Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1513-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-1513-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A methodology to conduct wind damage field surveys for high-impact weather events of convective origin
Department of Applied Physics – Meteorology, University of Barcelona, Barcelona, 08028, Spain
Joan Bech
Department of Applied Physics – Meteorology, University of Barcelona, Barcelona, 08028, Spain
Juan de Dios Soriano
Agencia Estatal de Meteorología, Seville, 41092, Spain
Delia Gutiérrez
Agencia Estatal de Meteorología, Seville, 41092, Spain
Salvador Castán
Agencia Pericial, Cornellà de Llobregat, 08940, Spain
Related authors
No articles found.
Jesús Yus-Díez, Mireia Udina, Maria Rosa Soler, Marie Lothon, Erik Nilsson, Joan Bech, and Jielun Sun
Atmos. Chem. Phys., 19, 9495–9514, https://doi.org/10.5194/acp-19-9495-2019, https://doi.org/10.5194/acp-19-9495-2019, 2019
Short summary
Short summary
This study helps improve the understanding of the turbulence description and the interactions occurring in the lower part of the boundary layer. It is carried out at an orographically influenced site close to the Pyrenees to explore the hockey-stick transition (HOST) theory. HOST is seen to be strongly dependent on both the meteorological conditions and the orographic features. Examples of intermittent turbulence events that lead to transitions between the turbulence regimes are also identified.
L. Trapero, J. Bech, F. Duffourg, P. Esteban, and J. Lorente
Nat. Hazards Earth Syst. Sci., 13, 2969–2990, https://doi.org/10.5194/nhess-13-2969-2013, https://doi.org/10.5194/nhess-13-2969-2013, 2013
Related subject area
Atmospheric, Meteorological and Climatological Hazards
Investigation of an extreme rainfall event during 8–12 December 2018 over central Vietnam – Part 1: Analysis and cloud-resolving simulation
Increased spatial extent and likelihood of compound long-duration dry and hot events in China, 1961–2014
Validating a tailored drought risk assessment methodology: drought risk assessment in local Papua New Guinea regions
Seasonal fire danger forecasts for supporting fire prevention management in an eastern Mediterranean environment: the case of Attica, Greece
Uncovering the veil of night light changes in times of catastrophe
Time of emergence of compound events: contribution of univariate and dependence properties
Skillful decadal prediction of German Bight storm activity
Droughts in Germany: performance of regional climate models in reproducing observed characteristics
Analysis of the relationship between yield in cereals and remotely sensed fAPAR in the framework of monitoring drought impacts in Europe
Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area
Using high-resolution global climate models from the PRIMAVERA project to create a European winter windstorm event set
Real-time urban rainstorm and waterlogging disaster detection by Weibo users
Sensitivity of simulating Typhoon Haiyan (2013) using WRF: the role of cumulus convection, surface flux parameterizations, spectral nudging, and initial and boundary conditions
A satellite lightning observation operator for storm-scale numerical weather prediction
Lessons from the 2018–2019 European droughts: a collective need for unifying drought risk management
Idealized simulations of Mei-yu rainfall in Taiwan under uniform southwesterly flow using a cloud-resolving model
Hotspots for warm and dry summers in Romania
Development of a forecast-oriented kilometre-resolution ocean–atmosphere coupled system for western Europe and sensitivity study for a severe weather situation
Tropical cyclone storm surge probabilities for the east coast of the United States: a cyclone-based perspective
Hydrometeorological analysis of the 12 and 13 September 2019 widespread flash flooding in eastern Spain
Human influence on growing-period frosts like the early April 2021 in Central France
Monitoring the daily evolution and extent of snow drought
Challenges assessing the effect of AMVs to improve the predictability of a medicane weather event using the EnKF. Storm-scale analysis and short-range forecast
Characteristics of precipitation extremes over the Nordic region: added value of convection-permitting modeling
Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin
Invited perspectives: how does climate change affect the risk of natural hazards? Challenges and step changes from the reinsurance perspective
Nowcasting thunderstorm hazards using machine learning: the impact of data sources on performance
Variations and risk of extreme precipitation events with sub-daily data: a case study in the Gangjing river basin
Spatio-temporal evolution of wet–dry event features and their transition across the Upper Jhelum Basin (UJB) in South Asia
Precipitation stable isotopic signatures of tropical cyclones in Metropolitan Manila, Philippines, show significant negative isotopic excursions
Evaluation of Mei-yu heavy-rainfall quantitative precipitation forecasts in Taiwan by a cloud-resolving model for three seasons of 2012–2014
Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements
Applying machine learning for drought prediction in a perfect model framework using data from a large ensemble of climate simulations
Using high-resolution regional climate models to estimate return levels of daily extreme precipitation over Bavaria
An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions
A climatology of sub-seasonal temporal clustering of extreme precipitation in Switzerland and its links to extreme discharge
Impact of large wildfires on PM10 levels and human mortality in Portugal
Investigating 3D and 4D variational rapid-update-cycling assimilation of weather radar reflectivity for a heavy rain event in central Italy
Variability in lightning hazard over Indian region with respect to El Niño–Southern Oscillation (ENSO) phases
Social sensing of high-impact rainfall events worldwide: a benchmark comparison against manually curated impact observations
Attribution of the role of climate change in the forest fires in Sweden 2018
Invited perspectives: The ECMWF strategy 2021–2030 challenges in the area of natural hazards
Implementation of WRF-Hydro at two drainage basins in the region of Attica, Greece, for operational flood forecasting
Intense windstorms in the northeastern United States
Review article: Risk management framework of environmental hazards and extremes in Mediterranean ecosystems
Global ground strike point characteristics in negative downward lightning flashes – Part 1: Observations
Global ground strike point characteristics in negative downward lightning flashes – Part 2: Algorithm validation
Assessing internal changes in the future structure of dry–hot compound events: the case of the Pyrenees
Changes in drought features at the European level over the last 120 years
Assimilation of Himawari-8 imager radiance data with the WRF-3DVAR system for the prediction of Typhoon Soudelor
Chung-Chieh Wang and Duc Van Nguyen
Nat. Hazards Earth Syst. Sci., 23, 771–788, https://doi.org/10.5194/nhess-23-771-2023, https://doi.org/10.5194/nhess-23-771-2023, 2023
Short summary
Short summary
A record-breaking rainfall event over central Vietnam is investigated. Key factors include the combined effect of northeasterly wind, easterly wind blowing to central Vietnam from the western North Pacific (WNP), southeasterly wind, local topography, and high sea surface temperature (SST) over WNP and the South China Sea (SCS). The cloud-resolving storm simulator (CReSS) is applied to simulate this event. The results show that the model mostly captured the quantitative rainfall of this event.
Yi Yang, Douglas Maraun, Albert Ossó, and Jianping Tang
Nat. Hazards Earth Syst. Sci., 23, 693–709, https://doi.org/10.5194/nhess-23-693-2023, https://doi.org/10.5194/nhess-23-693-2023, 2023
Short summary
Short summary
This study quantifies the spatiotemporal variation and characteristics of compound long-duration dry and hot events in China over the 1961–2014 period. The results show that over the past few decades, there has been a substantial increase in the frequency of these compound events across most parts of China, which is dominated by rising temperatures. We detect a strong increase in the spatially contiguous areas experiencing concurrent dry and hot conditions.
Isabella Aitkenhead, Yuriy Kuleshov, Jessica Bhardwaj, Zhi-Weng Chua, Chayn Sun, and Suelynn Choy
Nat. Hazards Earth Syst. Sci., 23, 553–586, https://doi.org/10.5194/nhess-23-553-2023, https://doi.org/10.5194/nhess-23-553-2023, 2023
Short summary
Short summary
A case study assessing drought risk in Papua New Guinea (PNG) provinces for retrospective years (2014–2020) was conducted to demonstrate the development and validate the application of a tailored and semi-dynamic drought risk assessment methodology. Hazard, vulnerability, and exposure indicators appropriate for monitoring drought in PNG provinces were selected. The risk assessment accurately indicated a strong drought event in 2015–2016 and a moderate event in 2019.
Anna Karali, Konstantinos V. Varotsos, Christos Giannakopoulos, Panagiotis P. Nastos, and Maria Hatzaki
Nat. Hazards Earth Syst. Sci., 23, 429–445, https://doi.org/10.5194/nhess-23-429-2023, https://doi.org/10.5194/nhess-23-429-2023, 2023
Short summary
Short summary
As climate change leads to more frequent and severe fires, forecasting fire danger before fire season begins can support fire management. This study aims to provide high-resolution probabilistic seasonal fire danger forecasts in a Mediterranean environment and assess their ability to capture years with increased fire activity. Results indicate that forecasts are skillful in predicting above-normal fire danger conditions and can be exploited by regional authorities in fire prevention management.
Vincent Schippers and Wouter Botzen
Nat. Hazards Earth Syst. Sci., 23, 179–204, https://doi.org/10.5194/nhess-23-179-2023, https://doi.org/10.5194/nhess-23-179-2023, 2023
Short summary
Short summary
Researchers studying economic impacts of natural disasters increasingly use night light as a proxy for local economic activity, when socioeconomic data are unavailable. But often it is unclear what changes in light intensity represent in the context of disasters. We study this in detail for Hurricane Katrina and find a strong correlation with building damage and changes in population and employment. We conclude that night light data are useful to study local impacts of natural disasters.
Bastien François and Mathieu Vrac
Nat. Hazards Earth Syst. Sci., 23, 21–44, https://doi.org/10.5194/nhess-23-21-2023, https://doi.org/10.5194/nhess-23-21-2023, 2023
Short summary
Short summary
Compound events (CEs) result from a combination of several climate phenomena. In this study, we propose a new methodology to assess the time of emergence of CE probabilities and to quantify the contribution of marginal and dependence properties of climate phenomena to the overall CE probability changes. By applying our methodology to two case studies, we show the importance of considering changes in both marginal and dependence properties for future risk assessments related to CEs.
Daniel Krieger, Sebastian Brune, Patrick Pieper, Ralf Weisse, and Johanna Baehr
Nat. Hazards Earth Syst. Sci., 22, 3993–4009, https://doi.org/10.5194/nhess-22-3993-2022, https://doi.org/10.5194/nhess-22-3993-2022, 2022
Short summary
Short summary
Accurate predictions of storm activity are desirable for coastal management. We investigate how well a climate model can predict storm activity in the German Bight 1–10 years in advance. We let the model predict the past, compare these predictions to observations, and analyze whether the model is doing better than simple statistical predictions. We find that the model generally shows good skill for extreme periods, but the prediction timeframes with good skill depend on the type of prediction.
Dragan Petrovic, Benjamin Fersch, and Harald Kunstmann
Nat. Hazards Earth Syst. Sci., 22, 3875–3895, https://doi.org/10.5194/nhess-22-3875-2022, https://doi.org/10.5194/nhess-22-3875-2022, 2022
Short summary
Short summary
The influence of model resolution and settings on drought reproduction in Germany between 1980–2009 is investigated here. Outputs from a high-resolution model with settings tailored to the target region are compared to those from coarser-resolution models with more general settings. Gridded observational data sets serve as reference. Regarding the reproduction of drought characteristics, all models perform on a similar level, while for trends, only the modified model produces reliable outputs.
Carmelo Cammalleri, Niall McCormick, and Andrea Toreti
Nat. Hazards Earth Syst. Sci., 22, 3737–3750, https://doi.org/10.5194/nhess-22-3737-2022, https://doi.org/10.5194/nhess-22-3737-2022, 2022
Short summary
Short summary
We evaluated the ability of vegetation indices derived from satellite data to capture annual yield variations across Europe. The strength of the relationship varies throughout the year, with March–October representing the optimal period in most cases. Spatial differences were also observed, with the best results obtained in the Mediterranean regions.
Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret H. Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, and Johannes Quaas
Nat. Hazards Earth Syst. Sci., 22, 3701–3724, https://doi.org/10.5194/nhess-22-3701-2022, https://doi.org/10.5194/nhess-22-3701-2022, 2022
Short summary
Short summary
In a warming climate, extreme precipitation events are becoming more frequent. To advance our knowledge on such phenomena, we present a multidisciplinary analysis of a selected case study that took place on 29 June 2017 in the Berlin metropolitan area. Our analysis provides evidence of the extremeness of the case from the atmospheric and the impacts perspectives as well as new insights on the physical mechanisms of the event at the meteorological and climate scales.
Julia F. Lockwood, Galina S. Guentchev, Alexander Alabaster, Simon J. Brown, Erika J. Palin, Malcolm J. Roberts, and Hazel E. Thornton
Nat. Hazards Earth Syst. Sci., 22, 3585–3606, https://doi.org/10.5194/nhess-22-3585-2022, https://doi.org/10.5194/nhess-22-3585-2022, 2022
Short summary
Short summary
We describe how we developed a set of 1300 years' worth of European winter windstorm footprints, using a multi-model ensemble of high-resolution global climate models, for use by the insurance industry to analyse windstorm risk. The large amount of data greatly reduces uncertainty on risk estimates compared to using shorter observational data sets and also allows the relationship between windstorm risk and predictable large-scale climate indices to be quantified.
Haoran Zhu, Priscilla Obeng Oforiwaa, and Guofeng Su
Nat. Hazards Earth Syst. Sci., 22, 3349–3359, https://doi.org/10.5194/nhess-22-3349-2022, https://doi.org/10.5194/nhess-22-3349-2022, 2022
Short summary
Short summary
We promote a new method to detect waterlogging disasters. Residents are directly affected by waterlogging, and we can collect their comments on social networks. Compared to official-authentication and personal-certification users, the microblogs posted by general users can better show the intensity and timing of waterlogging. Through text and sentiment features, we can separate microblogs with waterlogging information from other ones and mark high-risk regions on maps.
Rafaela Jane Delfino, Gerry Bagtasa, Kevin Hodges, and Pier Luigi Vidale
Nat. Hazards Earth Syst. Sci., 22, 3285–3307, https://doi.org/10.5194/nhess-22-3285-2022, https://doi.org/10.5194/nhess-22-3285-2022, 2022
Short summary
Short summary
We showed the effects of altering the choice of cumulus schemes, surface flux options, and spectral nudging with a high level of sensitivity to cumulus schemes in simulating an intense typhoon. We highlight the advantage of using an ensemble of cumulus parameterizations to take into account the uncertainty in simulating typhoons such as Haiyan in 2013. This study is useful in addressing the growing need to plan and prepare for as well as reduce the impacts of intense typhoons in the Philippines.
Pauline Combarnous, Felix Erdmann, Olivier Caumont, Éric Defer, and Maud Martet
Nat. Hazards Earth Syst. Sci., 22, 2943–2962, https://doi.org/10.5194/nhess-22-2943-2022, https://doi.org/10.5194/nhess-22-2943-2022, 2022
Short summary
Short summary
The objective of this study is to prepare the assimilation of satellite lightning data in the French regional numerical weather prediction system. The assimilation of lightning data requires an observation operator, based on empirical relationships between the lightning observations and a set of proxies derived from the numerical weather prediction system variables. We fit machine learning regression models to our data to yield those relationships and to investigate the best proxy for lightning.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
Short summary
Short summary
Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Chung-Chieh Wang, Pi-Yu Chuang, Shi-Ting Chen, Dong-In Lee, and Kazuhisa Tsuboki
Nat. Hazards Earth Syst. Sci., 22, 1795–1817, https://doi.org/10.5194/nhess-22-1795-2022, https://doi.org/10.5194/nhess-22-1795-2022, 2022
Short summary
Short summary
In this study, cloud-resolving simulations are performed under idealized and uniform southwesterly flow direction and speed to investigate the rainfall regimes in the Mei-yu season and the role of complex mesoscale topography on rainfall without the influence of unwanted disturbances, including a low-Froude number regime where the thermodynamic effects and island circulation dominate, a high-Froude number regime where topographic rainfall in a flow-over scenario prevails, and a mixed regime.
Viorica Nagavciuc, Patrick Scholz, and Monica Ionita
Nat. Hazards Earth Syst. Sci., 22, 1347–1369, https://doi.org/10.5194/nhess-22-1347-2022, https://doi.org/10.5194/nhess-22-1347-2022, 2022
Short summary
Short summary
Here we have assessed the variability and trends of hot and dry summers in Romania. The length, spatial extent, and frequency of heat waves in Romania have increased significantly over the last 70 years, while no significant changes have been observed in the drought conditions. The increased frequency of heat waves, especially after the 1990s, could be partially explained by an increase in the geopotential height over the eastern part of Europe.
Joris Pianezze, Jonathan Beuvier, Cindy Lebeaupin Brossier, Guillaume Samson, Ghislain Faure, and Gilles Garric
Nat. Hazards Earth Syst. Sci., 22, 1301–1324, https://doi.org/10.5194/nhess-22-1301-2022, https://doi.org/10.5194/nhess-22-1301-2022, 2022
Short summary
Short summary
Most numerical weather and oceanic prediction systems do not consider ocean–atmosphere feedback during forecast, and this can lead to significant forecast errors, notably in cases of severe situations. A new high-resolution coupled ocean–atmosphere system is presented in this paper. This forecast-oriented system, based on current regional operational systems and evaluated using satellite and in situ observations, shows that the coupling improves both atmospheric and oceanic forecasts.
Katherine L. Towey, James F. Booth, Alejandra Rodriguez Enriquez, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 22, 1287–1300, https://doi.org/10.5194/nhess-22-1287-2022, https://doi.org/10.5194/nhess-22-1287-2022, 2022
Short summary
Short summary
Coastal flooding due to storm surge from tropical cyclones is a significant hazard. The influence of tropical cyclone characteristics, including its proximity, intensity, path angle, and speed, on the magnitude of storm surge is examined along the eastern United States. No individual characteristic was found to be strongly related to how much surge occurred at a site, though there is an increased likelihood of high surge occurring when tropical cyclones are both strong and close to a location.
Arnau Amengual
Nat. Hazards Earth Syst. Sci., 22, 1159–1179, https://doi.org/10.5194/nhess-22-1159-2022, https://doi.org/10.5194/nhess-22-1159-2022, 2022
Short summary
Short summary
On 12 and 13 September 2019, a long-lasting heavy precipitation episode resulted in widespread flash flooding over eastern Spain. Well-organized and quasi-stationary convective structures impacted a vast area with rainfall amounts over 200 mm. The very dry initial soil moisture conditions resulted in a dampened hydrological response: until runoff thresholds were exceeded, infiltration-excess generation did not start. This threshold-based behaviour is explored through simple scaling theory.
Robert Vautard, Geert Jan van Oldenborgh, Rémy Bonnet, Sihan Li, Yoann Robin, Sarah Kew, Sjoukje Philip, Jean-Michel Soubeyroux, Brigitte Dubuisson, Nicolas Viovy, Markus Reichstein, Friederike Otto, and Iñaki Garcia de Cortazar-Atauri
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-41, https://doi.org/10.5194/nhess-2022-41, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
A depp frost occurred in early April 2021, inducing severe damages in grapevine and fruit trees in France. We found that such extreme frosts occurring after the start of the growing season such as those of April 2021 are currently about 2 °C colder [0.5 °C to 3.3 °C] in observations than in pre-industrial climate. This observed intensification of growing-period frosts is attributable, at least in part, to human-caused climate change, making the 2021 event 50 % more likely [10 %–110 %].
Benjamin J. Hatchett, Alan M. Rhoades, and Daniel J. McEvoy
Nat. Hazards Earth Syst. Sci., 22, 869–890, https://doi.org/10.5194/nhess-22-869-2022, https://doi.org/10.5194/nhess-22-869-2022, 2022
Short summary
Short summary
Snow droughts, or below-average snowpack, can result from either dry conditions and/or rainfall instead of snowfall. Monitoring snow drought through time and across space is important to evaluate when snow drought onset occurred, its duration, spatial extent, and severity as well as what conditions created it or led to its termination. We present visualization techniques, including a web-based snow-drought-tracking tool, to evaluate snow droughts and assess their impacts in the western US.
Diego Saúl Carrió
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-58, https://doi.org/10.5194/nhess-2022-58, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
The accurate prediction of medicanes still remains a key challenge in the scientific community because of their poor predictability. In this study we assimilate different observations to improve the trajectory and intensity forecasts of the Qendresa's medicane. Results show the importance of using data assimilation techniques to improve the estimate of the atmospheric flow in the upper level atmosphere, which has been showed key to improve the prediction of Qendresa.
Erika Médus, Emma D. Thomassen, Danijel Belušić, Petter Lind, Peter Berg, Jens H. Christensen, Ole B. Christensen, Andreas Dobler, Erik Kjellström, Jonas Olsson, and Wei Yang
Nat. Hazards Earth Syst. Sci., 22, 693–711, https://doi.org/10.5194/nhess-22-693-2022, https://doi.org/10.5194/nhess-22-693-2022, 2022
Short summary
Short summary
We evaluate the skill of a regional climate model, HARMONIE-Climate, to capture the present-day characteristics of heavy precipitation in the Nordic region and investigate the added value provided by a convection-permitting model version. The higher model resolution improves the representation of hourly heavy- and extreme-precipitation events and their diurnal cycle. The results indicate the benefits of convection-permitting models for constructing climate change projections over the region.
Florian Ehmele, Lisa-Ann Kautz, Hendrik Feldmann, Yi He, Martin Kadlec, Fanni D. Kelemen, Hilke S. Lentink, Patrick Ludwig, Desmond Manful, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 22, 677–692, https://doi.org/10.5194/nhess-22-677-2022, https://doi.org/10.5194/nhess-22-677-2022, 2022
Short summary
Short summary
For various applications, it is crucial to have profound knowledge of the frequency, severity, and risk of extreme flood events. Such events are characterized by very long return periods which observations can not cover. We use a large ensemble of regional climate model simulations as input for a hydrological model. Precipitation data were post-processed to reduce systematic errors. The representation of precipitation and discharge is improved, and estimates of long return periods become robust.
Anja T. Rädler
Nat. Hazards Earth Syst. Sci., 22, 659–664, https://doi.org/10.5194/nhess-22-659-2022, https://doi.org/10.5194/nhess-22-659-2022, 2022
Short summary
Short summary
Natural disasters are causing high losses worldwide. To adequately deal with this loss potential, a reinsurer has to quantitatively assess the individual risks of natural catastrophes and how these risks are changing over time with respect to climate change. From a reinsurance perspective, the most pressing scientific challenges related to natural hazards are addressed, and broad changes are suggested that should be achieved by the scientific community to address these hazards in the future.
Jussi Leinonen, Ulrich Hamann, Urs Germann, and John R. Mecikalski
Nat. Hazards Earth Syst. Sci., 22, 577–597, https://doi.org/10.5194/nhess-22-577-2022, https://doi.org/10.5194/nhess-22-577-2022, 2022
Short summary
Short summary
We evaluate the usefulness of different data sources and variables to the short-term prediction (
nowcasting) of severe thunderstorms using machine learning. Machine-learning models are trained with data from weather radars, satellite images, lightning detection and weather forecasts and with terrain elevation data. We analyze the benefits provided by each of the data sources to predicting hazards (heavy precipitation, lightning and hail) caused by the thunderstorms.
Guangxu Liu, Aicun Xiang, Zhiwei Wan, Yang Zhou, Jie Wu, Yuandong Wang, and Sichen Lin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-412, https://doi.org/10.5194/nhess-2021-412, 2022
Revised manuscript accepted for NHESS
Short summary
Short summary
Analysing extreme precipitation with sub-daily records would reduce uncertainty in flood risk. This paper focusses on investigating the thresholds of extreme precipitation using sub-daily records in the Ganjiang river basin using Gamma distribution, the L-moment metho and M-K test. Main findings were: (1) the intensity and occasional probability of precipitation events would increase in spring; (2) Elevation and low-level jet, the southward route of typhoons were the key factors for flood risk.
Rubina Ansari and Giovanna Grossi
Nat. Hazards Earth Syst. Sci., 22, 287–302, https://doi.org/10.5194/nhess-22-287-2022, https://doi.org/10.5194/nhess-22-287-2022, 2022
Short summary
Short summary
The current research investigated spatio-temporal evolution of wet–dry events collectively, their characteristics, and their transition (wet to dry and dry to wet) across the Upper Jhelum Basin using the standardized precipitation evapotranspiration (SPEI) at a monthly timescale. The results provide significant knowledge to identify and locate most vulnerable geographical hotspots of extreme events, providing the basis for more effective risk reduction and climate change adaptation plans.
Dominik Jackisch, Bi Xuan Yeo, Adam D. Switzer, Shaoneng He, Danica Linda M. Cantarero, Fernando P. Siringan, and Nathalie F. Goodkin
Nat. Hazards Earth Syst. Sci., 22, 213–226, https://doi.org/10.5194/nhess-22-213-2022, https://doi.org/10.5194/nhess-22-213-2022, 2022
Short summary
Short summary
The Philippines is a nation very vulnerable to devastating typhoons. We investigate if stable isotopes of precipitation can be used to detect typhoon activities in the Philippines based on daily isotope measurements from Metropolitan Manila. We find that strong typhoons such as Rammasun, which occurred in July 2014, leave detectable isotopic signals in precipitation. Besides other factors, the distance of the typhoon to the sampling site plays a key role in influencing the signal.
Chung-Chieh Wang, Pi-Yu Chuang, Chih-Sheng Chang, Kazuhisa Tsuboki, Shin-Yi Huang, and Guo-Chen Leu
Nat. Hazards Earth Syst. Sci., 22, 23–40, https://doi.org/10.5194/nhess-22-23-2022, https://doi.org/10.5194/nhess-22-23-2022, 2022
Short summary
Short summary
This study indicated that the Cloud-Resolving Storm Simulator (CReSS) model significantly improved heavy-rainfall quantitative precipitation forecasts in the Taiwan Mei-yu season. At high resolution, the model has higher threat scores and is more skillful in predicting larger rainfall events compared to smaller ones. And the strength of the model mainly lies in the topographic rainfall rather than less predictable and migratory events due to nonlinearity.
Matthieu Plu, Guillaume Bigeard, Bojan Sič, Emanuele Emili, Luca Bugliaro, Laaziz El Amraoui, Jonathan Guth, Beatrice Josse, Lucia Mona, and Dennis Piontek
Nat. Hazards Earth Syst. Sci., 21, 3731–3747, https://doi.org/10.5194/nhess-21-3731-2021, https://doi.org/10.5194/nhess-21-3731-2021, 2021
Short summary
Short summary
Volcanic eruptions that spread out ash over large areas, like Eyjafjallajökull in 2010, may have huge economic consequences due to flight cancellations. In this article, we demonstrate the benefits of source term improvement and of data assimilation for quantifying volcanic ash concentrations. The work, which was supported by the EUNADICS-AV project, is the first one, to our knowledge, that demonstrates the benefit of the assimilation of ground-based lidar data over Europe during an eruption.
Elizaveta Felsche and Ralf Ludwig
Nat. Hazards Earth Syst. Sci., 21, 3679–3691, https://doi.org/10.5194/nhess-21-3679-2021, https://doi.org/10.5194/nhess-21-3679-2021, 2021
Short summary
Short summary
This study applies artificial neural networks to predict drought occurrence in Munich and Lisbon, with a lead time of 1 month. An analysis of the variables that have the highest impact on the prediction is performed. The study shows that the North Atlantic Oscillation index and air pressure 1 month before the event have the highest importance for the prediction. Moreover, it shows that seasonality strongly influences the goodness of prediction for the Lisbon domain.
Benjamin Poschlod
Nat. Hazards Earth Syst. Sci., 21, 3573–3598, https://doi.org/10.5194/nhess-21-3573-2021, https://doi.org/10.5194/nhess-21-3573-2021, 2021
Short summary
Short summary
Three regional climate models (RCMs) are used to simulate extreme daily rainfall in Bavaria statistically occurring once every 10 or even 100 years. Results are validated with observations. The RCMs can reproduce spatial patterns and intensities, and setups with higher spatial resolutions show better results. These findings suggest that RCMs are suitable for assessing the probability of the occurrence of such rare rainfall events.
Matthieu Plu, Barbara Scherllin-Pirscher, Delia Arnold Arias, Rocio Baro, Guillaume Bigeard, Luca Bugliaro, Ana Carvalho, Laaziz El Amraoui, Kurt Eschbacher, Marcus Hirtl, Christian Maurer, Marie D. Mulder, Dennis Piontek, Lennart Robertson, Carl-Herbert Rokitansky, Fritz Zobl, and Raimund Zopp
Nat. Hazards Earth Syst. Sci., 21, 2973–2992, https://doi.org/10.5194/nhess-21-2973-2021, https://doi.org/10.5194/nhess-21-2973-2021, 2021
Short summary
Short summary
Past volcanic eruptions that spread out ash over large areas, like Eyjafjallajökull in 2010, forced the cancellation of thousands of flights and had huge economic consequences.
In this article, an international team in the H2020 EU-funded EUNADICS-AV project has designed a probabilistic model approach to quantify ash concentrations. This approach is evaluated against measurements, and its potential use to mitigate the impact of future large-scale eruptions is discussed.
Alexandre Tuel and Olivia Martius
Nat. Hazards Earth Syst. Sci., 21, 2949–2972, https://doi.org/10.5194/nhess-21-2949-2021, https://doi.org/10.5194/nhess-21-2949-2021, 2021
Short summary
Short summary
Extreme river discharge may be triggered by large accumulations of precipitation over short time periods, which can result from the successive occurrence of extreme-precipitation events. We find a distinct spatiotemporal pattern in the temporal clustering behavior of precipitation extremes over Switzerland, with clustering occurring on the northern side of the Alps in winter and on their southern side in fall. Clusters tend to be followed by extreme discharge, particularly in the southern Alps.
Patricia Tarín-Carrasco, Sofia Augusto, Laura Palacios-Peña, Nuno Ratola, and Pedro Jiménez-Guerrero
Nat. Hazards Earth Syst. Sci., 21, 2867–2880, https://doi.org/10.5194/nhess-21-2867-2021, https://doi.org/10.5194/nhess-21-2867-2021, 2021
Short summary
Short summary
Uncontrolled wildfires have a substantial impact on the environment and local populations. Although most southern European countries have been impacted by wildfires in the last decades, Portugal has the highest percentage of burned area compared to its whole territory. Under this umbrella, associations between large fires, PM10, and all-cause and cause-specific mortality (circulatory and respiratory) have been explored using Poisson regression models for 2001–2016.
Vincenzo Mazzarella, Rossella Ferretti, Errico Picciotti, and Frank Silvio Marzano
Nat. Hazards Earth Syst. Sci., 21, 2849–2865, https://doi.org/10.5194/nhess-21-2849-2021, https://doi.org/10.5194/nhess-21-2849-2021, 2021
Short summary
Short summary
Forecasting precipitation over the Mediterranean basin is still a challenge. In this context, data assimilation techniques play a key role in improving the initial conditions and consequently the timing and position of the precipitation forecast. For the first time, the ability of a cycling 4D-Var to reproduce a heavy rain event in central Italy, as well as to provide a comparison with the largely used cycling 3D-Var, is evaluated in this study.
Avaronthan Veettil Sreenath, Sukumarapillai Abhilash, and Pattathil Vijaykumar
Nat. Hazards Earth Syst. Sci., 21, 2597–2609, https://doi.org/10.5194/nhess-21-2597-2021, https://doi.org/10.5194/nhess-21-2597-2021, 2021
Short summary
Short summary
Lightning is a multifaceted hazard with widespread negative consequences for the environment and society. We explore how El Niño–Southern Oscillation (ENSO) phases impact the lightning over India by modulating the deep convection and associated atmospheric thermodynamics. Results show that ENSO phases directly influence lightning during monsoon and postmonsoon seasons by pushing the mean position of subtropical westerlies southward.
Michelle D. Spruce, Rudy Arthur, Joanne Robbins, and Hywel T. P. Williams
Nat. Hazards Earth Syst. Sci., 21, 2407–2425, https://doi.org/10.5194/nhess-21-2407-2021, https://doi.org/10.5194/nhess-21-2407-2021, 2021
Short summary
Short summary
Despite increased use of impact-based weather warnings, the social impacts of extreme weather events lie beyond the reach of conventional meteorological observations and remain difficult to quantify. This study compares data collected from the social media platform Twitter with a manually curated database of high-impact rainfall events across the globe between January–June 2017. Twitter is found to be a good detector of impactful rainfall events and, therefore, a useful source of impact data.
Folmer Krikken, Flavio Lehner, Karsten Haustein, Igor Drobyshev, and Geert Jan van Oldenborgh
Nat. Hazards Earth Syst. Sci., 21, 2169–2179, https://doi.org/10.5194/nhess-21-2169-2021, https://doi.org/10.5194/nhess-21-2169-2021, 2021
Short summary
Short summary
In this study, we analyse the role of climate change in the forest fires that raged through large parts of Sweden in the summer of 2018 from a meteorological perspective. This is done by studying observationally constrained data and multiple climate models. We find a small reduced probability of such events, based on reanalyses, but a small increased probability due to global warming up to now and a more robust increase in the risk for such events in the future, based on climate models.
Florian Pappenberger, Florence Rabier, and Fabio Venuti
Nat. Hazards Earth Syst. Sci., 21, 2163–2167, https://doi.org/10.5194/nhess-21-2163-2021, https://doi.org/10.5194/nhess-21-2163-2021, 2021
Short summary
Short summary
The European Centre for Medium-Range Weather Forecasts mission is to deliver high-quality global medium‐range (3–15 d ahead of time) weather forecasts and monitoring of the Earth system. We have published a new strategy, and in this paper we discuss what this means for forecasting and monitoring natural hazards.
Elissavet Galanaki, Konstantinos Lagouvardos, Vassiliki Kotroni, Theodore Giannaros, and Christos Giannaros
Nat. Hazards Earth Syst. Sci., 21, 1983–2000, https://doi.org/10.5194/nhess-21-1983-2021, https://doi.org/10.5194/nhess-21-1983-2021, 2021
Short summary
Short summary
A two-way coupled hydrometeorological model (WRF-Hydro) is used for flood forecasting purposes in medium-catchment-size basins in Greece. The results showed the capability of WRF-Hydro to adequately simulate the observed discharge and the slight improvement in terms of quantitative precipitation forecasting compared to the WRF-only simulations.
Frederick W. Letson, Rebecca J. Barthelmie, Kevin I. Hodges, and Sara C. Pryor
Nat. Hazards Earth Syst. Sci., 21, 2001–2020, https://doi.org/10.5194/nhess-21-2001-2021, https://doi.org/10.5194/nhess-21-2001-2021, 2021
Short summary
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.
Panagiotis T. Nastos, Nicolas R. Dalezios, Ioannis N. Faraslis, Kostas Mitrakopoulos, Anna Blanta, Marios Spiliotopoulos, Stavros Sakellariou, Pantelis Sidiropoulos, and Ana M. Tarquis
Nat. Hazards Earth Syst. Sci., 21, 1935–1954, https://doi.org/10.5194/nhess-21-1935-2021, https://doi.org/10.5194/nhess-21-1935-2021, 2021
Short summary
Short summary
Risk assessment consists of three steps: identification, estimation and evaluation. Nevertheless, the risk management framework also includes a fourth step, the need for feedback on all the risk assessment undertakings. However, there is a lack of such feedback, which constitutes a serious deficiency in the reduction of environmental hazards at the present time. The objective of this review paper consists of addressing meteorological hazards and extremes within the risk management framework.
Dieter R. Poelman, Wolfgang Schulz, Stephane Pedeboy, Dustin Hill, Marcelo Saba, Hugh Hunt, Lukas Schwalt, Christian Vergeiner, Carlos T. Mata, Carina Schumann, and Tom Warner
Nat. Hazards Earth Syst. Sci., 21, 1909–1919, https://doi.org/10.5194/nhess-21-1909-2021, https://doi.org/10.5194/nhess-21-1909-2021, 2021
Short summary
Short summary
Information about lightning properties is important in order to advance the current understanding of lightning, whereby the characteristics of ground strike points are in particular helpful to improving the risk estimation for lightning protection. High-speed video recordings of 1174 negative downward lightning flashes are taken in different regions around the world and analyzed in terms of flash multiplicity, duration, interstroke intervals and ground strike point properties.
Dieter R. Poelman, Wolfgang Schulz, Stephane Pedeboy, Leandro Z. S. Campos, Michihiro Matsui, Dustin Hill, Marcelo Saba, and Hugh Hunt
Nat. Hazards Earth Syst. Sci., 21, 1921–1933, https://doi.org/10.5194/nhess-21-1921-2021, https://doi.org/10.5194/nhess-21-1921-2021, 2021
Short summary
Short summary
The lightning flash density is a key input parameter for assessing the risk of occurrence of a lightning strike. Flashes tend to have more than one ground termination point on average; therefore the use of ground strike point densities is more appropriate. The aim of this study is to assess the ability of three distinct ground strike point algorithms to correctly determine the observed ground-truth strike points.
Marc Lemus-Canovas and Joan Albert Lopez-Bustins
Nat. Hazards Earth Syst. Sci., 21, 1721–1738, https://doi.org/10.5194/nhess-21-1721-2021, https://doi.org/10.5194/nhess-21-1721-2021, 2021
Short summary
Short summary
We present research that attempts to address recent and future changes in hot and dry compound events in the Pyrenees, which can induce severe environmental hazards in this area. The results show that during the last few decades, these kinds of compound events have only increased due to temperature increase. However, for the future, it is expected that the risk associated with these compound events will be raised by both the thermal increase and the longer duration of drought periods.
Monica Ionita and Viorica Nagavciuc
Nat. Hazards Earth Syst. Sci., 21, 1685–1701, https://doi.org/10.5194/nhess-21-1685-2021, https://doi.org/10.5194/nhess-21-1685-2021, 2021
Short summary
Short summary
By analyzing the joint frequency of compound events (e.g., high temperatures and droughts), we show that the potential evapotranspiration and mean air temperature are becoming essential components for drought occurrence over Central Europe and the Mediterranean region. This, together with the projected increase in potential evapotranspiration under a warming climate, has significant implications concerning the future occurrence of drought events over these regions.
Feifei Shen, Aiqing Shu, Hong Li, Dongmei Xu, and Jinzhong Min
Nat. Hazards Earth Syst. Sci., 21, 1569–1582, https://doi.org/10.5194/nhess-21-1569-2021, https://doi.org/10.5194/nhess-21-1569-2021, 2021
Short summary
Short summary
The Advanced Himawari Imager (AHI) on Himawari-8 can continuously monitor high-impact weather events with high frequency in space and time. The assimilation of AHI radiance data was implemented with the three-dimensional variational data assimilation system of the Weather Research and Forecasting Model for the analysis and prediction of Typhoon Soudelor (2015) in the Pacific typhoon season.
Cited articles
Antonescu, B., Schultz, D. M., Lomas, F., and Kühne, T.: Tornadoes in Europe: Synthesis of the observational datasets, Mon. Weather Rev., 144, 2445–2480, https://doi.org/10.1175/MWR-D-15-0298.1, 2016. a
Antonescu, B., Schultz, D. M., Holzer, A., and Groenemeijer, P.: Tornadoes in Europe: An underestimated threat, B. Am. Meteorol. Soc., 98, 713–728, https://doi.org/10.1175/BAMS-D-16-0171.1, 2017. a
Ashley, W. S., Strader, S., Rosencrants, T. D., and Krmenec, A. J.: Spatiotemporal Changes in Tornado Hazard Exposure: The Case of the Expanding Bull’s-Eye Effect in Chicago, Illinois, Weather Clim. Soc., 6, 175–193, https://doi.org/10.1175/WCAS-D-13-00047.1, 2014. a
Bai, L., Meng, Z., Huang, L., Yan, L., Li, Z., Mai, X., Huang, Y., Yao, D., and Wang, X.: An Integrated Damage, Visual, and Radar Analysis of the 2015 Foshan, Guangdong, EF3 Tornado in China Produced by the Landfalling Typhoon Mujigae (2015), B. Am. Meteorol. Soc., 98, 2619–2640, https://doi.org/10.1175/BAMS-D-16-0015.1, 2017. a
Bech, J., Pascual, R., Rigo, T., Pineda, N., López, J. M., Arús, J., and Gayà, M.: An observational study of the 7 September 2005 Barcelona tornado outbreak, Nat. Hazards Earth Syst. Sci., 7, 129–139, https://doi.org/10.5194/nhess-7-129-2007, 2007. a
Bech, J., Gayà, M., Aran, M., Figuerola, F., Amaro, J., and Arús, J.: Tornado damage analysis of a forest area using site survey observations, radar data and a simple analytical vortex model, Atmos. Res., 93, 118–130, https://doi.org/10.1016/j.atmosres.2008.10.016, 2009. a, b, c, d, e, f, g, h, i, j, k
Bech, J., Pineda, N., Rigo, T., Aran, M., Amaro, J., Gayà, M., Arús, J., Montanyà, J., and van der Velde, O.: A Mediterranean nocturnal heavy rainfall and tornadic event. Part I: Overview, damage survey and radar analysis, Atmos. Res., 100, 621–637, https://doi.org/10.1016/j.atmosres.2010.12.024, 2011. a, b, c, d
Bech, J., Pineda, N., Rigo, T., and Aran, M.: Remote sensing analysis of a Mediterranean thundersnow and low-altitude heavy snowfall event, Atmos. Res., 123, 305–322, https://doi.org/10.1016/j.atmosres.2012.06.021, 2013. a
Bech, J., Arús, J., Castán, C., Pineda, N., Rigo, T., Montanyà, J., and van der Velde, O.: A study of the 21 March 2012 tornadic quasi linear convective system in Catalonia, Atmos. Res., 158–159, 192–209, https://doi.org/10.1016/j.atmosres.2014.08.009, 2015. a, b, c, d
Beck, V., and Dotzek, N.: Reconstruction of Near-Surface Tornado Wind Fields from Forest Damage, J. Appl. Meteorol. Clim., 49, 1517–1537, https://doi.org/10.1175/2010JAMC2254.1, 2010. a, b
Beven, K. J., Aspinall, W. P., Bates, P. D., Borgomeo, E., Goda, K., Hall, J. W., Page, T., Phillips, J. C., Simpson, M., Smith, P. J., Wagener, T., and Watson, M.: Epistemic uncertainties and natural hazard risk assessment – Part 2: What should constitute good practice?, Nat. Hazards Earth Syst. Sci., 18, 2769–2783, https://doi.org/10.5194/nhess-18-2769-2018, 2018. a, b
Burgess, D., Ortega, K., Stumpf, G., Garfield, G., Kartens, C., Meyer, T., and Smith, B.: 20 May 2013 Moore, Oklahoma, Tornado: Damage Survey and Analysis, Weather Forecast., 29, 1229–1237, https://doi.org/10.1175/WAF-D-14-00039.1, 2014. a, b, c
Cannon, J. B., Hepinstall-Cymerman, J., Godfrey, C. M., and Peterson, C. J.: Landscape-scale characteristics of forest tornado damage in mountainous terrain, Landscape Ecol., 31, 2097–2114, https://doi.org/10.1007/s10980-016-0384-8, 2016. a
Chernokulsky, A. and Shikhov, A.: 1984 Ivanovo tornado outbreak: Determination of actual tornado tracks with satellite data, Atmos. Res., 207, 111–121, https://doi.org/10.1016/j.atmosres.2018.02.011, 2018. a, b
Chmielewski, T., Szer, J., and Bobra, P.: Derecho wind storm in Poland on 11–12 August 2017: results of the post-disaster investigation, Environ. Hazards, 0, 1–21, https://doi.org/10.1080/17477891.2020.1730154, 2020. a
De Groeve, T., Poljansek, K., and Ehrlich, D.: Recording disasters losses: recommendation for a European approach. JRC Scientific and Policy Report, available at: http://publications.jrc.ec.europa.eu/repository/bitstream/111111111/29296/1/lbna26111enn.pdf (last access: 2 December 2019), 2013. a
De Groeve, T., Poljansek, K., Ehrlich D., and Corbane C.: Current status and best practices for disaster loss data recording in EU Member States. JRC Scientific and Policy Report, available at: http://publications.jrc.ec.europa.eu/repository/bitstream/JRC92290/lbna26879enn.pdf (last access: 2 December 2019), 2014. a, b, c
Doswell III, C. A.: A guide to F-scale damage assessment, NOAA Rep., 101 pp., available at: http://www.wdtb.noaa.gov/courses/ef-scale/lesson2/FinalNWSF-scaleAssessmentGuide.pdf (last access: 19 March 2020), 2003. a
Doswell III, C. A., Brooks, H. E., and Dotzek, N.: On the implementation of the enhanced Fujita scale in the USA, Atmos. Res., 93, 554–563, https://doi.org/10.1016/j.atmosres.2008.11.003, 2009. a, b
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, https://doi.org/10.1016/j.atmosres.2008.10.020, 2009. a, b, c
Edwards, R.: Frequently Asked Questions about Tornadoes, Storm Prediction Center (NOAA), available at: https://www.spc.noaa.gov/faq/tornado/index.html, last access: 19 March 2020. a
Edwards, R., LaDue, J. G., Ferree, J. T., Scharfenberg, K., Maier, C., and Coulbourne, W. L.: Tornado Intensity Estimation: Past, Present, and Future, B. Am. Meteorol. Soc., 94, 641–653, https://doi.org/10.1175/BAMS-D-11-00006.1, 2013. a, b
Environment Canada: Enhanced Fujita Scale Damage Indicators and Degrees Of Damage, available at: https://www.canada.ca/en/environment-climate-change/services/seasonal-weather-hazards/enhanced-fujita-scale-wind-damage.html (last access: 11 August 2019), 2013. a
Farnell, C., Busto, M., Aran, M., Andrés, A., Pineda, N., and Torà, M.: Study of the hailstorm of 17 September 2007 at the Pla d'Urgell. Part one: fieldwork and analysis of hailpads, Tethys, 6, 67–79, https://doi.org/10.3369/tethys.2009.6.05, 2009. a
Feuerstein, B., Groenemeijer, P., Dirksen, E., Hubrig, M., Holzer, A. M., and Dotzek, N.: Towards an improved wind speed scale and damage description adapted for Central Europe, Atmos. Res., 100, 547–564, https://doi.org/10.1016/j.atmosres.2010.12.026, 2011. a, b, c
Forbes, G. S. and Wakimoto, R. M.: A Concentrated Outbreak of Tornadoes, Downbursts and Microbursts, and Implications Regarding Vortex Classification, Mon. Weather Rev., 111, 220–236, https://doi.org/10.1175/1520-0493(1983)111<0220:ACOOTD>2.0.CO;2, 1983. a
Foster, D. R.: Species and stand response to catastrophic wind in Central New England, USA, J. Ecol., 76, 135–151, https://doi.org/10.2307/2260458, 1988. a
Fujita, T. T.: Tornadoes and downbursts in the context of generalized planetary scales, J. Atmos. Sci., 38, 1511–1534, https://doi.org/10.1175/1520-0469(1981)038<1511:TADITC>2.0.CO;2, 1981. a, b, c
Gayà, M.: The 1886 tornado of Madrid, Atmos. Res., 83, 201–210, https://doi.org/10.1016/j.atmosres.2005.10.017, 2007. a
Gayà, M., Llasat, M.-C., and Arús, J.: Tornadoes and waterspouts in Catalonia (1950–2009), Nat. Hazards Earth Syst. Sci., 11, 1875–1883, https://doi.org/10.5194/nhess-11-1875-2011, 2011. a
Godfrey, C. M. and Peterson, C. J.: Estimating Enhanced Fujita Scale Levels Based on Forest Damage Severity, Weather Forecast., 32, 243–252, https://doi.org/10.1175/WAF-D-16-0104.1, 2017. a
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., and Moore, R.: Google Earth Engine: Planetary-scale geospatial analysis for everyone, Remote Sens. Environ., 202, 18–27, https://doi.org/10.1016/j.rse.2017.06.031, 2017. a
Groenemeijer, P., Holzer, A. M., Hubrig, M., Kühne, T., Kaltenberger, R., Soriano, J. D., Bock, L., Guitiérrez, D., van de Ploeg, B., Strommer, G., and Schreiner, T.: The International Fujita Scale: A Globally Applicable Scale for Tornado and Wind Damage Classification, 10th European Conference on Severe Storms, 4–8 November 2019, Kraków, Poland, 2019. a
Holland, A. P., Riordan, A. J., and Franklin, E. C.: A simple model for simulating tornado damage in forests, J. Appl. Meteorol. Clim., 45, 1597–1611, https://doi.org/10.1175/JAM2413.1, 2006. a, b, c, d
Hyvärinen, O. and Saltikoff, E.: Social Media as a Source of Meteorological Observations, Mon. Weather Rev., 138, 3175–3184, https://doi.org/10.1175/2010MWR3270.1, 2010. a
IRDR: Peril Classification and Hazard Glossary, Integrated Research on Disaster Risk, 28 pp., available at: http://www.irdrinternational.org/2014/03/28/irdr-peril-classification-and-hazard-glossary/ (last access: 27 December 2019), 2014. a
Japan Meteorological Agency (JMA): Guidelines for the Japanese Enhanced Fujita Scale, 113 pp., available at: https://www.data.jma.go.jp/obd/stats/data/bosai/tornado/kaisetsu/jefscale_en.html (last access: 11 August 2019), 2015. a
Karstens, C. D., Samaras, T. M., Lee, B. D., Gallus, W. A., and Finley, C. A.: Near-Ground Pressure and Wind Measurements in Tornadoes, Mon. Weather Rev., 138, 2570–2588, https://doi.org/10.1175/2010MWR3201.1, 2010. a
Karstens, C. D., Gallus, W. A., Lee, B. D., and Finley, C. A.: Analysis of Tornado-Induced Tree Fall Using Aerial Photography from the Joplin, Missouri, and Tuscaloosa–Birmingham, Alabama, Tornadoes of 2011, J. Appl. Meteorol. Clim., 52, 1049–1068, https://doi.org/10.1175/JAMC-D-12-0206.1, 2013. a
KERAUNOS: Les tornades en France (Tornadoes in France, in French), available at: http://www.keraunos.org/climatologie/les-tornades-en-france.html, last access: 17 April 2020. a
Knox, J. A., Rackley, J. A., Black, A. W., Gensini, V. A., Butler, M., Dunn, C., Gallo, T., Hunter, M. R., Lindsey, L., Phan, M., Scroggs, R., and Brustad, S.: Tornado Debris Characteristics And Trajectories During The 27 April 2011 Super Outbreak As Determined Using Social Media Data, B. Am. Meteorol. Soc., 94, 1371–1380, https://doi.org/10.1175/BAMS-D-12-00036.1, 2013. a, b
Kryvasheyeu, Y., Chen, H., Obradovich, N., Moro, E., Van Hentenryck, P., Fowler, J., and Cebrian M.: Rapid assessment of disaster damage using social media activity, Sci. Adv., 3, e1500779, https://doi.org/10.1126/sciadv.1500779, 2016. a
Lemon, L. R., Stan-Sion, A., Soci, C., and Cordoneanu, E.: A strong, long-track, Romanian tornado, Atmos. Res., 67–68, 391–416, https://doi.org/10.1016/S0169-8095(03)00063-2, 2003. a
Letchford, C. W. and Chay, M. T.: Pressure distributions on a cube in a simulated thunderstorm downburst. Part B: moving downburst observations, J. Wind. Eng. Ind. Aerodyn., 90, 733–753, https://doi.org/10.1016/S0167-6105(02)00163-0, 2002. a
Li, L., Yang, J., Lin, C.-Y., Chua, C. T., Wang, Y., Zhao, K., Wu, Y.-T., Liu, P. L.-F., Switzer, A. D., Mok, K. M., Wang, P., and Peng, D.: Field survey of Typhoon Hato (2017) and a comparison with storm surge modeling in Macau, Nat. Hazards Earth Syst. Sci., 18, 3167–3178, https://doi.org/10.5194/nhess-18-3167-2018, 2018. a
Llasat, M. C., Turco, M., Quintana-Seguí, P., and Llasat-Botija, M.: The snow storm of 8 March 2010 in Catalonia (Spain): a paradigmatic wet-snow event with a high societal impact, Nat. Hazards Earth Syst. Sci., 14, 427–441, https://doi.org/10.5194/nhess-14-427-2014, 2014. a
Mahieu, P. and Wesolek, E.: Tornado Rating in Europe with the EF-scale, KERAUNOS, 65 pp., available at: http://www.keraunos.org/tornado-rating-in-europe-with-the-enhanced-fujita-scale.pdf (last access: 11 August 2019), 2016. a
Marshall, T. P.: Tornado damage survey at Moore, Oklahoma, Weather Forecast., 17, 582–598, https://doi.org/10.1175/1520-0434(2002)017<0582:TDSAMO>2.0.CO;2, 2002. a
Marshall, T. P., Davis, W., and Runnels, S.: Damage survey of the Joplin tornado, 26th Conference on Severe Local Storm, 5–8 November 2012, Nashville, TN, USA, 6.1, available at: https://ams.confex.com/ams/26SLS/webprogram/Manuscript/Paper211662/Joplinmerger.pdf (last access: 11 August 2019), 2012. a, b, c
Mateo, J., Ballart, D., Brucet, C., Aran, M., and Bech, J.: A study of a heavy rainfall event and a tornado outbreak during the passage of a squall line over Catalonia, Atmos. Res., 93, 131–146, https://doi.org/10.1016/j.atmosres.2008.09.030, 2009. a
Meaden, G. T., Kochev, S., Kolendowicz, L., Kosa-Kiss, A., Marcinoniene, I., Sioutas, M., Tooming, H., and Tyrrell, J.: Comparing the theoretical versions of the Beaufort scale, the T-Scale and the Fujita scale, Atmos. Res., 83, 446–449, https://doi.org/10.1016/j.atmosres.2005.11.014, 2007. a
Meng, Z. and Yao, D.: Damage Survey, Radar, and Environment Analyses on the First-Ever Documented Tornado in Beijing during the Heavy Rainfall Event of 21 July 2012, Weather Forecast., 29, 702–724, https://doi.org/10.1175/WAF-D-13-00052.1, 2014. a
Miller, P. W. and Mote, T. L.: Characterizing severe weather potential in synoptically weakly forced thunderstorm environments, Nat. Hazards Earth Syst. Sci., 18, 1261–1277, https://doi.org/10.5194/nhess-18-1261-2018, 2018. a
Molinari, D., Menoni, S., Aronica, G. T., Ballio, F., Berni, N., Pandolfo, C., Stelluti, M., and Minucci, G.: Ex post damage assessment: an Italian experience, Nat. Hazards Earth Syst. Sci., 14, 901–916, https://doi.org/10.5194/nhess-14-901-2014, 2014. a
Molthan, A. L., Bell, J. R., Cole, T. A., and Burks, J. E.: Satellite-based identification of tornado damage tracks from the 27 April 2011 severe weather outbreak, J. Oper. Meteor., 2, 191–208, https://doi.org/10.15191/nwajom.2014.0216, 2014. a, b
NOAA/SPC: U.S. tornadoes (1950–2018), available at: https://www.spc.noaa.gov/wcm (last access: 17 April 2020), 2019. a
Orf, L., Kantor, E., and Savory, E.: Simulation of a downburst-producing thunderstorm using a very high-resolution three-dimensional cloud model, J. Wind Eng. Ind. Aerodyn., 104–106, 547–557, https://doi.org/10.1016/j.jweia.2012.02.020, 2012. a
Paulikas, M. J., Schmidlin, T. W., and Marshall, T. P.: The Stability of Passenger Vehicles at Tornado Wind Intensities of the (Enhanced) Fujita Scale, Weather Clim. Soc., 8, 85–91, https://doi.org/10.1175/WCAS-D-15-0051.1, 2016. a
Peterson, C. J.: Damage diversity as a metric of structural complexity after forest wind disturbance, Forests, 10, 85, https://doi.org/10.3390/f10020085, 2019. a
Peterson, R. E.: Johannes Letzmann: a pioneer in the study of tornadoes, Weather Forecast., 7, 166–184, https://doi.org/10.1175/1520-0434(1992)007<0166:JLAPIT>2.0.CO;2, 1992. a
Pipinato, A.: Recent northeast Italian tornado events: lesson learned for improving structures, Nat. Hazards, https://doi.org/10.1007/s11069-018-3380-2, 2018. a
Rasmussen, E. N., Davies-Jones, R., and Holle, R. L.: Terrestrial Photogrammetry of Weather Images Acquired in Uncontrolled Circumstances, J. Atmos. Ocean. Tech., 20, 1790–1803, https://doi.org/10.1175/1520-0426(2003)020<1790:TPOWIA>2.0.CO;2, 2003. a
Rhee, D. M. and Lombardo, F. T.: Improved near-surface wind speed characterization using damage patterns, J. Wind. Eng. Ind. Aerodyn., 180, 288–297, https://doi.org/10.1016/j.jweia.2018.07.017, 2018. a, b, c, d
Riesco, J., Polvorinos, F., Núñez, J. A., Soriano, J. D., and Jiménez, C.: Climatología de tornados en España Peninsular y Baleares (Tornado Climatology in the Peninsular Spain and Balearic Islands, in Spanish), Spanish Meteorological Agency (AEMet), 83 pp., available at: http://www.aemet.es/documentos/es/conocermas/publicaciones/Climatologia_tornados/Climatologia_tornados.pdf (last access: 11 August 2019), 2015. a
Ripoll, R., del Amo, X., and Vendrell, R.: The weather observers network of the Meteorological Service of Catalonia, WMO Technical Conference on Meteorological and Environmental Instruments and Methods of Observation (CIMO TECO 2016), 27–30 September 2016, Madrid, Spain, P2(57), 2016. a
Rodríguez, O. and Bech, J.: Sounding-derived parameters associated with tornadic storms in Catalonia, Int. J. Climatol., 38, 2400–2414, https://doi.org/10.1002/joc.5343, 2018. a
Rosencrants, T. D. and Ashley, W. S.: Spatiotemporal analysis of tornado exposure in five US metropolitan areas, Nat. Hazards, 78, 121–140, https://doi.org/10.1007/s11069-015-1704-z, 2015. a, b
Roueche, D. B. and Prevatt, D. O.: Residential Damage Patterns Following the 2011 Tuscaloosa, AL and Joplin, MO Tornadoes, J. Disaster Res., 8, 1061–1067, 2013. a
Sánchez-Laulhé, J. M.: El tornado de Málaga del 1 de Febrero de 2009 (The 1 February 2009 tornado of Malaga), Spanish Meteorological Agency (AEMet), 3 pp., available at: https://repositorio.aemet.es/bitstream/20.500.11765/2724/1/TyC_2009_24_03.pdf (last access: 11 August 2019), 2013 (in Spanish). a
Shikhov, A. and Chernokulsky, A.: A satellite-derived climatology of unreported tornadoes in forested regions of northeast Europe, Remote Sens. Environ., 204, 553–567, https://doi.org/10.1016/j.rse.2017.10.002, 2018. a
Shikhov, A. N., Perminova, E. S., and Perminov, S. I.: Satellite-based analysis of the spatial patterns of fire-and storm-related forest disturbances in the Ural region, Russia, Nat. Hazards, 97, 283–308, https://doi.org/10.1007/s11069-019-03642-z, 2019. a
Strader, S. M., Ashley, W., Irizarry, A., and Hall, S.: A climatology of tornado intensity assessments, Meteorol. Appl., 22, 513–524, https://doi.org/10.1002/met.1482, 2015. a
Taszarek, M., Brooks, H. E., and Czernecki, B.: Sounding-Derived Parameters Associated with Convective Hazards in Europe, Mon. Weather Rev., 145, 1511–1528, https://doi.org/10.1175/MWR-D-16-0384.1, 2017. a
Verbout, S. M., Brooks, H. E., Leslie, L. M., and Schultz, D. M.: Evolution of the US tornado database: 1954–2003, Weather Forecast., 21, 86–93, https://doi.org/10.1175/WAF910.1, 2006. a
Wakimoto, R. M. and Lew, J. K.: Observations of a Florida Waterspout during CaPE, Weather Forecast., 8, 412–423, https://doi.org/10.1175/1520-0434(1993)008<0412:OOAFWD>2.0.CO;2, 1993.
a
Wakimoto, R. M. and Liu, C.: The Garden City, Kansas, Storm during VORTEX 95. Part II: The Wall Cloud and Tornado, Mon. Wea. Rev., 126, 393–408, https://doi.org/10.1175/1520-0493(1998)126<0393:TGCKSD>2.0.CO;2, 1998. a
Wakimoto, R. M., Wienhoff, Z., Bluestein, H. B., and Reif, D.: The Dodge City Tornadoes on 24 May 2016: Damage Survey, Photogrammetric Analysis Combined with Mobile Polarimetric Radar Data, Mon. Weather Rev., 146, 3735–3771, https://doi.org/10.1175/MWR-D-18-0125.1, 2018. a
Wesolek, E. and Mahieu, P.: The F4 tornado of August 3, 2008, in Northern France: Case study of a tornadic storm in a low CAPE environment, Atmos. Res., 100, 649–656, https://doi.org/10.1016/j.atmosres.2010.09.003, 2011. a
Wurman, J., Kosiba, K., and Robinson, P.: In situ, Doppler radar, and video observations of the interior structure of a tornado and the wind–damage relationship, B. Am. Meteorol. Soc., 94, 835–846, https://doi.org/10.1175/BAMS-D-12-00114.1, 2013. a
Zanini, M. A., Hofer, L., Faleschini, F., and Pellegrino, C.: Building damage assessment after the Riviera del Brenta tornado, northeast Italy, Nat. Hazards, 86, 1247–1273, https://doi.org/10.1007/s11069-017-2741-6, 2017. a, b
Zehnder, J. A., Hu, J., and Razdan, A.: A Stereo Photogrammetric Technique Applied to Orographic Convection, Mon. Weather Rev., 135, 2265–2277, https://doi.org/10.1175/MWR3401.1, 2007. a
Short summary
Post-event damage assessment data are used to study the consequences of natural hazards, such as strong convective winds (i.e. tornadoes, downbursts). The information gathered during fieldwork can be used to characterize those events, which is necessary to build up and maintain robust and homogeneous databases of severe weather cases and high-impact weather events. Accordingly, a methodology to carry out damage surveys of strong-convective-wind events is presented in this article.
Post-event damage assessment data are used to study the consequences of natural hazards, such as...
Altmetrics
Final-revised paper
Preprint