Articles | Volume 21, issue 11
https://doi.org/10.5194/nhess-21-3573-2021
© 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-21-3573-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Using high-resolution regional climate models to estimate return levels of daily extreme precipitation over Bavaria
Benjamin Poschlod
CORRESPONDING AUTHOR
Department of Geography, Ludwig-Maximilians-Universität
München, 80333 Munich, Germany
now at: Research Department, Berchtesgaden National Park,
83471 Berchtesgaden, Germany
Viewed
Total article views: 3,050 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Mar 2021)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
2,023 | 947 | 80 | 3,050 | 269 | 78 | 82 |
- HTML: 2,023
- PDF: 947
- XML: 80
- Total: 3,050
- Supplement: 269
- BibTeX: 78
- EndNote: 82
Total article views: 2,087 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Nov 2021)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,504 | 519 | 64 | 2,087 | 134 | 72 | 73 |
- HTML: 1,504
- PDF: 519
- XML: 64
- Total: 2,087
- Supplement: 134
- BibTeX: 72
- EndNote: 73
Total article views: 963 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Mar 2021)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
519 | 428 | 16 | 963 | 135 | 6 | 9 |
- HTML: 519
- PDF: 428
- XML: 16
- Total: 963
- Supplement: 135
- BibTeX: 6
- EndNote: 9
Viewed (geographical distribution)
Total article views: 3,050 (including HTML, PDF, and XML)
Thereof 2,875 with geography defined
and 175 with unknown origin.
Total article views: 2,087 (including HTML, PDF, and XML)
Thereof 1,995 with geography defined
and 92 with unknown origin.
Total article views: 963 (including HTML, PDF, and XML)
Thereof 880 with geography defined
and 83 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
16 citations as recorded by crossref.
- Future precipitation extremes and urban flood risk assessment using a non-stationary and convection-permitting climate-hydrodynamic modeling framework P. Laux et al. 10.1016/j.jhydrol.2025.133607
- Role of mean and variability change in changes in European annual and seasonal extreme precipitation events R. Wood 10.5194/esd-14-797-2023
- Frequency analysis of extreme rainfall over the Japanese archipelago by leveraging gauge-adjusted radar and satellite estimates S. Mtibaa 10.1016/j.jhydrol.2024.131425
- Estimation of design precipitation using weather radar in Germany: A comparison of statistical methods K. Lengfeld & F. Marra 10.1016/j.ejrh.2024.101952
- Sub-daily precipitation returns levels in ungauged locations: Added value of combining observations with convection permitting simulations G. Formetta et al. 10.1016/j.advwatres.2024.104851
- Climate extremes and risks: links between climate science and decision-making J. Sillmann et al. 10.3389/fclim.2024.1499765
- How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation? E. Dallan et al. 10.5194/hess-27-1133-2023
- A global perspective on the spatial representation of climate extremes from km-scale models L. Brunner et al. 10.1088/1748-9326/ade1ef
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod 10.1016/j.wace.2022.100492
- Uncertainty estimation of regionalised depth–duration–frequency curves in Germany B. Shehu & U. Haberlandt 10.5194/hess-27-2075-2023
- Predicting extreme sub-hourly precipitation intensification based on temperature shifts F. Marra et al. 10.5194/hess-28-375-2024
- The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis F. Zabel & B. Poschlod 10.5194/gmd-16-5383-2023
- Updating catastrophe models to today’s climate – An application of a large ensemble approach to extreme rainfall A. Lang & B. Poschlod 10.1016/j.crm.2024.100594
- Quantifying patch size distributions of forest disturbances in protected areas across the European Alps M. Maroschek et al. 10.1111/jbi.14760
- Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble F. Willkofer et al. 10.5194/hess-28-2969-2024
- A method to derive satellite-based extreme precipitation return levels in poorly gauged areas M. Siena et al. 10.1016/j.jhydrol.2023.130295
16 citations as recorded by crossref.
- Future precipitation extremes and urban flood risk assessment using a non-stationary and convection-permitting climate-hydrodynamic modeling framework P. Laux et al. 10.1016/j.jhydrol.2025.133607
- Role of mean and variability change in changes in European annual and seasonal extreme precipitation events R. Wood 10.5194/esd-14-797-2023
- Frequency analysis of extreme rainfall over the Japanese archipelago by leveraging gauge-adjusted radar and satellite estimates S. Mtibaa 10.1016/j.jhydrol.2024.131425
- Estimation of design precipitation using weather radar in Germany: A comparison of statistical methods K. Lengfeld & F. Marra 10.1016/j.ejrh.2024.101952
- Sub-daily precipitation returns levels in ungauged locations: Added value of combining observations with convection permitting simulations G. Formetta et al. 10.1016/j.advwatres.2024.104851
- Climate extremes and risks: links between climate science and decision-making J. Sillmann et al. 10.3389/fclim.2024.1499765
- How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation? E. Dallan et al. 10.5194/hess-27-1133-2023
- A global perspective on the spatial representation of climate extremes from km-scale models L. Brunner et al. 10.1088/1748-9326/ade1ef
- Attributing heavy rainfall event in Berchtesgadener Land to recent climate change – Further rainfall intensification projected for the future B. Poschlod 10.1016/j.wace.2022.100492
- Uncertainty estimation of regionalised depth–duration–frequency curves in Germany B. Shehu & U. Haberlandt 10.5194/hess-27-2075-2023
- Predicting extreme sub-hourly precipitation intensification based on temperature shifts F. Marra et al. 10.5194/hess-28-375-2024
- The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis F. Zabel & B. Poschlod 10.5194/gmd-16-5383-2023
- Updating catastrophe models to today’s climate – An application of a large ensemble approach to extreme rainfall A. Lang & B. Poschlod 10.1016/j.crm.2024.100594
- Quantifying patch size distributions of forest disturbances in protected areas across the European Alps M. Maroschek et al. 10.1111/jbi.14760
- Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble F. Willkofer et al. 10.5194/hess-28-2969-2024
- A method to derive satellite-based extreme precipitation return levels in poorly gauged areas M. Siena et al. 10.1016/j.jhydrol.2023.130295
Latest update: 24 Jun 2025
Short summary
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.
Three regional climate models (RCMs) are used to simulate extreme daily rainfall in Bavaria...
Altmetrics
Final-revised paper
Preprint