Articles | Volume 14, issue 5
Nat. Hazards Earth Syst. Sci., 14, 1071–1084, 2014
https://doi.org/10.5194/nhess-14-1071-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Hydrological cycle in the Mediterranean (ACP/AMT/GMD/HESS/NHESS/OS...
Special issue: 14th Plinius Conference and MEDEX Final Conference
Nat. Hazards Earth Syst. Sci., 14, 1071–1084, 2014
https://doi.org/10.5194/nhess-14-1071-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
09 May 2014
Research article
| 09 May 2014
An ensemble study of HyMeX IOP6 and IOP7a: sensitivity to physical and initial and boundary condition uncertainties
A. Hally et al.
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Convection-permitting models allow for prediction of rainfall events with increasing levels of detail. However, this increased resolution can create problems such as the so-called double penalty problem when attempting to verify model forecast accuracy. This problem is amplified when trying to maximise the value of a convection-permitting ensemble prediction system (EPS). Post-processing of the EPS can help to overcome these issues. In this spirit, two new up-scaling algorithms based on Machine
A. Hally, O. Caumont, L. Garrote, E. Richard, A. Weerts, F. Delogu, E. Fiori, N. Rebora, A. Parodi, A. Mihalović, M. Ivković, L. Dekić, W. van Verseveld, O. Nuissier, V. Ducrocq, D. D'Agostino, A. Galizia, E. Danovaro, and A. Clematis
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Heavy precipitation (HP) constitutes a major meteorological threat in the western Mediterranean. Every year, recurrent events affect the area with fatal consequences. Despite this being a well-known issue, open questions still remain. The understanding of the underlying mechanisms and the modeling representation of the events must be improved. In this article we present the most recent lessons learned from the Hydrological Cycle in the Mediterranean Experiment (HyMeX).
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Nat. Hazards Earth Syst. Sci., 19, 907–926, https://doi.org/10.5194/nhess-19-907-2019, https://doi.org/10.5194/nhess-19-907-2019, 2019
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Nat. Hazards Earth Syst. Sci., 19, 821–835, https://doi.org/10.5194/nhess-19-821-2019, https://doi.org/10.5194/nhess-19-821-2019, 2019
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Léo Seyfried, Patrick Marsaleix, Evelyne Richard, and Claude Estournel
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Geosci. Model Dev., 10, 4207–4227, https://doi.org/10.5194/gmd-10-4207-2017, https://doi.org/10.5194/gmd-10-4207-2017, 2017
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A. Hally, O. Caumont, L. Garrote, E. Richard, A. Weerts, F. Delogu, E. Fiori, N. Rebora, A. Parodi, A. Mihalović, M. Ivković, L. Dekić, W. van Verseveld, O. Nuissier, V. Ducrocq, D. D'Agostino, A. Galizia, E. Danovaro, and A. Clematis
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E. Defer, J.-P. Pinty, S. Coquillat, J.-M. Martin, S. Prieur, S. Soula, E. Richard, W. Rison, P. Krehbiel, R. Thomas, D. Rodeheffer, C. Vergeiner, F. Malaterre, S. Pedeboy, W. Schulz, T. Farges, L.-J. Gallin, P. Ortéga, J.-F. Ribaud, G. Anderson, H.-D. Betz, B. Meneux, V. Kotroni, K. Lagouvardos, S. Roos, V. Ducrocq, O. Roussot, L. Labatut, and G. Molinié
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Jussi Leinonen, Ulrich Hamann, Urs Germann, and John R. Mecikalski
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Rubina Ansari and Giovanna Grossi
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Dominik Jackisch, Bi Xuan Yeo, Adam D. Switzer, Shaoneng He, Danica Linda M. Cantarero, Fernando P. Siringan, and Nathalie F. Goodkin
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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.
Uri Dayan, Itamar M. Lensky, Baruch Ziv, and Pavel Khain
Nat. Hazards Earth Syst. Sci., 21, 1583–1597, https://doi.org/10.5194/nhess-21-1583-2021, https://doi.org/10.5194/nhess-21-1583-2021, 2021
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An intense rainstorm hit the Middle East between 24 and 27 April 2018. The storm reached its peak over Israel on 26 April when a heavy flash flood took the lives of 10 people. The rainfall was comparable to the long-term annual rainfall in the southern Negev. The timing was the end of the rainy season when rain is rare and spotty. The study analyses the dynamic and thermodynamic conditions that made this rainstorm one of the latest spring severe events in the region during the last 3 decades.
Seyedabdolhossein Mehvar, Kathelijne Wijnberg, Bas Borsje, Norman Kerle, Jan Maarten Schraagen, Joanne Vinke-de Kruijf, Karst Geurs, Andreas Hartmann, Rick Hogeboom, and Suzanne Hulscher
Nat. Hazards Earth Syst. Sci., 21, 1383–1407, https://doi.org/10.5194/nhess-21-1383-2021, https://doi.org/10.5194/nhess-21-1383-2021, 2021
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This review synthesizes and complements existing knowledge in designing resilient vital infrastructure systems (VIS). Results from a systematic literature review indicate that (i) VIS are still being built without taking resilience explicitly into account and (ii) measures to enhance the resilience of VIS have not been widely applied in practice. The main pressing topic to address is the integration of the combined social, ecological, and technical resilience of these systems.
Rudolf Brázdil, Kateřina Chromá, Lukáš Dolák, Jan Řehoř, Ladislava Řezníčková, Pavel Zahradníček, and Petr Dobrovolný
Nat. Hazards Earth Syst. Sci., 21, 1355–1382, https://doi.org/10.5194/nhess-21-1355-2021, https://doi.org/10.5194/nhess-21-1355-2021, 2021
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We present an analysis of fatalities attributable to weather conditions in the Czech Republic during the 2000–2019 period based on our own database created from newspaper reports, on the database of the Czech Statistical Office, and on the database of the police of the Czech Republic as well as on their comparison. Despite some uncertainties, generally declining trends in the number of fatalities appear for the majority of weather variables. The structure of fatalities is described in detail.
Zheng Liang, Xiaoling Su, and Kai Feng
Nat. Hazards Earth Syst. Sci., 21, 1323–1335, https://doi.org/10.5194/nhess-21-1323-2021, https://doi.org/10.5194/nhess-21-1323-2021, 2021
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In view of the shortage of data in alpine mountainous areas and the difficulty of a single drought index to reflect all the characteristics of drought, this paper constructs a comprehensive drought index (MAHDI) based on the SWAT model and the empirical Kendall distribution function, which connects multiple drought elements. The results show that MAHDI can simultaneously characterize meteorological, agricultural and hydrological drought and has strong applicability and comprehensiveness.
Hamish Steptoe and Theodoros Economou
Nat. Hazards Earth Syst. Sci., 21, 1313–1322, https://doi.org/10.5194/nhess-21-1313-2021, https://doi.org/10.5194/nhess-21-1313-2021, 2021
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We use high-resolution computer simulations of tropical cyclones to investigate extreme wind speeds over Bangladesh. We show that some northern provinces, up to 200 km inland, may experience conditions equal to or exceeding a very severe cyclonic storm event with a likelihood equal to coastal regions less than 50 km inland. We hope that these kilometre-scale hazard maps facilitate one part of the risk assessment chain to improve local ability to make effective risk management decisions.
Chiara Marsigli, Elizabeth Ebert, Raghavendra Ashrit, Barbara Casati, Jing Chen, Caio A. S. Coelho, Manfred Dorninger, Eric Gilleland, Thomas Haiden, Stephanie Landman, and Marion Mittermaier
Nat. Hazards Earth Syst. Sci., 21, 1297–1312, https://doi.org/10.5194/nhess-21-1297-2021, https://doi.org/10.5194/nhess-21-1297-2021, 2021
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This paper reviews new observations for the verification of high-impact weather and provides advice for their usage in objective verification. New observations include remote sensing datasets, products developed for nowcasting, datasets derived from telecommunication systems, data collected from citizens, reports of impacts and reports from insurance companies. This work has been performed in the framework of the Joint Working Group on Forecast Verification Research (JWGFVR) of the WMO.
Judith Marie Pöschmann, Dongkyun Kim, Rico Kronenberg, and Christian Bernhofer
Nat. Hazards Earth Syst. Sci., 21, 1195–1207, https://doi.org/10.5194/nhess-21-1195-2021, https://doi.org/10.5194/nhess-21-1195-2021, 2021
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We examined maximum rainfall values for different durations from 16 years of radar-based rainfall records for whole Germany. Unlike existing observations based on rain gauge data no clear linear relationship could be identified. However, by classifying all time series, we could identify three similar groups determined by the temporal structure of rainfall extremes observed in the study period. The study highlights the importance of using long data records and a dense measurement network.
Olivier Caumont, Marc Mandement, François Bouttier, Judith Eeckman, Cindy Lebeaupin Brossier, Alexane Lovat, Olivier Nuissier, and Olivier Laurantin
Nat. Hazards Earth Syst. Sci., 21, 1135–1157, https://doi.org/10.5194/nhess-21-1135-2021, https://doi.org/10.5194/nhess-21-1135-2021, 2021
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This study focuses on the heavy precipitation event of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France.
The case is studied from a meteorological point of view using various operational numerical weather prediction systems, as well as a unique combination of observations from both standard and personal weather stations. The peculiarities of this case compared to other cases of Mediterranean heavy precipitation events are presented.
Cheikh Modou Noreyni Fall, Christophe Lavaysse, Mamadou Simina Drame, Geremy Panthou, and Amadou Thierno Gaye
Nat. Hazards Earth Syst. Sci., 21, 1051–1069, https://doi.org/10.5194/nhess-21-1051-2021, https://doi.org/10.5194/nhess-21-1051-2021, 2021
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Extreme wet and dry rainfall periods over Senegal provided by satellite, reanalyses, and ground observations are compared. Despite a spatial coherence of seasonal rainfall accumulation between all products, discrepancies are found at intra-seasonal timescales. All datasets highlight comparable seasonal cycles of dry and wet spells. Nevertheless, CHIRPS and TAMSAT are close to observations for the dry spells, whereas TRMM obtains the closest values of wet spells as regards the observations.
Claudia Canedo-Rosso, Stefan Hochrainer-Stigler, Georg Pflug, Bruno Condori, and Ronny Berndtsson
Nat. Hazards Earth Syst. Sci., 21, 995–1010, https://doi.org/10.5194/nhess-21-995-2021, https://doi.org/10.5194/nhess-21-995-2021, 2021
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Drought is a major natural hazard that causes large losses for farmers. This study evaluated drought severity based on a drought classification scheme using NDVI and LST, which was related to the ENSO anomalies. In addition, the spatial distribution of NDVI was associated with precipitation and air temperature at the local level. Our findings show that drought severity increases during El Niño years, and as a consequence the socio-economic drought risk of farmers will likely increase.
William C. Arthur
Nat. Hazards Earth Syst. Sci., 21, 893–916, https://doi.org/10.5194/nhess-21-893-2021, https://doi.org/10.5194/nhess-21-893-2021, 2021
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We have developed a statistical–parametric model of tropical cyclones (TCs), to undertake hazard and risk assessments at continental scales. The model enables users to build an understanding of the likelihood and magnitude of TC-related wind speeds across full ocean basins but at a fine spatial resolution. The model can also be applied to single events, either scenarios or forecast events, to inform detailed impact assessments.
Flavio Lopes Ribeiro, Mario Guevara, Alma Vázquez-Lule, Ana Paula Cunha, Marcelo Zeri, and Rodrigo Vargas
Nat. Hazards Earth Syst. Sci., 21, 879–892, https://doi.org/10.5194/nhess-21-879-2021, https://doi.org/10.5194/nhess-21-879-2021, 2021
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The main objective of this paper was to analyze differences in soil moisture responses to drought for each biome of Brazil. For that we used satellite data from the European Space Agency from 2009 to 2015. We found an overall soil moisture decline of −0.5 % yr−1 at the country level and identified the most vulnerable biomes of Brazil. This information is crucial to enhance the national drought early warning system and develop strategies for drought risk reduction and soil moisture conservation.
Kees Nederhoff, Jasper Hoek, Tim Leijnse, Maarten van Ormondt, Sofia Caires, and Alessio Giardino
Nat. Hazards Earth Syst. Sci., 21, 861–878, https://doi.org/10.5194/nhess-21-861-2021, https://doi.org/10.5194/nhess-21-861-2021, 2021
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The design of coastal protection affected by tropical cyclones is often based solely on the analysis of historical tropical cyclones (TCs). The simulation of numerous synthetic TC tracks based on historical data can overcome this limitation. In this paper, a new method for the generation of synthetic TC tracks is proposed, called the Tropical Cyclone Wind Statistical Estimation Tool (TCWiSE). TCWiSE can simulate thousands of tracks and wind fields in any oceanic basin based on any data source.
Elody Fluck, Michael Kunz, Peter Geissbuehler, and Stefan P. Ritz
Nat. Hazards Earth Syst. Sci., 21, 683–701, https://doi.org/10.5194/nhess-21-683-2021, https://doi.org/10.5194/nhess-21-683-2021, 2021
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Severe convective storms (SCSs) and the related hail events constitute major atmospheric hazards in parts of Europe. In our study, we identified the regions of France, Germany, Belgium and Luxembourg that were most affected by hail over a 10 year period (2005 to 2014). A cell-tracking algorithm was computed on remote-sensing data to enable the reconstruction of several thousand SCS tracks. The location of hail hotspots will help us understand hail formation and improve hail forecasting.
Kelvin S. Ng and Gregor C. Leckebusch
Nat. Hazards Earth Syst. Sci., 21, 663–682, https://doi.org/10.5194/nhess-21-663-2021, https://doi.org/10.5194/nhess-21-663-2021, 2021
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Due to the rarity of high-impact tropical cyclones (TCs), it is difficult to achieve a robust TC hazard assessment based on historical observations only. Here we present an approach to construct a TC event set that contains more than 10 000 years of TC events by using a computationally simple and efficient method. This event set has similar characteristics as the historical observations but includes a better representation of intense TCs. Thus, a robust TC hazard assessment can be achieved.
Nadia Fourrié, Mathieu Nuret, Pierre Brousseau, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 21, 463–480, https://doi.org/10.5194/nhess-21-463-2021, https://doi.org/10.5194/nhess-21-463-2021, 2021
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The assimilation impact of four observation data sets on forecasts is studied in a mesoscale weather model. The ground-based Global Navigation Satellite System (GNSS) zenithal total delay data set with information on humidity has the largest impact on analyses and forecasts, representing an evenly spread and frequent data set for each analysis time over the model domain. Moreover, the reprocessing of these data also improves the forecast quality, but this impact is not statistically significant.
Joan Gilabert, Anna Deluca, Dirk Lauwaet, Joan Ballester, Jordi Corbera, and Maria Carmen Llasat
Nat. Hazards Earth Syst. Sci., 21, 375–391, https://doi.org/10.5194/nhess-21-375-2021, https://doi.org/10.5194/nhess-21-375-2021, 2021
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Trends of extreme temperature episodes in cities are increasing due to regional climate change in interaction with urban effects. Urban morphologies and thermal properties of the materials used to build them are factors that influence climate variability and are one of the main reasons for the climatic singularity of cities. This paper presents a methodology to evaluate the urban and peri-urban effect on extreme-temperature exposure using land cover and land use maps.
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