Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2001-2021
© Author(s) 2021. 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-21-2001-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jul 2021
Research article |
| 02 Jul 2021
| 02 Jul 2021
Intense windstorms in the northeastern United States
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
Rebecca J. Barthelmie
Sibley School of Mechanical and Aerospace Engineering, Cornell
University, Ithaca, New York, USA
Kevin I. Hodges
Environmental System Science Centre, University of Reading, Reading,
United Kingdom
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
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Two different schemes predict quite different nucleation rates (including their spatial patterns), concentrations of cloud condensation nuclei, and aerosol first indirect radiative forcing in North America.
S. C. Pryor, K. E. Hornsby, and K. A. Novick
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J. Ortega, A. Turnipseed, A. B. Guenther, T. G. Karl, D. A. Day, D. Gochis, J. A. Huffman, A. J. Prenni, E. J. T. Levin, S. M. Kreidenweis, P. J. DeMott, Y. Tobo, E. G. Patton, A. Hodzic, Y. Y. Cui, P. C. Harley, R. S. Hornbrook, E. C. Apel, R. K. Monson, A. S. D. Eller, J. P. Greenberg, M. C. Barth, P. Campuzano-Jost, B. B. Palm, J. L. Jimenez, A. C. Aiken, M. K. Dubey, C. Geron, J. Offenberg, M. G. Ryan, P. J. Fornwalt, S. C. Pryor, F. N. Keutsch, J. P. DiGangi, A. W. H. Chan, A. H. Goldstein, G. M. Wolfe, S. Kim, L. Kaser, R. Schnitzhofer, A. Hansel, C. A. Cantrell, R. L. Mauldin, and J. N. Smith
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This study provides detailed insight into the thunderstorm characteristics associated with abrupt changes in the lightning activity of a thunderstorm – lightning jumps (LJs) and lightning dives (LDs) – using geostationary satellite observations. Thunderstorms exhibiting one or multiple LJs or LDs feature characteristics similar to severe thunderstorms. Storms with multiple LJs contain strong convective updrafts and are prone to produce high rain rates, large hail, or tornadoes.
Jinfang Yin, Feng Li, Mingxin Li, Rudi Xia, Xinghua Bao, Jisong Sun, and Xudong Liang
Nat. Hazards Earth Syst. Sci., 25, 1719–1735, https://doi.org/10.5194/nhess-25-1719-2025, https://doi.org/10.5194/nhess-25-1719-2025, 2025
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A persistent severe rainfall event occurred over North China in July 2023, which was regarded as one of the most extreme episodes globally during that year. The extreme rainfall was significantly underestimated by forecasters at that time. Flooding from this event affected 1.3 million people, causing severe human casualties and economic losses. We examined the convective initiation and subsequent persistent heavy rainfall based on simulations with the Weather Research and Forecasting model.
Ilona Láng-Ritter, Terhi Kristiina Laurila, Antti Mäkelä, Hilppa Gregow, and Victoria Anne Sinclair
Nat. Hazards Earth Syst. Sci., 25, 1697–1717, https://doi.org/10.5194/nhess-25-1697-2025, https://doi.org/10.5194/nhess-25-1697-2025, 2025
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We present a classification method for extratropical cyclones and windstorms and show their impacts on Finland's electricity grid by analysing the 92 most damaging windstorms (2005–2018). The south-west- and north-west-arriving windstorms cause the most damage to the power grid. The most relevant parameters for damage are the wind gust speed and extent of wind gusts. Windstorms are more frequent and damaging in autumn and winter, but weaker wind speeds in summer also cause significant damage.
Joseph W. Gallear, Marcelo Valadares Galdos, Marcelo Zeri, and Andrew Hartley
Nat. Hazards Earth Syst. Sci., 25, 1521–1541, https://doi.org/10.5194/nhess-25-1521-2025, https://doi.org/10.5194/nhess-25-1521-2025, 2025
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In Brazil, drought is of national concern and can have major consequences for agriculture. Here, we determine how to develop forecasts for drought stress on vegetation health using machine learning. Results aim to inform future developments in operational drought monitoring at the National Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN) in Brazil. This information is essential for disaster preparedness and planning of future actions to support areas affected by drought.
Thomas Schwitalla, Lisa Jach, Volker Wulfmeyer, and Kirsten Warrach-Sagi
Nat. Hazards Earth Syst. Sci., 25, 1405–1424, https://doi.org/10.5194/nhess-25-1405-2025, https://doi.org/10.5194/nhess-25-1405-2025, 2025
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During recent decades, Europe has experienced increasing periods of severe drought and heatwave. To provide an overview of how land-surface conditions shape land–atmosphere (LA) coupling, the interannual LA coupling strength variability for the summer seasons of 1991–2022 is investigated by means of ERA5 data. The results clearly reflect ongoing climate change by a shift in the coupling relationships towards reinforced heating and drying by the land surface.
Marcos Roberto Benso, Roberto Fray Silva, Gabriela Chiquito Gesualdo, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, José Antonio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 25, 1387–1404, https://doi.org/10.5194/nhess-25-1387-2025, https://doi.org/10.5194/nhess-25-1387-2025, 2025
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This study applies climate extreme indices to assess climate risks to food security. Using an explainable machine learning analysis, key climate indices affecting maize and soybean yields in Brazil were identified. Results reveal the temporal sensitivity of these indices and critical yield loss thresholds, informing policy and adaptation strategies.
Juan F. Dueñas, Edda Kunze, Huiying Li, and Matthias C. Rillig
Nat. Hazards Earth Syst. Sci., 25, 1377–1386, https://doi.org/10.5194/nhess-25-1377-2025, https://doi.org/10.5194/nhess-25-1377-2025, 2025
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We investigated the potential of adding mixtures composed of minimum dosages of several popular amendment types to soil. Our goal was to increase the resistance of agricultural soil to drought stress. We found that adding mixtures of three to five amendment types increased the capacity of soil to retain water, reduced soil erosion, and increased fungal abundance while buffering soil from drastic changes in pH. More research is encouraged to validate this approach.
François Collet, Margot Bador, Julien Boé, Laurent Dubus, and Bénédicte Jourdier
Nat. Hazards Earth Syst. Sci., 25, 843–856, https://doi.org/10.5194/nhess-25-843-2025, https://doi.org/10.5194/nhess-25-843-2025, 2025
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Our aim is to characterize the observed evolution of compound winter low-wind and cold events impacting the French electricity system. The frequency of compound events exhibits a decrease over the 1950–2022 period, which is likely due to a decrease in cold days. Large-scale atmospheric circulation is an important driver of compound event occurrence and has likely contributed to the decrease in cold days, while we cannot draw conclusions on its influence on the decrease in compound events.
Fabio Dioguardi, Giovanni Chiodini, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 25, 657–674, https://doi.org/10.5194/nhess-25-657-2025, https://doi.org/10.5194/nhess-25-657-2025, 2025
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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 has already been lethal to 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 concentrations at defined probability levels and the probability of overcoming specified CO2 concentrations over specified time intervals.
Sonja Szymczak, Frederick Bott, Vigile Marie Fabella, and Katharina Fricke
Nat. Hazards Earth Syst. Sci., 25, 683–707, https://doi.org/10.5194/nhess-25-683-2025, https://doi.org/10.5194/nhess-25-683-2025, 2025
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We investigate the correlation between heavy-rainfall events and three associated natural hazards along the German rail network using GIS analyses and random-effects logistic models. The results show that 23 % of floods, 14 % of gravitational mass movements, and 2 % of tree fall events between 2017 and 2020 occurred after a heavy-rainfall event, and the probability of occurrence of flood and tree fall events significantly increased. This study contributes to more resilient rail transport.
Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 25, 675–682, https://doi.org/10.5194/nhess-25-675-2025, https://doi.org/10.5194/nhess-25-675-2025, 2025
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Extreme rainfall comprises a major hydrohazard for New Zealand and is commonly associated with atmospheric rivers – narrow plumes of very high atmospheric moisture transport. Here, we focus on improved forecasting of these events by testing a forecasting tool previously applied to similar situations in western Europe. However, our results for New Zealand suggest the performance of this forecasting tool may vary depending on geographical setting.
Tiago M. Ferreira, Ricardo M. Trigo, Tomás H. Gaspar, Joaquim G. Pinto, and Alexandre M. Ramos
Nat. Hazards Earth Syst. Sci., 25, 609–623, https://doi.org/10.5194/nhess-25-609-2025, https://doi.org/10.5194/nhess-25-609-2025, 2025
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We investigate the synoptic evolution associated with the occurrence of an atmospheric river that led to a 24 h record-breaking extreme precipitation event (120.3 mm) in Lisbon, Portugal, on 13 December 2022. The synoptic background allowed the formation, on 10 December, of an atmospheric river associated with a deep extratropical cyclone and with a high moisture content and an inflow of moisture, due to the warm conveyor belt, throughout its life cycle. The system made landfall on 12 December.
Elena Xoplaki, Florian Ellsäßer, Jens Grieger, Katrin M. Nissen, Joaquim G. Pinto, Markus Augenstein, Ting-Chen Chen, Hendrik Feldmann, Petra Friederichs, Daniel Gliksman, Laura Goulier, Karsten Haustein, Jens Heinke, Lisa Jach, Florian Knutzen, Stefan Kollet, Jürg Luterbacher, Niklas Luther, Susanna Mohr, Christoph Mudersbach, Christoph Müller, Efi Rousi, Felix Simon, Laura Suarez-Gutierrez, Svenja Szemkus, Sara M. Vallejo-Bernal, Odysseas Vlachopoulos, and Frederik Wolf
Nat. Hazards Earth Syst. Sci., 25, 541–564, https://doi.org/10.5194/nhess-25-541-2025, https://doi.org/10.5194/nhess-25-541-2025, 2025
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Europe frequently experiences compound events, with major impacts. We investigate these events’ interactions, characteristics, and changes over time, focusing on socio-economic impacts in Germany and central Europe. Highlighting 2018’s extreme events, this study reveals impacts on water, agriculture, and forests and stresses the need for impact-focused definitions and better future risk quantification to support adaptation planning.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 25, 429–449, https://doi.org/10.5194/nhess-25-429-2025, https://doi.org/10.5194/nhess-25-429-2025, 2025
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The use of numerical weather prediction models enables the forecasting of hazardous weather situations. The incorporation of new temperature and relative humidity observations from personal weather stations into the French limited-area model is evaluated in this study. This leads to the improvement of the associated near-surface variables of the model during the first hours of the forecast. Examples are provided for a sea breeze case during a heatwave and a fog episode.
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
Nat. Hazards Earth Syst. Sci., 25, 305–320, https://doi.org/10.5194/nhess-25-305-2025, https://doi.org/10.5194/nhess-25-305-2025, 2025
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The month of June 1925 was found to be exceptional in the southwest interior of the Iberian Peninsula due to the large number of thunderstorms and their significant impacts, with serious losses of human lives and material resources. We analyzed this event from different, complementary perspectives: reconstruction of the history of the events from newspapers, study of monthly meteorological variables of the longest series available, and the analysis of the meteorological synoptic situation.
Tiberiu-Eugen Antofie, Stefano Luoni, Aloïs Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci., 25, 287–304, https://doi.org/10.5194/nhess-25-287-2025, https://doi.org/10.5194/nhess-25-287-2025, 2025
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This is the first study that uses spatial patterns (clusters/hotspots) and meta-analysis in order to identify the regions at a European level at risk of multi-hazards. The findings point out the socioeconomic dimension as a determining factor in the potential risk of multi-hazards. 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 national risk assessment preparation.
Joona Cornér, Clément Bouvier, Benjamin Doiteau, Florian Pantillon, and Victoria A. Sinclair
Nat. Hazards Earth Syst. Sci., 25, 207–229, https://doi.org/10.5194/nhess-25-207-2025, https://doi.org/10.5194/nhess-25-207-2025, 2025
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Classification reduces the considerable variability between extratropical cyclones (ETCs) 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.
Cedric G. Ngoungue Langue, Christophe Lavaysse, and Cyrille Flamant
Nat. Hazards Earth Syst. Sci., 25, 147–168, https://doi.org/10.5194/nhess-25-147-2025, https://doi.org/10.5194/nhess-25-147-2025, 2025
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The present study addresses the predictability of heat waves at subseasonal timescales in West African cities over the period 2001–2020. Two models, the European Centre for Medium-Range Weather Forecasts (ECMWF) and the UK Met Office models, were evaluated using two reanalyses: ERA5 and MERRA. The results suggest that at subseasonal timescales, the forecast models provide a better forecast than climatology, but the hit rate and false alarm rate are sub-optimal.
Florian Knutzen, Paul Averbeck, Caterina Barrasso, Laurens M. Bouwer, Barry Gardiner, José M. Grünzweig, Sabine Hänel, Karsten Haustein, Marius Rohde Johannessen, Stefan Kollet, Mortimer M. Müller, Joni-Pekka Pietikäinen, Karolina Pietras-Couffignal, Joaquim G. Pinto, Diana Rechid, Efi Rousi, Ana Russo, Laura Suarez-Gutierrez, Sarah Veit, Julian Wendler, Elena Xoplaki, and Daniel Gliksman
Nat. Hazards Earth Syst. Sci., 25, 77–117, https://doi.org/10.5194/nhess-25-77-2025, https://doi.org/10.5194/nhess-25-77-2025, 2025
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Our research, involving 22 European scientists, investigated drought and heat impacts on forests in 2018–2022. Findings reveal that climate extremes are intensifying, with central Europe being most severely impacted. The southern region showed resilience due to historical drought exposure, while northern and Alpine areas experienced emerging or minimal impacts. The study highlights the need for region-specific strategies, improved data collection, and sustainable practices to safeguard forests.
Georgy Ayzel and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 25, 41–47, https://doi.org/10.5194/nhess-25-41-2025, https://doi.org/10.5194/nhess-25-41-2025, 2025
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Forecasting rainfall over the next hour is an essential feature of early warning systems. Deep learning (DL) 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 specification presents an opportunity to better align the output of nowcasting models with actual user requirements.
Monica Ionita, Petru Vaideanu, Bogdan Antonescu, Catalin Roibu, Qiyun Ma, and Viorica Nagavciuc
Nat. Hazards Earth Syst. Sci., 24, 4683–4706, https://doi.org/10.5194/nhess-24-4683-2024, https://doi.org/10.5194/nhess-24-4683-2024, 2024
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Eastern Europe's heat wave history is explored from 1885 to 2023, with a focus on pre-1960 events. The study reveals two periods with more frequent and intense heat waves (HWs): 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.
Tristan Shepherd, Frederick Letson, Rebecca J. Barthelmie, and Sara C. Pryor
Nat. Hazards Earth Syst. Sci., 24, 4473–4505, https://doi.org/10.5194/nhess-24-4473-2024, https://doi.org/10.5194/nhess-24-4473-2024, 2024
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A historic derecho in the USA is presented. The 29 June 2012 derecho caused more than 20 deaths and millions of US dollars of damage. We use a regional climate model to understand how model fidelity changes under different initial conditions. We find changes drive different convective conditions, resulting in large variation in the simulated hazards. The variation using different reanalysis data shows that framing these results in the context of contemporary and future climate is a challenge.
Hugo Marchal, François Bouttier, and Olivier Nuissier
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-208, https://doi.org/10.5194/nhess-2024-208, 2024
Revised manuscript accepted for NHESS
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This paper investigates the relationship between changes in weather forecasts and predictability, which has so far been considered weak. By focusing on the persistence of weather scenarios over successive forecasts, we found that it significantly affects the reliability of forecasts.
Lena Wilhelm, Cornelia Schwierz, Katharina Schröer, Mateusz Taszarek, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 3869–3894, https://doi.org/10.5194/nhess-24-3869-2024, https://doi.org/10.5194/nhess-24-3869-2024, 2024
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In our study we used statistical models to reconstruct past hail days in Switzerland from 1959–2022. This new time series reveals a significant increase in hail day occurrences over the last 7 decades. We link this trend to increases in moisture and instability variables in the models. This time series can now be used to unravel the complexities of Swiss hail occurrence and to understand what drives its year-to-year variability.
Marc Lemus-Canovas, Sergi Gonzalez-Herrero, Laura Trapero, Anna Albalat, Damian Insua-Costa, Martin Senande-Rivera, and Gonzalo Miguez-Macho
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-192, https://doi.org/10.5194/nhess-2024-192, 2024
Revised manuscript accepted for NHESS
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This study explores the 2022 heatwaves in the Pyrenees, examining the factors that contributed to their intensity and distribution. The June event was driven by strong winds that created uneven temperature patterns, while the July heatwave featured calmer conditions and more uniform temperatures. Human-driven climate change has made these heatwaves more severe compared to the past. This research helps us better understand how climate change affects extreme weather in mountainous regions.
Thomas Loridan and Nicolas Bruneau
EGUsphere, https://doi.org/10.5194/egusphere-2024-3253, https://doi.org/10.5194/egusphere-2024-3253, 2024
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Tropical Cyclone (TC) risk models have been used by the insurance industry to quantify occurrence and severity risk since the 90s. To date these models are mostly built from backward looking statistics and portray risk under a static view of the climate. We here introduce a novel approach, based on machine learning, that allows sampling of climate variability when assessing TC risk globally. This is of particular importance when computing forward looking views of TC risk.
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.
Jannick Fischer, Pieter Groenemeijer, Alois Holzer, Monika Feldmann, Katharina Schröer, Francesco Battaglioli, Lisa Schielicke, Tomáš Púčik, Christoph Gatzen, Bogdan Antonescu, and the TIM Partners
EGUsphere, https://doi.org/10.5194/egusphere-2024-2798, https://doi.org/10.5194/egusphere-2024-2798, 2024
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Strong thunderstorms have been studied mainly over flat terrain and in computer simulations in the past. However, they are particularly frequent near mountain ranges, which emphasizes the need to study storms near mountains. This article gives an overview about our existing knowledge on this topic and presents plans for a large European field campaign with the goals to fill these knowledge gaps, validate tools for thunderstorm warnings, and improve numerical weather prediction near mountains.
Baruch Ziv, Uri Dayan, Lidiya Shendrik, and Elyakom Vadislavsky
Nat. Hazards Earth Syst. Sci., 24, 3267–3277, https://doi.org/10.5194/nhess-24-3267-2024, https://doi.org/10.5194/nhess-24-3267-2024, 2024
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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.
Lou Brett, Christopher J. White, Daniela I.V. Domeisen, Bart van den Hurk, Philip Ward, and Jakob Zscheischler
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-182, https://doi.org/10.5194/nhess-2024-182, 2024
Revised manuscript under review for NHESS
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Compound events, where multiple weather or climate hazards occur together, pose significant risks to both society and the environment. These events, like simultaneous wind and rain, can have more severe impacts than single hazards. Our review of compound event research from 2012–2022 reveals a rise in studies, especially on events that occur concurrently, hot and dry events and compounding flooding. The review also highlights opportunities for research in the coming years.
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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A computer model that simulates the climate of southeastern Australia is shown here to represent extreme wind events associated with convective storms. This is useful as it allows us to investigate possible future changes in the occurrences of these events, and we find in the year 2050 that our model simulates a decrease in the number of occurrences. However, the model also simulates too many events in the historical climate compared with observations, so these future changes are uncertain.
Katharina Küpfer, Alexandre Tuel, and Michael Kunz
EGUsphere, https://doi.org/10.5194/egusphere-2024-2803, https://doi.org/10.5194/egusphere-2024-2803, 2024
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Using loss data, we assess when and how single and multiple types of meteorological extremes (river floods and heavy rainfall events, windstorms and convective gusts, and hail). We find that the combination of several types of hazards clusters robustly on a seasonal scale, whereas only some single hazard types occur in clusters. This can be associated with higher losses compared to isolated events. We argue for the relevance of jointly considering multiple types of hazards.
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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We have used the temperature and relative humidity sensors in smartphones to estimate the vapor pressure deficit (VPD), an important atmospheric parameter closely linked to fuel moisture and wildfire risk. Our analysis for two severe wildfire case studies in Israel and Portugal shows the potential for using smartphone data to compliment the regular weather station network while also providing high spatial resolution of the VPD index.
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.
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.
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.
Andreas Trojand, Henning Rust, and Uwe Ulbrich
EGUsphere, https://doi.org/10.5194/egusphere-2024-1506, https://doi.org/10.5194/egusphere-2024-1506, 2024
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The study investigates how the intensity of previous windstorm events and the time between two events affect the vulnerability of residential buildings in Germany. By analyzing 23 years of data, it was found that higher intensity of previous events generally reduces vulnerability in subsequent storms, while shorter intervals between events increase vulnerability. The results emphasize the approach of considering vulnerability in risk assessments as temporal dynamic.
Shao-Yi Lee, Sicheng He, and Tetsuya Takemi
EGUsphere, https://doi.org/10.5194/egusphere-2024-1304, https://doi.org/10.5194/egusphere-2024-1304, 2024
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Summer rainfall extremes over western Japan were calculated every year, using radar, rain-gauges, and model. Similar regions were determined by machine learning. The relationships between regional rainfall extremes and Pacific climate modes. The modelled relationships were similar to the observed ones for the El Niño-Southern Oscillation and the warming trend. However, the model did not reproduce the relationship for Pacific Decadal Variability.
Cited articles
AMS: American Meteoroligical Society Glossary of Meteorology: available at: https://glossary.ametsoc.org/wiki/Rain (last access: 16 February 2021), 2012.
Angel, J. R. and Isard, S. A.: An Observational Study of the Influence of the Great Lakes on the Speed and Intensity of Passing Cyclones, Mon. Weather Rev., 125.9, 2228–2237, https://doi.org/10.1175/1520-0493(1997)125<2228:AOSOTI>2.0.CO;2, 1997.
Baldini, L. M., Baldini, J. U., McElwaine, J. N., Frappier, A. B., Asmerom,
Y., Liu, K.-b., Prufer, K. M., Ridley, H. E., Polyak, V., and Kennett, D.
J.: Persistent northward North Atlantic tropical cyclone track migration
over the past five centuries, Sci. Rep., 6, 37522, 2016.
Bao, M., Ding, Y., Sang, M., Li, D., Shao, C., and Yan, J.: Modeling and
evaluating nodal resilience of multi-energy systems under windstorms,
Appl. Energ., 270, 115136, https://doi.org/10.1016/j.apenergy.2020.115136, 2020.
Barthelmie, R. J., Dantuono, K., Renner, E., Letson, F. W., and Pryor, S.
C.: Extreme wind and waves in U.S. east coast offshore wind energy lease
areas, Energies, 14, 1053, https://doi.org/10.3390/en14041053, 2021.
Befort, D. J., Wild, S., Kruschke, T., Ulbrich, U., and Leckebusch, G. C.:
Different long-term trends of extra-tropical cyclones and windstorms in
ERA-20C and NOAA-20CR reanalyses, Atmos. Sci. Lett., 17, 586–595,
2016.
Bengtsson, L., Hagemann, S., and Hodges, K. I.: Can climate trends be
calculated from reanalysis data?, J. Geophsy. Res.-Atmos., 109, https://doi.org/10.1029/2004JD004536, 2004.
Bengtsson, L., Hodges, K. I., and Keenlyside, N.: Will extratropical storms
intensify in a warmer climate?, J. Climate, 22, 2276–2301, 2009.
Bentley, A. M., Bosart, L. F., and Keyser, D.: A climatology of
extratropical cyclones leading to extreme weather events over central and
eastern North America, Mon. Weather Rev., 147, 1471–1490, 2019.
Bierly, G. D. and Harrington, J. A.: A Climatology of Transition Season
Colorado Cyclones – 1961–1990, J. Climate, 8, 853–863, 1995.
Bloomfield, H., Shaffrey, L., Hodges, K., and Vidale, P.: A critical
assessment of the long-term changes in the wintertime surface Arctic
Oscillation and Northern Hemisphere storminess in the ERA20C reanalysis,
Environ. Res. Lett., 13, 094004, https://doi.org/10.1088/1748-9326/aad5c5, 2018.
Booth, J. F., Rieder, H. E., Lee, D. E., and Kushnir, Y.: The paths of
extratropical cyclones associated with wintertime high-wind events in the
northeastern United States, J. Appl. Meteorol. Climatol.,
54, 1871–1885, 2015.
Bouwer, L. M., Crompton, R. P., Faust, E., Höppe, P., and Pielke Jr., R.
A.: Confronting disaster losses, Science, 318, 753, https://doi.org/10.1126/science.1149628, 2007.
Brönnimann, S., Martius, O., von Waldow, H., Welker, C., Luterbacher,
J., Compo, G. P., Sardeshmukh, P. D., and Usbeck, T.: Extreme winds at
northern mid-latitudes since 1871, Meteorologische Z., 21, 13–27,
2012.
Brown, T. M., Pogorzelski, W. H., and Giammanco, I. M.: Evaluating hail
damage using property insurance claims data, Weather Clim. Soc.,
7, 197–210, 2015.
Browning, K.: The sting at the end of the tail: Damaging winds associated
with extratropical cyclones, Q. J. Roy. Meteor. Soc., 130, 375–399, 2004.
Changnon, S. A.: Temporal and spatial distributions of wind storm damages in
the United States, Climatic Change, 94, 473–482, 2009.
Clark, P. A. and Gray, S. L.: Sting jets in extratropical cyclones: a
review, Q. J. Roy. Meteor. Soc., 144, 943–969,
2018.
Copernicus: Climate Reanalysis, available at: https://climate.copernicus.eu/climate-reanalysis, last access: 6 June 2021.
Cunha, L. K., Smith, J. A., Krajewski, W. F., Baeck, M. L., and Seo, B.-C.:
NEXRAD NWS polarimetric precipitation product evaluation for IFloodS,
J. Hydrometeorol., 16, 1676–1699, 2015.
Della-Marta, P. M., Mathis, H., Frei, C., Liniger, M. A., Kleinn, J., and
Appenzeller, C.: The return period of wind storms over Europe, International
J. Climatol., 29, 437–459, https://doi.org/10.1002/joc.1794, 2009.
Dörenkämper, M., Olsen, B. T., Witha, B., Hahmann, A. N., Davis, N. N., Barcons, J., Ezber, Y., García-Bustamante, E., González-Rouco, J. F., Navarro, J., Sastre-Marugán, M., Sīle, T., Trei, W., Žagar, M., Badger, J., Gottschall, J., Sanz Rodrigo, J., and Mann, J.: The Making of the New European Wind Atlas – Part 2: Production and evaluation, Geosci. Model Dev., 13, 5079–5102, https://doi.org/10.5194/gmd-13-5079-2020, 2020.
Earl, N., Dorling, S., Starks, M., and Finch, R.: Subsynoptic-scale features
associated with extreme surface gusts in UK extratropical cyclone events,
Geophys. Res. Lett., 44, 3932–3940, 2017.
Eisenhauer, J. G.: Regression through the origin, Teaching statistics, 25,
76–80, 2003.
Feser, F., Barcikowska, M., Krueger, O., Schenk, F., Weisse, R., and Xia,
L.: Storminess over the North Atlantic and northwestern Europe – A review,
Q. J. Roy. Meteor. Soc., 141, 350–382, 2015.
Gall, M., Borden, K. A., and Cutter, S. L.: When do losses count? Six
fallacies of natural hazards loss data, B. Am. Meteorol. Soc., 90, 799–810, 2009.
Gall, M., Borden, K. A., Emrich, C. T., and Cutter, S. L.: The unsustainable
trend of natural hazard losses in the United States, Sustainability, 3,
2157–2181, 2011.
Golden, J. H. and Snow, J. T.: Mitigation against extreme windstorms,
Rev. Geophys., 29, 477–504, 1991.
Gramcianinov, C., Campos, R., de Camargo, R., Hodges, K., Soares, C. G., and
da Silva Dias, P.: Analysis of Atlantic extratropical storm tracks
characteristics in 41 years of ERA5 and CFSR/CFSv2 databases, Ocean
Eng., 216, 108111, https://doi.org/10.1016/j.oceaneng.2020.108111, 2020.
Halverson, J. B. and Rabenhorst, T.: Hurricane Sandy: The science and
impacts of a superstorm, Weatherwise, 66, 14–23, 2013.
Haylock, M. R.: European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models, Nat. Hazards Earth Syst. Sci., 11, 2847–2857, https://doi.org/10.5194/nhess-11-2847-2011, 2011.
Hersbach, H., Bell, B., Berrisford, P., Horányi, A., Sabater, J. M.,
Nicolas, J., Radu, R., Schepers, D., Simmons, A., and Soci, C.: Global
reanalysis: goodbye ERA-Interim, hello ERA5, ECMWF Newsl., 159, 17–24, 2019.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., and Schepers, D.:
The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, 2020.
Hewson, T. D. and Neu, U.: Cyclones, windstorms and the IMILAST project,
Tellus A., 67, 27128, https://doi.org/10.3402/tellusa.v67.27128, 2015.
Hirsch, M. E., DeGaetano, A. T., and Colucci, S. J.: An East Coast winter
storm climatology, J. Climate, 14, 882–899, 2001.
Hobbs, P. V., Locatelli, J. D., and Martin, J. E.: A new conceptual model
for cyclones generated in the lee of the Rocky Mountains, B. Am. Meteorol. Soc., 77, 1169–1178, 1996.
Hodges, K. I., Lee, R. W., and Bengtsson, L.: A Comparison of Extratropical
Cyclones in Recent Reanalyses ERA-Interim, NASA MERRA, NCEP CFSR, and
JRA-25, J. Climate, 24, 4888–4906, https://doi.org/10.1175/2011jcli4097.1, 2011.
Hoskins, B. J.: Theory of extratropical cyclones, in: Extratropical
Cyclones, edited by: Newton, C. W. and Holopainen, E. O., American
Meteorological Society, Boston, MA, American Meteorological Society, Boston,
MA, ISBN 978-1-944970-33-8, 63–80, 1990.
Hoskins, B. J. and Hodges, K. I.: New perspectives on the Northern
Hemisphere winter storm tracks, J. Atmos. Sci., 59,
1041-1061, 2002.
Huo, Z., Zhang, D.-L., Gyakum, J., and Staniforth, A.: A diagnostic analysis
of the superstorm of March 1993, Mon. Weather Rev., 123, 1740–1761,
1995.
Jeong, D. I., Cannon, A. J., and Zhang, X.: Projected changes to extreme freezing precipitation and design ice loads over North America based on a large ensemble of Canadian regional climate model simulations, Nat. Hazards Earth Syst. Sci., 19, 857–872, https://doi.org/10.5194/nhess-19-857-2019, 2019.
Jourdier, B.: Evaluation of ERA5, MERRA-2, COSMO-REA6, NEWA and AROME to
simulate wind power production over France, Adv. Sci. Res., 17, 63–77, 2020.
Kalverla, P. C., Duncan Jr., J. B., Steeneveld, G.-J., and Holtslag, A. A. M.: Low-level jets over the North Sea based on ERA5 and observations: together they do better, Wind Energ. Sci., 4, 193–209, https://doi.org/10.5194/wes-4-193-2019, 2019.
Kalverla, P. C., Holtslag, A. A. M., Ronda, R. J., and Steeneveld, G.-J.: Quality of wind characteristics in recent wind atlases over the North Sea, Q. J. Roy. Meteor. Soc., 146, 1498–1515, https://doi.org/10.1002/qj.3748, 2020.
Kitzmiller, D., Miller, D., Fulton, R., and Ding, F.: Radar and multisensor
precipitation estimation techniques in National Weather Service hydrologic
operations, J. Hydrol. Eng., 18, 133–142, 2013.
Klawa, M. and Ulbrich, U.: A model for the estimation of storm losses and the identification of severe winter storms in Germany, Nat. Hazards Earth Syst. Sci., 3, 725–732, https://doi.org/10.5194/nhess-3-725-2003, 2003.
Konisky, D. M., Hughes, L., and Kaylor, C. H.: Extreme weather events and
climate change concern, Climatic Change, 134, 533–547,
https://doi.org/10.1007/s10584-015-1555-3, 2016.
Krajewski, W. and Smith, J. A.: Radar hydrology: rainfall estimation,
Adv. Water Resour., 25, 1387–1394, 2002.
Kreibich, H., Van Den Bergh, J. C., Bouwer, L. M., Bubeck, P., Ciavola, P.,
Green, C., Hallegatte, S., Logar, I., Meyer, V., and Schwarze, R.: Costing
natural hazards, Nat. Clim. Change, 4, 303–306, 2014.
Lackmann, G. M.: Hurricane Sandy before 1900 and after 2100, B. Am Meteorol. Soc., 96, 547–560, 2015.
Lamb, H.: Historic Storms of the North Sea, British Isles and Northwest
Europe, Cambridge University Press, Cambridge, England, ISBN 978-0521619318, 228 pp., 1991.
Lareau, N. P. and Horel, J. D.: The climatology of synoptic-scale ascent
over western North America: A perspective on storm tracks, Mon. Weather Rev., 140, 1761–1778, 2012.
Larsén, X. G., Ott, S., Badger, J., Hahmann, A. N., and Mann, J.:
Recipes for correcting the impact of effective mesoscale resolution on the
estimation of extreme winds, J. Appl. Meteorol. Climatol.,
51, 521–533, 2012.
Letson, F., Barthelmie, R. J., and Pryor, S. C.: Radar-derived precipitation climatology for wind turbine blade leading edge erosion, Wind Energ. Sci., 5, 331–347, https://doi.org/10.5194/wes-5-331-2020, 2020.
Li, F., Chavas, D. R., Reed, K. A., and Dawson II, D. T.: Climatology of
severe local storm environments and synoptic-scale features over North
America in ERA5 reanalysis and CAM6 simulation, J. Climate, 33,
8339–8365, 2020.
Lopez, P.: Direct 4D-Var assimilation of NCEP stage IV radar and gauge
precipitation data at ECMWF, Mon. Weather Rev., 139, 2098–2116, 2011.
Lukens, K. E., Berbery, E. H., and Hodges, K. I.: The imprint of
strong-storm tracks on winter weather in North America, J. Climate,
31, 2057–2074, 2018.
Ma, C.-G. and Chang, E. K.: Impacts of Storm-Track Variations on Wintertime
Extreme Weather Events over the Continental United States, J. Climate, 30, 4601–4624, 2017.
Mailier, P. J., Stephenson, D. B., Ferro, C. A., and Hodges, K. I.: Serial
clustering of extratropical cyclones, Mon. Weather Rev., 134,
2224–2240, 2006.
Mann, J., Kristensen, L., and Jensen, N. O.: Uncertainties of extreme winds,
spectra, and coherences, in: Bridge Aerodynamics, edited by: Larsen, A. and
Esdahl, S., Balkerna, Rotterdam, 49–56, 1998.
Marchigiani, R., Gordy, S., Cipolla, J., Adams, R. C., Evans, D. C., Stehly,
C., Galwankar, S., Russell, S., Marco, A. P., and Kman, N.: Wind disasters:
A comprehensive review of current management strategies, International
journal of critical illness and injury science, 3, 130–142, https://doi.org/10.4103/2229-5151.114273, 2013.
Mills, E. and Jones, R. B.: An insurance perspective on US electric grid
disruption costs, The Geneva Papers on Risk and Insurance-Issues and
Practice, 41, 555–586, 2016.
Minola, L., Zhang, F., Azorín-Molina, C., Safaei Pirooz, A. A., Flay,
R., Hersbach, H., and Chen, D.: Near-surface mean and gust wind speeds in
ERA5 across Sweden: towards an improved gust parametrization, Clim.
Dynam., 55, 887–907, https://doi.org/10.1007/s00382-020-05302-6, 2020.
Munsell, E. B. and Zhang, F.: Prediction and uncertainty of Hurricane Sandy
(2012) explored through a real-time cloud-permitting ensemble analysis and
forecast system assimilating airborne Doppler radar observations, J. Adv. Model. Earth Sy., 6, 38–58, 2014.
Nadolski, V.: Automated Surface Observing System (ASOS) user's guide, available at: http://www.nws.noaa.gov/asos/pdfs/aum-toc.pdf (last access: 5 January 2018), 1998.
NCDC: Radar Data, available at: https://www.ncdc.noaa.gov/data-access/radar-data, last access: 6 June 2021.
NCEI: Automated Surface Observation System (ASOS), available at: https://www.ncdc.noaa.gov/data-access/land-based-station-data/land-based-datasets/automated-surface-observing-system-asos, last access: 6 June 2021a.
NCEI: Storm Events Database, available at: https://www.ncdc.noaa.gov/stormevents/, last access: 6 June 2021b.
Nelli, N. R., Temimi, M., Fonseca, R. M., Weston, M. J., Thota, M. S.,
Valappil, V. K., Branch, O., Wulfmeyer, V., Wehbe, Y., and Al Hosary, T.:
Impact of roughness length on WRF simulated land-atmosphere interactions
over a hyper-arid region, Earth and Space Science, 7, e2020EA001165,
https://doi.org/10.1029/2020EA001165, 2020.
NOAA: First Ice, Last Ice, and Ice Duration, available at: https://www.glerl.noaa.gov/data/ice/atlas/ice_duration/duration.html, last access: 6 June 2021.
Nyce, C., Dumm, R. E., Sirmans, G. S., and Smersh, G.: The capitalization of
insurance premiums in house prices, J. Risk Insur., 82,
891–919, 2015.
Olauson, J.: ERA5: The new champion of wind power modelling?, Renew.
Energ., 126, 322–331, 2018.
Pielke, R. A. and Landsea, C. W.: Normalized hurricane damages in the
United States: 1925–95, Weather Forecast., 13, 621–631, 1998.
Pinto, J. G., Ulbrich, S., Economou, T., Stephenson, D. B., Karremann, M.
K., and Shaffrey, L. C.: Robustness of serial clustering of extratropical
cyclones to the choice of tracking method, Tellus A, 68, 32204, https://doi.org/10.3402/tellusa.v68.32204, 2016.
Pryor, S. C., Barthelmie, R. J., Young, D. T., Takle, E. S., Arritt, R. W.,
Flory, D., Gutowski, W. J., Nunes, A., and Roads, J.: Wind speed trends over
the contiguous United States, J. Geophys. Res.-Atmos.,
114, D14105, https://doi.org/10.1029/2008JD011416, 2009.
Pryor, S. C., Barthelmie, R. J., Clausen, N., Drews, M., MacKellar, N., and
Kjellström, E.: Analyses of possible changes in intense and extreme wind
speeds over northern Europe under climate change scenarios, Clim.
Dynam., 38, 189–208, 2012.
Pryor, S. C., Shepherd, T. J., Bukovsky, M., and Barthelmie, R. J.:
Assessing the stability of wind resource and operating conditions, J. Phys. Conf. Ser., 1452, https://doi.org/10.1088/1742-6596/1452/1/012084, 2020.
Ramon, J., Lledó, L., Torralba, V., Soret, A., and Doblas-Reyes, F. J.:
What global reanalysis best represents near-surface winds?, Q. J. Roy. Meteor. Soc., 145, 3236–3251, 2019.
Roberts, J. F., Champion, A. J., Dawkins, L. C., Hodges, K. I., Shaffrey, L. C., Stephenson, D. B., Stringer, M. A., Thornton, H. E., and Youngman, B. D.: The XWS open access catalogue of extreme European windstorms from 1979 to 2012, Nat. Hazards Earth Syst. Sci., 14, 2487–2501, https://doi.org/10.5194/nhess-14-2487-2014, 2014.
Sadegh, M., Moftakhari, H., Gupta, H. V., Ragno, E., Mazdiyasni, O.,
Sanders, B., Matthew, R., and AghaKouchak, A.: Multihazard scenarios for
analysis of compound extreme events, Geophys. Res. Lett., 45,
5470–5480, 2018.
Sainsbury, E. M., Schiemann, R. K., Hodges, K. I., Shaffrey, L. C., Baker,
A. J., and Bhatia, K. T.: How Important are Post-Tropical Cyclones for
European Windstorm Risk?, Geophys. Res. Lett., 47, e2020GL089853, https://doi.org/10.1029/2020GL089853, 2020.
Schmitt IV, C. V.: A quality control algorithm for the ASOS ice free wind
sensor, Preprints, 13th Conf. on Integrated Observing and Assimilation
Systems for Atmosphere, Oceans, and Land Surface, Phoenix, AZ, Amer. Meteor.
Soc. A, 12, 1–5, 2009.
SEDAC: U.S. Census Grids: available at: https://sedac.ciesin.columbia.edu/data/collection/usgrid, last access: 10 September 2020.
Seo, B.-C., Dolan, B., Krajewski, W. F., Rutledge, S. A., and Petersen, W.:
Comparison of single-and dual-polarization–based rainfall estimates using
NEXRAD data for the NASA Iowa Flood Studies project, J. Hydrometeorol., 16, 1658–1675, 2015.
Shepherd, T. G., Boyd, E., Calel, R. A., Chapman, S. C., Dessai, S.,
Dima-West, I. M., Fowler, H. J., James, R., Maraun, D., and Martius, O.:
Storylines: an alternative approach to representing uncertainty in physical
aspects of climate change, Climatic change, 151, 555–571, 2018.
Sinclair, M. R.: An objective cyclone climatology for the Southern
Hemisphere, Mon. Weather Rev., 122, 2239–2256, 1994.
Sinh, H. N., Lombardo, F. T., Letchford, C. W., and Rosowsky, D. V.:
Characterization of Joint Wind and Ice Hazard in Midwestern United States,
Nat. Hazards Rev., 17, 04016004, https://doi.org/10.1061/(asce)nh.1527-6996.0000221, 2016.
Skamarock, W. C.: Evaluating mesoscale NWP models using kinetic energy
spectra, Mon. Weather Rev., 132, 3019–3032, 2004.
Smith, A. B. and Matthews, J. L.: Quantifying uncertainty and variable
sensitivity within the US billion-dollar weather and climate disaster cost
estimates, Nat. Hazards, 77, 1829–1851, 2015.
Smith, J. B.: The potential impacts of climate change on the Great Lakes,
B. Am. Meteorol. Soc., 72, 21–28, 1991.
Stephenson, D. B.: Definition, diagnosis, and origin of extreme weather and
climate events, in: Climate extremes and society, edited by: Diaz, H. F.
and Murnane, R. J., Cambridge University Press, 11–23, Cambridge, England, 2008.
Straka, J. M., Zrnić, D. S., and Ryzhkov, A. V.: Bulk hydrometeor
classification and quantification using polarimetric radar data: Synthesis
of relations, J. Appl. Meteorol., 39, 1341–1372, 2000.
Sun, C. and Liang, X.-Z.: Improving US extreme precipitation simulation:
sensitivity to physics parameterizations, Clim. Dynam., 54, 4891–4918,
2020.
Tarek, M., Brissette, F. P., and Arsenault, R.: Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America, Hydrol. Earth Syst. Sci., 24, 2527–2544, https://doi.org/10.5194/hess-24-2527-2020, 2020.
Thomas, B. C. and Martin, J. E.: A synoptic climatology and composite
analysis of the Alberta clipper, Weather Forecast., 22, 315–333,
https://doi.org/10.1175/waf982.1, 2007.
Tokay, A., Bashor, P. G., and McDowell, V. L.: Comparison of rain gauge
measurements in the mid-Atlantic region, J. Hydrometeorol., 11,
553–565, 2010.
Trapp, R. J., Wheatley, D. M., Atkins, N. T., Przybylinski, R. W., and Wolf,
R.: Buyer beware: Some words of caution on the use of severe wind reports in
postevent assessment and research, Weather Forecast., 21, 408–415,
2006.
U.S. Census Bureau: State Population Totals and Components of Change:
2010–2019, available at: https://www.census.gov/data/tables/time-series/demo/popest/2010s-state-total.html (last access: 10 September 2020), 2019.
Ulbrich, U., Fink, A., Klawa, M., and Pinto, J. G.: Three extreme storms
over Europe in December 1999, Weather, 56, 70–80, 2001.
Ulbrich, U., Leckebusch, G. C., and Pinto, J. G.: Extra-tropical cyclones in
the present and future climate: a review, Theor. Appl. Climatol., 96, 117–131, https://doi.org/10.1007/s00704-008-0083-8, 2009.
USGCRP: Impacts, Risks, and Adaptation in the United States: Fourth National
Climate Assessment, Volume II, U.S. Global Change Research Program,
Washington, DC, USA, 2018.
Varlas, G., Papadopoulos, A., and Katsafados, P.: An analysis of the
synoptic and dynamical characteristics of hurricane Sandy (2012),
Meteorol. Atmos. Phys., 131, 443–453, 2019.
Villarini, G. and Krajewski, W. F.: Review of the different sources of
uncertainty in single polarization radar-based estimates of rainfall,
Surv. Geophys., 31, 107–129, 2010.
Villarini, G., Mandapaka, P. V., Krajewski, W. F., and Moore, R. J.:
Rainfall and sampling uncertainties: A rain gauge perspective, J. Geophys. Res.-Atmos., 113, D11102, https://doi.org/10.1029/2007JD009214, 2008.
Vose, R. S., Applequist, S., Bourassa, M. A., Pryor, S. C., Barthelmie, R.
J., Blanton, B., Bromirski, P. D., Brooks, H. E., DeGaetano, A. T., and
Dole, R. M.: Monitoring and understanding changes in extremes: Extratropical
storms, winds, and waves, B. Am. Meteorol. Soc.,
95, 377–386, 2014.
Walz, M. A., Kruschke, T., Rust, H. W., Ulbrich, U., and Leckebusch, G. C.:
Quantifying the extremity of windstorms for regions featuring infrequent
events, Atmos. Sci. Lett., 18, 315–322, 2017.
Walz, M. A., Befort, D. J., Kirchner-Bossi, N. O., Ulbrich, U., and
Leckebusch, G. C.: Modelling serial clustering and inter-annual variability
of European winter windstorms based on large-scale drivers, Int.
J. Climatol., 38, 3044–3057, 2018.
Wan, H., Wang, X. L., and Swail, V. R.: Homogenization and Trend Analysis of
Canadian Near-Surface Wind Speeds, J. Climate, 23, 1209–1225,
https://doi.org/10.1175/2009jcli3200.1, 2010.
Wang, H. V., Loftis, J. D., Liu, Z., Forrest, D., and Zhang, J.: The storm
surge and sub-grid inundation modeling in New York City during Hurricane
Sandy, Journal of Marine Science and Engineering, 2, 226–246, 2014.
Wanik, D., Anagnostou, E., Hartman, B., Frediani, M., and Astitha, M.: Storm
outage modeling for an electric distribution network in Northeastern USA,
Nat. Hazards, 79, 1359–1384, 2015.
Wilks, D. S.: Statistical methods in the atmospheric sciences, International
geophysics series, Academic Press, Oxford, UK, ISBN: 9780123850225, 2011a.
Wilks, D. S.: Statistical methods in the atmospheric sciences, Academic
press, Cambridge, Massachusetts, 2011b.
Xian, S., Lin, N., and Hatzikyriakou, A.: Storm surge damage to residential
areas: a quantitative analysis for Hurricane Sandy in comparison with FEMA
flood map, Nat. Hazards, 79, 1867–1888, 2015.
Xiao, C., Lofgren, B. M., and Wang, J.: WRF-based assessment of the Great Lakes' impact on cold season synoptic cyclones,
Atmos. Res., 214, 189–203, https://doi.org/10.1016/j.atmosres.2018.07.020, 2018.
Young, A. M., Skelly, K. T., and Cordeira, J. M.: High-impact hydrologic
events and atmospheric rivers in California: An investigation using the NCEI
Storm Events Database, Geophys. Res. Lett., 44, 3393–3401,
https://doi.org/10.1002/2017gl073077, 2017.
Young, G. S. and Kristensen, L.: Surface-layer gusts for aircraft
operation, Bound.-Lay. Meteorol., 59, 231–242, https://doi.org/10.1007/bf00119814,
1992.
Zielinski, G. A.: A classification scheme for winter storms in the eastern
and central United States with an emphasis on nor'easters, B. Am. Meteorol. Soc., 83, 37–52, 2002.
Zoraghein, H. and O'Neill, B. C.: US State-level Projections of the Spatial
Distribution of Population Consistent with Shared Socioeconomic Pathways,
Sustainability, 12, 3374, https://doi.org/10.3390/su12083374, 2020.
Zscheischler, J., Westra, S., Van Den Hurk, B. J., Seneviratne, S. I., Ward,
P. J., Pitman, A., AghaKouchak, A., Bresch, D. N., Leonard, M., and Wahl,
T.: Future climate risk from compound events, Nat. Clim. Change, 8,
469–477, 2018.
Short summary
Windstorms during the last 40 years in the US Northeast are identified and characterized using the spatial extent of extreme wind speeds at 100 m height from the ERA5 reanalysis. During all of the top 10 windstorms, wind speeds exceeding the local 99.9th percentile cover at least one-third of the land area in this high-population-density region. These 10 storms followed frequently observed cyclone tracks but have intensities 5–10 times the mean values for cyclones affecting this region.
Windstorms during the last 40 years in the US Northeast are identified and characterized using...
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