Articles | Volume 30, issue 12
https://doi.org/10.5194/hess-30-4075-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-4075-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jun 2026
Research article |
| 30 Jun 2026
| 30 Jun 2026
The September 2024 Danube flood compared to the 1899, 2002, and 2013 events: a hydrometeorological analysis in a changing climate
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna, Austria
Peter Valent
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna, Austria
Miriam Bertola
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna, Austria
Juraj Parajka
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna, Austria
Klaus Haslinger
Department for Climate-Impact Research, Geosphere Austria (GSA), Vienna, Austria
Benedikt Bica
Department for Climate-Impact Research, Geosphere Austria (GSA), Vienna, Austria
Georg Pistotnik
Department for Climate-Impact Research, Geosphere Austria (GSA), Vienna, Austria
Korbinian Breinl
Federal Ministry of Agriculture and Forestry, Climate and Environmental Protection, Regions and Water Management, Directorate Water Balance, Vienna, Austria
Gabriele Müller
Federal Ministry of Agriculture and Forestry, Climate and Environmental Protection, Regions and Water Management, Directorate Water Balance, Vienna, Austria
Lovrenc Pavlin
Federal Ministry of Agriculture and Forestry, Climate and Environmental Protection, Regions and Water Management, Directorate Water Balance, Vienna, Austria
Bianca Kahl
Office of the Provincial Government of Lower Austria, Department of Water Management, St. Pölten, Austria
Achim Naderer
viadonau – Österreichische Wasserstraßen-Gesellschaft mbH, Vienna, Austria
Günter Blöschl
Institute of Hydraulic Engineering and Water Resources Management, TU Wien, Vienna, Austria
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David Lun, Alberto Viglione, Miriam Bertola, Jürgen Komma, Juraj Parajka, Peter Valent, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 5535–5560, https://doi.org/10.5194/hess-25-5535-2021, https://doi.org/10.5194/hess-25-5535-2021, 2021
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Ruth Stephan, Mathilde Erfurt, Stefano Terzi, Maja Žun, Boštjan Kristan, Klaus Haslinger, and Kerstin Stahl
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The Alpine Drought Impact report Inventory (EDIIALPS) archives drought impact reports across the European Alpine region with an increasing number of impacts over time. The most affected sectors are agriculture and livestock farming and public water supply, for which management strategies are essential for future climate regimes. We show spatial heterogeneity and seasonal differences between the impacted sectors and between impacts triggered by soil moisture drought and hydrological drought.
Concetta Di Mauro, Renaud Hostache, Patrick Matgen, Ramona Pelich, Marco Chini, Peter Jan van Leeuwen, Nancy K. Nichols, and Günter Blöschl
Hydrol. Earth Syst. Sci., 25, 4081–4097, https://doi.org/10.5194/hess-25-4081-2021, https://doi.org/10.5194/hess-25-4081-2021, 2021
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This study evaluates how the sequential assimilation of flood extent derived from synthetic aperture radar data can help improve flood forecasting. In particular, we carried out twin experiments based on a synthetically generated dataset with controlled uncertainty. Our empirical results demonstrate the efficiency of the proposed data assimilation framework, as forecasting errors are substantially reduced as a result of the assimilation.
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973, https://doi.org/10.5194/hess-25-3937-2021, https://doi.org/10.5194/hess-25-3937-2021, 2021
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The R programming language has become an important tool for many applications in hydrology. In this study, we provide an analysis of some of the R tools providing hydrological models. In total, two aspects are uniformly investigated, namely the conceptualisation of the models and the practicality of their implementation for end-users. These comparisons aim at easing the choice of R tools for users and at improving their usability for hydrology modelling to support more transferable research.
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Bertola, M., Viglione, A., Lun, D., Hall, J., and Blöschl, G.: Flood trends in Europe: are changes in small and big floods different?, Hydrol. Earth Syst. Sci., 24, 1805–1822, https://doi.org/10.5194/hess-24-1805-2020, 2020.
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Short summary
In September 2024 an exceptional flood hit the Austrian Danube Basin, the largest in parts of Lower Austria since records began. Using weather and river data, we compare this event with historic floods from 1899, 2002 and 2013. The 2024 flood was driven by a slow-moving rainstorm and saturated soils, causing record flows at smaller rivers. The study shows a shift toward more localized, intense floods, highlighting the need for adaptive flood-risk management in a warming climate.
In September 2024 an exceptional flood hit the Austrian Danube Basin, the largest in parts of...
