Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, Johannes Quaas
- Extreme precipitation is a weather phenomenon with tremendous damaging potential for property and human life. As the intensity and frequency of such events is projected to increase in a warming climate, there is an urgent need to advance the existing knowledge on extreme precipitation processes, statistics and impacts across scales. To this end, a working group within the Germany-based project, ClimXtreme, has been established to carry out multidisciplinary analyses of high-impact events. In this work, we provide a comprehensive assessment of the 29 June 2017 heavy precipitation event (HPE) affecting the Berlin metropolitan region (Germany), from the meteorological, impacts and climate perspectives, including climate change attribution. Our analysis showed that this event occurred under the influence of a mid-tropospheric trough over western Europe and two shortwave surface lows over Britain and Poland (Rasmund and Rasmund II), inducing relevant low-level wind convergence along the German-Polish border. Over 11 000 convective cellsExtreme precipitation is a weather phenomenon with tremendous damaging potential for property and human life. As the intensity and frequency of such events is projected to increase in a warming climate, there is an urgent need to advance the existing knowledge on extreme precipitation processes, statistics and impacts across scales. To this end, a working group within the Germany-based project, ClimXtreme, has been established to carry out multidisciplinary analyses of high-impact events. In this work, we provide a comprehensive assessment of the 29 June 2017 heavy precipitation event (HPE) affecting the Berlin metropolitan region (Germany), from the meteorological, impacts and climate perspectives, including climate change attribution. Our analysis showed that this event occurred under the influence of a mid-tropospheric trough over western Europe and two shortwave surface lows over Britain and Poland (Rasmund and Rasmund II), inducing relevant low-level wind convergence along the German-Polish border. Over 11 000 convective cells were triggered, starting early morning 29 June, displacing northwards slowly under the influence of a weak tropospheric flow (10 m s(-1) at 500 hPa). The quasi-stationary situation led to totals up to 196 mm d(-1), making this event the 29 June most severe in the 1951-2021 climatology, ranked by means of a precipitation-based index. Regarding impacts, it incurred the largest insured losses in the period 2002 to 2017 (EUR 60 million) in the greater Berlin area. We provide further insights on flood attributes (inundation, depth, duration) based on a unique household-level survey data set. The major moisture source for this event was the Alpine-Slovenian region (63 % of identified sources) due to recycling of precipitation falling over that region 1 d earlier. Implementing three different generalised extreme value (GEV) models, we quantified the return periods for this case to be above 100 years for daily aggregated precipitation, and up to 100 and 10 years for 8 and 1 h aggregations, respectively. The conditional attribution demonstrated that warming since the pre-industrial era caused a small but significant increase of 4 % in total precipitation and 10 % for extreme intensities. The possibility that not just greenhouse-gas-induced warming, but also anthropogenic aerosols affected the intensity of precipitation is investigated through aerosol sensitivity experiments. Our multi-disciplinary approach allowed us to relate interconnected aspects of extreme precipitation. For instance, the link between the unique meteorological conditions of this case and its very large return periods, or the extent to which it is attributable to already-observed anthropogenic climate change.…
MetadatenAuthor details: | Alberto Caldas-AlvarezORCiD, Markus Augenstein, Georgy AyzelORCiDGND, Klemens BarfusORCiD, Ribu CherianORCiD, Lisa DillenardtORCiD, Felix FauerORCiD, Hendrik FeldmannORCiD, Maik HeistermannORCiDGND, Alexia Karwat, Frank KasparORCiD, Heidi KreibichORCiD, Etor Emanuel Lucio-EceizaORCiD, Edmund P. MeredithORCiD, Susanna MohrORCiD, Deborah Niermann, Stephan PfahlORCiD, Florian RuffORCiD, Henning W. RustORCiD, Lukas SchoppaORCiDGND, Thomas SchwitallaORCiD, Stella SteidlORCiD, Annegret ThiekenORCiDGND, Jordis S. TradowskyORCiD, Volker WulfmeyerORCiD, Johannes QuaasORCiD |
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DOI: | https://doi.org/10.5194/nhess-22-3701-2022 |
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ISSN: | 1561-8633 |
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ISSN: | 1684-9981 |
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Title of parent work (English): | Natural hazards and earth system sciences : NHESS |
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Publisher: | Copernicus |
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Place of publishing: | Katlenburg-Lindau |
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Publication type: | Article |
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Language: | English |
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Date of first publication: | 2022/11/17 |
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Publication year: | 2022 |
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Release date: | 2024/11/29 |
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Volume: | 22 |
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Issue: | 11 |
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Number of pages: | 24 |
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First page: | 3701 |
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Last Page: | 3724 |
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Funding institution: | Bundesministerium fuer Bildung und Forschung; Deutsche; Forschungsgemein-schaft [01LP1901A, 01LP1902D, 01LP1902H, 01LP1902C,; 01LP1905A, 01LP1902F, 01LP1903E, 01LP1901C, 01LP1902B, 01LP1904C,; 01LP1903B, 01LP1904A, 0330701C, 01LR1709A1]; DeutschesKlimarechenzentrum; [GRK 2043/2]; Universitaet Stuttgart [bb1152] |
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Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie |
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DDC classification: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
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Peer review: | Referiert |
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Publishing method: | Open Access / Gold Open-Access |
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| DOAJ gelistet |
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License (German): | CC-BY - Namensnennung 4.0 International |
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