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.
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.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-160, https://doi.org/10.5194/nhess-2023-160, 2023
Revised manuscript accepted for NHESS
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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 SWM, a stochastic weather model that produces catchment-scale stochastically 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.
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.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-130, https://doi.org/10.5194/nhess-2023-130, 2023
Revised manuscript accepted for NHESS
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On 22 October 2019, the Francolí river basin (Catalonia, Spain) experienced a heavy precipitation event, resulting in a catastrophic flash flood. The main hydrometeorological factors are investigated. The social response times are also collected and compared with catchment dynamics in order to examine the adequacy of monitoring and warning issuance. Finally, the study provides recommendations aimed at minimizing losses and improving preparedness for similar natural hazards in the future.
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.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
EGUsphere, https://doi.org/10.5194/egusphere-2023-1511, https://doi.org/10.5194/egusphere-2023-1511, 2023
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of buildings infrastructure to flooding hazards in Accra, Ghana.
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
Nat. Hazards Earth Syst. Sci., 23, 2419–2441, https://doi.org/10.5194/nhess-23-2419-2023, https://doi.org/10.5194/nhess-23-2419-2023, 2023
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Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2023-1106, https://doi.org/10.5194/egusphere-2023-1106, 2023
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic-hydrodynamic Model (M-DBCM) with two major improvements: 1) automated non-uniform mesh generation based on the D∞ algorithm was implemented to identify the flood-prone areas where high-resolution inundation conditions are needed; 2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2313–2332, https://doi.org/10.5194/nhess-23-2313-2023, https://doi.org/10.5194/nhess-23-2313-2023, 2023
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Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci., 23, 2111–2131, https://doi.org/10.5194/nhess-23-2111-2023, https://doi.org/10.5194/nhess-23-2111-2023, 2023
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This paper presents a new method for selecting streamflow drought hazard indicators for monitoring drought hazard for human water supply and river ecosystems in large-scale drought early warning systems. Indicators are classified by their inherent assumptions about the habituation of people and ecosystems to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit at a certain point in time) and severity (cumulated magnitude since drought onset).
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci., 23, 2001–2029, https://doi.org/10.5194/nhess-23-2001-2023, https://doi.org/10.5194/nhess-23-2001-2023, 2023
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This paper proposes a methodological framework designed for event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end users, with a focus on the anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should help in drawing robust conclusions about the usefulness of new rainfall ensemble forecasts.
Min Li, Mingfeng Zhang, Runxiang Cao, Yidi Sun, and Xiyuan Deng
Nat. Hazards Earth Syst. Sci., 23, 1453–1464, https://doi.org/10.5194/nhess-23-1453-2023, https://doi.org/10.5194/nhess-23-1453-2023, 2023
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It is an important disaster reduction strategy to forecast hydrological drought. In order to analyse the impact of human activities on hydrological drought, we constructed the human activity factor based on the method of restoration. With the increase of human index (HI) value, hydrological droughts tend to transition to more severe droughts. The conditional distribution model involving of human activity factor can further improve the forecasting accuracy of drought in the Luanhe River basin.
Patrick Ludwig, Florian Ehmele, Mário J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Michael Kunz, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, https://doi.org/10.5194/nhess-23-1287-2023, 2023
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Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
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Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023, https://doi.org/10.5194/nhess-23-1227-2023, 2023
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Estimating the severity of a rainfall event based on the damage caused is easy but highly depends on the affected region. A less biased measure for the extremeness of an event is its rarity combined with its spatial extent. In this brief communication, we investigate the sensitivity of such measures to the underlying dataset and highlight the importance of considering multiple spatial and temporal scales using the devastating rainfall event in July 2021 in central Europe as an example.
Paul D. Bates, James Savage, Oliver Wing, Niall Quinn, Christopher Sampson, Jeffrey Neal, and Andrew Smith
Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, https://doi.org/10.5194/nhess-23-891-2023, 2023
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We present and validate a model that simulates current and future flood risk for the UK at high resolution (~ 20–25 m). We show that UK flood losses were ~ 6 % greater in the climate of 2020 compared to recent historical values. The UK can keep any future increase to ~ 8 % if all countries implement their COP26 pledges and net-zero ambitions in full. However, if only the COP26 pledges are fulfilled, then UK flood losses increase by ~ 23 %; and potentially by ~ 37 % in a worst-case scenario.
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, https://doi.org/10.5194/nhess-23-823-2023, 2023
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In coastal deltas, flooding can occur from interactions between coastal, riverine, and pluvial drivers, so-called compound flooding. Global models however ignore these interactions. We present a framework for automated and reproducible compound flood modeling anywhere globally and validate it for two historical events in Mozambique with good results. The analysis reveals differences in compound flood dynamics between both events related to the magnitude of and time lag between drivers.
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, https://doi.org/10.5194/nhess-23-809-2023, 2023
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Data-driven models are becoming more of a surrogate that overcomes the limitations of the computationally expensive 2D hydrodynamic models to map urban flood hazards. However, the model's ability to generalize outside the training domain is still a major challenge. We evaluate the performance of random forest and convolutional neural networks to predict urban floodwater depth and investigate their transferability outside the training domain.
Tahmina Yasmin, Kieran Khamis, Anthony Ross, Subir Sen, Anita Sharma, Debashish Sen, Sumit Sen, Wouter Buytaert, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 23, 667–674, https://doi.org/10.5194/nhess-23-667-2023, https://doi.org/10.5194/nhess-23-667-2023, 2023
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Floods continue to be a wicked problem that require developing early warning systems with plausible assumptions of risk behaviour, with more targeted conversations with the community at risk. Through this paper we advocate the use of a SMART approach to encourage bottom-up initiatives to develop inclusive and purposeful early warning systems that benefit the community at risk by engaging them at every step of the way along with including other stakeholders at multiple scales of operations.
Venkataswamy Sahana and Arpita Mondal
Nat. Hazards Earth Syst. Sci., 23, 623–641, https://doi.org/10.5194/nhess-23-623-2023, https://doi.org/10.5194/nhess-23-623-2023, 2023
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In an agriculture-dependent, densely populated country such as India, drought risk projection is important to assess future water security. This study presents the first comprehensive drought risk assessment over India, integrating hazard and vulnerability information. Future drought risk is found to be more significantly driven by increased vulnerability resulting from societal developments rather than climate-induced changes in hazard. These findings can inform planning for drought resilience.
Susanna Mohr, Uwe Ehret, Michael Kunz, Patrick Ludwig, Alberto Caldas-Alvarez, James E. Daniell, Florian Ehmele, Hendrik Feldmann, Mário J. Franca, Christian Gattke, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Marc Scheibel, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 525–551, https://doi.org/10.5194/nhess-23-525-2023, https://doi.org/10.5194/nhess-23-525-2023, 2023
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The flood event in July 2021 was one of the most severe disasters in Europe in the last half century. The objective of this two-part study is a multi-disciplinary assessment that examines the complex process interactions in different compartments, from meteorology to hydrological conditions to hydro-morphological processes to impacts on assets and environment. In addition, we address the question of what measures are possible to generate added value to early response management.
Yinxue Liu, Paul D. Bates, and Jeffery C. Neal
Nat. Hazards Earth Syst. Sci., 23, 375–391, https://doi.org/10.5194/nhess-23-375-2023, https://doi.org/10.5194/nhess-23-375-2023, 2023
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In this paper, we test two approaches for removing buildings and other above-ground objects from a state-of-the-art satellite photogrammetry topography product, ArcticDEM. Our best technique gives a 70 % reduction in vertical error, with an average difference of 1.02 m from a benchmark lidar for the city of Helsinki, Finland. When used in a simulation of rainfall-driven flooding, the bare-earth version of ArcticDEM yields a significant improvement in predicted inundation extent and water depth.
Joseph L. Gutenson, Ahmad A. Tavakoly, Mohammad S. Islam, Oliver E. J. Wing, William P. Lehman, Chase O. Hamilton, Mark D. Wahl, and T. Christopher Massey
Nat. Hazards Earth Syst. Sci., 23, 261–277, https://doi.org/10.5194/nhess-23-261-2023, https://doi.org/10.5194/nhess-23-261-2023, 2023
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Emergency managers use event-based flood inundation maps (FIMs) to plan and coordinate flood emergency response. We perform a case study test of three different FIM frameworks to see if FIM differences lead to substantial differences in the location and magnitude of flood exposure and consequences. We find that the FIMs are very different spatially and that the spatial differences do produce differences in the location and magnitude of exposure and consequences.
Mohamed Saadi, Carina Furusho-Percot, Alexandre Belleflamme, Ju-Yu Chen, Silke Trömel, and Stefan Kollet
Nat. Hazards Earth Syst. Sci., 23, 159–177, https://doi.org/10.5194/nhess-23-159-2023, https://doi.org/10.5194/nhess-23-159-2023, 2023
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On 14 July 2021, heavy rainfall fell over central Europe, causing considerable damage and human fatalities. We analyzed how accurate our estimates of rainfall and peak flow were for these flooding events in western Germany. We found that the rainfall estimates from radar measurements were improved by including polarimetric variables and their vertical gradients. Peak flow estimates were highly uncertain due to uncertainties in hydrological model parameters and rainfall measurements.
Arefeh Safaei-Moghadam, David Tarboton, and Barbara Minsker
Nat. Hazards Earth Syst. Sci., 23, 1–19, https://doi.org/10.5194/nhess-23-1-2023, https://doi.org/10.5194/nhess-23-1-2023, 2023
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Climate change, urbanization, and aging infrastructure contribute to flooding on roadways. This study evaluates the potential for flood reports collected from Waze – a community-based navigation app – to predict these events. Waze reports correlate primarily with low-lying depressions on roads. Therefore, we developed two data-driven models to determine whether roadways will flood. Analysis showed that in the city of Dallas, drainage area and imperviousness are the most significant contributors.
Zongjia Zhang, Jun Liang, Yujue Zhou, Zhejun Huang, Jie Jiang, Junguo Liu, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 4139–4165, https://doi.org/10.5194/nhess-22-4139-2022, https://doi.org/10.5194/nhess-22-4139-2022, 2022
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An innovative multi-strategy-mode waterlogging-prediction framework for predicting waterlogging depth is proposed in the paper. The framework selects eight regression algorithms for comparison and tests the prediction accuracy and robustness of the model under different prediction strategies. Ultimately, the accuracy of predicting water depth after 30 min can exceed 86.1 %. This can aid decision-making in terms of issuing early warning information and determining emergency responses in advance.
Diego Fernández-Nóvoa, Orlando García-Feal, José González-Cao, Maite deCastro, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3957–3972, https://doi.org/10.5194/nhess-22-3957-2022, https://doi.org/10.5194/nhess-22-3957-2022, 2022
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A multiscale analysis, where the historical and future precipitation data from the CORDEX project were used as input in a hydrological model (HEC-HMS) that, in turn, feeds a 2D hydraulic model (Iber+), was applied to the case of the Miño-Sil basin (NW Spain), specifically to Ourense city, in order to analyze future changes in flood hazard. Detailed flood maps indicate an increase in the frequency and intensity of future floods, implying an increase in flood hazard in important areas of the city.
Cited articles
Agence de l'eau Rhône Méditerranée & Corse: Étude de
détermination des volumes prélevables, Bassin versant de l'Agly,
Technical report, available at:
http://www.pyrenees-orientales.gouv.fr/content/download/9251/55322/file/FINAL+Phase+1A3.pdf
(last access: 20 November 2019), 2012.
Akima, H.: A method of bivariate interpolation and smooth surface fitting for irregularly distributed data points, ACM Trans. Math. Softw., 4, 148–164, https://doi.org/10.1145/355780.355786, 1978.
Akima, H.: Algorithm 761: Scattered-data surface fitting that has the
accuracy of a cubic polynomial, ACM Trans. Math. Softw., 22, 362–371,
https://doi.org/10.1145/232826.232856, 1996.
Amengual, A., Romero, R., and Alonso, S.: Hydro-meteorological ensemble
simulations of flood events over a small basin of Majorca Island, Spain, Q. J. Roy. Meteorol. Soc., 134, 1221–1242, 2008.
Amengual, A., Carrió, D. S., Ravazzani, G., and Homar, V.: A Comparison
of Ensemble Strategies for Flash Flood Forecasting: The 12 October 2007 Case
Study in Valencia, Spain, J. Hydrometeorol., 18, 1143–1166,
https://doi.org/10.1175/JHM-D-16-0281.1, 2017.
Angevine, W. M., Jiang, H., and Mauritsen, T.: Performance of an eddy
diffusivity–mass flux scheme for shallow cumulus boundary layers, Mon. Weather Rev., 13, 2895–2912, https://doi.org/10.1175/2010MWR3142.1, 2010.
Antonetti, M., Horat, C., Sideris, I. V., and Zappa, M.: Ensemble flood
forecasting considering dominant runoff processes – Part 1: Set-up and
application to nested basins (Emme, Switzerland), Nat. Hazards Earth Syst. Sci., 19, 19–40, https://doi.org/10.5194/nhess-19-19-2019, 2019.
Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141–153, https://doi.org/10.5194/hess-13-141-2009, 2009.
Bellier, J., Bontron, G., and Zin, I.: Using Meteorological Analogues for
Reordering Postprocessed Precipitation Ensembles in Hydrological Forecasting, Water Resour. Res., 53, 10085–10107, https://doi.org/10.1002/2017WR021245, 2017.
Bellier, J., Zin, I., and Bontron, G.: Generating Coherent Ensemble Forecasts After Hydrological Postprocessing: Adaptations of ECC-Based Methods, Water Resour. Res., 54, 5741–5762, https://doi.org/10.1029/2018WR022601, 2018.
Benninga, H.-J. F., Booij, M. J., Romanowicz, R. J., and Rientjes, T. H. M.:
Performance of ensemble streamflow forecasts under varied hydro-meteorological conditions, Hydrol. Earth Syst. Sci., 21, 5273–5291,
https://doi.org/10.5194/hess-21-5273-2017, 2017.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing
area model of basin hydrology, Hydrolog. Sci. J., 24, 43–69,
https://doi.org/10.1080/02626667909491834, 1979.
Bontron, G.: Prévision quantitative des précipitations: adaptation
probabiliste par recherche d'analogues. Utilisation des réanalyses
NCEP/NCAR et application aux précipitations du Sud-Est de la France, PhD Thesis from Institut National Polytechnique de Grenoble, France, available at: https://tel.archives-ouvertes.fr/tel-01090969 (last
access: 31 January 2020), 2004.
Braud, I., Ayral, P.-A., Bouvier, C., Branger, F., Delrieu, G., Le Coz, J.,
Nord, G., Vandervaere, J.-P., Anquetin, S., Adamovic, M., Andrieu, J., Batiot, C., Boudevillain, B., Brunet, P., Carreau, J., Confoland, A.,
Didon-Lescot, J.-F., Domergue, J.-M., Douvinet, J., Dramais, G., Freydier, R., Gérard, S., Huza, J., Leblois, E., Le Bourgeois, O., Le Boursicaud,
R., Marchand, P., Martin, P., Nottale, L., Patris, N., Renard, B., Seidel,
J.-L., Taupin, J.-D., Vannier, O., Vincendon, B., and Wijbrans, A.:
Multi-scale hydro-meteorological observation and modelling for flash flood
understanding, Hydrol. Earth Syst. Sci., 18, 3733–3761, https://doi.org/10.5194/hess-18-3733-2014, 2014.
Buizza, R. and Palmer, T. N.: The singular-vector structure of the atmospheric general circulation, J. Atmos. Sci. Eng., 52, 1434–1456, https://doi.org/10.1175/1520-0469(1995)052<1434:TSVSOT>2.0.CO;2, 1995.
Champeaux, J.-L., Dupuy, P., Laurantin, O., Soulan, I., Tabary, P., and
Soubeyroux, J.-M.: Rainfall measurements and quantitative precipitation
estimations at Météo-France: inventory and prospects, La Houille
Blanche, 5, 28–34, https://doi.org/10.1051/lhb/2009052, 2009.
Cloke, H. L. and Pappenberger, F.: Ensemble flood forecasting: A review, J. Hydrol., 375, 613–626, https://doi.org/10.1016/j.jhydrol.2009.06.005, 2009.
Cloke, H. L., Pappenberger, F., van Andel, S. J., Schaake, J., Thielen, J.,
and Ramos, M.-H. (Eds.): Special Issue on Hydrological Ensemble Prediction
Systems (HEPS), Hydrol. Process., 27, 1–163, 2013.
Coniglio, M. C., Correia Jr., J., Marsh, P. T., and Kong, F.: Verification of
convection-allowing WRF Model forecasts of the planetary boundary layer
using sounding observations, Weather Forecast., 28, 842–862,
https://doi.org/10.1175/WAF-D-12-00103.1, 2013.
DIREN Languedoc-Roussillon/SIEE-GINGER: Atlas des zones inondables du bassin
versant de l'Agly par la méthode hydrogéomorphologique, Technical
report, available at:
http://piece-jointe-carto.developpement-durable.gouv.fr/REG091B/RISQUE/CDROM/agly/fichiers/rapport AZI_ Agly.pdf (last access: 20 November 2019), 2008.
Douinot, A., Roux, H., and Dartus, D.: Modelling errors calculation adapted
to rainfall-runoff model user expectations and discharge data uncertainties,
Environ. Model. Softw., 90, 157–166, https://doi.org/10.1016/j.envsoft.2017.01.007, 2017.
Douinot, A., Roux, H., Garambois, P.-A., and Dartus, D.: Using a multi-hypothesis framework to improve the understanding of flow dynamics
during flash floods, Hydrol. Earth Syst. Sci., 22, 5317–5340, https://doi.org/10.5194/hess-22-5317-2018, 2018.
Drobinski, P., Ducrocq, V., Alpert, P., Anagnostou, E., Béranger, K.,
Borga, M., Braud, I., Chanzy, A., Davolio, S., Delrieu, G., Estournel, C.,
Filali Boubrahmi, N., Font, J., Grubišić, V., Gualdi, S., Homar, V.,
Ivančan-Picek, B., Kottmeier, C., Kotroni, V., Lagouvardos, K., Lionello, P., Llasat, M. C., Ludwig, W., Lutoff, C., Mariotti, A., Richard, E., Romero, R., Rotunno, R., Roussot, O., Ruin, I., Somot, S., Taupier-Letage, I., Tintore, J., Uijlenhoet, R., and Wernili, H.: HyMeX A 10-year multidisciplinary program on the Mediterranean water cycle, B. Am. Meteorol. Soc., 95, 1063–1082, https://doi.org/10.1175/BAMS-D-12-00242.1, 2014.
Dudhia, J.: Numerical study of convection observed during the Winter Monsoon
Experiment using a mesoscale two-dimensional model, J. Atmos. Sci., 46,
3077–3107, 1989.
Edouard, S., Vincendon, B., and Ducrocq, V.: Ensemble-based flash flood
modelling: Taking into account hydrodynamic parameters and initial soil
moisture uncertainties, J. Hydrol., 560, 480–494, https://doi.org/10.1016/j.jhydrol.2017.04.048, 2018.
Evans, J. P., Ekström, M., and Ji, F.: Evaluating the performance of a
WRF physics ensemble over south-east Australia, Clim. Dynam., 39, 1241–1258, https://doi.org/10.1007/s00382-011-1244-5, 2012.
Fiori, E., Comellas, A., Molini, L., Rebora, N., Siccardi, F., Gochis, D. J.,
Tanelli, S., and Parodi, A.: Analysis and hindcast simulations of an extreme
rainfall event in the Mediterranean area: the Genoa 2011 case, Atmos. Res.,
138, 13–29, 2014.
Fread, D. L.: Flow routing, in: Hanbook of Hydrology, edited by: Maidment, D. R., MCGraw-Hill, Inc., USA, 1992.
Garambois, P. A., Roux, H., Larnier, K., Castaings, W., and Dartus, D.:
Characterization of process-oriented hydrologic model behavior with temporal
sensitivity analysis for flash floods in Mediterranean catchments, Hydrol.
Earth Syst. Sci., 17, 2305–2322, https://doi.org/10.5194/hess-17-2305-2013, 2013.
Garambois, P. A., Roux, H., Larnier, K., Labat, D., and Dartus, D.:
Characterization of catchment behavior and rainfall selection for flash
flood hydrological model calibration: catchments of the eastern Pyrenees,
Hydrolog. Sci. J., 60, 424–447, https://doi.org/10.1080/02626667.2014.909596, 2015a.
Garambois, P.-A., Roux, H., Larnier, K., Labat, D., and Dartus, D.: Parameter regionalization for a process oriented distributed model dedicated to flash floods, J. Hydrol., 525, 383–399, https://doi.org/10.1016/j.jhydrol.2015.03.052, 2015b.
Gaume, E., Bain, V., Bernardara, P., Newinger, O., Barbuc, M., Bateman, A.,
Blaškovicová, L., Blöschl, G., Borga, M., Dumitrescu, A.,
Daliakopoulos, I., Garcia, J., Irimescu, A., Kohnova, S., Koutroulis, A.,
Marchi, L., Matreata, S., Medina, V., Preciso, E., Sempere-Torres, D., Stancalie, G., Szolgay, J., Tsanis, I., Velasco, D., and Viglione, A.: A
compilation of data on european flash floods, J. Hydrol., 367, 70–78,
https://doi.org/10.1016/j.jhydrol.2008.12.028, 2009.
Gilmour, I., Smith, L. A., and Buizza, R.: Linear region duration: Is 24 hours a long time in synoptic weather forecasting?, J. Atmos. Sci., 58,
3525–3539, 2001.
Green, W. H. and Ampt, C. A.: Studies on soil physics of flowof air and water
through soils, J. Agricult. Sci., 4, 1–24, 1911.
Grimit, E. P. and Mass, C. F.: Measuring the ensemble spread–error relationship with a probabilistic approach: stochastic ensemble results, Mon. Weather Rev., 135, 203–221, 2007.
Habets, F., Boone, A., Champeaux, J.-L., Etchevers, P., Franchisteguy, L.,
Leblois, E., Ledoux, E., Le Moigne, P., Martin, E., Morel, S., Noilhan, J.,
Quintana Seguí, P., Rousset Regimbeau, F., and Viennot, P.: The
SAFRAN-ISBA-MODCOU hydro-meteorological model applied over France, J. Geophys. Res.-Atmos., 113, D06113, https://doi.org/10.1029/2007JD008548, 2008.
Hersbach, H.: Decomposition of the Continuous Ranked Probability Score for
Ensemble Prediction Systems, Weather Forecast., 15, 559–570, https://doi.org/10.1175/1520-0434(2000)015<0559:DOTCRP>2.0.CO;2, 2000.
Hong, S.-Y. and Lim, J.-O. J.: The WRF single-moment 6-class microphysics
scheme (WSM6), J. Korean Meteorol. Soc., 42, 129–151, 2006.
Hong, S.-Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with
an explicit treatment of entrainment processes, Mon. Weather Rev., 134,
2318–2341, https://doi.org/10.1175/MWR3199.1, 2006.
Hsiao, L.-F., Yang, M.-J., Lee, C.-S., Kuo, H.-C., Shih, D.-S., Tsai, C.-C.,
Wang, C.-J., Chang, L.-Y., Chen, D. Y.-C., Feng, L., Hong, J.-S., Fong, C.-T., Chen, D.-S., Yeh, T.-C., Huang, C.-Y., Guo, W.-D., and Lin, G.-F.:
Ensemble forecasting of typhoon rainfall and floods over a mountainous
watershed in Taiwan, J. Hydrol., 506, 55–68, https://doi.org/10.1016/j.jhydrol.2013.08.046, 2013.
Hu, X.-M., Nielsen-Gammon, J. W., and Zhang, F.: Evaluation of three planetary boundary layer schemes in the WRF Model, J. Appl. Meteorol. Clim., 49, 1831–1843, https://doi.org/10.1175/2010JAMC2432.1, 2010.
Jain, S. K., Mani, P., Jain, S. K., Prakash, P., Singh, V. P., Tullos, D.,
Kumar, S., Agarwal, S. P., and Dimri, A. P.: A Brief review of flood forecasting techniques and their applications, Int. J. River Basin Manage., 16, 329–344, https://doi.org/10.1080/15715124.2017.1411920, 2018.
Janjic, Z. I.: The step-mountain eta coordinate model: further developments
of the convection, viscous sublayer, and turbulence closure schemes, Mon.
Weather Rev., 122, 927–945, https://doi.org/10.1175/1520-0493(1994)122<0927:TSMECM>2.0.CO;2, 1994.
Jankov, I., Gallus Jr., W. A., Segal, M., Shaw, B., and Koch, S. E.: The
impact of different WRF Model physical parameterizations and their
interactions on warm season MCS rainfall, Weather Forecast., 20, 1048–1060, https://doi.org/10.1175/WAF888.1, 2005.
Krzysztofowicz, R.: The case for probabilistic forecasting in hydrology,
J. Hydrol., 249, 2–9, https://doi.org/10.1016/S0022-1694(01)00420-6, 2001.
Ladouche, B. and Dörfliger, N.: Evaluation des ressources en eau des
corbières. Phase I – Synthèse de la caractérisation des
systèmes karstiques des Corbières Orientales, Tecnical report BRGM,
available at: http://infoterre.brgm.fr/rapports/RP-52919-FR.pdf (last access: 6 December 2019), 2004.
Laurantin, O.: ANTILOPE: hourly rainfall analysis merging radar and
raingauges data, in: Proceedings of Weather Radar and Hydrology Conference 2008, Grenoble, 2008.
Le Lay, M. and Saulnier, G. M.: Exploring the signature of climate and landscape spatial variabilities in flash flood events: case of the 8–9 September 2002 Cévennes-Vivarais catastrophic event, Geophys. Res.
Lett., 34, L13401, https://doi.org/10.1029/2007GL029746, 2007.
Leoncini, G., Plant, R. S., Gray, S. L., and Clark, P. A.: Ensemble forecasts
of a flood producing storm: comparison of the influence of model-state
perturbations and parameter modifications, Q. J. Roy. Meteorol. Soc., 139, 198–211, 2013.
Mansell, E. R.: On sedimentation and advection in multimoment bulk microphysics, J. Atmos. Sci., 67, 3084–3094, https://doi.org/10.1175/2010JAS3341.1, 2010.
Matheson, J. E. and Winkler, R. L.: Scoring rules for continuous probability
distribution, Manage. Sci., 22, 1087–1096, 1976.
Maubourguet, M.-M., Chorda, J., Dartus, D., and George, J.: Prévision
des crues éclair sur le Gardon d'Anduze (Flash flood forecasting in the
Gardon catchment at Anduze), in: 1st Mediterranean-HyMeX Workshop – Hydrological cycle in Mediterranean Experiment, 9–11 January 2007, Météo-France, Toulouse, France, 2007.
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res., 102, 16663–16682,
1997.
Molteni, F., Buizza, R., Palmer, T. N., and Petroliagis, T.: The ECMWF
ensemble prediction system: methodology and validation, Q. J. Roy. Meteorol. Soc., 122, 73–119, https://doi.org/10.1002/qj.49712252905, 1996.
Mounier, F., Lassègues, P., Gibelin, A.-L., Céron, J.-P., and
Veysseire, J.-M.: Radar-guided control and interpolation of rain gauge
precipitation data over France, Report EURO4M project (European Reanalysis
and Observations for Monitoring project), available at:
http://www.euro4m.eu/Publications/Report_Flore_Mounier_EURO4M_201203.pdf (last access: 6 December 2019), 2012.
Nakanishi, M. and Niino, H.: An Improved Mellor–Yamada Level-3 Model: Its
Numerical Stability and Application to a Regional Prediction of Advection
Fog, Bound.-Lay. Meteorol., 119, 397–407, https://doi.org/10.1007/s10546-005-9030-8, 2006.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models. Part I – A discussion of principles, J. Hydrol., 10, 282–290,
https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Nurmi P.: Recommendations on the verification of local weather forecasts,
ECMWF Tech. Mem. 430, available at:
https://www.researchgate.net/publication/238107438_Recommendations_on_the_verification_of_local_weather_forecasts
(last access: 20 November 2019), 2003.
Pilgrim, D. H. and Cordery, I.: Flood runoff, in: Hanbook of Hydrology, editedd by: Maidment, D. R., MCGraw-Hill, Inc., USA, 1992.
Ramos, M. H., van Andel, S. J., and Pappenberger, F.: Do probabilistic forecasts lead to better decisions?, Hydrol. Earth Syst. Sci., 17, 2219–2232, https://doi.org/10.5194/hess-17-2219-2013, 2013.
Ravazzani, G., Amengual, A., Ceppi, A., Homar, V., Romero, R., Lombardi, G.,
and Mancini, M.: Potentialities of ensemble strategies for flood forecasting
over the Milano urban area, J. Hydrol., 539, 237–253, https://doi.org/10.1016/j.jhydrol.2016.05.023, 2016.
Rossa, A. M., Laudanna Del Guerra, F., Borga, M., Zanon, F., Settin, T., and
Leuenberger, D.: Radar-driven high-resolution hydro-meteorological forecasts
of the 26 September 2007 Venice flash flood, J. Hydrol., 394, 230–244, https://doi.org/10.1016/j.jhydrol.2010.08.035, 2010.
Roux, H., Labat, D., Garambois, P.-A., Maubourguet, M.-M., Chorda, J., and
Dartus, D.: A physically-based parsimonious hydrological model for flash
floods in Mediterranean catchments, Nat. Hazards Earth Syst. Sci., 11, 2567–2582, https://doi.org/10.5194/nhess-11-2567-2011, 2011.
Salvayre, H.: Les karsts des Pyrénées-Orientales (Caractères
hydrogéologiques et spéléologiques généraux), in:
Karstologia: revue de karstologie et de spéléologie physique,
no. 13, 1er semestre 1989, 1–10, https://doi.org/10.3406/karst.1989.2199, 1989.
Schwartz, C. S., Kain, J. S., Weiss, S. J., Xue, M., Bright, D. R., Kong, F.,
Thomas, K. W., Levit, J. J., Coniglio, M. C., and Wandishin, M. S.: Toward
improved convection-allowing ensembles: Model physics sensitivities and
optimizing probabilistic guidance with small ensemble membership, Weather
Forecast., 25, 263–280, https://doi.org/10.1175/2009WAF2222267.1, 2010.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D., Duda, M.
G., Huang, X. Y., Wang, W., and Powers, J. G.: A Description of the Advanced
Research WRF Version 3, NCAR Tech. Note NCAR/TN-4751STR, NCAR, Boulder, Colorado, USA, p. 125, 2008.
Siddique, R. and Mejia, A.: Ensemble Streamflow Forecasting across the U.S.
Mid-Atlantic Region with a Distributed Hydrological Model Forced by GEFS
Reforecasts, B. Am. Meteorol. Soc., 18, 1905–1928, https://doi.org/10.1175/JHM-D-16-0243.1, 2017.
Stensrud, D.J., Bao, J.-W., and Warner, T. T.: Using initial and model physics perturbations in short-range ensemble simulations of mesoscale
convective events, Mon. Weather Rev., 128, 2077–2107, 2000.
Tao, W. K., Simpson, J., and McCumber, M.: An ice-water saturation
adjustment, Mon. Weather Rev., 117, 231–235, https://doi.org/10.1175/1520-0493(1989)117<0231:AIWSA>2.0.CO;2, 1989.
Tapiador, F. J., Tao, W. K., Shi, J. J., Angelis, C. F., Martinez, M. A., Marcos, C., Rodríguez, A., and Hou, A.: A comparison of perturbed initial
conditions and multiphysics ensembles in a severe weather episode in Spain,
J. Appl. Meteorol. Clim., 51, 489–504, 2012.
Tewari, M., Chen, F., Wang, W., Dudhia, J., LeMone, M. A., Mitchell, K., Ek,
M., Gayno, G., Wegiel, J., and Cuenca, R. H.: Implementation and verification
of the unified NOAH land surface model in the WRF model, in: 20th Conference
on Weather Analysis and Forecasting/16th Conference on Numerical Weather
Prediction, 11–15 January 2004, Seattle, Washington, 11–15, 2004
Thiessen, A. H.: Precipitation averages for large areas, Mon. Weather Rev.,
39, 1082, https://doi.org/10.1175/1520-0493(1911)39<1082b:PAFLA>2.0.CO;2, 1911.
Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit forecasts of winter precipitation using an improved bulk microphysics
scheme. Part II: Implementation of a new snow parameterization, Mon. Weather
Rev., 136, 5095–5115, https://doi.org/10.1175/2008MWR2387.1, 2008.
Todini, E.: Role and treatment of uncertainty in real-time flood forecasting, Hydrol. Process., 18, 2743–2746, https://doi.org/10.1002/hyp.5687, 2004.
Verkade, J. S., Brown, J. D., Reggiani, P., and Weerts, A. H.: Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales, J. Hydrol., 501, 73–91, https://doi.org/10.1016/j.jhydrol.2013.07.039, 2013.
Verkade, J. S., Brown, J. D., Davids, F., Reggiani, P., and Weerts, A. H.:
Estimating predictive hydrological uncertainty by dressing deterministic and
ensemble forecasts; a comparison, with application to Meuse and Rhine, J. Hydrol., 555, 257–277, https://doi.org/10.1016/j.jhydrol.2017.10.024, 2017.
Zappa, M., Beven, K. J., Bruen, M., Cofiño, A. S., Kok, K., Martin, E., Nurmi, P., Orfila, B., Roulin, E., Schröter, K., Seed, A., Szturc, J., Vehviläinen, B., Germann, U., and Rossa, A.: Propagation of uncertainty from observing systems and NWP into hydrological models: COST-731 Working Group 2, Atmos. Sci. Lett., 11, 83–91, https://doi.org/10.1002/asl.248, 2010.
Zappa, M., Jaun, S., Germann, U., Walser, A., and Fundel, F.: Superposition
of three sources of uncertainties in operational flood forecasting chains,
Atmos. Res., 100, 246–262, https://doi.org/10.1016/j.atmosres.2010.12.005, 2011.
Zappa, M., Fundel, F., and Jaun, S.: A `Peak-Box' approach for supporting
interpretation and verification of operational ensemble peak-flow forecasts,
Hydrol. Process., 27, 117–131, https://doi.org/10.1002/hyp.9521, 2013.
Short summary
The performances of flash-flood forecasts are evaluated using a meteorological model forcing a rainfall-runoff model. Both deterministic (single forecast of the most likely weather) and ensemble forecasts (set or ensemble of forecasts) have been produced on three subcatchments of the eastern Pyrenees exhibiting different rainfall regimes. Results show that both overall discharge forecast and flood warning are improved by the ensemble strategies with respect to the deterministic forecast.
The performances of flash-flood forecasts are evaluated using a meteorological model forcing a...
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