Articles | Volume 22, issue 11
https://doi.org/10.5194/nhess-22-3701-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-3701-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Meteorological, impact and climate perspectives of the 29 June 2017 heavy precipitation event in the Berlin metropolitan area
Alberto Caldas-Alvarez
CORRESPONDING AUTHOR
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Markus Augenstein
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Georgy Ayzel
Universität Potsdam, Institute of Environmental Science and Geography, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
Klemens Barfus
Technische Universität Dresden, Institute of Hydrology and Meteorology, Pienner Straße 23, 01737 Tharandt, Germany
Ribu Cherian
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
Lisa Dillenardt
Universität Potsdam, Institute of Environmental Science and Geography, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
Felix Fauer
Freie Universität Berlin, Institute of Meteorology, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Hendrik Feldmann
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Maik Heistermann
Universität Potsdam, Institute of Environmental Science and Geography, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
Alexia Karwat
Universität Hamburg, Meteorological Institute, Grindelberg 5, 20144 Hamburg, Germany
Frank Kaspar
Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach am Main, Germany
Heidi Kreibich
Section Hydrology, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Etor Emanuel Lucio-Eceiza
Freie Universität Berlin, Institute of Meteorology, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Deutsches Klimarechenzentrum, Bundesstraße 45a, 20146 Hamburg, Germany
Edmund P. Meredith
Freie Universität Berlin, Institute of Meteorology, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Susanna Mohr
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Deborah Niermann
Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach am Main, Germany
Stephan Pfahl
Freie Universität Berlin, Institute of Meteorology, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Florian Ruff
Freie Universität Berlin, Institute of Meteorology, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Henning W. Rust
Freie Universität Berlin, Institute of Meteorology, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Lukas Schoppa
Universität Potsdam, Institute of Environmental Science and Geography, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
Section Hydrology, GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
Thomas Schwitalla
Institute of Physics and Meteorology, University of Hohenheim, Garbenstraß 30, 70599 Stuttgart, Germany
Stella Steidl
Deutscher Wetterdienst, Frankfurter Straße 135, 63067 Offenbach am Main, Germany
Annegret H. Thieken
Universität Potsdam, Institute of Environmental Science and Geography, Karl-Liebknecht-Str. 24–25, 14476 Potsdam, Germany
Jordis S. Tradowsky
Deutscher Wetterdienst, Regionales Klimabüro Potsdam, Güterfelder Damm 87–91 14532 Stahnsdorf, Germany
Bodeker Scientific, 42 Russell Street, Alexandra 9391, New Zealand
Volker Wulfmeyer
Institute of Physics and Meteorology, University of Hohenheim, Garbenstraß 30, 70599 Stuttgart, Germany
Institute for Meteorology, Universität Leipzig, Leipzig, Germany
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Cited
9 citations as recorded by crossref.
- AI-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes A. Magnini et al. 10.1016/j.jhydrol.2024.130808
- A downward-counterfactual analysis of flash floods in Germany P. Voit & M. Heistermann 10.5194/nhess-24-2147-2024
- Cell tracking of convective rainfall: sensitivity of climate-change signal to tracking algorithm and cell definition (Cell-TAO v1.0) E. Meredith et al. 10.5194/gmd-16-851-2023
- Effects of land use change on runoff depth in the Songnen Plain, China Z. Lu et al. 10.1038/s41598-024-75469-z
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change P. Ludwig et al. 10.5194/nhess-23-1287-2023
- Property-level adaptation to pluvial flooding: An analysis of individual behaviour and risk communication material L. Dillenardt et al. 10.1007/s11027-024-10148-y
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis S. Mohr et al. 10.5194/nhess-23-525-2023
- Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy N. Mat Jan et al. 10.4081/gh.2023.1236
- On the event-based extreme precipitation in the Xiangjiang River Basin, China: temporal-spatial distribution and future trends L. Yang et al. 10.1007/s11069-024-06412-8
9 citations as recorded by crossref.
- AI-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes A. Magnini et al. 10.1016/j.jhydrol.2024.130808
- A downward-counterfactual analysis of flash floods in Germany P. Voit & M. Heistermann 10.5194/nhess-24-2147-2024
- Cell tracking of convective rainfall: sensitivity of climate-change signal to tracking algorithm and cell definition (Cell-TAO v1.0) E. Meredith et al. 10.5194/gmd-16-851-2023
- Effects of land use change on runoff depth in the Songnen Plain, China Z. Lu et al. 10.1038/s41598-024-75469-z
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change P. Ludwig et al. 10.5194/nhess-23-1287-2023
- Property-level adaptation to pluvial flooding: An analysis of individual behaviour and risk communication material L. Dillenardt et al. 10.1007/s11027-024-10148-y
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis S. Mohr et al. 10.5194/nhess-23-525-2023
- Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy N. Mat Jan et al. 10.4081/gh.2023.1236
- On the event-based extreme precipitation in the Xiangjiang River Basin, China: temporal-spatial distribution and future trends L. Yang et al. 10.1007/s11069-024-06412-8
Latest update: 13 Dec 2024
Short summary
In a warming climate, extreme precipitation events are becoming more frequent. To advance our knowledge on such phenomena, we present a multidisciplinary analysis of a selected case study that took place on 29 June 2017 in the Berlin metropolitan area. Our analysis provides evidence of the extremeness of the case from the atmospheric and the impacts perspectives as well as new insights on the physical mechanisms of the event at the meteorological and climate scales.
In a warming climate, extreme precipitation events are becoming more frequent. To advance our...
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