Articles | Volume 21, issue 4
https://doi.org/10.5194/nhess-21-1195-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1195-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Apr 2021
Research article |
| 09 Apr 2021
| 09 Apr 2021
An analysis of temporal scaling behaviour of extreme rainfall in Germany based on radar precipitation QPE data
Judith Marie Pöschmann
CORRESPONDING AUTHOR
Department of Hydrosciences, Institute of Hydrology and Meteorology, Technische Universität Dresden, 01069 Dresden, Germany
Dongkyun Kim
Department of Civil and Environmental Engineering, Hongik University, Wausan-ro 94, Mapo-gu, 04066 Seoul, Korea
Rico Kronenberg
Department of Hydrosciences, Institute of Hydrology and Meteorology, Technische Universität Dresden, 01069 Dresden, Germany
Christian Bernhofer
Department of Hydrosciences, Institute of Hydrology and Meteorology, Technische Universität Dresden, 01069 Dresden, Germany
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Cited
14 citations as recorded by crossref.
- Analysis on the temporal scaling behavior of extreme rainfall in Korean Peninsula based on high-resolution radar-based precipitation data S. Kim et al. 10.1016/j.ejrh.2024.101915
- TRMM-era neural networks for GPM-era satellite quantitative precipitation estimation (QPE) L. Leganés et al. 10.1016/j.atmosres.2024.107879
- Exploring patterns in precipitation intensity–duration–area–frequency relationships using weather radar data T. Rosin et al. 10.5194/hess-28-3549-2024
- Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
- Using high-resolution regional climate models to estimate return levels of daily extreme precipitation over Bavaria B. Poschlod 10.5194/nhess-21-3573-2021
- Extreme precipitation records in Antarctica S. González‐Herrero et al. 10.1002/joc.8020
- Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data N. Ebers et al. 10.5194/nhess-24-2025-2024
- Variability of sampling adjustment factors for extreme rainfall in Germany J. Pöschmann et al. 10.1007/s00704-023-04511-3
- An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis Y. Kim et al. 10.1109/TGRS.2024.3366400
- A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation W. Zhu et al. 10.3390/atmos13040612
- Enhancing the usability of weather radar data for the statistical analysis of extreme precipitation events A. Hänsler & M. Weiler 10.5194/hess-26-5069-2022
- A new index to quantify the extremeness of precipitation across scales P. Voit & M. Heistermann 10.5194/nhess-22-2791-2022
- Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks G. Wu et al. 10.1007/s40534-022-00281-2
- Evaluation of Long-Term Radar-Derived Precipitation for Water Balance Estimates: A Case Study for Multiple Catchments in Saxony, Germany T. Luong et al. 10.3390/hydrology9110204
13 citations as recorded by crossref.
- Analysis on the temporal scaling behavior of extreme rainfall in Korean Peninsula based on high-resolution radar-based precipitation data S. Kim et al. 10.1016/j.ejrh.2024.101915
- TRMM-era neural networks for GPM-era satellite quantitative precipitation estimation (QPE) L. Leganés et al. 10.1016/j.atmosres.2024.107879
- Exploring patterns in precipitation intensity–duration–area–frequency relationships using weather radar data T. Rosin et al. 10.5194/hess-28-3549-2024
- Estimation of Peak Discharges under Different Rainfall Depth–Duration–Frequency Formulations A. Gioia et al. 10.3390/hydrology8040150
- Using high-resolution regional climate models to estimate return levels of daily extreme precipitation over Bavaria B. Poschlod 10.5194/nhess-21-3573-2021
- Extreme precipitation records in Antarctica S. González‐Herrero et al. 10.1002/joc.8020
- Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data N. Ebers et al. 10.5194/nhess-24-2025-2024
- Variability of sampling adjustment factors for extreme rainfall in Germany J. Pöschmann et al. 10.1007/s00704-023-04511-3
- An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis Y. Kim et al. 10.1109/TGRS.2024.3366400
- A Quantitative Analysis of the Influence of Temperature Change on the Extreme Precipitation W. Zhu et al. 10.3390/atmos13040612
- Enhancing the usability of weather radar data for the statistical analysis of extreme precipitation events A. Hänsler & M. Weiler 10.5194/hess-26-5069-2022
- A new index to quantify the extremeness of precipitation across scales P. Voit & M. Heistermann 10.5194/nhess-22-2791-2022
- Pantograph–catenary electrical contact system of high-speed railways: recent progress, challenges, and outlooks G. Wu et al. 10.1007/s40534-022-00281-2
Latest update: 23 Apr 2025
Short summary
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.
We examined maximum rainfall values for different durations from 16 years of radar-based...
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