Flood-Related Extreme Precipitation in Southwestern Germany: Development of a 
Two-Dimensional Stochastic Precipitation Model

Ehmele, Florian; Kunz, Michael

doi:10.5194/hess-2018-147

Cited by 2 publications

(4 citation statements)

References 33 publications

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“…Note that HYRAS data are inhomogeneous due to the changing number, location and instrumentation of the used observations over the years. Furthermore, there is a certain bias in precipitation totals especially over complex terrain, where the number of observations is limited (Kunz, 2011;Ehmele and Kunz, 2018). In this study we use the 5 km version of HYRAS interpolated to the E-OBS grid.…”

Section: Observational Datamentioning

confidence: 99%

“…R is Pearson's correlation coefficient and R 0 the maximum attainable correlation coefficient. R 0 is defined as maximum of all coefficients from the different datasets (here, the model runs with different bias correction) plus 10%, following Ehmele and Kunz (2018). S ranges from 0 to 1, where values close to 1 indicate a high resemblance between the model and the observational data.…”

Section: A3 Power Transformationmentioning

confidence: 99%

“…On the other hand, reanalysis provide homogeneous datasets covering long time periods with the limitation of a coarse resolution. Approaches to overcome the problem of small sample sizes are either to develop stochastic precipitation models (e.g., Richardson, 1981;Ehmele and Kunz, 2018) or to downscale centennial reanalysis datasets (e.g., Stucki et al, 2016). Within the Miklip project ("decadal climate predictions"; Marotzke et al, 2016), a regional component of the decadal prediction system was developed for Europe (Feldmann et al, submitted), leading to the generation of 5,800 years of regional climate model hindcast data for the last 60 years.…”

Section: Introductionmentioning

confidence: 99%

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Towards the Development of a Pan-European Stochastic Precipitation Dataset

Kautz

Ehmele

Ludwig

et al. 2019

Preprint

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Abstract. Heavy precipitation leading to widespread river floods are one of the main natural hazards affecting Central Europe. Since extreme precipitation events associated with devastating floods have long return periods, long-term datasets are needed to adequately quantify the frequency and intensity of these events. As long-term observations of precipitation across Europe are rare and not homogeneous in space nor time, they are generally not suitable to run hydrological models. In the present study, a combined approach is presented on how to generate a consistent precipitation dataset based on dynamical downscaling and post-processing statistics. Focus is given to five river catchments in Central Europe: Upper Danube, Elbe, Oder, Rhine, and Vistula. Reanalysis data are dynamically downscaled with a regional climate model and bias corrected towards observations. Empirical quantile mapping was identified as one of the most suitable methods to correct the bias in model precipitation. For most of the top ten precipitation events of large European river catchments, bias correction led to clear improvements towards the raw model data. However, results for Western European rivers (e.g., Rhine) are typically better than for Eastern European rivers (e.g., Vistula), which may also be associated with observational gaps for the latter. Two examples of severe river floods are presented in more detail: the Rhine river flood in winter 1995 and the flood in the Upper Danube and Vistula in June 2009. While the former was already well presented without bias correction, for the latter, bias correction improved underestimated precipitation amounts in the Upper Danube but not in the Vistula catchment. In conclusion, this method can be applied to other extensive datasets towards the development of a Pan-European stochastic precipitation dataset.

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Section: Observational Datamentioning

confidence: 99%

Section: A3 Power Transformationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards the Development of a Pan-European Stochastic Precipitation Dataset

Kautz

Ehmele

Ludwig

et al. 2019

Preprint

Self Cite

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“…In addition, with the change of global climate, extremely harsh environments of different types and degrees may appear in different countries over the world. Take the climate and environmental factors in some typical countries with advanced high-speed train technology for example: earthquakes and typhoons sometimes occur in Japan [3][4][5], heavy rainfall occasionally occurs in Europe [6][7][8][9][10][11][12][13][14][15], and strong snowstorms usually occur in Russia [16,17], as shown in Fig. 2.…”

Section: Introductionmentioning

confidence: 99%

Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks

Dong

et al. 2022

Rail. Eng. Science

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As the unique power entrance, the pantograph–catenary electrical contact system maintains the efficiency and reliability of power transmission for the high-speed train. Along with the fast development of high-speed railways all over the world, some commercialized lines are built for covering the remote places under harsh environment, especially in China; these environmental elements including wind, sand, rain, thunder, ice and snow need to be considered during the design of the pantograph–catenary system. The pantograph–catenary system includes the pantograph, the contact wire and the interface—pantograph slide. As the key component, this pantograph slide plays a critical role in reliable power transmission under dynamic condition. The fundamental material characteristics of the pantograph slide and contact wire such as electrical conductivity, impact resistance, wear resistance, etc., directly determine the sliding electrical contact performance of the pantograph–catenary system; meanwhile, different detection methods of the pantograph–catenary system are crucial for the reliability of service and maintenance. In addition, the challenges brought from extreme operational conditions are discussed, taking the Sichuan–Tibet Railway currently under construction as a special example with the high-altitude climate. The outlook for developing the ultra-high-speed train equipped with the novel pantograph–catenary system which can address the harsher operational environment is also involved. This paper has provided a comprehensive review of the high-speed railway pantograph–catenary systems, including its progress, challenges, outlooks in the history and future.

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Flood-Related Extreme Precipitation in Southwestern Germany: Development of a Two-Dimensional Stochastic Precipitation Model

Cited by 2 publications

References 33 publications

Towards the Development of a Pan-European Stochastic Precipitation Dataset

Towards the Development of a Pan-European Stochastic Precipitation Dataset

Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks

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