Articles | Volume 20, issue 10
Nat. Hazards Earth Syst. Sci., 20, 2753–2776, 2020
https://doi.org/10.5194/nhess-20-2753-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue: Hydrological cycle in the Mediterranean (ACP/AMT/GMD/HESS/NHESS/OS...
Nat. Hazards Earth Syst. Sci., 20, 2753–2776, 2020
https://doi.org/10.5194/nhess-20-2753-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 21 Oct 2020
Research article | 21 Oct 2020
Assessing atmospheric moisture effects on heavy precipitation during HyMeX IOP16 using GPS nudging and dynamical downscaling
Alberto Caldas-Alvarez and Samiro Khodayar
Related authors
Alberto Caldas-Alvarez, Samiro Khodayar, and Peter Knippertz
Weather Clim. Dynam. Discuss., https://doi.org/10.5194/wcd-2021-2, https://doi.org/10.5194/wcd-2021-2, 2021
Preprint under review for WCD
Alberto Caldas-Álvarez, Samiro Khodayar, and Olivier Bock
Adv. Sci. Res., 14, 157–162, https://doi.org/10.5194/asr-14-157-2017, https://doi.org/10.5194/asr-14-157-2017, 2017
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The representation of the atmospheric moisture distribution in weather and climate prediction models has been identified as a source of error in the representation of heavy precipitation events. This research work shows the relevance of overcoming deficiencies in the representation of the moisture content in the vertical direction, even after assimilating humidity data for a case study characteristic of the western Mediterranean by early autumn.
Alberto Caldas-Alvarez, Samiro Khodayar, and Peter Knippertz
Weather Clim. Dynam. Discuss., https://doi.org/10.5194/wcd-2021-2, https://doi.org/10.5194/wcd-2021-2, 2021
Preprint under review for WCD
Samiro Khodayar, Amparo Coll, and Ernesto Lopez-Baeza
Hydrol. Earth Syst. Sci., 23, 255–275, https://doi.org/10.5194/hess-23-255-2019, https://doi.org/10.5194/hess-23-255-2019, 2019
Alberto Caldas-Álvarez, Samiro Khodayar, and Olivier Bock
Adv. Sci. Res., 14, 157–162, https://doi.org/10.5194/asr-14-157-2017, https://doi.org/10.5194/asr-14-157-2017, 2017
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The representation of the atmospheric moisture distribution in weather and climate prediction models has been identified as a source of error in the representation of heavy precipitation events. This research work shows the relevance of overcoming deficiencies in the representation of the moisture content in the vertical direction, even after assimilating humidity data for a case study characteristic of the western Mediterranean by early autumn.
Related subject area
Atmospheric, Meteorological and Climatological Hazards
Radar-based assessment of hail frequency in Europe
A new view on the risk of typhoon occurrence in the western North Pacific
Data assimilation impact studies with the AROME-WMED reanalysis of the first special observation period of the Hydrological cycle in the Mediterranean Experiment
Assessing heat exposure to extreme temperatures in urban areas using the Local Climate Zone classification
Are Kenya Meteorological Department heavy rainfall advisories useful for forecast-based early action and early preparedness for flooding?
A methodology for attributing the role of climate change in extreme events: a global spectrally nudged storyline
A 30 m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
Modelling a tropical-like cyclone in the Mediterranean Sea under present and warmer climate
Extension of the WRF-Chem volcanic emission preprocessor to integrate complex source terms and evaluation for different emission scenarios of the Grimsvötn 2011 eruption
The contribution of air temperature and ozone to mortality rates during hot weather episodes in eight German cities during the years 2000 and 2017
Predictive modeling of hourly probabilities for weather-related road accidents
Modeling volcanic ash aggregation processes and related impacts on the April–May 2010 eruptions of Eyjafjallajökull volcano with WRF-Chem
The heavy precipitation event of 14–15 October 2018 in the Aude catchment: A meteorological study based on operational numerical weather prediction systems and standard and personal observations
Intra-annual variability of the Western Mediterranean Oscillation (WeMO) and occurrence of extreme torrential precipitation in Catalonia (NE Iberia)
Review article: A comprehensive review of datasets and methodologies employed to produce thunderstorm climatologies
Simulating Synthetic Tropical Cyclone Tracks for Statistically Reliable Wind and Pressure Estimations
Bias correction of a gauge-based gridded product to improve extreme precipitation analysis in the Yarlung Tsangpo–Brahmaputra River basin
Analysis of the Universal Thermal Climate Index during heat waves in Serbia
An analysis on temporal scaling behavior of extreme rainfall of Germany based on radar precipitation QPE data
Brief Communication: An electrifying atmospheric river – understanding the thunderstorm event in Santa Barbara County during March 2019
Spatiotemporal changes of heat waves and extreme temperatures in the main cities of China from 1955 to 2014
Ambient conditions prevailing during hail events in central Europe
Present and future changes in winter climate indices relevant for access disruptions in Troms, northern Norway
Hydrometeorological droughts in the Miño–Limia–Sil hydrographic demarcation (northwestern Iberian Peninsula): the role of atmospheric drivers
Brief communication: The role of using precipitation or river discharge data when assessing global coastal compound flooding
The Impact of Drought on Soil Moisture Trends across Brazilian Biomes
Estimation of tropical cyclone wind hazards in coastal regions of China
A methodology to conduct wind damage field surveys for high-impact weather events of convective origin
The sensitivity of intense rainfall to aerosol particle loading – a comparison of bin-resolved microphysics modelling with observations of heavy precipitation from HyMeX IOP7a
Brief communication: Hurricane Dorian: automated near-real-time mapping of the “unprecedented” flooding in the Bahamas using synthetic aperture radar
Systematic error analysis of heavy-precipitation-event prediction using a 30-year hindcast dataset
An 18-year climatology of derechos in Germany
Exposure of real estate properties to the 2018 Hurricane Florence flooding
Modelling global tropical cyclone wind footprints
Remote sensing in an index-based insurance design for hedging economic impacts on rice cultivation
Contribution of personal weather stations to the observation of deep-convection features near the ground
Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach
Simulations of the 2005, 1910, and 1876 Vb cyclones over the Alps – sensitivity to model physics and cyclonic moisture flux
Changes in flood damage with global warming on the eastern coast of Spain
Probabilistic modelling of the dependence between rainfed crops and drought hazard
First reported case of thunderstorm asthma in Israel
Meteorological conditions leading to the 2015 Salgar flash flood: lessons for vulnerable regions in tropical complex terrain
Estimates of tropical cyclone geometry parameters based on best-track data
Identifying a transition climate zone in an arid river basin using the evaporative stress index
A statistical-parametric model of tropical cyclones for hazard assessment
The impact of lightning and radar reflectivity factor data assimilation on the very short-term rainfall forecasts of RAMS@ISAC: application to two case studies in Italy
Impact of the dry-day definition on Mediterranean extreme dry-spell analysis
Effects of horizontal resolution and air–sea flux parameterization on the intensity and structure of simulated Typhoon Haiyan (2013)
Wet and dry spells in Senegal: Evaluation of satellite-based and model re-analysis rainfall estimates
Flood risk in a range of spatial perspectives – from global to local scales
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.
David MacLeod, Mary Kilavi, Emmah Mwangi, Maurine Ambani, Michael Osunga, Joanne Robbins, Richard Graham, Pedram Rowhani, and Martin C. Todd
Nat. Hazards Earth Syst. Sci., 21, 261–277, https://doi.org/10.5194/nhess-21-261-2021, https://doi.org/10.5194/nhess-21-261-2021, 2021
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Forecasts of natural hazards save lives. But the accuracy of forecasts must be evaluated before use. Here we evaluate heavy rainfall advisories over Kenya. We assess their ability to anticipate heavy rainfall and show how well they warned of recent floods which had significant impacts. We find that although they effectively warn of heavy rainfall and flooding, issues such as a lack of spatial detail limit their utility for systematic approaches to preparedness.
Linda van Garderen, Frauke Feser, and Theodore G. Shepherd
Nat. Hazards Earth Syst. Sci., 21, 171–186, https://doi.org/10.5194/nhess-21-171-2021, https://doi.org/10.5194/nhess-21-171-2021, 2021
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The storyline method is used to quantify the effect of climate change on a particular extreme weather event using a global atmospheric model by simulating the event with and without climate change. We present the method and its successful application for the climate change signals of the European 2003 and the Russian 2010 heatwaves.
Raphaël Cécé, Didier Bernard, Yann Krien, Frédéric Leone, Thomas Candela, Matthieu Péroche, Emmanuel Biabiany, Gael Arnaud, Ali Belmadani, Philippe Palany, and Narcisse Zahibo
Nat. Hazards Earth Syst. Sci., 21, 129–145, https://doi.org/10.5194/nhess-21-129-2021, https://doi.org/10.5194/nhess-21-129-2021, 2021
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The present innovative modeling aims to combine the most realistic simulated strongest gusts driven by tornado-scale vortices within the eyewall and the most realistic complex terrain effects. The present modeling method could be easily extended to other small mountainous islands to improve the understanding of observed past damage and to develop safer urban management and appropriate building standards.
Shunya Koseki, Priscilla A. Mooney, William Cabos, Miguel Ángel Gaertner, Alba de la Vara, and Juan Jesus González-Alemán
Nat. Hazards Earth Syst. Sci., 21, 53–71, https://doi.org/10.5194/nhess-21-53-2021, https://doi.org/10.5194/nhess-21-53-2021, 2021
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This study investigated one case of a tropical-like cyclone over the Mediterranean Sea under present and future climate conditions with a regional climate model. A pseudo global warming (PGW) technique is employed to simulate the cyclone under future climate, and our simulation showed that the cyclone is moderately strengthened by warmer climate. Other PGW simulations where only ocean and atmosphere are warmed reveal the interesting results that both have counteracting effects on the cyclone.
Marcus Hirtl, Barbara Scherllin-Pirscher, Martin Stuefer, Delia Arnold, Rocio Baro, Christian Maurer, and Marie D. Mulder
Nat. Hazards Earth Syst. Sci., 20, 3099–3115, https://doi.org/10.5194/nhess-20-3099-2020, https://doi.org/10.5194/nhess-20-3099-2020, 2020
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The paper shows the application of a new volcanic emission preprocessor for the chemical transport model WRF-Chem. The model is evaluated with different observational data sets for the eruption of the Grimsvötn volcano 2011.
Alexander Krug, Daniel Fenner, Hans-Guido Mücke, and Dieter Scherer
Nat. Hazards Earth Syst. Sci., 20, 3083–3097, https://doi.org/10.5194/nhess-20-3083-2020, https://doi.org/10.5194/nhess-20-3083-2020, 2020
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This study investigates hot weather episodes in eight German cities which are statistically associated with increased mortality. Besides air temperature, ozone concentrations partly explain these mortality rates. The strength of the respective contributions of the two stressors varies across the cities. Results highlight that during hot weather episodes, not only high air temperature affects urban populations; concurrently high ozone concentrations also play an important role in public health.
Nico Becker, Henning W. Rust, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 20, 2857–2871, https://doi.org/10.5194/nhess-20-2857-2020, https://doi.org/10.5194/nhess-20-2857-2020, 2020
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A set of models is developed to forecast hourly probabilities of weather-related road accidents in Germany at the spatial scale of administrative districts. Model verification shows that using precipitation and temperature data leads to the best accident forecasts. Based on weather forecast data we show that skilful predictions of accident probabilities of up to 21 h ahead are possible. The models can be used to issue impact-based warnings, which are relevant for road users and authorities.
Sean D. Egan, Martin Stuefer, Peter W. Webley, Taryn Lopez, Catherine F. Cahill, and Marcus Hirtl
Nat. Hazards Earth Syst. Sci., 20, 2721–2737, https://doi.org/10.5194/nhess-20-2721-2020, https://doi.org/10.5194/nhess-20-2721-2020, 2020
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The Weather Research Forecasting with Chemistry (WRF-Chem) model was modified to include volcanic ash aggregation. The modified WRF-Chem model was run with and without aggregation, and changes in the model output were measured. Changes in the lifetime of volcanic ash a function of the chosen fractal dimension were quantified. A case study using the 2010 eruptions of Eyjafjallajökull revealed that the aggregation modifications result in tephra fallout and ash concentrations near observed values.
Olivier Caumont, Marc Mandement, François Bouttier, Judith Eeckman, Cindy Lebeaupin Brossier, Alexane Lovat, Olivier Nuissier, and Olivier Laurantin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-310, https://doi.org/10.5194/nhess-2020-310, 2020
Revised manuscript accepted for NHESS
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This study focuses on the case of the heavy rainfall of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France. Although similar to the heavy rainfall events that regularly affect the Mediterranean Sea, it is shown, using operational forecasting models and observations including personal observation data, that this case presented specific aggravating factors near the ground.
Joan Albert Lopez-Bustins, Laia Arbiol-Roca, Javier Martin-Vide, Antoni Barrera-Escoda, and Marc Prohom
Nat. Hazards Earth Syst. Sci., 20, 2483–2501, https://doi.org/10.5194/nhess-20-2483-2020, https://doi.org/10.5194/nhess-20-2483-2020, 2020
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We considered the Western Mediterranean Oscillation index (WeMOi) to analyse the occurrence of extreme torrential episodes (≥ 200 mm in 24 h) over Catalonia (NE Iberia) during the 1951–2016 period. Principal results reveal the occurrence of 50 episodes, mainly in autumn, especially during the second 10 d period of October (11–20), coinciding with the most negative WeMOi values of the year. Seasonal changes in these episodes and in WeMOi values might be due to sea warming.
Leah Hayward, Malcolm Whitworth, Nick Pepin, and Steve Dorling
Nat. Hazards Earth Syst. Sci., 20, 2463–2482, https://doi.org/10.5194/nhess-20-2463-2020, https://doi.org/10.5194/nhess-20-2463-2020, 2020
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This review article outlines the state of thunderstorm climatologies, which are underrepresented in the literature. Thunderstorms overlap with lightning and intense precipitation events, both of which create important hazards. This article compiles and evaluates information on datasets, research approaches and methodologies used in quantifying thunderstorm distribution, providing an introduction to the topic and signposting new and established researchers to research articles and datasets.
Kees Nederhoff, Jasper Hoek, Tim Leijnse, Maarten van Ormondt, Sofia Caires, and Alessio Giardino
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-250, https://doi.org/10.5194/nhess-2020-250, 2020
Revised manuscript accepted for NHESS
Xian Luo, Xuemei Fan, Yungang Li, and Xuan Ji
Nat. Hazards Earth Syst. Sci., 20, 2243–2254, https://doi.org/10.5194/nhess-20-2243-2020, https://doi.org/10.5194/nhess-20-2243-2020, 2020
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In this study, we corrected Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE) in the Yarlung Tsangpo–Brahmaputra River Basin using both linear and nonlinear methods, and their influences on resulting extreme precipitation indices were assessed. Results showed that all methods were able to correct mean precipitation, but their ability to correct wet-day frequency and coefficient of variation were markedly different.
Milica M. Pecelj, Milica Z. Lukić, Dejan J. Filipović, Branko M. Protić, and Uroš M. Bogdanović
Nat. Hazards Earth Syst. Sci., 20, 2021–2036, https://doi.org/10.5194/nhess-20-2021-2020, https://doi.org/10.5194/nhess-20-2021-2020, 2020
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The variation in UTCI heat stress grade was observed during heat waves over the past 20 years in order to identify patterns of biothermal heat stress conditions in Serbia.
Very strong heat stressdescribes an alarming biothermal state and has occurred frequently in the last 10 years. The findings indicate the UTCI14 h index
very strong heat stress event(VSHSE) as an indicator of biothermal heat hazard.
Judith Marie Pöschmann, Dongkyun Kim, Rico Kronenberg, and Christian Bernhofer
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-192, https://doi.org/10.5194/nhess-2020-192, 2020
Revised manuscript accepted for NHESS
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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.
Deanna Nash and Leila M. V. Carvalho
Nat. Hazards Earth Syst. Sci., 20, 1931–1940, https://doi.org/10.5194/nhess-20-1931-2020, https://doi.org/10.5194/nhess-20-1931-2020, 2020
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On 6 March 2019, during an atmospheric river (AR) event, over 8000 lightning flashes were recorded near southern California in under 24 h, resulting in a unique meteorological event for this region. This study examines the characteristics of this AR compared to previous landfalling ARs in Santa Barbara and explores how the conditions led to the formation of hail and enhanced electrification in a region that sees little to no lightning.
Kuo Li and Gyilbag Amatus
Nat. Hazards Earth Syst. Sci., 20, 1889–1901, https://doi.org/10.5194/nhess-20-1889-2020, https://doi.org/10.5194/nhess-20-1889-2020, 2020
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In recent years, heat waves have become more frequent in the world, e.g., in Europe, Australia, China and the US, at huge detriment to human health and natural resources. Thus we establish an integrated index of heat waves and extreme-temperature days to provide unified standards for assessing heat waves and hot years. It provides a clear picture of the evolution and spatial distribution of heat waves and hot years in China.
Michael Kunz, Jan Wandel, Elody Fluck, Sven Baumstark, Susanna Mohr, and Sebastian Schemm
Nat. Hazards Earth Syst. Sci., 20, 1867–1887, https://doi.org/10.5194/nhess-20-1867-2020, https://doi.org/10.5194/nhess-20-1867-2020, 2020
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Severe convective storms are major loss drivers across Europe. We reconstructed several thousand storm tracks from radar reflectivity over a 10-year period for parts of Europe. The tracks were additionally combined with hail reports, reanalysis data, and front detections based on ERA-Interim (ECMWF Reanalysis). It is found that frontal hailstorms on average produce larger hailstones and have longer tracks and that wind shear is important not only for the hail diameter but also for track length.
Anita Verpe Dyrrdal, Ketil Isaksen, Jens Kristian Steen Jacobsen, and Irene Brox Nilsen
Nat. Hazards Earth Syst. Sci., 20, 1847–1865, https://doi.org/10.5194/nhess-20-1847-2020, https://doi.org/10.5194/nhess-20-1847-2020, 2020
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We have studied changes in winter weather known to trigger road closures and isolation of small seaside communities in northern Norway. We find that snow amounts and heavy snowfall events have increased in the past, while future projections for 2040–2100 show a decrease in snow-related indices. Events of heavy water supply and zero crossings are expected to increase. Our results imply fewer dry-snow-related access disruptions in the future, while wet-snow avalanches and slushflows may increase.
Rogert Sorí, Marta Vázquez, Milica Stojanovic, Raquel Nieto, Margarida L. R. Liberato, and Luis Gimeno
Nat. Hazards Earth Syst. Sci., 20, 1805–1832, https://doi.org/10.5194/nhess-20-1805-2020, https://doi.org/10.5194/nhess-20-1805-2020, 2020
Emanuele Bevacqua, Michalis I. Vousdoukas, Theodore G. Shepherd, and Mathieu Vrac
Nat. Hazards Earth Syst. Sci., 20, 1765–1782, https://doi.org/10.5194/nhess-20-1765-2020, https://doi.org/10.5194/nhess-20-1765-2020, 2020
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Coastal compound flooding (CF), caused by interacting storm surges and high water runoff, is typically studied based on concurring storm surge extremes with either precipitation or river discharge extremes. Globally, these two approaches show similar CF spatial patterns, especially where the CF potential is the highest. Deviations between the two approaches increase with the catchment size. The precipitation-based analysis allows for considering
local-rainfall-driven CF and CF in small rivers.
Flavio Lopes Ribeiro, Mario Guevara, Alma Vázquez-Lule, Ana Paula Cunha, Marcelo Zeri, and Rodrigo Vargas
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-185, https://doi.org/10.5194/nhess-2020-185, 2020
Revised manuscript accepted for NHESS
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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 %/year at the country level and identified the most vulnerable biomes of Brazil. This information is crucial to enhance the national drought early warning system, develop strategies for drought risk reduction and soil moisture conservation.
Genshen Fang, Lin Zhao, Shuyang Cao, Ledong Zhu, and Yaojun Ge
Nat. Hazards Earth Syst. Sci., 20, 1617–1637, https://doi.org/10.5194/nhess-20-1617-2020, https://doi.org/10.5194/nhess-20-1617-2020, 2020
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Coastal regions of China feature high population densities as well as flexible structures and are therefore vulnerable to tropical cyclone (TC) damage. A TC is a moving rotating storm with a small occurrence rate at a specific site. Wind anemometers are usually damaged during strong typhoon events, making the record of observed winds an unreliable predictor for design wind speed. This study uses the Monte Carlo simulation to investigate the typhoon wind hazards in coastal regions of China.
Oriol Rodríguez, Joan Bech, Juan de Dios Soriano, Delia Gutiérrez, and Salvador Castán
Nat. Hazards Earth Syst. Sci., 20, 1513–1531, https://doi.org/10.5194/nhess-20-1513-2020, https://doi.org/10.5194/nhess-20-1513-2020, 2020
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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.
Christina Kagkara, Wolfram Wobrock, Céline Planche, and Andrea I. Flossmann
Nat. Hazards Earth Syst. Sci., 20, 1469–1483, https://doi.org/10.5194/nhess-20-1469-2020, https://doi.org/10.5194/nhess-20-1469-2020, 2020
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Over the Cévennes–Vivarais region in southern France, 5 h intensive rainfall covering an area of 1000 km2 with more than 50 mm rain accumulation was observed during IOP7a of HyMeX. This study evaluates the performance of a bin-resolved cloud model for simulating this heavy-precipitation event. The simulation results were compared with observations of rain accumulation, radar reflectivity, temporal and spatial evolution of precipitation, 5 min rain rates, and raindrop size distributions.
Diego Cerrai, Qing Yang, Xinyi Shen, Marika Koukoula, and Emmanouil N. Anagnostou
Nat. Hazards Earth Syst. Sci., 20, 1463–1468, https://doi.org/10.5194/nhess-20-1463-2020, https://doi.org/10.5194/nhess-20-1463-2020, 2020
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On 1 September 2019 Hurricane Dorian made landfall on Great Abaco, unleashing unprecedented destruction on the northern Bahamas. Dorian was characterized by extreme winds, extensive coastal flooding, and impressive precipitation. We studied the event through images acquired by the synthetic aperture radars (SARs) mounted on European Space Agency satellites to derive flooding maps showing the extent of the devastation. We found that the flooded area in the Bahamas was at least 3000 km2.
Matteo Ponzano, Bruno Joly, Laurent Descamps, and Philippe Arbogast
Nat. Hazards Earth Syst. Sci., 20, 1369–1389, https://doi.org/10.5194/nhess-20-1369-2020, https://doi.org/10.5194/nhess-20-1369-2020, 2020
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We assess a methodology to evaluate and improve intense precipitation forecasting in the southeastern French region. This methodology is based on the use of a 30-year dataset of past forecasts which are analysed using a spatial verification approach. We found that precipitation forecasting is qualitatively driven by the deep-convection parametrization. Locally the model is able to reproduce the distribution of spatially integrated rainfall patterns of the most intense precipitation.
Christoph P. Gatzen, Andreas H. Fink, David M. Schultz, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 20, 1335–1351, https://doi.org/10.5194/nhess-20-1335-2020, https://doi.org/10.5194/nhess-20-1335-2020, 2020
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Derechos are widespread, convectively induced severe wind events. A climatology of derechos in Germany is presented. It shows that derechos are not uncommon across the country. Two seasonal peaks indicate a comparable derecho risk in summer and winter. At the same time, we found two different derecho types, a warm- and a cold-season type. We present characteristics of both derecho types that can help forecasters to estimate the potential derecho threat in a given weather situation.
Marco Tedesco, Steven McAlpine, and Jeremy R. Porter
Nat. Hazards Earth Syst. Sci., 20, 907–920, https://doi.org/10.5194/nhess-20-907-2020, https://doi.org/10.5194/nhess-20-907-2020, 2020
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Quantifying the exposure of house property to extreme weather events is crucial to study their impact on economy. Here, we show that value of property exposed to Hurricane Florence in September 2018 was USD 52 billion vs. USD 10 billion that would have occurred at the beginning of the 19th century due to urban expansion that increased after 1950s and the increasing number of houses built near water, showing the importance of accounting for the distribution of new buildings in risk and exposure.
James M. Done, Ming Ge, Greg J. Holland, Ioana Dima-West, Samuel Phibbs, Geoffrey R. Saville, and Yuqing Wang
Nat. Hazards Earth Syst. Sci., 20, 567–580, https://doi.org/10.5194/nhess-20-567-2020, https://doi.org/10.5194/nhess-20-567-2020, 2020
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Assessing tropical cyclone (TC) wind risk is challenging due to a lack of historical TC wind data. This paper presents a novel approach to simulating landfalling TC winds anywhere on Earth. It captures local features such as high winds over coastal hills and lulls over rough terrain. A dataset of over 700 global historical wind footprints has been generated to provide new views of historical events. This dataset can be used to advance our understanding of overland TC wind risk.
Omar Roberto Valverde-Arias, Paloma Esteve, Ana María Tarquis, and Alberto Garrido
Nat. Hazards Earth Syst. Sci., 20, 345–362, https://doi.org/10.5194/nhess-20-345-2020, https://doi.org/10.5194/nhess-20-345-2020, 2020
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We designed an index-based insurance (IBI) for drought and flood in rice crops in Babahoyo (Ecuador). We assessed Babahoyo's soil, climatic and topographic variability, finding two homogeneous zones inside this area. We set differentiated insurance premiums according to the particular risk status of each zone. Results demonstrate that this IBI is an efficient risk transfer tool for policyholders. This insurance design could contribute to stabilizing farmers' incomes and rice production.
Marc Mandement and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 20, 299–322, https://doi.org/10.5194/nhess-20-299-2020, https://doi.org/10.5194/nhess-20-299-2020, 2020
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The number of connected personal weather stations has dramatically increased in the last years. These weather stations produce a high number of data that need a thorough quality control to unleash their potential. A novel quality-control algorithm now allows us to take full advantage of these data and observe thunderstorms with fine-scale details that cannot be caught by standard networks. These results pave the way for tremendous advances in both understanding and forecasting thunderstorms.
Doug Richardson, Hayley J. Fowler, Christopher G. Kilsby, Robert Neal, and Rutger Dankers
Nat. Hazards Earth Syst. Sci., 20, 107–124, https://doi.org/10.5194/nhess-20-107-2020, https://doi.org/10.5194/nhess-20-107-2020, 2020
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Models are not particularly skilful at forecasting rainfall more than 15 d in advance. However, they are often better at predicting atmospheric variables such as mean sea-level pressure (MSLP). Comparing a range of models, we show that UK winter and autumn rainfall and drought prediction skill can be improved by utilising forecasts of MSLP-based weather patterns (WPs) and subsequently estimating rainfall using the historical WP–precipitation relationships.
Peter Stucki, Paul Froidevaux, Marcelo Zamuriano, Francesco Alessandro Isotta, Martina Messmer, and Andrey Martynov
Nat. Hazards Earth Syst. Sci., 20, 35–57, https://doi.org/10.5194/nhess-20-35-2020, https://doi.org/10.5194/nhess-20-35-2020, 2020
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In 1876, 1910, and 2005, Switzerland was impacted by extreme rainfall and floods. All events were linked to a Vb cyclone. We test a range of weather model setups (short spinup and standard physics are best) to understand the sensitivity of atmospheric dynamics. The simulated Vb cyclones are (not) well defined for 2005 and 1910 (1876). To reproduce the events, intense moisture flux from the right direction is needed. Storms that slightly deviate from an ideal path produce erroneous precipitation.
Maria Cortès, Marco Turco, Philip Ward, Josep A. Sánchez-Espigares, Lorenzo Alfieri, and Maria Carmen Llasat
Nat. Hazards Earth Syst. Sci., 19, 2855–2877, https://doi.org/10.5194/nhess-19-2855-2019, https://doi.org/10.5194/nhess-19-2855-2019, 2019
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The main objective of this paper is to estimate changes in the probability of damaging flood events with global warming of 1.5, 2 and 3 °C above pre-industrial levels and taking into account different socioeconomic scenarios in two western Mediterranean regions. The results show a general increase in the probability of a damaging event, with larger increments when higher warming is considered. Moreover, this increase is higher when both climate and population change are included.
Andreia F. S. Ribeiro, Ana Russo, Célia M. Gouveia, Patrícia Páscoa, and Carlos A. L. Pires
Nat. Hazards Earth Syst. Sci., 19, 2795–2809, https://doi.org/10.5194/nhess-19-2795-2019, https://doi.org/10.5194/nhess-19-2795-2019, 2019
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This work investigates the dependence between drought hazard and yield anomalies of rainfed cropping systems in the Iberian Peninsula using the copula theory. The applied methodology allows us to estimate the likelihood of wheat and barley loss under drought conditions, and a dependence among extreme values is suggested. From the decision-making point of view this study aims to contribute to the mitigation of drought-related crop failure.
Yoav Yair, Yifat Yair, Baruch Rubin, Ronit Confino-Cohen, Yosef Rosman, Eduardo Shachar, and Menachem Rottem
Nat. Hazards Earth Syst. Sci., 19, 2715–2725, https://doi.org/10.5194/nhess-19-2715-2019, https://doi.org/10.5194/nhess-19-2715-2019, 2019
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During severe thunderstorms, cold outflows can eject pollen and dust particles from the surface, releasing allergens and causing
thunderstorm asthmaepidemics in sensitive populations. We report the first case in Israel that occurred on 25 October 2015. The emergency room presentation records from three hospitals in central Israel showed a clear increase in patients with respiratory complaints immediately after the passage of a massive super-cell thunderstorm in the area.
Carlos D. Hoyos, Lina I. Ceballos, Jhayron S. Pérez-Carrasquilla, Julián Sepúlveda, Silvana M. López-Zapata, Manuel D. Zuluaga, Nicolás Velásquez, Laura Herrera-Mejía, Olver Hernández, Gisel Guzmán-Echavarría, and Mauricio Zapata
Nat. Hazards Earth Syst. Sci., 19, 2635–2665, https://doi.org/10.5194/nhess-19-2635-2019, https://doi.org/10.5194/nhess-19-2635-2019, 2019
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On the morning of 18 May 2015, a flash flood in the La Liboriana river basin inundated the town of Salgar, killing more than 100 people. The ultimate goal of science, regarding risk management, is to be able to reduce the number of people affected by severe storms. Our goal is to identify the meteorological conditions that led to the flood, assess the characteristics of the rainfall events before the disaster, and identify lessons for vulnerable regions settled in complex terrains.
Kees Nederhoff, Alessio Giardino, Maarten van Ormondt, and Deepak Vatvani
Nat. Hazards Earth Syst. Sci., 19, 2359–2370, https://doi.org/10.5194/nhess-19-2359-2019, https://doi.org/10.5194/nhess-19-2359-2019, 2019
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Tropical cyclone wind models are often used in engineering applications. However, these models lack the required accuracy when the size of the tropical cyclone is not known. In this paper, new relationships are derived to describe parameters affecting the size. These relationships are formulated using observed data and make it possible to estimate tropical cyclone size and to use this information in tropical cyclone wind models to obtain more reliable estimates of the tropical cyclone winds.
Yongqiang Liu, Lu Hao, Decheng Zhou, Cen Pan, Peilong Liu, Zhe Xiong, and Ge Sun
Nat. Hazards Earth Syst. Sci., 19, 2281–2294, https://doi.org/10.5194/nhess-19-2281-2019, https://doi.org/10.5194/nhess-19-2281-2019, 2019
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A transition zone often exists between a moist upper river reach and an arid lower reach in a watershed with complex topography. This zone is more suitable for human activities but is difficult to identify in climate classification. We found that a hydrological index overpowers a meteorological index in identifying a transition zone of a watershed in northwestern China, indicating the important role of the land-surface processes and human disturbances in formulating the transition zone.
William C. Arthur
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-192, https://doi.org/10.5194/nhess-2019-192, 2019
Revised manuscript accepted for NHESS
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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.
Stefano Federico, Rosa Claudia Torcasio, Elenio Avolio, Olivier Caumont, Mario Montopoli, Luca Baldini, Gianfranco Vulpiani, and Stefano Dietrich
Nat. Hazards Earth Syst. Sci., 19, 1839–1864, https://doi.org/10.5194/nhess-19-1839-2019, https://doi.org/10.5194/nhess-19-1839-2019, 2019
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This study shows the possibility to improve the weather forecast at the very short range (0–3 h) using lightning and/or radar reflectivity observations. We consider two challenging events that occurred over Italy, named Serrano and Livorno, characterized by moderate and exceptional rainfall, respectively.
The improvement given to the forecast by using the lightning and/or radar reflectivity observations is considerable. The best performance is obtained when using both data.
Pauline Rivoire, Yves Tramblay, Luc Neppel, Elke Hertig, and Sergio M. Vicente-Serrano
Nat. Hazards Earth Syst. Sci., 19, 1629–1638, https://doi.org/10.5194/nhess-19-1629-2019, https://doi.org/10.5194/nhess-19-1629-2019, 2019
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In order to define a dry period, a threshold for wet days is usually considered to account for measurement errors and evaporation. In the present study, we compare the threshold of 1 mm d−1, the most commonly used threshold, to a time-varying threshold describing evapotranspiration to compare how the risk of extreme dry spells is estimated with both thresholds. Results indicate that considering a fixed threshold can underestimate extreme dry spells during the extended summer.
Mien-Tze Kueh, Wen-Mei Chen, Yang-Fan Sheng, Simon C. Lin, Tso-Ren Wu, Eric Yen, Yu-Lin Tsai, and Chuan-Yao Lin
Nat. Hazards Earth Syst. Sci., 19, 1509–1539, https://doi.org/10.5194/nhess-19-1509-2019, https://doi.org/10.5194/nhess-19-1509-2019, 2019
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In this study, we show that both the model horizontal resolution and air–sea flux parameterization can exert a large influence on tropical cyclone intensity simulation but with different impacts on wind structures. We highlight the intensification and contraction of the TC eyewall in response to the reduction of grid spacing. We also suggest that a well-developed eyewall is more conducive to the positive effect of flux formulas on TC development.
Cheikh Modou Noreyni Fall, Christophe Lavaysse, Mamadou Simina Drame, Geremy Panthou, and Amadou Thierno Gaye
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-185, https://doi.org/10.5194/nhess-2019-185, 2019
Revised manuscript accepted for NHESS
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Extreme wet and dry rainfall periods over Senegal provided by satellite, reanalyses and observation datasets are examined and compared.
Despite a spatial coherence of the seasonal rainfall accumulation between all products, more variability with intra-seasonal features are shown. All datasets highlighted that dry spell indicator underscore often false start and early cessation of the rainy season. Finally, wet spells are more severe in observation and TRMM than in other datasets.
Zbigniew W. Kundzewicz, Buda Su, Yanjun Wang, Guojie Wang, Guofu Wang, Jinlong Huang, and Tong Jiang
Nat. Hazards Earth Syst. Sci., 19, 1319–1328, https://doi.org/10.5194/nhess-19-1319-2019, https://doi.org/10.5194/nhess-19-1319-2019, 2019
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Considering flood risk composed of hazard, exposure, and vulnerability from global to local scales, this paper reviews and presents increasing observed flood losses and projections of flood hazard and losses. We acknowledge existence of multiple driving factors and of considerable uncertainty, in particular with regards to projections for the future. Finally, this paper analyses options for flood risk reduction from a global framework to regional and local scales.
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Short summary
Heavy precipitation causes serious losses and several casualties in the western Mediterranean every year. To predict this phenomenon better, we aim at understanding how the models represent the interaction between atmospheric moisture and precipitation by nudging a 10 min, state-of-the-art GPS data set. We found, for the selected case in autumn 2012, that the improvement in the modelling of precipitation stems from relevant variations of atmospheric instability and humidity above 1.5 km.
Heavy precipitation causes serious losses and several casualties in the western Mediterranean...
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