Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2593-2023
© Author(s) 2023. 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-23-2593-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jul 2023
Research article |
| 21 Jul 2023
| 21 Jul 2023
Trends in heat and cold wave risks for the Italian Trentino-Alto Adige region from 1980 to 2018
Martin Morlot
Department of Civil, Environmental, and
Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, Italy
Simone Russo
Joint Research Centre, European Commission, Via Enrico Fermi 2749,
21027 Ispra, Italy
Luc Feyen
Joint Research Centre, European Commission, Via Enrico Fermi 2749,
21027 Ispra, Italy
Giuseppe Formetta
CORRESPONDING AUTHOR
Department of Civil, Environmental, and
Mechanical Engineering, University of Trento, Via Mesiano 77, 38123 Trento, Italy
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Dominik Paprotny, Belinda Rhein, Michalis I. Vousdoukas, Paweł Terefenko, Francesco Dottori, Simon Treu, Jakub Śledziowski, Luc Feyen, and Heidi Kreibich
Hydrol. Earth Syst. Sci., 28, 3983–4010, https://doi.org/10.5194/hess-28-3983-2024, https://doi.org/10.5194/hess-28-3983-2024, 2024
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Long-term trends in flood losses are regulated by multiple factors, including climate variation, population and economic growth, land-use transitions, reservoir construction, and flood risk reduction measures. Here, we reconstruct the factual circumstances in which almost 15 000 potential riverine, coastal and compound floods in Europe occurred between 1950 and 2020. About 10 % of those events are reported to have caused significant socioeconomic impacts.
Aloïs Tilloy, Dominik Paprotny, Stefania Grimaldi, Goncalo Gomes, Alessandra Bianchi, Stefan Lange, Hylke Beck, and Luc Feyen
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-41, https://doi.org/10.5194/essd-2024-41, 2024
Revised manuscript accepted for ESSD
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This article presents a reanalysis of Europe's rivers streamflow for the period 1950–2020, using a state-of-the-art hydrological simulation framework. The dataset, called HERA (Hydrological European ReAnalysis), uses detailed information about the landscape, climate, and human activities to estimate river flow. HERA can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources, flood and drought risks.
Shima Azimi, Christian Massari, Giuseppe Formetta, Silvia Barbetta, Alberto Tazioli, Davide Fronzi, Sara Modanesi, Angelica Tarpanelli, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 27, 4485–4503, https://doi.org/10.5194/hess-27-4485-2023, https://doi.org/10.5194/hess-27-4485-2023, 2023
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We analyzed the water budget of nested karst catchments using simple methods and modeling. By utilizing the available data on precipitation and discharge, we were able to determine the response lag-time by adopting new techniques. Additionally, we modeled snow cover dynamics and evapotranspiration with the use of Earth observations, providing a concise overview of the water budget for the basin and its subbasins. We have made the data, models, and workflows accessible for further study.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
Hydrol. Earth Syst. Sci., 27, 1133–1149, https://doi.org/10.5194/hess-27-1133-2023, https://doi.org/10.5194/hess-27-1133-2023, 2023
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Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
Riccardo Rigon, Giuseppe Formetta, Marialaura Bancheri, Niccolò Tubini, Concetta D'Amato, Olaf David, and Christian Massari
Hydrol. Earth Syst. Sci., 26, 4773–4800, https://doi.org/10.5194/hess-26-4773-2022, https://doi.org/10.5194/hess-26-4773-2022, 2022
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The
Digital Earth(DE) metaphor is very useful for both end users and hydrological modelers. We analyse different categories of models, with the view of making them part of a Digital eARth Twin Hydrology system (called DARTH). We also stress the idea that DARTHs are not models in and of themselves, rather they need to be built on an appropriate information technology infrastructure. It is remarked that DARTHs have to, by construction, support the open-science movement and its ideas.
Kees C. H. van Ginkel, Francesco Dottori, Lorenzo Alfieri, Luc Feyen, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021, https://doi.org/10.5194/nhess-21-1011-2021, 2021
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This study presents a state-of-the-art approach to assess flood damage for each unique road segment in Europe. We find a mean total flood risk of EUR 230 million per year for all individual road segments combined. We identify flood hotspots in the Alps, along the Sava River, and on the Scandinavian Peninsula. To achieve this, we propose a new set of damage curves for roads and challenge the community to validate and improve these. Analysis of network effects can be easily added to our analysis.
Carmelo Cammalleri, Gustavo Naumann, Lorenzo Mentaschi, Bernard Bisselink, Emiliano Gelati, Ad De Roo, and Luc Feyen
Hydrol. Earth Syst. Sci., 24, 5919–5935, https://doi.org/10.5194/hess-24-5919-2020, https://doi.org/10.5194/hess-24-5919-2020, 2020
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Climate change is anticipated to alter the demand and supply of water at the earth's surface. This study shows how hydrological droughts will change across Europe with increasing global warming levels, showing that at 3 K global warming an additional 11 million people and 4.5 ×106 ha of agricultural land will be exposed to droughts every year, on average. These effects are mostly located in the Mediterranean and Atlantic regions of Europe.
Barry Hankin, Ian Hewitt, Graham Sander, Federico Danieli, Giuseppe Formetta, Alissa Kamilova, Ann Kretzschmar, Kris Kiradjiev, Clint Wong, Sam Pegler, and Rob Lamb
Nat. Hazards Earth Syst. Sci., 20, 2567–2584, https://doi.org/10.5194/nhess-20-2567-2020, https://doi.org/10.5194/nhess-20-2567-2020, 2020
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With growing support for nature-based solutions to reduce flooding by local communities, government authorities and international organisations, it is still important to improve how we assess risk reduction. We demonstrate an efficient, simplified 1D network model that allows us to explore the
whole-systemresponse of numerous leaky barriers placed in different stream networks, whilst considering utilisation, synchronisation effects and cascade failure, and we provide advice on their siting.
Monika J. Barcikowska, Sarah B. Kapnick, Lakshmi Krishnamurty, Simone Russo, Annalisa Cherchi, and Chris K. Folland
Earth Syst. Dynam., 11, 161–181, https://doi.org/10.5194/esd-11-161-2020, https://doi.org/10.5194/esd-11-161-2020, 2020
Giovanni Forzieri, Matteo Pecchi, Marco Girardello, Achille Mauri, Marcus Klaus, Christo Nikolov, Marius Rüetschi, Barry Gardiner, Julián Tomaštík, David Small, Constantin Nistor, Donatas Jonikavicius, Jonathan Spinoni, Luc Feyen, Francesca Giannetti, Rinaldo Comino, Alessandro Wolynski, Francesco Pirotti, Fabio Maistrelli, Ionut Savulescu, Stéphanie Wurpillot-Lucas, Stefan Karlsson, Karolina Zieba-Kulawik, Paulina Strejczek-Jazwinska, Martin Mokroš, Stefan Franz, Lukas Krejci, Ionel Haidu, Mats Nilsson, Piotr Wezyk, Filippo Catani, Yi-Ying Chen, Sebastiaan Luyssaert, Gherardo Chirici, Alessandro Cescatti, and Pieter S. A. Beck
Earth Syst. Sci. Data, 12, 257–276, https://doi.org/10.5194/essd-12-257-2020, https://doi.org/10.5194/essd-12-257-2020, 2020
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Strong winds may uproot and break trees and represent a risk for forests. Despite the importance of this natural disturbance and possible intensification in view of climate change, spatial information about wind-related impacts is currently missing on a pan-European scale. We present a new database of wind disturbances in European forests comprised of more than 80 000 records over the period 2000–2018. Our database is a unique spatial source for the study of forest disturbances at large scales.
Michalis I. Vousdoukas, Dimitrios Bouziotas, Alessio Giardino, Laurens M. Bouwer, Lorenzo Mentaschi, Evangelos Voukouvalas, and Luc Feyen
Nat. Hazards Earth Syst. Sci., 18, 2127–2142, https://doi.org/10.5194/nhess-18-2127-2018, https://doi.org/10.5194/nhess-18-2127-2018, 2018
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We examine sources of epistemic uncertainty in coastal flood risk models. We find that uncertainty from sea level estimations can be higher than that related to greenhouse gas emissions or climate prediction errors. Of comparable importance is information on coastal protection levels and the topography. In the absence of large datasets with sufficient resolution and accuracy, the last two factors are the main bottlenecks in terms of estimating coastal flood risks at large scales.
Marialaura Bancheri, Francesco Serafin, Michele Bottazzi, Wuletawu Abera, Giuseppe Formetta, and Riccardo Rigon
Geosci. Model Dev., 11, 2189–2207, https://doi.org/10.5194/gmd-11-2189-2018, https://doi.org/10.5194/gmd-11-2189-2018, 2018
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This paper presents a new modeling package for the spatial interpolation of environmental variables. It includes 11 theoretical semivariogram models and four types of Kriging interpolations. To test the performances of the package, two applications are performed: the interpolation of 1 year of temperatures
and a rainfall event. Both interpolations gave good results. In comparison with gstat, the SIK package proved to be a good alternative, regarding both the easiness of use and the accuracy.
Dominik Paprotny, Michalis I. Vousdoukas, Oswaldo Morales-Nápoles, Sebastiaan N. Jonkman, and Luc Feyen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-132, https://doi.org/10.5194/hess-2018-132, 2018
Preprint withdrawn
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Xiaowei Zhao, Tianzeng Yang, Hongbo Zhang, Tian Lan, Chaowei Xue, Tongfang Li, Zhaoxia Ye, Zhifang Yang, and Yurou Zhang
Nat. Hazards Earth Syst. Sci., 24, 3479–3495, https://doi.org/10.5194/nhess-24-3479-2024, https://doi.org/10.5194/nhess-24-3479-2024, 2024
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To effectively track and identify droughts, we developed a novel integrated drought index that combines the effects of precipitation, temperature, and soil moisture on drought. After comparison and verification, the integrated drought index shows superior performance compared to a single meteorological drought index or agricultural drought index in terms of drought identification.
Julia Moemken, Inovasita Alifdini, Alexandre M. Ramos, Alexandros Georgiadis, Aidan Brocklehurst, Lukas Braun, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 24, 3445–3460, https://doi.org/10.5194/nhess-24-3445-2024, https://doi.org/10.5194/nhess-24-3445-2024, 2024
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European windstorms regularly cause damage to natural and human-made environments, leading to high socio-economic losses. For the first time, we compare estimates of these losses using a meteorological loss index (LI) and the insurance loss (catastrophe) model of Aon Impact Forecasting. We find that LI underestimates high-impact windstorms compared to the insurance model. Nonetheless, due to its simplicity, LI is an effective index, suitable for estimating impacts and ranking storm events.
Baruch Ziv, Uri Dayan, Lidiya Shendrik, and Elyakom Vadislavsky
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The train effect is related to convective cells that pass over the same place. Trains produce heavy rainfall and sometimes floods and are reported in North America during spring and summer. In Israel, 17 trains associated with Cyprus lows were identified by radar images and were found within the cold sector south of the low center and in the left flank of a maximum wind belt; they cross the Israeli coast, with a mean length of 45 km; last 1–3 h; and yield 35 mm of rainfall up to 60 mm.
Andrew Brown, Andrew Dowdy, and Todd P. Lane
Nat. Hazards Earth Syst. Sci., 24, 3225–3243, https://doi.org/10.5194/nhess-24-3225-2024, https://doi.org/10.5194/nhess-24-3225-2024, 2024
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Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass
Nat. Hazards Earth Syst. Sci., 24, 3035–3047, https://doi.org/10.5194/nhess-24-3035-2024, https://doi.org/10.5194/nhess-24-3035-2024, 2024
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Florian Ruff and Stephan Pfahl
Nat. Hazards Earth Syst. Sci., 24, 2939–2952, https://doi.org/10.5194/nhess-24-2939-2024, https://doi.org/10.5194/nhess-24-2939-2024, 2024
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High-impact river floods are often caused by extreme precipitation. Flood protection relies on reliable estimates of the return values. Observational time series are too short for a precise calculation. Here, 100-year return values of daily precipitation are estimated on a global grid based on a large set of model-generated precipitation events from ensemble weather prediction. The statistical uncertainties in the return values can be substantially reduced compared to observational estimates.
Erik Holmgren and Erik Kjellström
Nat. Hazards Earth Syst. Sci., 24, 2875–2893, https://doi.org/10.5194/nhess-24-2875-2024, https://doi.org/10.5194/nhess-24-2875-2024, 2024
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Associating extreme weather events with changes in the climate remains difficult. We have explored two ways these relationships can be investigated: one using a more common method and one relying solely on long-running records of meteorological observations.
Our results show that while both methods lead to similar conclusions for two recent weather events in Sweden, the commonly used method risks underestimating the strength of the connection between the event and changes to the climate.
François Bouttier and Hugo Marchal
Nat. Hazards Earth Syst. Sci., 24, 2793–2816, https://doi.org/10.5194/nhess-24-2793-2024, https://doi.org/10.5194/nhess-24-2793-2024, 2024
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Weather prediction uncertainties can be described as sets of possible scenarios – a technique called ensemble prediction. Our machine learning technique translates them into more easily interpretable scenarios for various users, balancing the detection of high precipitation with false alarms. Key parameters are precipitation intensity and space and time scales of interest. We show that the approach can be used to facilitate warnings of extreme precipitation.
Joy Ommer, Jessica Neumann, Milan Kalas, Sophie Blackburn, and Hannah L. Cloke
Nat. Hazards Earth Syst. Sci., 24, 2633–2646, https://doi.org/10.5194/nhess-24-2633-2024, https://doi.org/10.5194/nhess-24-2633-2024, 2024
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What’s the worst that could happen? Recent floods are often claimed to be beyond our imagination. Imagination is the picturing of a situation in our mind and the emotions that we connect with this situation. But why is this important for disasters? This survey found that when we cannot imagine a devastating flood, we are not preparing in advance. Severe-weather forecasts and warnings need to advance in order to trigger our imagination of what might happen and enable us to start preparing.
Georgy Ayzel and Maik Heistermann
EGUsphere, https://doi.org/10.5194/egusphere-2024-1945, https://doi.org/10.5194/egusphere-2024-1945, 2024
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Forecasting rainfall over the next hour is an essential feature of early warning systems. Deep learning has emerged as a powerful alternative to conventional nowcasting technologies, but it still struggles to adequately predict impact-relevant heavy rainfall. We think that DL could do much better if the training tasks were defined more specifically, and that such a specification presents an opportunity to better align the output of nowcasting models with actual user requirements.
Raphael Portmann, Timo Schmid, Leonie Villiger, David N. Bresch, and Pierluigi Calanca
Nat. Hazards Earth Syst. Sci., 24, 2541–2558, https://doi.org/10.5194/nhess-24-2541-2024, https://doi.org/10.5194/nhess-24-2541-2024, 2024
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The study presents an open-source model to determine the occurrence of hail damage to field crops and grapevines after hailstorms in Switzerland based on radar, agricultural land use data, and insurance damage reports. The model performs best at 8 km resolution for field crops and 1 km for grapevine and in the main production areas. Highlighting performance trade-offs and the relevance of user needs, the study is a first step towards the assessment of risk and damage for crops in Switzerland.
Dieter Roel Poelman, Hannes Kohlmann, and Wolfgang Schulz
Nat. Hazards Earth Syst. Sci., 24, 2511–2522, https://doi.org/10.5194/nhess-24-2511-2024, https://doi.org/10.5194/nhess-24-2511-2024, 2024
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EUCLID's lightning data unveil distinctive ground strike point (GSP) patterns in Europe. Over seas, GSPs per flash surpass inland, reaching a minimum in the Alps. Mountainous areas like the Alps and Pyrenees have the closest GSP separation, highlighting terrain elevation's impact. The daily peak current correlates with average GSPs per flash. These findings could significantly influence lightning protection measures, urging a focus on GSP density rather than flash density for risk assessment.
Nicola Loglisci, Giorgio Boni, Arianna Cauteruccio, Francesco Faccini, Massimo Milelli, Guido Paliaga, and Antonio Parodi
Nat. Hazards Earth Syst. Sci., 24, 2495–2510, https://doi.org/10.5194/nhess-24-2495-2024, https://doi.org/10.5194/nhess-24-2495-2024, 2024
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We analyse the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in Genoa. Rainfall observations were made using rain gauge networks based on either official networks or citizen science networks. The merged analysis stresses the spatial variability in the precipitation, which cannot be captured by the current spatial density of authoritative stations. Results show that at minimal distances the variations in cumulated rainfall over a sub-hourly duration are significant.
Ellina Agayar, Franziska Aemisegger, Moshe Armon, Alexander Scherrmann, and Heini Wernli
Nat. Hazards Earth Syst. Sci., 24, 2441–2459, https://doi.org/10.5194/nhess-24-2441-2024, https://doi.org/10.5194/nhess-24-2441-2024, 2024
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This study presents the results of a climatological investigation of extreme precipitation events (EPEs) in Ukraine for the period 1979–2019. During all seasons EPEs are associated with pronounced upper-level potential vorticity (PV) anomalies. In addition, we find distinct seasonal and regional differences in moisture sources. Several extreme precipitation cases demonstrate the importance of these processes, complemented by a detailed synoptic analysis.
Antonio Giordani, Michael Kunz, Kristopher M. Bedka, Heinz Jürgen Punge, Tiziana Paccagnella, Valentina Pavan, Ines M. L. Cerenzia, and Silvana Di Sabatino
Nat. Hazards Earth Syst. Sci., 24, 2331–2357, https://doi.org/10.5194/nhess-24-2331-2024, https://doi.org/10.5194/nhess-24-2331-2024, 2024
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To improve the challenging representation of hazardous hailstorms, a proxy for hail frequency based on satellite detections, convective parameters from high-resolution reanalysis, and crowd-sourced reports is tested and presented. Hail likelihood peaks in mid-summer at 15:00 UTC over northern Italy and shows improved agreement with observations compared to previous estimates. By separating ambient signatures based on hail severity, enhanced appropriateness for large-hail occurrence is found.
Claire L. Ryder, Clément Bézier, Helen F. Dacre, Rory Clarkson, Vassilis Amiridis, Eleni Marinou, Emmanouil Proestakis, Zak Kipling, Angela Benedetti, Mark Parrington, Samuel Rémy, and Mark Vaughan
Nat. Hazards Earth Syst. Sci., 24, 2263–2284, https://doi.org/10.5194/nhess-24-2263-2024, https://doi.org/10.5194/nhess-24-2263-2024, 2024
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Desert dust poses a hazard to aircraft via degradation of engine components. This has financial implications for the aviation industry and results in increased fuel burn with climate impacts. Here we quantify dust ingestion by aircraft engines at airports worldwide. We find Dubai and Delhi in summer are among the dustiest airports, where substantial engine degradation would occur after 1000 flights. Dust ingestion can be reduced by changing take-off times and the altitude of holding patterns.
Khalil Ur Rahman, Songhao Shang, Khaled Saeed Balkhair, Hamza Farooq Gabriel, Khan Zaib Jadoon, and Kifayat Zaman
Nat. Hazards Earth Syst. Sci., 24, 2191–2214, https://doi.org/10.5194/nhess-24-2191-2024, https://doi.org/10.5194/nhess-24-2191-2024, 2024
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This paper assesses the impact of drought (meteorological drought) on the hydrological alterations in major rivers of the Indus Basin. Threshold regression and range of variability analysis are used to determine the drought severity and times where drought has caused low flows and extreme low flows (identified using indicators of hydrological alterations). Moreover, this study also examines the degree of alterations in river flows due to drought using the hydrological alteration factor.
Alexander Frank Vessey, Kevin I. Hodges, Len C. Shaffrey, and Jonathan J. Day
Nat. Hazards Earth Syst. Sci., 24, 2115–2132, https://doi.org/10.5194/nhess-24-2115-2024, https://doi.org/10.5194/nhess-24-2115-2024, 2024
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The risk posed to ships by Arctic cyclones has seldom been quantified due to the lack of publicly available historical Arctic ship track data. This study investigates historical Arctic ship tracks, cyclone tracks, and shipping incident reports to determine the number of shipping incidents caused by the passage of Arctic cyclones. Results suggest that Arctic cyclones have not been hazardous to ships and that ships are resilient to the rough sea conditions caused by Arctic cyclones.
Joona Samuel Cornér, Clément Gael Francis Bouvier, Benjamin Doiteau, Florian Pantillon, and Victoria Anne Sinclair
EGUsphere, https://doi.org/10.5194/egusphere-2024-1749, https://doi.org/10.5194/egusphere-2024-1749, 2024
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Classification reduces the considerable variability between extratropical cyclones (ETC) and thus simplifies studying their representation in climate models and changes in the future climate. In this paper we present an objective classification of ETCs using measures of ETC intensity. This is motivated by the aim of finding a set of ETC intensity measures which together comprehensively describe both the dynamical and impact-relevant nature of ETC intensity.
Niklas Ebers, Kai Schröter, and Hannes Müller-Thomy
Nat. Hazards Earth Syst. Sci., 24, 2025–2043, https://doi.org/10.5194/nhess-24-2025-2024, https://doi.org/10.5194/nhess-24-2025-2024, 2024
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Future changes in sub-daily rainfall extreme values are essential in various hydrological fields, but climate scenarios typically offer only daily resolution. One solution is rainfall generation. With a temperature-dependent rainfall generator climate scenario data were disaggregated to 5 min rainfall time series for 45 locations across Germany. The analysis of the future 5 min rainfall time series showed an increase in the rainfall extremes values for rainfall durations of 5 min and 1 h.
Ran Zhu and Lei Chen
Nat. Hazards Earth Syst. Sci., 24, 1937–1950, https://doi.org/10.5194/nhess-24-1937-2024, https://doi.org/10.5194/nhess-24-1937-2024, 2024
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There is a positive correlation between the frequency of Jianghuai cyclone activity and precipitation during the Meiyu period. Its occurrence frequency has an obvious decadal variation, which corresponds well with the quasi-periodic and decadal variation in precipitation during the Meiyu period. This study provides a reference for the long-term and short-term forecasting of precipitation during the Meiyu period.
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024, https://doi.org/10.5194/nhess-24-1657-2024, 2024
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The study provides an in-depth analysis of a severe downburst event in Sânnicolau Mare, Romania, utilizing an analytical model and optimization algorithm. The goal is to explore a multitude of generating solutions and to identify potential alternatives to the optimal solution. Advanced data analysis techniques help to discern three main distinct storm scenarios. For this particular event, the best overall solution from the optimization algorithm shows promise in reconstructing the downburst.
Monica Ionita, Petru Vaideanu, Bogdan Antonescu, Catalin Roibu, Qiyun Ma, and Viorica Nagavciuc
EGUsphere, https://doi.org/10.5194/egusphere-2024-1207, https://doi.org/10.5194/egusphere-2024-1207, 2024
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Eastern Europe's heatwave history is explored from 1885 to 2023, with a focus on pre-1960 events. The study reveals two periods with more frequent and intense heatwaves (HW): 1920s–1960s and 1980s–present. The research highlights the importance of a long-term perspective, revealing that extreme heat events have occurred throughout the entire study period and it emphasizes the combined influence of climate change and natural variations on increasing HW severity.
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024, https://doi.org/10.5194/nhess-24-1555-2024, 2024
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We combine climate projections from 30 climate models with a climate risk model to project winter windstorm damages in Europe under climate change. We study the uncertainty and sensitivity factors related to the modelling of hazard, exposure and vulnerability. We emphasize high uncertainties in the damage projections, with climate models primarily driving the uncertainty. We find climate change reshapes future European windstorm risk by altering damage locations and intensity.
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024, https://doi.org/10.5194/nhess-24-1539-2024, 2024
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Previous studies found that climate models can predict storm activity in the German Bight well for averages of 5–10 years but struggle in predicting the next winter season. Here, we improve winter storm activity predictions by linking them to physical phenomena that occur before the winter. We guess the winter storm activity from these phenomena and discard model solutions that stray too far from the guess. The remaining solutions then show much higher prediction skill for storm activity.
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024, https://doi.org/10.5194/nhess-24-1501-2024, 2024
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Over Europe, 2022 was truly exceptional in terms of extreme heat conditions, both in terms of temperature anomalies and their temporal and spatial extent. The satellite all-sky land surface temperature (LST) is used to provide a climatological context to extreme heat events. Where drought conditions prevail, LST anomalies are higher than 2 m air temperature anomalies. ERA5-Land does not represent this effect correctly due to a misrepresentation of vegetation anomalies.
Rudolf Brázdil, Kateřina Chromá, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 1437–1457, https://doi.org/10.5194/nhess-24-1437-2024, https://doi.org/10.5194/nhess-24-1437-2024, 2024
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The official mortality data in the Czech Republic in 1919–2022 are used to show long-term fluctuations in the number of fatalities caused by excessive natural cold and heat, lightning, natural disasters, and falls on ice/snow, as well as the sex and age of the deceased, based on certain meteorological, historical, and socioeconomic factors that strongly influence changes in the number and structure of such fatalities. Knowledge obtained is usable in risk management for the preservation of lives.
Ben Maybee, Cathryn E. Birch, Steven J. Böing, Thomas Willis, Linda Speight, Aurore N. Porson, Charlie Pilling, Kay L. Shelton, and Mark A. Trigg
Nat. Hazards Earth Syst. Sci., 24, 1415–1436, https://doi.org/10.5194/nhess-24-1415-2024, https://doi.org/10.5194/nhess-24-1415-2024, 2024
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This paper presents the development and verification of FOREWARNS, a novel method for regional-scale forecasting of surface water flooding. We detail outcomes from a workshop held with UK forecast users, who indicated they valued the forecasts and would use them to complement national guidance. We use results of objective forecast tests against flood observations over northern England to show that this confidence is justified and that FOREWARNS meets the needs of UK flood responders.
Ashbin Jaison, Asgeir Sorteberg, Clio Michel, and Øyvind Breivik
Nat. Hazards Earth Syst. Sci., 24, 1341–1355, https://doi.org/10.5194/nhess-24-1341-2024, https://doi.org/10.5194/nhess-24-1341-2024, 2024
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The present study uses daily insurance losses and wind speeds to fit storm damage functions at the municipality level of Norway. The results show that the damage functions accurately estimate losses associated with extreme damaging events and can reconstruct their spatial patterns. However, there is no single damage function that performs better than another. A newly devised damage–no-damage classifier shows some skill in predicting extreme damaging events.
Madlen Peter, Henning W. Rust, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 24, 1261–1285, https://doi.org/10.5194/nhess-24-1261-2024, https://doi.org/10.5194/nhess-24-1261-2024, 2024
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The paper introduces a statistical modeling approach describing daily extreme precipitation in Germany more accurately by including changes within the year and between the years simultaneously. The changing seasonality over years is regionally divergent and mainly weak. However, some regions stand out with a more pronounced linear rise of summer intensities, indicating a possible climate change signal. Improved modeling of extreme precipitation is beneficial for risk assessment and adaptation.
Faye Hulton and David M. Schultz
Nat. Hazards Earth Syst. Sci., 24, 1079–1098, https://doi.org/10.5194/nhess-24-1079-2024, https://doi.org/10.5194/nhess-24-1079-2024, 2024
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Large hail devastates crops and property and can injure and kill people and livestock. Hail reports are collected by individual countries, so understanding where and when large hail occurs across Europe is an incomplete undertaking. We use the European Severe Weather Database to evaluate the quality of reports by year and by country since 2000. Despite its short record, the dataset appears to represent aspects of European large-hail climatology reliably.
Patrick Olschewski, Mame Diarra Bousso Dieng, Hassane Moutahir, Brian Böker, Edwin Haas, Harald Kunstmann, and Patrick Laux
Nat. Hazards Earth Syst. Sci., 24, 1099–1134, https://doi.org/10.5194/nhess-24-1099-2024, https://doi.org/10.5194/nhess-24-1099-2024, 2024
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We applied a multivariate and dependency-preserving bias correction method to climate model output for the Greater Mediterranean Region and investigated potential changes in false-spring events (FSEs) and heat–drought compound events (HDCEs). Results project an increase in the frequency of FSEs in middle and late spring as well as increases in frequency, intensity, and duration for HDCEs. This will potentially aggravate the risk of crop loss and failure and negatively impact food security.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 24, 907–927, https://doi.org/10.5194/nhess-24-907-2024, https://doi.org/10.5194/nhess-24-907-2024, 2024
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Improvements in numerical weather prediction models make it possible to warn of hazardous weather situations. The incorporation of new observations from personal weather stations into the French limited-area model is evaluated. It leads to a significant improvement in the modelling of the surface pressure field up to 9 h ahead. Their incorporation improves the location and intensity of the heavy precipitation event that occurred in the South of France in September 2021.
Timo Schmid, Raphael Portmann, Leonie Villiger, Katharina Schröer, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 847–872, https://doi.org/10.5194/nhess-24-847-2024, https://doi.org/10.5194/nhess-24-847-2024, 2024
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Hailstorms cause severe damage to buildings and cars, which motivates a detailed risk assessment. Here, we present a new open-source hail damage model based on radar data in Switzerland. The model successfully estimates the correct order of magnitude of car and building damages for most large hail events over 20 years. However, large uncertainty remains in the geographical distribution of modelled damages, which can be improved for individual events by using crowdsourced hail reports.
Colin Raymond, Anamika Shreevastava, Emily Slinskey, and Duane Waliser
Nat. Hazards Earth Syst. Sci., 24, 791–801, https://doi.org/10.5194/nhess-24-791-2024, https://doi.org/10.5194/nhess-24-791-2024, 2024
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How can we systematically understand what causes high levels of atmospheric humidity and thus heat stress? Here we argue that atmospheric rivers can be a useful tool, based on our finding that in several US regions, atmospheric rivers and humid heat occur close together in space and time. Most typically, an atmospheric river transports moisture which heightens heat stress, with precipitation following a day later. These effects tend to be larger for stronger and more extensive systems.
Joseph Smith, Cathryn Birch, John Marsham, Simon Peatman, Massimo Bollasina, and George Pankiewicz
Nat. Hazards Earth Syst. Sci., 24, 567–582, https://doi.org/10.5194/nhess-24-567-2024, https://doi.org/10.5194/nhess-24-567-2024, 2024
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Nowcasting uses observations to make predictions of the atmosphere on short timescales and is particularly applicable to the Maritime Continent, where storms rapidly develop and cause natural disasters. This paper evaluates probabilistic and deterministic satellite nowcasting algorithms over the Maritime Continent. We show that the probabilistic approach is most skilful at small scales (~ 60 km), whereas the deterministic approach is most skilful at larger scales (~ 200 km).
Julia Miller, Andrea Böhnisch, Ralf Ludwig, and Manuela I. Brunner
Nat. Hazards Earth Syst. Sci., 24, 411–428, https://doi.org/10.5194/nhess-24-411-2024, https://doi.org/10.5194/nhess-24-411-2024, 2024
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We assess the impacts of climate change on fire danger for 1980–2099 in different landscapes of central Europe, using the Canadian Forest Fire Weather Index (FWI) as a fire danger indicator. We find that today's 100-year FWI event will occur every 30 years by 2050 and every 10 years by 2099. High fire danger (FWI > 21.3) becomes the mean condition by 2099 under an RCP8.5 scenario. This study highlights the potential for severe fire events in central Europe from a meteorological perspective.
Clemens Schwingshackl, Anne Sophie Daloz, Carley Iles, Kristin Aunan, and Jana Sillmann
Nat. Hazards Earth Syst. Sci., 24, 331–354, https://doi.org/10.5194/nhess-24-331-2024, https://doi.org/10.5194/nhess-24-331-2024, 2024
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Ambient heat in European cities will substantially increase under global warming, as projected by three heat metrics calculated from high-resolution climate model simulations. While the heat metrics consistently project high levels of ambient heat for several cities, in other cities the projected heat levels vary considerably across the three heat metrics. Using complementary heat metrics for projections of ambient heat is thus important for assessments of future risks from heat stress.
Dragan Petrovic, Benjamin Fersch, and Harald Kunstmann
Nat. Hazards Earth Syst. Sci., 24, 265–289, https://doi.org/10.5194/nhess-24-265-2024, https://doi.org/10.5194/nhess-24-265-2024, 2024
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The influence of model resolution and settings on the reproduction of heat waves in Germany between 1980–2009 is analyzed. Outputs from a high-resolution model with settings tailored to the target region are compared to those from coarser-resolution models with more general settings. Neither the increased resolution nor the tailored model settings are found to add significant value to the heat wave simulation. The models exhibit a large spread, indicating that the choice of model can be crucial.
Josep Bonsoms, Juan I. López-Moreno, Esteban Alonso-González, César Deschamps-Berger, and Marc Oliva
Nat. Hazards Earth Syst. Sci., 24, 245–264, https://doi.org/10.5194/nhess-24-245-2024, https://doi.org/10.5194/nhess-24-245-2024, 2024
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Climate warming is changing mountain snowpack patterns, leading in some cases to rain-on-snow (ROS) events. Here we analyzed near-present ROS and its sensitivity to climate warming across the Pyrenees. ROS increases during the coldest months of the year but decreases in the warmest months and areas under severe warming due to snow cover depletion. Faster snow ablation is anticipated in the coldest and northern slopes of the range. Relevant implications in mountain ecosystem are anticipated.
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-220, https://doi.org/10.5194/nhess-2023-220, 2024
Revised manuscript accepted for NHESS
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This is the first study that uses spatial patterns (clusters/hot-spots) and meta-analysis in order to identify the regions at European level at risk to multi-hazards. The findings point out the socio-economic dimension as determinant factor for the risk potential to multi-hazard. The outcome provides valuable input for the Disaster Risk Management policy support and will assist national authorities on the implementation of a multi-hazard approach in the National Risk Assessments preparation.
Matthew D. K. Priestley, David B. Stephenson, Adam A. Scaife, Daniel Bannister, Christopher J. T. Allen, and David Wilkie
Nat. Hazards Earth Syst. Sci., 23, 3845–3861, https://doi.org/10.5194/nhess-23-3845-2023, https://doi.org/10.5194/nhess-23-3845-2023, 2023
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This research presents a model for estimating extreme gusts associated with European windstorms. Using observed storm footprints we are able to calculate the return level of events at the 200-year return period. The largest gusts are found across NW Europe, and these are larger when the North Atlantic Oscillation is positive. Using theoretical future climate states we find that return levels are likely to increase across NW Europe to levels that are unprecedented compared to historical storms.
Fabio Dioguardi, Giovanni Chiodini, and Antonio Costa
EGUsphere, https://doi.org/10.5194/egusphere-2023-2867, https://doi.org/10.5194/egusphere-2023-2867, 2023
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We present results of non-volcanic gas (CO2) hazard assessment at the Mefite d’Ansanto area (Italy) where a cold gas stream, which had already been lethal for humans and animals, forms in the valleys surrounding the emission zone. We took the uncertainty related to the gas emission and meteorological conditions into account. Results include maps of CO2 concentration at defined probability levels and of the probability to overcome specified CO2 concentrations over specified time intervals.
Tadeusz Chmielewski and Piotr A. Bońkowski
Nat. Hazards Earth Syst. Sci., 23, 3839–3844, https://doi.org/10.5194/nhess-23-3839-2023, https://doi.org/10.5194/nhess-23-3839-2023, 2023
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The paper deals with wind speeds of extreme wind events in Poland and the descriptions of their effects. Two recent estimations developed by the Institute of Meteorology and Water Management in Warsaw and by Halina Lorenc are presented and briefly described. The 37 annual maximum gusts of wind speeds measured between 1971 and 2007 are analysed. Based on the measured and estimated wind speeds, the authors suggest new estimations for extreme winds that may occur in Poland.
Jingyu Wang, Jiwen Fan, and Zhe Feng
Nat. Hazards Earth Syst. Sci., 23, 3823–3838, https://doi.org/10.5194/nhess-23-3823-2023, https://doi.org/10.5194/nhess-23-3823-2023, 2023
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Hail and tornadoes are devastating hazards responsible for significant property damage and economic losses in the United States. Quantifying the connection between hazard events and mesoscale convective systems (MCSs) is of great significance for improving predictability, as well as for better understanding the influence of the climate-scale perturbations. A 14-year statistical dataset of MCS-related hazard production is presented.
Ruijiao Jiang, Guoping Zhang, Shudong Wang, Bing Xue, Zhengshuai Xie, Tingzhao Yu, Kuoyin Wang, Jin Ding, and Xiaoxiang Zhu
Nat. Hazards Earth Syst. Sci., 23, 3747–3759, https://doi.org/10.5194/nhess-23-3747-2023, https://doi.org/10.5194/nhess-23-3747-2023, 2023
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Lightning activity in China is analyzed. Low latitudes, undulating terrain, seaside, and humid surfaces are beneficial for lightning occurrence. Summer of the year or afternoon of the day is the high period. Large cloud-to-ground lightning frequency always corresponds to a small ratio and weak intensity of positive cloud-to-ground lightning on either a temporal or spatial scale. Interestingly, the discharge intensity difference between the two types of lightning shrinks on the Tibetan Plateau.
George Pacey, Stephan Pfahl, Lisa Schielicke, and Kathrin Wapler
Nat. Hazards Earth Syst. Sci., 23, 3703–3721, https://doi.org/10.5194/nhess-23-3703-2023, https://doi.org/10.5194/nhess-23-3703-2023, 2023
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Cold fronts are often associated with areas of intense precipitation (cells) and sometimes with hazards such as flooding, hail and lightning. We find that cold-frontal cell days are associated with higher cell frequency and cells are typically more intense. We also show both spatially and temporally where cells are most frequent depending on their cell-front distance. These results are an important step towards a deeper understanding of cold-frontal storm climatology and improved forecasting.
Francesco Battaglioli, Pieter Groenemeijer, Ivan Tsonevsky, and Tomàš Púčik
Nat. Hazards Earth Syst. Sci., 23, 3651–3669, https://doi.org/10.5194/nhess-23-3651-2023, https://doi.org/10.5194/nhess-23-3651-2023, 2023
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Probabilistic models for lightning and large hail were developed across Europe using lightning observations and hail reports. These models accurately predict the occurrence of lightning and large hail several days in advance. In addition, the hail model was shown to perform significantly better than the state-of-the-art forecasting methods. These results suggest that the models developed in this study may help improve forecasting of convective hazards and eventually limit the associated risks.
Francisco Javier Acero, Manuel Antón, Alejandro Jesús Pérez Aparicio, Nieves Bravo-Paredes, Víctor Manuel Sánchez Carrasco, María Cruz Gallego, José Agustín García, Marcelino Núñez, Irene Tovar, Javier Vaquero-Martínez, and José Manuel Vaquero
EGUsphere, https://doi.org/10.5194/egusphere-2023-2522, https://doi.org/10.5194/egusphere-2023-2522, 2023
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The month of June 1925 was detected as exceptional in the SW interior of Iberia due to the large number of thunderstorms and the significant impacts that caused, with serious losses in human lives and material resources. We analyzed this event from different, complementary perspectives: the reconstruction of the history of the events from newspapers; the study of monthly meteorological variables of the longest series available in Iberia; and the analysis of the meteorological synoptic situation.
Cited articles
Acquaotta, F., Fratianni, S., and Garzena, D.: Temperature
changes in the North-Western Italian Alps from 1961 to 2010, Theor. Appl.
Climatol., 122, 619–634, https://doi.org/10.1007/s00704-014-1316-7, 2015.
Alma, Ö. G.: Comparison of Robust Regression Methods in Linear
Regression, Int. J. Contemp. Math. Sciences, 6, 409–421, 2011.
Alsaad, H., Hartmann, M., Hilbel, R., and Voelker, C.: The potential of
facade greening in mitigating the effects of heatwaves in Central European
cities, Build. Environ., 216, 109021,
https://doi.org/10.1016/j.buildenv.2022.109021, 2022.
Bacco, M. D. and Scorzini, A. R.: Recent changes in temperature extremes
across the north-eastern region of Italy and their relationship with
large-scale circulation, Clim. Res., 81, 167–185,
https://doi.org/10.3354/cr01614, 2020.
Bonat, W. H. and Kokonendji, C. C.: Flexible Tweedie regression models for
continuous data, J. Stat. Comput. Simul., 87, 2138–2152,
https://doi.org/10.1080/00949655.2017.1318876, 2017.
Brossart, D. F., Parker, R. I., and Castillo, L. G.: Robust regression for
single-case data analysis: How can it help?, Behav. Res. Methods, 43,
710–719, https://doi.org/10.3758/s13428-011-0079-7, 2011.
Buscail, C., Upegui, E., and Viel, J.-F.: Mapping heatwave health risk at
the community level for public health action, Int. J. Health Geogr., 11, 38,
https://doi.org/10.1186/1476-072X-11-38, 2012.
Buzási, A.: Comparative assessment of heatwave vulnerability factors for
the districts of Budapest, Hungary, Urban Clim., 42, 101127,
https://doi.org/10.1016/j.uclim.2022.101127, 2022.
Ceccherini, G., Russo, S., Ameztoy, I., Marchese, A. F., and Carmona-Moreno, C.: Heat waves in Africa 1981–2015, observations and reanalysis, Nat. Hazards Earth Syst. Sci., 17, 115–125, https://doi.org/10.5194/nhess-17-115-2017, 2017.
Chambers, J.: Global and cross-country analysis of exposure of vulnerable
populations to heatwaves from 1980 to 2018, Clim. Change, 163, 539–558,
https://doi.org/10.1007/s10584-020-02884-2, 2020.
Cheng, W., Li, D., Liu, Z., and Brown, R. D.: Approaches for identifying
heat-vulnerable populations and locations: A systematic review, Sci. Total
Environ., 799, 149417, https://doi.org/10.1016/j.scitotenv.2021.149417,
2021.
Conti, S., Meli, P., Minelli, G., Solimini, R., Toccaceli, V., Vichi, M.,
Beltrano, C., and Perini, L.: Epidemiologic study of mortality during the
Summer 2003 heat wave in Italy, Environ. Res., 98, 390–399,
https://doi.org/10.1016/j.envres.2004.10.009, 2005.
Crespi, A., Matiu, M., Bertoldi, G., Petitta, M., and Zebisch, M.: A high-resolution gridded dataset of daily temperature and precipitation records (1980–2018) for Trentino-South Tyrol (north-eastern Italian Alps), Earth Syst. Sci. Data, 13, 2801–2818, https://doi.org/10.5194/essd-13-2801-2021, 2021.
Crespi, A., Matiu, M., Bertoldi, G., Petitta, M., and Zebisch, M.: High-resolution daily series (1980–2018) and monthly climatologies (1981–2010) of mean temperature and precipitation for Trentino – South Tyrol (north-eastern Italian Alps) [dataset], PANGAEA, https://doi.org/10.1594/PANGAEA.924502 (last access: 5 July 2023), 2020.
de'Donato, F. K., Leone, M., Noce, D., Davoli, M., and Michelozzi, P.: The Impact of the February 2012 Cold Spell on Health in Italy Using Surveillance Data, PLOS ONE, 8, e61720, https://doi.org/10.1371/journal.pone.0061720, 2013.
Dong, J., Peng, J., He, X., Corcoran, J., Qiu, S., and Wang, X.:
Heatwave-induced human health risk assessment in megacities based on heat
stress-social vulnerability-human exposure framework, Landsc. Urban Plan.,
203, 103907, https://doi.org/10.1016/j.landurbplan.2020.103907, 2020.
Dosio, A., Mentaschi, L., Fischer, E. M., and Wyser, K.: Extreme heat waves
under 1.5 ∘C and 2 ∘C global warming, Environ. Res. Lett., 13, 054006,
https://doi.org/10.1088/1748-9326/aab827, 2018.
Dunn, P. K.: Occurrence and quantity of precipitation can be modelled
simultaneously, Int. J. Climatol., 24, 1231–1239,
https://doi.org/10.1002/joc.1063, 2004.
Dunn, P. K.: Tweedie: Evaluation of Tweedie exponential family models, R package version 2.3 [code], https://cran.r-project.org/web/packages/tweedie/index.html (last access: 5 July 2023), 2021.
Dunn, P. K. and Smyth, G. K.: Series evaluation of Tweedie exponential
dispersion model densities, Stat. Comput., 15, 267–280,
https://doi.org/10.1007/s11222-005-4070-y, 2005.
Ellena, M., Ballester, J., Mercogliano, P., Ferracin, E., Barbato, G.,
Costa, G., and Ingole, V.: Social inequalities in heat-attributable
mortality in the city of Turin, northwest of Italy: a time series analysis
from 1982 to 2018, Environ. Health, 19, 116,
https://doi.org/10.1186/s12940-020-00667-x, 2020.
El-Zein, A. and Tonmoy, F. N.: Assessment of vulnerability to climate change
using a multi-criteria outranking approach with application to heat stress
in Sydney, Ecol. Indic., 48, 207–217,
https://doi.org/10.1016/j.ecolind.2014.08.012, 2015.
Estoque, R. C., Ooba, M., Seposo, X. T., Togawa, T., Hijioka, Y., Takahashi,
K., and Nakamura, S.: Heat health risk assessment in Philippine cities using
remotely sensed data and social-ecological indicators, Nat. Commun., 11,
1581, https://doi.org/10.1038/s41467-020-15218-8, 2020.
European Comission: Joint Research Centre Data Catalogue: Global Human Settlement Layer, European Commission [data set], https://data.jrc.ec.europa.eu/collection/ghsl (last access: 5 July 2023), 2018.
Filzmoser, P. and Nordhausen, K.: Robust linear regression for
high-dimensional data: An overview, WIREs Comput. Stat., 13, e1524,
https://doi.org/10.1002/wics.1524, 2021.
Formetta, G. and Feyen, L.: Empirical evidence of declining global
vulnerability to climate-related hazards, Glob. Environ. Change, 57, 101920,
https://doi.org/10.1016/j.gloenvcha.2019.05.004, 2019.
Fratianni, S. and Acquaotta, F.: The Climate of Italy, in: Landscapes and
Landforms of Italy, edited by: Soldati, M. and Marchetti, M., Springer
International Publishing, Cham, 29–38,
https://doi.org/10.1007/978-3-319-26194-2_4, 2017.
Frigerio, I. and De Amicis, M.: Mapping social vulnerability to natural
hazards in Italy: A suitable tool for risk mitigation strategies, Environ.
Sci. Policy, 63, 187–196, https://doi.org/10.1016/j.envsci.2016.06.001,
2016.
García-León, D., Casanueva, A., Standardi, G., Burgstall, A.,
Flouris, A. D., and Nybo, L.: Current and projected regional economic
impacts of heatwaves in Europe, Nat. Commun., 12, 5807,
https://doi.org/10.1038/s41467-021-26050-z, 2021.
Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A.,
Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., Leone,
M., Sario, M. D., Bell, M. L., Guo, Y.-L. L., Wu, C., Kan, H., Yi, S.-M.,
Coelho, M. de S. Z. S., Saldiva, P. H. N., Honda, Y., Kim, H., and
Armstrong, B.: Mortality risk attributable to high and low ambient
temperature: a multicountry observational study, The Lancet, 386, 369–375,
https://doi.org/10.1016/S0140-6736(14)62114-0, 2015.
Gilleland, E.: extRemes: Extreme Value Analysis, 2022. R package version 2.1 [code], https://cran.r-project.org/web/packages/extRemes/index.html (last access: 5 July 2023), 2021.
Gilleland, E. and Katz, R. W.: extRemes 2.0: An Extreme Value Analysis Package in R [code], J. Stat. Softw., 72, 1–39, https://doi.org/10.18637/jss.v072.i08, 2016.
Goffard, P.-O., Jammalamadaka, S. R., and Meintanis, S.: Goodness-of-fit
tests for compound distributions with applications in insurance, 2019.
Habeeb, D., Vargo, J., and Stone, B.: Rising heat wave trends in large US
cities, Nat. Hazards, 76, 1651–1665,
https://doi.org/10.1007/s11069-014-1563-z, 2015.
Hasan, M. M. and Dunn, P. K.: Two Tweedie distributions that are
near-optimal for modelling monthly rainfall in Australia, Int. J. Climatol.,
31, 1389–1397, https://doi.org/10.1002/joc.2162, 2011.
Ho, H. C., Knudby, A., Chi, G., Aminipouri, M., and Lai, D. Y.-F.:
Spatiotemporal analysis of regional socio-economic vulnerability change
associated with heat risks in Canada, Appl. Geogr., 95, 61–70,
https://doi.org/10.1016/j.apgeog.2018.04.015, 2018.
Huber, P. J.: Robust Statistics, in: International Encyclopedia of
Statistical Science, edited by: Lovric, M., Springer, Berlin, Heidelberg,
1248–1251, https://doi.org/10.1007/978-3-642-04898-2_594,
2011.
IPCC: Climate Change 2014 – Impacts, Adaptation and Vulnerability: Part A:
Global and Sectoral Aspects: Working Group II Contribution to the IPCC Fifth
Assessment Report: Volume 1: Global and Sectoral Aspects, Cambridge
University Press, Cambridge, https://doi.org/10.1017/CBO9781107415379, 2014.
Istat.it – 15∘ Censimento della popolazione e delle abitazioni
2011:
https://www.istat.it/it/censimenti-permanenti/censimenti-precedenti/popolazione-e-abitazioni/popolazione-2011,
last access: 16 November 2021.
ISTAT: Webpage of the Italian National Institute of Statistics, Istat [data set], https://www.istat.it/en/ (last access: 5 July 2023), 2023.
Jarzyna, K. and Krzyżewska, A.: Cold spell variability in Europe in
relation to the degree of climate continentalism in 1981–2018 period,
Weather, 76, 122–128, https://doi.org/10.1002/wea.3937, 2021.
Johnson, W. D., Burton, J. H., Beyl, R. A., and Romer, J. E.: A Simple
Chi-Square Statistic for Testing Homogeneity of Zero-Inflated Distributions,
Open J. Stat., 5, 483, https://doi.org/10.4236/ojs.2015.56050, 2015.
Jorgensen, B.: Exponential Dispersion Models, J. R. Stat. Soc. Ser. B
Methodol., 49, 127–162, 1987.
Karanja, J. and Kiage, L.: Perspectives on spatial representation of urban
heat vulnerability, Sci. Total Environ., 774, 145634,
https://doi.org/10.1016/j.scitotenv.2021.145634, 2021.
Khan, D. M., Yaqoob, A., Zubair, S., Khan, M. A., Ahmad, Z., and Alamri, O.
A.: Applications of Robust Regression Techniques: An Econometric Approach,
Math. Probl. Eng., 2021, e6525079, https://doi.org/10.1155/2021/6525079,
2021.
Kim, D.-W., Deo, R. C., Lee, J.-S., and Yeom, J.-M.: Mapping heatwave
vulnerability in Korea, Nat. Hazards, 89, 35–55,
https://doi.org/10.1007/s11069-017-2951-y, 2017.
King, A. D. and Harrington, L. J.: The Inequality of Climate Change From 1.5
to 2 ∘C of Global Warming, Geophys. Res. Lett., 45, 5030–5033,
https://doi.org/10.1029/2018GL078430, 2018.
King, A. D., Donat, M. G., Lewis, S. C., Henley, B. J., Mitchell, D. M.,
Stott, P. A., Fischer, E. M., and Karoly, D. J.: Reduced heat exposure by
limiting global warming to 1.5 ∘C, Nat. Clim. Change, 8,
549–551, https://doi.org/10.1038/s41558-018-0191-0, 2018.
Kishore, P., Basha, G., Venkat Ratnam, M., AghaKouchak, A., Sun, Q.,
Velicogna, I., and Ouarda, T. B. J. M.: Anthropogenic influence on the
changing risk of heat waves over India, Sci. Rep., 12, 3337,
https://doi.org/10.1038/s41598-022-07373-3, 2022.
Kron, W., Löw, P., and Kundzewicz, Z. W.: Changes in risk of extreme
weather events in Europe, Environ. Sci. Policy, 100, 74–83,
https://doi.org/10.1016/j.envsci.2019.06.007, 2019.
Leung, S., Thompson, L., McPhaden, M. J., and Mislan, K. A. S.: ENSO drives
near-surface oxygen and vertical habitat variability in the tropical
Pacific, Environ. Res. Lett., 14, 064020,
https://doi.org/10.1088/1748-9326/ab1c13, 2019.
Liu, X., Yue, W., Yang, X., Hu, K., Zhang, W., and Huang, M.: Mapping Urban
Heat Vulnerability of Extreme Heat in Hangzhou via Comparing Two Approaches,
Complexity, 2020, e9717658, https://doi.org/10.1155/2020/9717658, 2020.
López-Bueno, J. A., Navas-Martín, M. Á., Díaz, J.,
Mirón, I. J., Luna, M. Y., Sánchez-Martínez, G., Culqui, D.,
and Linares, C.: The effect of cold waves on mortality in urban and rural
areas of Madrid, Environ. Sci. Eur., 33, 72,
https://doi.org/10.1186/s12302-021-00512-z, 2021.
Michelozzi, P., de 'Donato, F., Bisanti, L., Russo, A., Cadum, E., DeMaria,
M., D'Ovidio, M., Costa, G., and Perucci, C. A.: Heat Waves in Italy: Cause
Specific Mortality and the Role of Educational Level and Socio-Economic
Conditions, in: Extreme Weather Events and Public Health Responses, edited
by: Kirch, W., Bertollini, R., and Menne, B., Springer, Berlin, Heidelberg,
121–127, https://doi.org/10.1007/3-540-28862-7_12, 2005.
Michelozzi, P., De' Donato, F., Scortichini, M., De Sario, M., Asta, F.,
Agabiti, N., Guerra, R., de Martino, A., and Davoli, M.: [On the increase in
mortality in Italy in 2015: analysis of seasonal mortality in the 32
municipalities included in the Surveillance system of daily mortality],
Epidemiol. Prev., 40, 22–28, https://doi.org/10.19191/EP16.1.P022.010,
2016.
Morabito, M., Crisci, A., Gioli, B., Gualtieri, G., Toscano, P., Stefano, V.
D., Orlandini, S., and Gensini, G. F.: Urban-Hazard Risk Analysis: Mapping
of Heat-Related Risks in the Elderly in Major Italian Cities, PLOS ONE, 10,
e0127277, https://doi.org/10.1371/journal.pone.0127277, 2015.
Morabito, M., Crisci, A., Guerri, G., Messeri, A., Congedo, L., and
Munafò, M.: Surface urban heat islands in Italian metropolitan cities:
Tree cover and impervious surface influences, Sci. Total Environ., 751,
142334, https://doi.org/10.1016/j.scitotenv.2020.142334, 2021.
Neumayer, E. and Barthel, F.: Normalizing economic loss from natural
disasters: A global analysis, Glob. Environ. Change, 21, 13–24,
https://doi.org/10.1016/j.gloenvcha.2010.10.004, 2011.
Orlando, S., Mosconi, C., De Santo, C., Emberti Gialloreti, L., Inzerilli,
M. C., Madaro, O., Mancinelli, S., Ciccacci, F., Marazzi, M. C., Palombi,
L., and Liotta, G.: The Effectiveness of Intervening on Social Isolation to
Reduce Mortality during Heat Waves in Aged Population: A Retrospective
Ecological Study, Int. J. Environ. Res. Public. Health, 18, 11587,
https://doi.org/10.3390/ijerph182111587, 2021.
Papathoma-Köhle, M., Ulbrich, T., Keiler, M., Pedoth, L., Totschnig, R.,
Glade, T., Schneiderbauer, S., and Eidswig, U.: Chapter 8 - Vulnerability to
Heat Waves, Floods, and Landslides in Mountainous Terrain: Test Cases in
South Tyrol, in: Assessment of Vulnerability to Natural Hazards, edited by:
Birkmann, J., Kienberger, S., and Alexander, D. E., Elsevier, 179–201,
https://doi.org/10.1016/B978-0-12-410528-7.00008-4, 2014.
Peng, J., Liu, Y., Li, T., and Wu, J.: Regional ecosystem health response to
rural land use change: A case study in Lijiang City, China, Ecol. Indic.,
72, 399–410, https://doi.org/10.1016/j.ecolind.2016.08.024, 2017.
Perkins-Kirkpatrick, S. E. and Gibson, P. B.: Changes in regional heatwave
characteristics as a function of increasing global temperature, Sci. Rep.,
7, 12256, https://doi.org/10.1038/s41598-017-12520-2, 2017.
Piticar, A., Croitoru, A.-E., Ciupertea, F.-A., and Harpa, G.-V.: Recent
changes in heat waves and cold waves detected based on excess heat factor
and excess cold factor in Romania, Int. J. Climatol., 38, 1777–1793,
https://doi.org/10.1002/joc.5295, 2018.
Poumadère, M., Mays, C., Le Mer, S., and Blong, R.: The 2003 Heat Wave
in France: Dangerous Climate Change Here and Now, Risk Anal., 25,
1483–1494, https://doi.org/10.1111/j.1539-6924.2005.00694.x, 2005.
Quader, M. A., Khan, A. U., and Kervyn, M.: Assessing Risks from Cyclones
for Human Lives and Livelihoods in the Coastal Region of Bangladesh, Int. J.
Environ. Res. Public. Health, 14, E831,
https://doi.org/10.3390/ijerph14080831, 2017.
Rahma, A. and Kokonendji, C. C.: Discriminating between and within
(semi)continuous classes of both Tweedie and geometric Tweedie models, J.
Stat. Comput. Simul., 92, 794–812, https://doi.org/10.1080/00949655.2021.1975281, 2022.
Reid, C. E., O'Neill, M. S., Gronlund, C. J., Brines, S. J., Brown,
D. G., Diez-Roux, A. V., and Schwartz, J.: Mapping Community
Determinants of Heat Vulnerability, Environ. Health Perspect., 117,
1730–1736, https://doi.org/10.1289/ehp.0900683, 2009.
Reynaud, C. and Miccoli, S.: Depopulation and the Aging Population: The
Relationship in Italian Municipalities, Sustainability, 10, 1004,
https://doi.org/10.3390/su10041004, 2018.
Russo, S., Sillmann, J., and Fischer, E. M.: Top ten European heatwaves
since 1950 and their occurrence in the coming decades, Environ. Res. Lett.,
10, 124003, https://doi.org/10.1088/1748-9326/10/12/124003, 2015.
Russo, S., Marchese, A. F., Sillmann, J., and Immé, G.: When will
unusual heat waves become normal in a warming Africa?, Environ. Res. Lett.,
11, 054016, https://doi.org/10.1088/1748-9326/11/5/054016, 2016.
Russo, S., Sillmann, J., Sippel, S., Barcikowska, M. J., Ghisetti, C., Smid,
M., and O'Neill, B.: Half a degree and rapid socioeconomic development
matter for heatwave risk, Nat. Commun., 10, 136,
https://doi.org/10.1038/s41467-018-08070-4, 2019.
Schiavina, M., Freire, S., and MacManus, K.: GHS-POP R2019A – GHS population
grid multitemporal (1975-1990-2000-2015),
https://doi.org/10.2905/0C6B9751-A71F-4062-830B-43C9F432370F, 2019.
Shono, H.: Application of the Tweedie distribution to zero-catch data in
CPUE analysis, Fish. Res., 93, 154–162,
https://doi.org/10.1016/j.fishres.2008.03.006, 2008.
Smid, M., Russo, S., Costa, A. C., Granell, C., and Pebesma, E.: Ranking
European capitals by exposure to heat waves and cold waves, Urban Clim., 27,
388–402, https://doi.org/10.1016/j.uclim.2018.12.010, 2019.
Spinoni, J., Lakatos, M., Szentimrey, T., Bihari, Z., Szalai, S., Vogt, J.,
and Antofie, T.: Heat and cold waves trends in the Carpathian Region from
1961 to 2010, Int. J. Climatol., 35, 4197–4209,
https://doi.org/10.1002/joc.4279, 2015.
Taleghani, M., Marshall, A., Fitton, R., and Swan, W.: Renaturing a
microclimate: The impact of greening a neighbourhood on indoor thermal
comfort during a heatwave in Manchester, UK, Sol. Energy, 182, 245–255,
https://doi.org/10.1016/j.solener.2019.02.062, 2019.
Temple, S. D.: The Tweedie Index Parameter and Its Estimator An Introduction with Applications to Actuarial Ratemaking, BSc. Thesis, Department of Mathemeatics, University of Oregon, USA, 87 pp., 2018.
Tijdeman, E., Stahl, K., and Tallaksen, L. M.: Drought Characteristics Derived Based on the Standardized Streamflow Index: A Large Sample Comparison for Parametric and Nonparametric Methods, Water Resour. Res., 56, e2019WR026315, https://doi.org/10.1029/2019WR026315, 2020.
Tuholske, C., Caylor, K., Funk, C., Verdin, A., Sweeney, S., Grace, K.,
Peterson, P., and Evans, T.: Global urban population exposure to extreme
heat, P. Natl. Acad. Sci. USA, 118, e2024792118,
https://doi.org/10.1073/pnas.2024792118, 2021.
Twardosz, R. and Kossowska-Cezak, U.: Exceptionally cold and mild winters in
Europe (1951–2010), Theor. Appl. Climatol., 125, 399–411,
https://doi.org/10.1007/s00704-015-1524-9, 2016.
Tweedie, M. C. K.: An index which distinguishes between some important
exponential families, in: Statistics: applications and new directions
(Calcutta, 1981), Indian Statist. Inst., Calcutta, 579–604, 1984.
UNDRR, Disaster risk: https://www.undrr.org/terminology/disaster-risk, last
access: 21 November 2021.
van Oldenborgh, G. J., Mitchell-Larson, E., Vecchi, G. A., Vries, H. de,
Vautard, R., and Otto, F.: Cold waves are getting milder in the northern
midlatitudes, Environ. Res. Lett., 14, 114004,
https://doi.org/10.1088/1748-9326/ab4867, 2019.
Vu, A., Rutherford, S., and Phung, D.: Heat Health Prevention Measures and
Adaptation in Older Populations – A Systematic Review, Int. J. Environ. Res.
Public. Health, 16, 4370, https://doi.org/10.3390/ijerph16224370, 2019.
Watts, N., Amann, M., Arnell, N., Ayeb-Karlsson, S., Belesova, K., Berry,
H., Bouley, T., Boykoff, M., Byass, P., Cai, W., Campbell-Lendrum, D.,
Chambers, J., Daly, M., Dasandi, N., Davies, M., Depoux, A.,
Dominguez-Salas, P., Drummond, P., Ebi, K. L., Ekins, P., Montoya, L. F.,
Fischer, H., Georgeson, L., Grace, D., Graham, H., Hamilton, I., Hartinger,
S., Hess, J., Kelman, I., Kiesewetter, G., Kjellstrom, T., Kniveton, D.,
Lemke, B., Liang, L., Lott, M., Lowe, R., Sewe, M. O., Martinez-Urtaza, J.,
Maslin, M., McAllister, L., Mikhaylov, S. J., Milner, J., Moradi-Lakeh, M.,
Morrissey, K., Murray, K., Nilsson, M., Neville, T., Oreszczyn, T., Owfi,
F., Pearman, O., Pencheon, D., Pye, S., Rabbaniha, M., Robinson, E.,
Rocklöv, J., Saxer, O., Schütte, S., Semenza, J. C.,
Shumake-Guillemot, J., Steinbach, R., Tabatabaei, M., Tomei, J., Trinanes,
J., Wheeler, N., Wilkinson, P., Gong, P., Montgomery, H., and Costello, A.:
The 2018 report of the Lancet Countdown on health and climate change:
shaping the health of nations for centuries to come, The Lancet, 392,
2479–2514, https://doi.org/10.1016/S0140-6736(18)32594-7, 2018.
Wilks, D. S.: “The Stippling Shows Statistically Significant Grid Points”:
How Research Results are Routinely Overstated and Overinterpreted, and What
to Do about It, B. Am. Meteorol. Soc., 97, 2263–2273,
https://doi.org/10.1175/BAMS-D-15-00267.1, 2016.
Short summary
We analyzed recent trends in heat and cold wave (HW and CW) risk in a European alpine region, defined by a time and spatially explicit framework to quantify hazard, vulnerability, exposure, and risk. We find a statistically significant increase in HW hazard and exposure. A decrease in vulnerability is observed except in the larger cities. HW risk increased in 40 % of the region, especially in highly populated areas. Stagnant CW hazard and declining vulnerability result in reduced CW risk.
We analyzed recent trends in heat and cold wave (HW and CW) risk in a European alpine region,...
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