Articles | Volume 17, issue 6
https://doi.org/10.5194/nhess-17-957-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-957-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
23 Jun 2017
Research article | Highlight paper |
| 23 Jun 2017
Statistical characteristics of convective wind gusts in Germany
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe, Germany
Michael Kunz
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe, Germany
Alexandra Richter
Institute for Hydromechanics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Bodo Ruck
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe, Germany
Institute for Hydromechanics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
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Susanna Mohr, Jannik Wilhelm, Jan Wandel, Michael Kunz, Raphael Portmann, Heinz Jürgen Punge, Manuel Schmidberger, Julian F. Quinting, and Christian M. Grams
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David Piper, Michael Kunz, Florian Ehmele, Susanna Mohr, Bernhard Mühr, Andreas Kron, and James Daniell
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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.
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
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.
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.
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.
Juan F. Dueñas, Edda Kunze, Huiying Li, and Matthias C. Rillig
EGUsphere, https://doi.org/10.5194/egusphere-2024-2566, https://doi.org/10.5194/egusphere-2024-2566, 2024
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We explored the possibility of adding mixtures composed of minimum dosages of several popular amendment types to soil. Adding mixtures of 3 to 5 amendment types substantially increased the capacity of soil to retain water, reduced soil erosion and increased microorganism abundance, while buffering soil from drastic changes in pH.
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.
Tiago M. Ferreira, Ricardo M. Trigo, Tomás H. Gaspar, Joaquim G. Pinto, and Alexandre M. Ramos
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-130, https://doi.org/10.5194/nhess-2024-130, 2024
Revised manuscript accepted for NHESS
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Here we investigate the synoptic evolution associated with the occurrence of an atmospheric river leading 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 day 12.
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.
Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah
EGUsphere, https://doi.org/10.5194/egusphere-2024-1742, https://doi.org/10.5194/egusphere-2024-1742, 2024
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Extreme rainfall comprises a major hydro-hazard 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 geographic setting.
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.
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.
Joseph William Gallear, Marcelo Valadares Galdos, Marcelo Zeri, and Andrew Hartley
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-60, https://doi.org/10.5194/nhess-2024-60, 2024
Revised manuscript accepted for NHESS
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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 impacts on vegetation health using machine learning. Results aim to inform future developments in operational drought monitoring at the National Center for Monitoring and Early Warning of Natural Disasters in Brazil (CEMADEN). This information is essential for disaster preparedness and planning of future actions to support areas affected by drought.
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.
François Collet, Margot Bador, Julien Boé, Laurent Dubus, and Bénédicte Jourdier
EGUsphere, https://doi.org/10.5194/egusphere-2024-903, https://doi.org/10.5194/egusphere-2024-903, 2024
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The objective of this study 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 high interannual variability and a decrease over the 1950–2022 period. We further show that the regional atmospheric circulation is an important driver of compound events occurence, but do not strongly contributes to the observed decrease.
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.
Marcos Roberto Benso, Roberto Fray Silva, Gabriela Gesualdo Chiquito, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, and Eduardo Mario Mendiondo
EGUsphere, https://doi.org/10.5194/egusphere-2023-3002, https://doi.org/10.5194/egusphere-2023-3002, 2024
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The production of food is susceptible to several climate hazards such as droughts, excessive rainfall, and heat waves. In this paper, we present a methodology that uses artificial intelligence for assessing the impact of climate risks on food production. Our methodology helps us to automatically select the most relevant indices and critical thresholds of these indices that when surpassed can increase the danger of crop yield loss.
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).
Cited articles
Abild, J., Andersen, E. Y., and Rosbjerg, D.: The climate of extreme winds at the Great Belt, Denmark, J. Wind Eng. Ind. Aerodyn., 41, 521–532, 1992.
Anderson, G. and Klugmann, D.: A European lightning density analysis using 5 years of ATDnet data, Nat. Hazards Earth Syst. Sci., 14, 815–829, https://doi.org/10.5194/nhess-14-815-2014, 2014.
ASCE: Minimum design loads for buildings and other structures (ASCE/SEI 7-10), Structural Engineering Institute, American Society of Civil Engineers, Reston, Virginia, USA, 2010.
Barthlott, C., Mühr, B., and Hoose, C.: Sensitivity of the 2014 Pentecost storms over Germany to different model grids and microphysics schemes, Q. J. Roy. Meteorol. Soc., 143, 1485–1503, 2017.
Brabson, B. B. and Palutikof, J. P.: Tests of the Generalized Pareto Distribution for predicting extreme wind speeds, J. Appl. Meteorol., 39, 1627–1641, 2000.
Bradbury, W. M. S. and Deaves, D. M.: The dependence of gust factor probabilities on convective activity: analysis conducted for Eurotunnel, Meteorol. Appl., 1, 159–164, 1994.
Bradbury, W. M. S., Deaves, D. M., Hunt, J. C. R., Kershaw, R., Nakamura, K., Hardman, M. E., and Bearman, P. W.: The importance of convective gusts, Meteorol. Appl., 1, 365–378, 1994.
Brasseur, O.: Development and application of a physical approach to estimating wind gusts, Mon. Weather Rev., 129, 5–25, 2001.
Chay, M. T., Wilson, R., and Albermani, F.: Gust occurrence in simulated non-stationary winds, J. Wind Eng. Ind. Aerodyn., 96, 2161–2172, 2008.
Chen, L. and Letchford, C. W.: Proper orthogonal decomposition of two vertical profiles of full-scale nonstationary downburst wind speeds, J. Wind Eng. Ind. Aerodyn., 93, 187–216, 2005.
Choi, E. C. C. and Hidayat, F. A.: Gust factors for thunderstorm and non-thunderstorm winds, J. Wind Eng. Ind. Aerodyn., 90, 1683–1696, 2002.
Coles, S., Bawa, J., Trenner, L., and Dorazio, P.: An introduction to statistical modeling of extreme values, Springer, London, UK, 2001.
Cook, N. J. and Harris, R. I.: Exact and general FT1 penultimate distributions of extreme wind speeds drawn from tail-equivalent Weibull parents, Struct. Saf., 26, 391–420, 2004.
Cook, N. J. and Harris, R. I.: Postscript to “Exact and general FT1 penultimate distributions of extreme wind speeds drawn from tail-equivalent Weibull parents”, Struct. Saf., 30, 1–10, 2008.
Cook, N. J., Harris, R. I., and Whiting, R.: Extreme wind speeds in mixed climates revisited, J. Wind Eng. Ind. Aerodyn., 91, 403–422, 2003.
Davenport, A. G.: Gust loading factors, J. Struct. Div., 93, 11–34, 1967.
De Gaetano, P., Repetto, M. P., Repetto, T., and Solari, G.: Separation and classification of extreme wind events from anemometric records, J. Wind Eng. Ind. Aerodyn., 126, 132–143, 2014.
De Meutter, P., Gerard, L., Smet, G., Hamid, K., Hamdi, R., Degrauwe, D., and Termonia, P.: Predicting small-scale, short-lived downbursts: case study with the NWP limited-area ALARO model for the Pukkelpop thunderstorm, Mon. Weather Rev., 143, 742–756, 2015.
DIN EN 1991-1-4:2010-12: Eurocode 1: Actions on structures – Part 1–4: General actions – Wind actions; German version EN 1991-1-4:2005 + A1:2010 + AC:2010, 2010.
Dotzek, N. and Friedrich, K.: Downburst-producing thunderstorms in southern Germany: Radar analysis and predictability, Atmos. Res., 93, 457–473, 2009.
Dotzek, N., Groenemeijer, P., Feuerstein, B., and Holzer, A. M.: Overview of ESSL's severe convective storms research using the European Severe Weather Database ESWD, Atmos. Res., 93, 575–586, 2009.
Drüe, C., Hauf, T., Finke, U., Keyn, S., and Kreyer, O.: Comparison of a SAFIR lightning detection network in northern Germany to the operational BLIDS network, J. Geophys. Res.-Atmos., 112, D18114, https://doi.org/10.1029/2006JD007680, 2007.
Durañona, V.: The significance of non-synoptic winds in the extreme wind climate of Uruguay, 14th Int. Conf. on Wind Eng., 21–26 June 2015, Porto Alegre, Brazil, 2015.
Efron, B. and Tibshirani, R. J.: An introduction to the bootstrap. Monographs on Statistics and Applied Probability 57, Chapman and Hall, New York, USA, 1993.
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. Meteorol. Soc., 141, 350–382, 2015.
Fisher, R. A. and Tippett, L. H. C.: Limiting forms of the frequency distribution of the largest or smallest member of a sample, Math. Proc. Cambridge Philos. Soc., 24, 180–190, 1928.
Friederichs, P., Göber, M., Bentzien, S., Lenz, A., and Krampitz, R.: A probabilistic analysis of wind gusts using extreme value statistics, Meteorol. Z., 18, 615–629, 2009.
Fujita, T. T.: Downbursts: Meteorological features and wind field characteristics, J. Wind Eng. Ind. Aerodyn., 36, 75–86, 1990.
Gatzen, C.: Warm-season severe wind events in Germany, Atmos. Res., 123, 197–205, 2013.
Gomes, L. and Vickery, B. J.: Extreme wind speeds in mixed wind climates, J. Wind Eng. Ind. Aerodyn., 2, 331–344, 1978.
Groenemeijer, P. and Kühne, T.: A climatology of tornadoes in Europe: Results from the European Severe Weather Database, Mon. Weather Rev., 142, 4775–4790, 2014.
Harris, I.: Generalised Pareto methods for wind extremes. Useful tool or mathematical mirage?, J. Wind Eng. Ind. Aerodyn., 93, 341–360, 2005.
Hofherr, T. and Kunz, M.: Extreme wind climatology of winter storms in Germany, Clim. Res., 41, 105–123, 2010.
Holmes, J. D.: A re-analysis of recorded extreme wind speeds in region A, Aust. J. Struct. Eng., 4, 29–40, 2002.
Holmes, J. D.: Wind loading of structures, CRC Press, Boca Raton, USA, 2015.
Holmes, J. D. and Moriarty, W. W.: Application of the generalized Pareto distribution to extreme value analysis in wind engineering – a peaks over threshold approach, J. Wind Eng. Ind. Aerodyn., 83, 1–10, 1999.
Holmes, J. D., Hangan, H. M., Schroeder, J. L., Letchford, C. W., and Orwig, K. D.: A forensic study of the Lubbock-Reese downdraft of 2002, Wind Struct., 11, 137–152, 2008.
Hosking, J. R. M. and Wallis, J. F.: Parameter and quantile estimation for the generalized pareto distribution, Technometrics, 29, 339–349, 1987.
Houze, R. A.: Cloud Dynamics (2nd Ed.), Elsevier Inc., Oxford, UK, 2014.
Jenkinson, A. F.: The frequency distribution of the annual maximum (or minimum) values of meteorological elements, Q. J. Roy. Meteorol. Soc., 81, 158–171, 1955.
Kasperski, M.: A new wind zone map of Germany, J. Wind Eng. Ind. Aerodyn., 90, 1271–1287, 2002.
Klingle, D. L., Smith, D. R., and Wolfson, M. M.: Gust front characteristics as detected by doppler radar, Mon. Weather Rev., 115, 905–918, 1987.
Kunz, M., Mohr, S., Rauthe, M., Lux, R., and Kottmeier, Ch.: Assessment of extreme wind speeds from Regional Climate Models – Part 1: Estimation of return values and their evaluation, Nat. Hazards Earth Syst. Sci., 10, 907–922, https://doi.org/10.5194/nhess-10-907-2010, 2010.
Lemon, L. R.: The radar “three-body scatter spike”: An operational large-hail signature, Weather Forecast., 13, 327–340, 1998.
Letchford, C. W., Mans, C., and Chay, M.: Thunderstorms – their importance in wind engineering (a case for the next generation wind tunnel), J. Wind Eng. Ind. Aerodyn., 90, 1415–1433, 2002.
Lombardo, F. T.: Improved extreme wind speed estimation for wind engineering applications, J. Wind Eng. Ind. Aerodyn., 104, 278–284, 2012.
Lombardo, F. T., Main, J. A., and Simiu, E.: Automated extraction and classification of thunderstorm and non-thunderstorm wind data for extreme-value analysis, J. Wind Eng. Ind. Aerodyn., 97, 120–131, 2009.
Lombardo, F. T., Smith, D. A., Schroeder, J. L., and Mehta, K. C.: Thunderstorm characteristics of importance to wind engineering, J. Wind Eng. Ind. Aerodyn., 125, 121–132, 2014.
Markowski, P. and Richardson, Y.: Mesoscale meteorology in midlatitudes, John Wiley & Sons, Chichester, UK, 2010.
Mathias, L., Ermert, V., Kelemen, F. D., Ludwig, P., and Pinto, J. G.: Synoptic analysis and hindcast of an intense bow echo in Western Europe: The 09 June 2014 storm, Weather Forecast., https://doi.org/10.1175/WAF-D-16-0192.1, in press, 2017.
Mohr, S. and Kunz, M.: Recent trends and variabilities of convective parameters relevant for hail events in Germany and Europe, Atmos. Res., 123, 211–228, 2013.
Mohr, S., Kunz, M., Richter, A., and Ruck, B.: Characteristics of convective gusts based on high temporal resolution measurements, J. Wind Eng. Ind. Aerodyn., in preparation, 2017.
Orwig, K. D. and Schroeder, J. L.: Near-surface wind characteristics of extreme thunderstorm outflows, J. Wind Eng. Ind. Aerodyn., 95, 565–584, 2007.
Palutikof, J. P., Brabson, B. B., Lister, D. H., and Adcock, S. T.: A review of methods to calculate extreme wind speeds, Meteorol. Appl., 6, 119–132, 1999.
Pantillon, F., Knippertz, P., Marsham, J. H., and Birch, C. E.: A parameterization of convective dust storms for models with mass-flux convection schemes, J. Atmos. Sci., 72, 2545–2561, 2015.
Piper, D. and Kunz, M.: Spatio-temporal variability of lightning activity in Europe and the relation to the North Atlantic Oscillation teleconnection pattern, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-35, in review, 2017.
Proctor, F. H.: Numerical simulations of an isolated microburst. Part II: Sensitivity experiments, J. Atmos. Sci., 46, 2143–2165, 1989.
Proctor, F. H.: Case study of a low-reflectivity pulsating microburst: Numerical simulation of the Denver, 8 July 1989, Storm, Tech. rep., NASA Langley Technical Report Server, 1993.
Puskeiler, M., Kunz, M., and Schmidberger, M.: Hail statistics for Germany derived from single-polarization radar data, Atmos. Res., 178–179, 459–470, 2016.
Rakov, V. A. and Uman, M. A.: Lightning: physics and effects, Cambridge University Press, Cambridge, UK, 2003.
Richter, A., Ruck, B., Mohr, S., and Kunz, M.: Ausbreitung von starken Fallböen innerhalb städtischer Strukturen, 24. Fachtagung Experimentelle Strömungsmechanik, 6–8 September 2016, Cottbus, Germany, 2016a.
Richter, A., Ruck, B., Mohr, S., and Kunz, M.: Interaction of severe convective gusts with a street canyon, Urban Clim., https://doi.org/10.1016/j.uclim.2016.11.003, in press, 2016b.
Schulz, W., Diendorfer, G., Pedeboy, S., and Poelman, D. R.: The European lightning location system EUCLID – Part 1: Performance analysis and validation, Nat. Hazards Earth Syst. Sci., 16, 595–605, https://doi.org/10.5194/nhess-16-595-2016, 2016.
Seregina, L. S., Haas, R., Born, K., and Pinto, J. G.: Development of a wind gust model to estimate gust speeds and their return periods, Tellus A, 66, 22905, https://doi.org/10.3402/tellusa.v66.22905, 2014.
Shu, Z. R., Li, Q. S., He, Y. C., and Chan, P. W.: Gust factors for tropical cyclone, monsoon and thunderstorm winds, J. Wind Eng. Ind. Aerodyn., 142, 1–14, 2015.
Simiu, E.: Discussion of “Generalized Pareto methods for wind extremes. Useful tool or mathematical mirage?” by Ian Harris, J. Wind Eng. Ind. Aerodyn., 95, 133–136, 2007.
Simiu, E. and Heckert, N. A.: Extreme wind distribution tails: a “peaks over threshold” approach, J. Struct. Eng., 122, 539–547, 1996.
Solari, G., Burlando, M., De Gaetano, P., and Repetto, M. P.: Characteristics of thunderstorms relevant to the wind loading of structures, Wind Struct., 20, 763–791, 2015.
Torrielli, A., Repetto, M. P., and Solari, G.: Extreme wind speeds from long-term synthetic records, J. Wind Eng. Ind. Aerodyn., 115, 22–38, 2013.
Tous, M. and Romero, R.: Towards a European climatology of meteorological parameters associated to the genesis of severe storms, Tethys, 3, 9–17, 2006.
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.
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, 2009.
Wakimoto, R. M.: Severe Convective Storms, chap. Convectively driven high wind events, 255–298, Meteor. Monogr., The American Meteorological Society, Bosten, USA, 2001.
Wapler, K.: High-resolution climatology of lightning characteristics within Central Europe, Meteorol. Atmos. Phys., 122, 175–184, 2013.
Wieringa, J.: Roughness-dependent geographical interpolation of surface wind speed averages, Q. J. Roy. Meteorol. Soc., 112, 867–889, 1986.
Wood, G. S., Kwok, K. C. S., Motteram, N. A., and Fletcher, D. F.: Physical and numerical modelling of thunderstorm downbursts, J. Wind Eng. Ind. Aerodyn., 89, 535–552, 2001.
World Meteorological Organization (WMO): WMO Guide to meteorological instruments and methods of observation, WMO No. 8, 2008 Edition, Updated in 2010, chap. Measurement of surface wind, World Meteorological Organization, Geneva, Switzerland, 2010.
Short summary
Due to the small-scale and non-stationary nature of the convective wind gusts usually associated with thunderstorms, there is a considerable lack of knowledge regarding their characteristics and statistics. Thus, we investigated the temporal and spatial distribution, intensity, and return values of those wind events in Germany. The study constitutes a fundamental addition to an improved understanding of convective wind gusts and serves as basis for further risk assessments.
Due to the small-scale and non-stationary nature of the convective wind gusts usually associated...
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