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Abstracted/indexedShort summary
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.
A set of models is developed to forecast hourly probabilities of weather-related road accidents...
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NHESS | Articles | Volume 20, issue 10
Nat. Hazards Earth Syst. Sci., 20, 2857–2871, 2020
https://doi.org/10.5194/nhess-20-2857-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 20, 2857–2871, 2020
https://doi.org/10.5194/nhess-20-2857-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 29 Oct 2020
Research article | 29 Oct 2020
Predictive modeling of hourly probabilities for weather-related road accidents
Nico Becker et al.
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The storyline approach to extreme event attribution takes the event as given (and mainly due to weather variability) and asks how it was affected by known aspects of climate change. We show how this approach can be implemented within a global climate model, illustrated by application to the European 2003 and Russian 2010 heatwaves which show that such a conditional attribution features a high signal-to-noise ratio on daily timescales and at local spatial scales.
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.
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.
Nadia Fourrié, Mathieu Nuret, Pierre Brousseau, and Olivier Caumont
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-153, https://doi.org/10.5194/nhess-2020-153, 2020
Revised manuscript accepted for NHESS
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Impact of assimilation of various observation data set on the forecasts is studied in a mesoscale weather model. The ground-based GNSS Zenithal Total Delay data set providing information on humidity has the largest impact on the analyses and the forecasts. Indeed it represents an evenly spread and frequent data set available at 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.
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.
David MacLeod, Mary Kilavi, Emmah Mwangi, Maurine Ambani, Joanne Robbins, Richard Graham, Pedram Rowhani, and Martin C. Todd
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-122, https://doi.org/10.5194/nhess-2020-122, 2020
Revised manuscript accepted for NHESS
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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.
Kelvin S. Ng and Gregor C. Leckebusch
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-74, https://doi.org/10.5194/nhess-2020-74, 2020
Revised manuscript accepted for NHESS
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Of severe tropical cyclones (TCs) lead to devastating losses. Nevertheless, to construct a robust risk assessment is difficult based on historical TC records only. This paper addresses this issue by introducing a computationally simple approach, using operational ensemble forecasts to build a physically consistent high-impact TC event set with data equivalent to more than 10 000 years of TC events. This method will be of high relevance for insurance and disaster risk reduction applications.
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.
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.
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.
Sorin Burcea, Roxana Cică, and Roxana Bojariu
Nat. Hazards Earth Syst. Sci., 19, 1305–1318, https://doi.org/10.5194/nhess-19-1305-2019, https://doi.org/10.5194/nhess-19-1305-2019, 2019
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The mapping of convective storms in the area of the transboundary Prut River basin was developed using a 15-year radar dataset (2003–2017). The analysis is based on data sampled in successive 6 min scans of the atmosphere, to detect and track the convective storms. The results highlighted a yearly, monthly, and daily variation of convective activity but also spatial distribution patterns. The study of atmospheric convection is important in assessing the risks associated with extreme weather.
Marina Peña-Gallardo, Sergio Martín Vicente-Serrano, Fernando Domínguez-Castro, and Santiago Beguería
Nat. Hazards Earth Syst. Sci., 19, 1215–1234, https://doi.org/10.5194/nhess-19-1215-2019, https://doi.org/10.5194/nhess-19-1215-2019, 2019
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Drought events are of great importance in most Mediterranean climate regions, and the impacts caused on rainfed crops are particularly evident. In this study the impacts of drought on two representative rainfed crops in Spain (wheat and barley) are assessed by testing various worldwide drought indices and two datasets at different spatial resolution.
Sergio M. Vicente-Serrano, Cesar Azorin-Molina, Marina Peña-Gallardo, Miquel Tomas-Burguera, Fernando Domínguez-Castro, Natalia Martín-Hernández, Santiago Beguería, Ahmed El Kenawy, Iván Noguera, and Mónica García
Nat. Hazards Earth Syst. Sci., 19, 1189–1213, https://doi.org/10.5194/nhess-19-1189-2019, https://doi.org/10.5194/nhess-19-1189-2019, 2019
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Drought is a major driver of vegetation activity in Spain. Here we used a high-resolution remote-sensing dataset spanning the period from 1981 to 2015 to assess the sensitivity of 23 vegetation types to drought across Spain. Results demonstrate that vegetation activity is controlled largely by the interannual variability of drought. Nevertheless, there are some considerable spatio-temporal variations, which can be linked to differences in land cover and aridity conditions.
Alfredo Rodríguez, David Pérez-López, Enrique Sánchez, Ana Centeno, Iñigo Gómara, Alessandro Dosio, and Margarita Ruiz-Ramos
Nat. Hazards Earth Syst. Sci., 19, 1087–1103, https://doi.org/10.5194/nhess-19-1087-2019, https://doi.org/10.5194/nhess-19-1087-2019, 2019
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Growing trees are vulnerable to cold temperatures. Fruit trees stop their growth during the coldest months of the year until meeting a required cold accumulation, specific for each tree species and variety. Under global warming, a reduction in cold accumulation in Spain is projected. This threatens the viability of some current tree crops and varieties in some areas, but other varieties with less requirements can be used. Our results allow adaptation of tree plantations to climate change.
Frank Colberg, Kathleen L. McInnes, Julian O'Grady, and Ron Hoeke
Nat. Hazards Earth Syst. Sci., 19, 1067–1086, https://doi.org/10.5194/nhess-19-1067-2019, https://doi.org/10.5194/nhess-19-1067-2019, 2019
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This study investigates coastal sea level variability and extremes
around Australia, taking into account historical conditions and future
atmospheric changes. Modelling suggests changes in future extreme sea levels may occur. A southward movement of the subtropical ridge leads to reduced sea level extremes in many areas, while changes over the Gulf of Carpentaria are largest and positive during austral summer in two of four simulations, likely associated with changes in the northwest monsoon.
Luca Mathias, Patrick Ludwig, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 19, 1023–1040, https://doi.org/10.5194/nhess-19-1023-2019, https://doi.org/10.5194/nhess-19-1023-2019, 2019
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Convective systems producing severe winds occasionally affect Europe during wintertime and the majority of these storms develop along well-defined cold fronts of extratropical cyclones. However, on 3 January 2014, a storm formed in a postfrontal air mass over western Europe. This study analyses the prevailing environmental conditions and the predictability of this storm. Our results reveal the difficulty of forecasting cold-season convective storms when they are not associated with a cold front.
Peter Berg, Ole B. Christensen, Katharina Klehmet, Geert Lenderink, Jonas Olsson, Claas Teichmann, and Wei Yang
Nat. Hazards Earth Syst. Sci., 19, 957–971, https://doi.org/10.5194/nhess-19-957-2019, https://doi.org/10.5194/nhess-19-957-2019, 2019
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A state-of-the-art regional climate model ensemble for Europe is investigated for extreme precipitation intensities. The models poorly reproduce short duration events of less than a few hours. Further, there is poor connection to some known hotspots for extreme cases. The model performance is much improved at 12 h durations. Projected future increases scale with seasonal mean temperature change, within a range from a few percent to over 10 percent per degree Celsius.
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Short summary
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.
A set of models is developed to forecast hourly probabilities of weather-related road accidents...
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