Articles | Volume 20, issue 11
https://doi.org/10.5194/nhess-20-3057-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-20-3057-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2020
Research article |
| 14 Nov 2020
| 14 Nov 2020
Evaluation of EURO-CORDEX (Coordinated Regional Climate Downscaling Experiment for the Euro-Mediterranean area) historical simulations by high-quality observational datasets in southern Italy: insights on drought assessment
David J. Peres
Department of Civil Engineering and Architecture, University of
Catania, Catania, 95123, Italy
Alfonso Senatore
CORRESPONDING AUTHOR
Department of Environmental Engineering, University of Calabria,
Arcavacata di Rende (CS), 87036, Italy
Paola Nanni
Department of Civil Engineering and Architecture, University of
Catania, Catania, 95123, Italy
Antonino Cancelliere
Department of Civil Engineering and Architecture, University of
Catania, Catania, 95123, Italy
Giuseppe Mendicino
Department of Environmental Engineering, University of Calabria,
Arcavacata di Rende (CS), 87036, Italy
Brunella Bonaccorso
Department of Engineering, University of Messina, St Agata, Messina,
98166, Italy
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Nunziarita Palazzolo, Antonino Cancelliere, Robert D. Zofei, and David J. Peres
EGUsphere, https://doi.org/10.5194/egusphere-2025-1590, https://doi.org/10.5194/egusphere-2025-1590, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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We investigate whether ERA5-Land reanalysis soil moisture data, despite their 5-days publication delay, can be useful for improving the performance of relationships providing triggering conditions for landslides. Using artificial neural networks, we find that soil moisture delayed even up to 15 days allows an improvement of performance respect to precipitation-based models, therefore corroborating the potential use of ERA5-Land soil moisture for improving landslide early warning.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
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We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Pierpaolo Distefano, David J. Peres, Pietro Scandura, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 22, 1151–1157, https://doi.org/10.5194/nhess-22-1151-2022, https://doi.org/10.5194/nhess-22-1151-2022, 2022
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In the communication, we introduce the use of artificial neural networks (ANNs) for improving the performance of rainfall thresholds for landslide early warning. Results show how ANNs using rainfall event duration and mean intensity perform significantly better than a classical power law based on the same variables. Adding peak rainfall intensity as input to the ANN improves performance even more. This further demonstrates the potentialities of the proposed machine learning approach.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
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To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
David J. Peres, Antonino Cancelliere, Roberto Greco, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 18, 633–646, https://doi.org/10.5194/nhess-18-633-2018, https://doi.org/10.5194/nhess-18-633-2018, 2018
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We investigate the influence of imprecise identification of triggering instants on landslide early warning thresholds by perturbing an error-free synthetic dataset. Combined impacts of uncertainty with respect to temporal discretization of data and criteria for singling out rainfall events are assessed as well. Results show that thresholds can be significantly affected by these uncertainty sources.
D. J. Peres and A. Cancelliere
Hydrol. Earth Syst. Sci., 18, 4913–4931, https://doi.org/10.5194/hess-18-4913-2014, https://doi.org/10.5194/hess-18-4913-2014, 2014
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A Monte Carlo approach, combining rainfall-stochastic models and hydrological and slope stability physically based models, is used to derive rainfall thresholds of landslide triggering. The uncertainty in threshold assessment related to variability of rainfall intensity within events and to past rainfall (antecedent rainfall) is analyzed and measured via ROC-based indexes, with a specific focus dedicated to the widely used power-law rainfall intensity-duration (I-D) thresholds.
Nunziarita Palazzolo, Antonino Cancelliere, Robert D. Zofei, and David J. Peres
EGUsphere, https://doi.org/10.5194/egusphere-2025-1590, https://doi.org/10.5194/egusphere-2025-1590, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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We investigate whether ERA5-Land reanalysis soil moisture data, despite their 5-days publication delay, can be useful for improving the performance of relationships providing triggering conditions for landslides. Using artificial neural networks, we find that soil moisture delayed even up to 15 days allows an improvement of performance respect to precipitation-based models, therefore corroborating the potential use of ERA5-Land soil moisture for improving landslide early warning.
Alfonso Senatore, Luca Furnari, Gholamreza Nikravesh, Jessica Castagna, and Giuseppe Mendicino
EGUsphere, https://doi.org/10.5194/egusphere-2025-1567, https://doi.org/10.5194/egusphere-2025-1567, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Observations and reanalyses highlight contrasting trends of annual precipitation decline and maximum one-day precipitation increase in Southern Europe. Very high-resolution simulations in a representative Mediterranean sub-region disentangle the role of increasing sea surface temperature so that the projected trend of high precipitation can be summarized as an expected increasing frequency rather than an increasing intensity of impacting overland events.
Vincenzo Carbone, Vincenzo Capparelli, Jessica Castagna, Fabio Lepreti, Alfonso Senatore, and Giuseppe Mendicino
EGUsphere, https://doi.org/10.5194/egusphere-2025-1234, https://doi.org/10.5194/egusphere-2025-1234, 2025
This preprint is open for discussion and under review for Nonlinear Processes in Geophysics (NPG).
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In this work, it is shown that dust storms originating from Sahara and spreading over the Mediterranean Basin are not random events, but rather they are characterized by the presence of time correlations which extend over a timescale range up to about 80 days. The combination of statistical and atmospheric circulation analyses provides a novel and interesting picture of the atmospheric teleconnection between North Africa and the Mediterranean Basin associated with Saharan dust storms.
Nunziarita Palazzolo, David J. Peres, Enrico Creaco, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 23, 279–291, https://doi.org/10.5194/nhess-23-279-2023, https://doi.org/10.5194/nhess-23-279-2023, 2023
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We propose an approach exploiting PCA to derive hydrometeorological landslide-triggering thresholds using multi-layered soil moisture data from ERA5-Land reanalysis. Comparison of thresholds based on single- and multi-layered soil moisture information provides a means to identify the significance of multi-layered data for landslide triggering in a region. In Sicily, the proposed approach yields thresholds with a higher performance than traditional precipitation-based ones (TSS = 0.71 vs. 0.50).
Brunella Bonaccorso, Carmelo Cammalleri, Athanasios Loukas, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 1857–1862, https://doi.org/10.5194/nhess-22-1857-2022, https://doi.org/10.5194/nhess-22-1857-2022, 2022
Pierpaolo Distefano, David J. Peres, Pietro Scandura, and Antonino Cancelliere
Nat. Hazards Earth Syst. Sci., 22, 1151–1157, https://doi.org/10.5194/nhess-22-1151-2022, https://doi.org/10.5194/nhess-22-1151-2022, 2022
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In the communication, we introduce the use of artificial neural networks (ANNs) for improving the performance of rainfall thresholds for landslide early warning. Results show how ANNs using rainfall event duration and mean intensity perform significantly better than a classical power law based on the same variables. Adding peak rainfall intensity as input to the ANN improves performance even more. This further demonstrates the potentialities of the proposed machine learning approach.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
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To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
Benjamin Fersch, Alfonso Senatore, Bianca Adler, Joël Arnault, Matthias Mauder, Katrin Schneider, Ingo Völksch, and Harald Kunstmann
Hydrol. Earth Syst. Sci., 24, 2457–2481, https://doi.org/10.5194/hess-24-2457-2020, https://doi.org/10.5194/hess-24-2457-2020, 2020
Lu Li, Marie Pontoppidan, Stefan Sobolowski, and Alfonso Senatore
Hydrol. Earth Syst. Sci., 24, 771–791, https://doi.org/10.5194/hess-24-771-2020, https://doi.org/10.5194/hess-24-771-2020, 2020
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We assessed the impact of initial conditions on convection-permitting simulations of a flood event over mountainous terrain. The calibrated convection-permitting model performs better than the simpler conceptual model. Discharge is slightly more sensitive to spin-up time than precipitation due to the influence of soil moisture. A maximum of 0.5 m of snow is converted to runoff irrespective of the initial snow depth, and this snowmelt contributes to discharge mostly during peak flow period.
Beatrice Monteleone, Brunella Bonaccorso, and Mario Martina
Nat. Hazards Earth Syst. Sci., 20, 471–487, https://doi.org/10.5194/nhess-20-471-2020, https://doi.org/10.5194/nhess-20-471-2020, 2020
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This study proposes a new drought index that combines meteorological and agricultural drought aspects. The index is scalable, transferable all over the globe, can be updated in near real time and is a
remote-sensing product, since only satellite-based datasets were employed. A set of rules to objectively identify drought events is also implemented. We found that the set of rules, applied together with the new index, outperformed conventional drought indices in identifying droughts in Haiti.
Alfonso Senatore, Luca Furnari, and Giuseppe Mendicino
Hydrol. Earth Syst. Sci., 24, 269–291, https://doi.org/10.5194/hess-24-269-2020, https://doi.org/10.5194/hess-24-269-2020, 2020
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This paper addresses the question of how different resolutions of sea surface temperature (SST) representation affect regional operational hydro-meteorological forecasting chains over coastal Mediterranean catchments by analysing two different severe events that affected southern Italy in 2015. Even if the benefits of high-resolution SST representation are hidden by other sources of uncertainty, the experiments highlight that the impact is non-negligible in most cases.
Elenio Avolio, Ottavio Cavalcanti, Luca Furnari, Alfonso Senatore, and Giuseppe Mendicino
Nat. Hazards Earth Syst. Sci., 19, 1619–1627, https://doi.org/10.5194/nhess-19-1619-2019, https://doi.org/10.5194/nhess-19-1619-2019, 2019
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This is the first scientific report of the flash flood of 20 August 2018 on “Raganello Gorge” (Southern Italy), an extreme event with rather specific features (very localized in space and time), which unfortunately caused 10 victims. The meteo-hydrological dynamics were reasonably reconstructed and the forecasting skills were evaluated using an innovative modelling approach, including fully coupled atmospheric-hydrological modelling and improved representation of Sea Surface Temperature.
David J. Peres, Antonino Cancelliere, Roberto Greco, and Thom A. Bogaard
Nat. Hazards Earth Syst. Sci., 18, 633–646, https://doi.org/10.5194/nhess-18-633-2018, https://doi.org/10.5194/nhess-18-633-2018, 2018
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We investigate the influence of imprecise identification of triggering instants on landslide early warning thresholds by perturbing an error-free synthetic dataset. Combined impacts of uncertainty with respect to temporal discretization of data and criteria for singling out rainfall events are assessed as well. Results show that thresholds can be significantly affected by these uncertainty sources.
Giuseppina Brigandì, Giuseppe Tito Aronica, Brunella Bonaccorso, Roberto Gueli, and Giuseppe Basile
Adv. Geosci., 44, 79–88, https://doi.org/10.5194/adgeo-44-79-2017, https://doi.org/10.5194/adgeo-44-79-2017, 2017
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The paper presents the flood and landslide early warning system HEWS developed by the University of Messina for the
Integrated Multi-Risk Decentralised Functional Centreof Sicily (Italy). HEWS implements a methodology based on the combined use of rainfall thresholds, soil moisture modelling and quantitative precipitation forecast (QPF) to issue alert bulletins both for floods and landslide. The software Delft-FEWS has been adopted as operation platform to support the implementation of HEWS.
Brunella Bonaccorso, Giuseppina Brigandì, and Giuseppe Tito Aronica
Adv. Geosci., 44, 15–22, https://doi.org/10.5194/adgeo-44-15-2017, https://doi.org/10.5194/adgeo-44-15-2017, 2017
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A Monte Carlo approach for deriving flood frequency curves in ungauged basins in Sicily region (Italy) is proposed. The procedure consists of: (i) a regional frequency analysis of extreme rainfall series, combined with Huff curves-based synthetic hyetographs, for design storms and (ii) a rainfall-runoff model, based on the Time-Area technique, to generate synthetic hydrographs. Validation of the procedure is carried out on four gauged river basins in Sicily (Italy) with promising results.
D. J. Peres and A. Cancelliere
Hydrol. Earth Syst. Sci., 18, 4913–4931, https://doi.org/10.5194/hess-18-4913-2014, https://doi.org/10.5194/hess-18-4913-2014, 2014
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A Monte Carlo approach, combining rainfall-stochastic models and hydrological and slope stability physically based models, is used to derive rainfall thresholds of landslide triggering. The uncertainty in threshold assessment related to variability of rainfall intensity within events and to past rainfall (antecedent rainfall) is analyzed and measured via ROC-based indexes, with a specific focus dedicated to the widely used power-law rainfall intensity-duration (I-D) thresholds.
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Causes of the exceptionally high number of fatalities in the Ahr valley, Germany, during the 2021 flood
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Fenglin Xu, Yong Liu, Guoqing Zhang, Ping Zhao, R. Iestyn Woolway, Yani Zhu, Jianting Ju, Tao Zhou, Xue Wang, and Wenfeng Chen
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Hydrodynamic models are vital for predicting floods, like those in Germany's Ahr region in July 2021. We refine the RIM2D model for the Ahr region, analyzing the impact of various factors using Monte Carlo simulations. Accurate parameter assignment is crucial, with channel roughness and resolution playing key roles. Coarser resolutions are suitable for flood extent predictions, aiding early-warning systems. Our work provides guidelines for optimizing hydrodynamic models in the Ahr region.
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Edward R. Schenk, Alex Wood, Allen Haden, Gabriel Baca, Jake Fleishman, and Joe Loverich
Nat. Hazards Earth Syst. Sci., 25, 727–745, https://doi.org/10.5194/nhess-25-727-2025, https://doi.org/10.5194/nhess-25-727-2025, 2025
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Post-wildfire flooding and debris are dangerous and damaging. This study used three different sediment models to predict post-wildfire sediment sources and transport amounts downstream of the 2019 Museum Fire in northern Arizona, USA. The predictions were compared with real-world measurements of sediment that was cleaned out of the city of Flagstaff after four large floods in 2021. Results provide avenues for continued model refinement and an example of potential mitigation strategies.
Belinda Rhein and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 581–589, https://doi.org/10.5194/nhess-25-581-2025, https://doi.org/10.5194/nhess-25-581-2025, 2025
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In July 2021, flooding killed 190 people in Germany, 134 of them in the Ahr valley, making it the deadliest flood in recent German history. The flash flood was extreme in terms of water levels, flow velocities and flood extent, and early warning and evacuation were inadequate. Many died on the ground floor or in the street, with older and impaired individuals especially vulnerable. Clear warnings should urge people to seek safety rather than save belongings, and timely evacuations are essential.
Paola Ceresa, Gianbattista Bussi, Simona Denaro, Gabriele Coccia, Paolo Bazzurro, Mario Martina, Ettore Fagà, Carlos Avelar, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Zhanar Raimbekova, Kanatbek Abdrakhmatov, Sitora Mirzokhonova, Vakhitkhan Ismailov, and Vladimir Belikov
Nat. Hazards Earth Syst. Sci., 25, 403–428, https://doi.org/10.5194/nhess-25-403-2025, https://doi.org/10.5194/nhess-25-403-2025, 2025
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A fully probabilistic flood risk assessment was carried out for five Central Asian countries to support regional and national risk financing and insurance applications. The paper presents the first high-resolution regional-scale transboundary flood risk assessment study in the area aiming to provide tools for decision-making.
Alessia Ferrari, Giulia Passadore, Renato Vacondio, Luca Carniello, Mattia Pivato, Elena Crestani, Francesco Carraro, Francesca Aureli, Sara Carta, Francesca Stumpo, and Paolo Mignosa
EGUsphere, https://doi.org/10.5194/egusphere-2025-216, https://doi.org/10.5194/egusphere-2025-216, 2025
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Between September 17 and 20, 2024, the Lamone River basin in Northern Italy was hit by extreme precipitations. This study adopts the hydrological model Rhyme and the hydrodynamic model PARFLOOD to simulate the hydrological processes in the watershed and the levee-breach-induced inundation affecting the Traversara village. The close match between the resulting flooded areas and the observed ones shows the capability of these numerical models to support the preparedness for at-risk populations.
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
Nat. Hazards Earth Syst. Sci., 25, 335–351, https://doi.org/10.5194/nhess-25-335-2025, https://doi.org/10.5194/nhess-25-335-2025, 2025
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Deep learning methods are increasingly used as surrogates for spatio-temporal flood models but struggle with generalization and speed. Here, we propose a multi-resolution approach using graph neural networks that predicts dike breach floods across different meshes, topographies, and boundary conditions with high accuracy and up to 1000× speed-ups. The model also generalizes to larger more complex case studies with just one additional simulation for fine-tuning.
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
Nat. Hazards Earth Syst. Sci., 25, 247–265, https://doi.org/10.5194/nhess-25-247-2025, https://doi.org/10.5194/nhess-25-247-2025, 2025
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Various combinations of antecedent conditions and precipitation result in floods of varying degrees. Antecedent conditions played a crucial role in generating even large ones. The key predictors and spatial patterns of antecedent conditions leading to flooding at the basin's outlet were distinct. Precipitation and soil moisture from almost all sub-catchments were important for more frequent floods. For rarer events, only the predictors of specific sub-catchments were important.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 4609–4615, https://doi.org/10.5194/nhess-24-4609-2024, https://doi.org/10.5194/nhess-24-4609-2024, 2024
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Floods have caused significant damage in the past. To prepare for such events, we rely on historical data but face issues due to rare rainfall events, lack of data and climate change. Counterfactuals, or
what ifscenarios, simulate historical rainfall in different locations to estimate flood levels. Our new study refines this by deriving more-plausible local scenarios, using the June 2024 Bavaria flood as a case study. This method could improve preparedness for future floods.
Chinh Luu, Giuseppe Forino, Lynda Yorke, Hang Ha, Quynh Duy Bui, Hanh Hong Tran, Dinh Quoc Nguyen, Hieu Cong Duong, and Matthieu Kervyn
Nat. Hazards Earth Syst. Sci., 24, 4385–4408, https://doi.org/10.5194/nhess-24-4385-2024, https://doi.org/10.5194/nhess-24-4385-2024, 2024
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This study presents a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explore multi-hazard assessment and risk through a machine learning modeling approach. The process includes collecting a database of topography, climate, geology, environment, and building data; developing models for multi-hazard assessment and coding in the Google Earth Engine; and producing credible multi-hazard susceptibility and building exposure maps.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci., 24, 4317–4339, https://doi.org/10.5194/nhess-24-4317-2024, https://doi.org/10.5194/nhess-24-4317-2024, 2024
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This work describes the flood damage to cultural heritage (CH) that occurred in September 2022 in central Italy. Datasets related to flood impacts on cultural heritage are rare, and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of flood (i.e. water depth and flow velocity). The results show that current knowledge and datasets are inadequate for risk assessment of CH.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024, https://doi.org/10.5194/nhess-24-4015-2024, 2024
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Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
Nat. Hazards Earth Syst. Sci., 24, 3977–3990, https://doi.org/10.5194/nhess-24-3977-2024, https://doi.org/10.5194/nhess-24-3977-2024, 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 influences of building collapse on rainfall-driven and river-driven floods are different because these two types of floods have different origination and propagation mechanisms.
Yue Zhu, Paolo Burlando, Puay Yok Tan, Christian Geiß, and Simone Fatichi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-207, https://doi.org/10.5194/nhess-2024-207, 2024
Revised manuscript accepted for NHESS
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This study addresses the challenge of accurately predicting floods in regions with limited terrain data. By utilizing a deep learning model, we developed a method that improves the resolution of digital elevation data by fusing low-resolution elevation data with high-resolution satellite imagery. This approach not only substantially enhances flood prediction accuracy, but also holds potential for broader applications in simulating natural hazards that require terrain information.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
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Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect 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 effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci., 24, 3683–3701, https://doi.org/10.5194/nhess-24-3683-2024, https://doi.org/10.5194/nhess-24-3683-2024, 2024
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The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents 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 generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
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We look at how compound flooding from the combination of river flooding and storm tides (storm surge and 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 the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
Claudia Teutschbein, Thomas Grabs, Markus Giese, Andrijana Todorović, and Roland Barthel
EGUsphere, https://doi.org/10.5194/egusphere-2024-2742, https://doi.org/10.5194/egusphere-2024-2742, 2024
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This study explores how droughts develop and spread in high-latitude regions, focusing on the unique conditions found in areas like Scandinavia. It reveals that droughts affect soil, rivers, and groundwater differently, depending on factors like land cover, water availability, and soil properties. The findings highlight the importance of tailored water management strategies to protect resources and ecosystems in these regions, especially as climate change continues to impact weather patterns.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, 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.
Dongyu Feng, Zeli Tan, Darren Engwirda, Jonathan D. Wolfe, Donghui Xu, Chang Liao, Gautam Bisht, James J. Benedict, Tian Zhou, Mithun Deb, Hong-Yi Li, and L. Ruby Leung
EGUsphere, https://doi.org/10.5194/egusphere-2024-2785, https://doi.org/10.5194/egusphere-2024-2785, 2024
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Our study explores how riverine and coastal flooding during hurricanes is influenced by the interaction of atmosphere, land, river and ocean conditions. Using an advanced Earth system model, we simulate Hurricane Irene to evaluate how meteorological and hydrological uncertainties affect flood modeling. Our findings reveal the importance of a multi-component modeling system, how hydrological conditions play critical roles in flood modeling, and greater flood risks if multiple factors are present.
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.
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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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
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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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Shahin Khosh Bin Ghomash, Heiko Apel, Kai Schröter, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-139, https://doi.org/10.5194/nhess-2024-139, 2024
Revised manuscript accepted for NHESS
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This work introduces RIM2D, a hydrodynamic model for precise and rapid flood predictions, ideal for early warning systems. We demonstrate RIM2D's ability to deliver detailed and localized flood forecasts using the June 2023 flood in Braunschweig, Germany, as a case study. This research highlights the readiness of RIM2D and the required hardware for integration into operational flood warning and impact-based forecasting systems.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
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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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
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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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
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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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (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.
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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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 building infrastructure to flooding hazards in Accra, Ghana.
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.
Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-97, https://doi.org/10.5194/nhess-2024-97, 2024
Revised manuscript accepted for NHESS
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The July 2021 flood in Central Europe was one of the deadliest floods in Europe in the past decades and the most expensive flood in Germany. In this paper we show that the hydrological impact of this event in the Ahr valley could have been even worse if the rainfall footprint trajectory was only slightly different. The presented methodology of spatial counterfactuals generates plausible unprecedented events and helps better prepare for future extreme floods.
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.
Cited articles
Adeniyi, M. O. and Dilau, K. A.: Assessing the link between Atlantic
Niño 1 and drought over West Africa using CORDEX regional climate
models, Theor. Appl. Climatol., 131, 937–949,
https://doi.org/10.1007/s00704-016-2018-0, 2018.
Arnell, N., Liu, C., Compagnucci, R., da Cunha, L., Hanaki, K., Howe, C., Mailu, G., Shiklomanov, I., Stakhiv, E., and Doll, P.: Hydrology and Water Resources, in: Climate Change2001: Impacts, Adaptation, and Vulnerability, edited by: McCarthy, J. J., Canziani, O. F., Leary, N. A., Dokken, D. J., and White, K. S.,
Cambridge University Press, Cambridge, UK, 192–234, 2001.
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M.,
Reinhardt, T., Baldauf, M., Seifert, A., Förstner, J., Majewski, D.,
Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical
Weather Prediction with the COSMO Model: Description and Sensitivities, Mon.
Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011.
Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A., Seland, Ø., Drange, H., Roelandt, C., Seierstad, I. A., Hoose, C., and Kristjánsson, J. E.: The Norwegian Earth System Model, NorESM1-M – Part 1: Description and basic evaluation of the physical climate, Geosci. Model Dev., 6, 687–720, https://doi.org/10.5194/gmd-6-687-2013, 2013.
Bonaccorso, B., Cancelliere, A., and Rossi, G.: An analytical formulation of
return period of drought severity, Stoch. Environ. Res. Risk Assess., 17, 157–174,
https://doi.org/10.1007/s00477-003-0127-7, 2003.
Bonaccorso, B., Cancelliere, A., and Rossi, G.: Methods for Drought Analysis
and Forecasting, in: Methods and Applications of Statistics in the
Atmospheric and Earth Sciences, Hoboken, John Wiley and Sons,
ISBN: 9780470503447, 150–184, 2012.
Bonaccorso, B., Peres, D. J., Cancelliere, A., and Rossi, G.: Large Scale
Probabilistic Drought Characterization Over Europe, Water Resour. Manag.,
27, 1675–1692, https://doi.org/10.1007/s11269-012-0177-z, 2013.
Bonaccorso, B., Peres, D. J., Castano, A., and Cancelliere, A.: SPI-Based
Probabilistic Analysis of Drought Areal Extent in Sicily, Water Resour.
Manag., 29, 459–470, https://doi.org/10.1007/s11269-014-0673-4, 2015a.
Bonaccorso, B., Cancelliere, A., and Rossi, G.: Probabilistic forecasting of
drought class transitions in Sicily (Italy) using Standardized Precipitation
Index and North Atlantic Oscillation Index, J. Hydrol., 526, 136–150, https://doi.org/10.1016/j.jhydrol.2015.01.070, 2015b.
Bordi, I. and Sutera, A.: An analysis of drought in Italy in the least fifty
years, Nuovo Cimento C, 25, 185–206, 2002.
Cancelliere, A. and Salas, J.: Drought length properties for periodic
stochastic hydrological data, Water Resour. Res., 10, 1–13, 2004.
Cancelliere, A. and Salas, J.: Drought probabilities and return period for
annual streamflows series, J. Hydrol., 391, 77–89, 2010.
Centro Funzionale Multirischi ARPACAL: Dati Storici, available at: http://www.cfd.calabria.it/, last access: 6 November 2020.
Christensen, J. H., Kjellström, E. K., Giorgi, F., Lenderink, G., and
Rummukainen, M.: Weight assignment in regional climate models, Clim. Res., 44,
179–194, 2010.
Christensen, O. B., Drews, M., Christensen, J. H., Dethloff, K., Ketelsen,
K., Hebestadt, I., and Rinke, A.: The HIRHAM Regional Climate Model Version 5
(beta), Tech. Rep. 06-17, 5, 1–22, 2007.
Colin, J., Déqué, M., Radu, R., and Somot, S.: Sensitivity study of
heavy precipitation in Limited Area Model climate simulations: influence of
the size of the domain and the use of the spectral nudging technique, Tellus
A, 62, 591–604,
https://doi.org/10.1111/j.1600-0870.2010.00467.x, 2010.
Collins, W. J., Bellouin, N., Doutriaux-Boucher, M., Gedney, N., Halloran, P., Hinton, T., Hughes, J., Jones, C. D., Joshi, M., Liddicoat, S., Martin, G., O'Connor, F., Rae, J., Senior, C., Sitch, S., Totterdell, I., Wiltshire, A., and Woodward, S.: Development and evaluation of an Earth-System model – HadGEM2, Geosci. Model Dev., 4, 1051–1075, https://doi.org/10.5194/gmd-4-1051-2011, 2011.
Coordinated Downscaling Experiment – European Domain (EURO-CORDEX): EURO-CORDEX Data, available at: http://www.cfd.calabria.it/, last access: 6 November 2020.
Coppola, E., Giorgi, F., Rauscher, S. A., and Piani, C.: Model weighting based on
mesoscale structures in precipitation and temperature in an ensemble of
regional climate models, Clim. Res., 44, 121–134, 2010.
De Troch, R., Hamdi, R., Van de Vyver, H., Geleyn, J.-F., Termonia, P.,
Troch, R. De, Hamdi, R., Vyver, H. Van de, Geleyn, J.-F., and Termonia, P.:
Multiscale Performance of the ALARO-0 Model for Simulating Extreme Summer
Precipitation Climatology in Belgium, J. Climate, 26, 8895–8915,
https://doi.org/10.1175/JCLI-D-12-00844.1, 2013.
Diasso, U. and Abiodun, B. J.: Drought modes in West Africa and how well
CORDEX RCMs simulate them, Theor. Appl. Climatol., 128, 223–240,
https://doi.org/10.1007/s00704-015-1705-6, 2017.
Di Virgilio, G., Evans, J. P., Di Luca, A., Olson, R., Argüeso, D.,
Kala, J., Andrys, J., Hoffmann, P., Katzfey, J. J., and Rockel, B.:
Evaluating reanalysis-driven CORDEX regional climate models over Australia:
model performance and errors, Clim. Dynam., 53, 2985–3005, https://doi.org/10.1007/s00382-019-04672-w, 2019.
Dufresne, J.-L., Foujols, M.-A., Denvil, S., Caubel, A., Marti, O., Aumont,
O., Balkanski, Y., Bekki, S., Bellenger, H., Benshila, R., Bony, S., Bopp,
L., Braconnot, P., Brockmann, P., Cadule, P., Cheruy, F., Codron, F., Cozic,
A., Cugnet, D., de Noblet, N., Duvel, J.-P., Ethé, C., Fairhead, L.,
Fichefet, T., Flavoni, S., Friedlingstein, P., Grandpeix, J.-Y., Guez, L.,
Guilyardi, E., Hauglustaine, D., Hourdin, F., Idelkadi, A., Ghattas, J.,
Joussaume, S., Kageyama, M., Krinner, G., Labetoulle, S., Lahellec, A.,
Lefebvre, M.-P., Lefevre, F., Levy, C., Li, Z. X., Lloyd, J., Lott, F.,
Madec, G., Mancip, M., Marchand, M., Masson, S., Meurdesoif, Y., Mignot, J.,
Musat, I., Parouty, S., Polcher, J., Rio, C., Schulz, M., Swingedouw, D.,
Szopa, S., Talandier, C., Terray, P., Viovy, N., and Vuichard, N.: Climate
change projections using the IPSL-CM5 Earth System Model: from CMIP3 to
CMIP5, Clim. Dynam., 40, 2123–2165, https://doi.org/10.1007/s00382-012-1636-1,
2013.
Endris, H. S., Omondi, P., Jain, S., Lennard, C., Hewitson, B., Chang'a, L.,
Awange, J. L., Dosio, A., Ketiem, P., Nikulin, G., Panitz, H. J.,
Büchner, M., Stordal, F., and Tazalika, L.: Assessment of the performance
of CORDEX regional climate models in simulating East African precipitation,
J. Climate, 26, 8453–8475, https://doi.org/10.1175/JCLI-D-12-00708.1, 2013.
Foley, A. and Kelman, I.: EURO-CORDEX regional climate model simulation of
precipitation on Scottish islands (1971–2000): model performance and
implications for decision-making in topographically complex regions, Int. J.
Climatol., 38, 1087–1095, https://doi.org/10.1002/joc.5210, 2018.
Gampe, D., Schmid, J., and Ludwig, R.: Impact of Reference Dataset Selection
on RCM Evaluation, Bias Correction, and Resulting Climate Change Signals of
Precipitation, J. Hydrometeorol., 20, 1813–1828, https://doi.org/10.1175/JHM-D-18-0108.1, 2019.
Giorgetta, M. A., Jungclaus, J., Reick, C. H., Legutke, S., Bader, J.,
Böttinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak,
K., Gayler, V., Haak, H., Hollweg, H.-D., Ilyina, T., Kinne, S., Kornblueh,
L., Matei, D., Mauritsen, T., Mikolajewicz, U., Mueller, W., Notz, D.,
Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Schmidt, H.,
Schnur, R., Segschneider, J., Six, K. D., Stockhause, M., Timmreck, C.,
Wegner, J., Widmann, H., Wieners, K.-H., Claussen, M., Marotzke, J., and
Stevens, B.: Climate and carbon cycle changes from 1850 to 2100 in MPI-ESM
simulations for the Coupled Model Intercomparison Project phase 5, J. Adv.
Model. Earth Sy., 5, 572–597, https://doi.org/10.1002/jame.20038, 2013.
Giorgi, F.: Climate change hot-spots, Geophys. Res. Lett., 33, 1–4,
https://doi.org/10.1029/2006GL025734, 2006.
Giorgi, F. and Lionello, P.: Climate change projections for the Mediterranean
region, Global Planet. Change, 63, 90–104,
https://doi.org/10.1016/j.gloplacha.2007.09.005, 2008.
Gonzalez, J. and Valdes, J.: Bivariate drought recurrence analysis using
tree ring reconstructions, J. Hydrol. Eng., 8, 247–258, 2003.
Harris, I., Jones, P. D., Osborn, T. J., and Lister, D. H.: Updated
high-resolution grids of monthly climatic observations – the CRU TS3.10
Dataset, Int. J. Climatol., 34, 623–642, https://doi.org/10.1002/joc.3711, 2014.
Hart, O. E. and Halden, R. U.: On the need to integrate uncertainty into
U.S. water resource planning, Sci. Total Environ., 691, 1262–1270,
https://doi.org/10.1016/j.scitotenv.2019.07.164, 2019.
Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D.,
and New, M.: A European daily high-resolution gridded data set of surface
temperature and precipitation for 1950–2006, J. Geophys. Res.-Atmos.,
113, D20119, https://doi.org/10.1029/2008JD010201, 2008.
Hazeleger, W., Severijns, C., Semmler, T., Ştefănescu, S., Yang, S.,
Wang, X., Wyser, K., Dutra, E., Baldasano, J. M., Bintanja, R., Bougeault,
P., Caballero, R., Ekman, A. M. L., Christensen, J. H., van den Hurk, B.,
Jimenez, P., Jones, C., Kållberg, P., Koenigk, T., McGrath, R., Miranda,
P., van Noije, T., Palmer, T., Parodi, J. A., Schmith, T., Selten, F.,
Storelvmo, T., Sterl, A., Tapamo, H., Vancoppenolle, M., Viterbo, P., and
Willén, U.: EC-Earth, B. Am. Meteorol. Soc., 91, 1357–1364,
https://doi.org/10.1175/2010BAMS2877.1, 2010.
Huntington, T. G.: Evidence for intensification of the global water cycle:
Review and synthesis, J. Hydrol., 319, 83–95,
https://doi.org/10.1016/j.jhydrol.2005.07.003, 2006.
IPCC: Climate Change 2014: Synthesis Report. Contribution of Working Groups
I, II and III to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change,
IPCC, Geneva, Switzerland, 151 pp., 2014.
IPCC: Global warming of 1.5∘C. An IPCC Special Report on the
impacts of global warming of 1.5∘C above pre-industrial levels
and related global greenhouse gas emission pathways, in the context of
strengthening the global response to the threat of climate change,
sustainable development, and efforts to eradicate poverty, edited by:
Masson-Delmotte, V., Zhai, P., Pörtner, H. O., Roberts, D., Skea, J., Shukla, P. R., Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S.,
Matthews, J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T.,
Tignor, M., and Waterfield, T., Intergovernmental Panel on Climate Change, Geneva, Switzerland, 2018.
Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA): Annali idrologici Storici, available at: http://www.acq.isprambiente.it/annalipdf/, last access: 6 November 2020.
Iversen, T., Bentsen, M., Bethke, I., Debernard, J. B., Kirkevåg, A., Seland, Ø., Drange, H., Kristjansson, J. E., Medhaug, I., Sand, M., and Seierstad, I. A.: The Norwegian Earth System Model, NorESM1-M – Part 2: Climate response and scenario projections, Geosci. Model Dev., 6, 389–415, https://doi.org/10.5194/gmd-6-389-2013, 2013.
Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O. B., Bouwer,
L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G.,
Georgopoulou, E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A.,
Hempelmann, N., Jones, C., Keuler, K., Kovats, S., Kröner, N.,
Kotlarski, S., Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C.,
Pfeifer, S., Preuschmann, S., Radermacher, C., Radtke, K., Rechid, D.,
Rounsevell, M., Samuelsson, P., Somot, S., Soussana, J.-F., Teichmann, C.,
Valentini, R., Vautard, R., Weber, B., and Yiou, P.: EURO-CORDEX: new
high-resolution climate change projections for European impact research,
Reg. Environ. Chang., 14, 563–578, https://doi.org/10.1007/s10113-013-0499-2, 2014.
Kjellström, E., Thejll, P., Rummukainen, M., Christensen, J. H., Boberg,
F., Christensen, O. B., and Maule, C. F.: Emerging regional climate change
signals for Europe under varying large-scale circulation conditions, Clim.
Res., 56, 103–119, https://doi.org/10.3354/cr01146, 2013.
Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué, M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E., Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and Wulfmeyer, V.: Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, 2014.
Kotlarski, S., Szabó, P., Herrera, S., Räty, O., Keuler, K., Soares,
P. M., Cardoso, R. M., Bosshard, T., Pagé, C., Boberg, F., Gutiérrez,
J. M., Isotta, F. A., Jaczewski, A., Kreienkamp, F., Liniger, M. A., Lussana,
C., and Pianko-Kluczyńska, K.: Observational uncertainty and regional
climate model evaluation: A pan-European perspective, Int. J. Climatol., 39
3730–3749, 2017.
Llasat, M. C., Marcos, R., Turco, M., Gilabert, J., and Llasat-Botija, M.:
Trends in flash flood events versus convective precipitation in the
Mediterranean region: The case of Catalonia, J. Hydrol., 541, 24–37,
10.1016/j.jhydrol.2016.05.040, 2016.
Mascaro, G., White, D. D., Westerhoff, P., and Bliss, N.: Performance of the
CORDEX-Africa regional climate simulations in representing the hydrological
cycle of the Niger river basin, J. Geophys. Res., 120, 12425–12444,
2015.
Mascaro, G., Viola, F., and Deidda, R.: Evaluation of Precipitation From
EURO-CORDEX Regional Climate Simulations in a Small-Scale Mediterranean
Site, J. Geophys. Res.-Atmos., 123, 1604–1625, https://doi.org/10.1002/2017JD027463,
2018.
Mendicino, G. and Versace P.: Integrated Drought Watch System: A Case Study
in Southern Italy, Water Resour. Manage., 21, 1409–1428,
https://doi.org/10.1007/s11269-006-9091-6, 2007.
Meque, A. and Abiodun, B. J.: Simulating the link between ENSO and summer
drought in Southern Africa using regional climate models, Clim. Dynam.,
44, 1881–1900, https://doi.org/10.1007/s00382-014-2143-3, 2015.
Park, C., Min, S. K., Lee, D., Cha, D. H., Suh, M. S., Kang, H. S., Hong, S.
Y., Lee, D. K., Baek, H. J., Boo, K. O., and Kwon, W. T.: Evaluation of
multiple regional climate models for summer climate extremes over East Asia,
Clim. Dynam., 46, 2469–2486, https://doi.org/10.1007/s00382-015-2713-z, 2016.
Peres, D. J., Caruso, M. F., and Cancelliere, A.: Assessment of
climate-change impacts on precipitation based on selected RCM projections,
European Water, E. W. Publications, 59, 9–15, 2017.
Peres, D. J., Modica, R., and Cancelliere, A.: Assessing Future Impacts of Climate
Change on Water Supply System Performance: Application to the Pozzillo
Reservoir in Sicily, Italy, Water, 11, 2531, https://doi.org/10.3390/w11122531,
2019.
Prein, A., Gobiet, A., Truhetz, H., Keuler, K., Goergen, K., Teichmann, C.,
and Nikulin, G.: Precipitation in the EURO-CORDEX 0.11∘ and
0.44∘ simulations: High resolution, high benefits?, Clim.
Dynam., 46, 383–412, https://doi.org/10.1007/s00382-015-2589-y, 2016.
Rencher, A. C.: Multivariate Statistical Inference and Applications, John
Wiley and Sons, INC., 559 pp., 1998.
Rockel, B., Will, A., and Hense, A.: The Regional Climate Model COSMO-CLM
(CCLM), Meteorol. Z., 17, 347–348,
https://doi.org/10.1127/0941-2948/2008/0309, 2008.
Rossi, G. and Benedini, M.: Water Resources of Italy. Protection, Use and
Control; Springer International Publishing, 365 pp., 2020.
Schmidli, J., Goodess, C. M., Frei, C., Haylock, M. R., Hundecha, Y.,
Ribalaygua, J., and Schmith, T.: Statistical and dynamical downscaling of
precipitation: An evaluation and comparison of scenarios for the European
Alps, J. Geophys. Res.-Atmos., 112, D04105, https://doi.org/10.1029/2005JD007026m 2007.
Sen, Z.: Wet and dry periods of annual flow series, J. Hydraul. Div., 102,
1503–1514, 1976.
Senatore, A., Mendicino, G., Smiatek, G., and Kunstmann, H.: Regional climate
change projections and hydrological impact analysis for a Mediterranean
basin in southern Italy, J. Hydrol., 399, 70–92, 2011.
Senatore, A., Hejabi, S., Mendicino, G., Bazrafshan, J., and Irannejad, P.:
Climate conditions and drought assessment with the Palmer Drought Severity
Index in Iran: evaluation of CORDEX South Asia climate projections
(2070–2099), Clim. Dynam., 52, 865–891, https://doi.org/10.1007/s00382-018-4171-x,
2019.
Senatore, A., Furnari, L., and Mendicino, G.: Impact of high-resolution sea surface temperature representation on the forecast of small Mediterranean catchments' hydrological responses to heavy precipitation, Hydrol. Earth Syst. Sci., 24, 269–291, https://doi.org/10.5194/hess-24-269-2020, 2020.
Smiatek, G. and Kunstmann, H.: Simulating Future Runoff in a Complex Terrain
Alpine Catchment with EURO-CORDEX Data, J. Hydrometeorol., 20,
1925–1940, https://doi.org/10.1175/JHM-D-18-0214.1, 2019.
Smiatek, G., Kunstmann, H., and Senatore, A.: EURO-CORDEX regional climate
model analysis for the Greater Alpine region: performance and expected
future change, J. Geophys. Res.-Atmos., 121, 7710–7728, 2016.
Strandberg, G., Bärring, L., Hansson, U., Jansson, C., Jones, C.,
Kjellström, E., Kolax, M., Kupiainen, M., Nikulin, G., Samuelsson, P.,
Ullerstig, A., and Wang, S.: CORDEX scenarios for Europe from the Rossby
Centre regional climate model RCA4, Report meteorology and climatology No. 116, Swedish Meteorological and Hydrological Institute (SMHI), ISSN: 0347-2116, 2014.
Taylor, K. E.: Summarizing multiple aspects of model performance in a single
diagram, J. Geophys. Res.-Atmos., 106, 7183–7192,
https://doi.org/10.1029/2000JD900719, 2001.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and
the experiment design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Teichmann, C., Eggert, B., Elizalde, A., Haensler, A., Jacob, D., Kumar, P.,
Moseley, C., Pfeifer, S., Rechid, D., Remedio, A. R., Ries, H., Petersen,
J., Preuschmann, S., Raub, T., Saeed, F., Sieck, K., and Weber, T.: How does
a regional climate model modify the projected climate change signal of the
driving GCM: A study over different CORDEX regions using REMO, Atmosphere, 4, 214–236, https://doi.org/10.3390/atmos4020214, 2013.
Torma, C., Giorgi, F., and Coppola, E.: Added value of regional climate
modeling over areas characterized by complex terrain-Precipitation over the
Alps, J. Geophys. Res.-Atmos., 120, 3957–3972, https://doi.org/10.1002/2014JD022781,
2015.
Um, M. J., Kim, Y., and Kim, J.: Evaluating historical drought
characteristics simulated in CORDEX East Asia against observations, Int. J.
Climatol., 37, 4643–4655, https://doi.org/10.1002/joc.5112, 2017.
Versace, P., Ferrari, E., Gabriele, S., and Rossi, F.: Valutazione delle
piene in Calabria, Geodata, 30, 1989 (in Italian).
Voldoire, A., Sanchez-Gomez, E., Salas y Mélia, D., Decharme, B.,
Cassou, C., Sénési, S., Valcke, S., Beau, I., Alias, A., Chevallier,
M., Déqué, M., Deshayes, J., Douville, H., Fernandez, E., Madec, G.,
Maisonnave, E., Moine, M.-P., Planton, S., Saint-Martin, D., Szopa, S.,
Tyteca, S., Alkama, R., Belamari, S., Braun, A., Coquart, L., and Chauvin,
F.: The CNRM-CM5.1 global climate model: description and basic evaluation,
Clim. Dynam., 40, 2091–2121, https://doi.org/10.1007/s00382-011-1259-y, 2013.
van Meijgaard, E., van Ulft, B., van de Berg, W. J., Bosveld, F. C., van den
Hurk, B., Lenderink, G., and Siebesma, A. P.: The KNMI regional atmospheric
climate model RACMO version 2.1 (KNMI TR-302), Tech. Rep., Technical Report
TR-302, 2008.
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A.,
Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J. F., Masui, T.,
Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The
representative concentration pathways: An overview, Climatic Change, 109,
5–31, https://doi.org/10.1007/s10584-011-0148-z, 2011.
von Trentini, F., Leduc, M. and Ludwig, R. Assessing natural variability in
RCM signals: comparison of a multi-model EURO-CORDEX ensemble with a
50-member single model large ensemble. Clim Dyn 53, 1963–1979,
https://doi.org/10.1007/s00382-019-04755-8, 2019.
Wagner, S., Kunstmann, H., and Bardossy, A.: Uncertainties in
water balance estimations due to scarce meteorological information: A case
study for the White Volta catchment in West Africa, IAHS publication, 313,
86–97, 2007.
Wu, F. T., Wang, S. Y., Fu, C. B., Qian, Y., Gao, Y., Lee, D. K., Cha, D. H.,
Tang, J. P., and Hong, S. Y.: Evaluation and projection of summer extreme
precipitation over east Asia in the regional model inter-comparison project,
Clim. Res., 69, 45–58, 2016.
Yevjevich, V.: An objective approach to definitions and investigations of
continental hydrologic droughtsm Hydrology paper 23, Colorado State
University, Fort Collins, Colorado, 1967.
Short summary
Regional climate models (RCMs) are commonly used for high-resolution assessment of climate change impacts. This research assesses the reliability of several RCMs in a Mediterranean area (southern Italy), comparing historic climate and drought characteristics with
high-density and high-quality ground-based observational datasets. We propose a general methodology and identify the more skilful models able to reproduce precipitation and temperature variability as well as drought characteristics.
Regional climate models (RCMs) are commonly used for high-resolution assessment of climate...
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