Articles | Volume 17, issue 1
https://doi.org/10.5194/essd-17-293-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-293-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
30 Jan 2025
Data description article |
| 30 Jan 2025
| 30 Jan 2025
HERA: a high-resolution pan-European hydrological reanalysis (1951–2020)
European Commission, Joint Research Centre (JRC), Ispra, Italy
Dominik Paprotny
Transformation Pathways Department, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
Stefania Grimaldi
European Commission, Joint Research Centre (JRC), Ispra, Italy
Goncalo Gomes
European Commission, Joint Research Centre (JRC), Ispra, Italy
Alessandra Bianchi
European Commission, Joint Research Centre (JRC), Ispra, Italy
Stefan Lange
Transformation Pathways Department, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany
Hylke Beck
Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Cinzia Mazzetti
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Luc Feyen
European Commission, Joint Research Centre (JRC), Ispra, Italy
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Cited
13 citations as recorded by crossref.
- Attribution of flood impacts shows strong benefits of adaptation in Europe since 1950 D. Paprotny et al. https://doi.org/10.1126/sciadv.adt7068
- Enhancing flood impact assessment accuracy: A comparison of IRIO-Flood predictions using HAZUS- and insurance claims-based business interruption estimates J. Di Noia et al. https://doi.org/10.1016/j.ecolecon.2026.109205
- Optimized afforestation reduces flood risk and limits water loss in Europe S. El Garroussi et al. https://doi.org/10.1038/s44458-026-00057-3
- Method of Discharge Data Assimilation into the ECOMAG Model Based on the Inverse Stream Routing Approach A. Bugaets et al. https://doi.org/10.1134/S0097807824607088
- CLIMB: Framework for CLIMate data bias-adjustment and downscaling J. Śledziowski et al. https://doi.org/10.1016/j.softx.2025.102479
- Machine Learning for Flood Resiliency—Current Status and Unexplored Directions V. Uddameri & E. Hernandez https://doi.org/10.3390/environments12080259
- Compounding hazards increase flood economic losses across Europe M. Ronco et al. https://doi.org/10.1038/s41467-026-73248-0
- Transformed-stationary EVA 2.0: a generalized framework for non-stationary multivariate extremes analysis M. Bahmanpour et al. https://doi.org/10.5194/hess-30-2301-2026
- Augmenting observation network design and assimilation frequency in distributed hydrological models: insights from the LISFLOOD-based hydrological data assimilation framework K. Kurugama et al. https://doi.org/10.1016/j.jhydrol.2025.134853
- Prediction of Extreme Events in the Amazon under the Influence of Climate and LULC Change J. Silva Cruz et al. https://doi.org/10.1007/s40710-025-00805-y
- Increasing frequency and intensity of single, multiple and concurrent meteorological hazards in Europe from a high-resolution dataset (1961–2020) A. Dosio et al. https://doi.org/10.1088/2752-5295/ae1ce0
- More intense heatwaves under drier conditions: a compound event analysis in the Adige River basin (Eastern Italian Alps) M. Lemus-Canovas et al. https://doi.org/10.5194/hess-29-6781-2025
- Assessing financial risk to property portfolios from physical rainfall extremes L. Dawkins et al. https://doi.org/10.5194/nhess-26-4071-2026
13 citations as recorded by crossref.
- Attribution of flood impacts shows strong benefits of adaptation in Europe since 1950 D. Paprotny et al. https://doi.org/10.1126/sciadv.adt7068
- Enhancing flood impact assessment accuracy: A comparison of IRIO-Flood predictions using HAZUS- and insurance claims-based business interruption estimates J. Di Noia et al. https://doi.org/10.1016/j.ecolecon.2026.109205
- Optimized afforestation reduces flood risk and limits water loss in Europe S. El Garroussi et al. https://doi.org/10.1038/s44458-026-00057-3
- Method of Discharge Data Assimilation into the ECOMAG Model Based on the Inverse Stream Routing Approach A. Bugaets et al. https://doi.org/10.1134/S0097807824607088
- CLIMB: Framework for CLIMate data bias-adjustment and downscaling J. Śledziowski et al. https://doi.org/10.1016/j.softx.2025.102479
- Machine Learning for Flood Resiliency—Current Status and Unexplored Directions V. Uddameri & E. Hernandez https://doi.org/10.3390/environments12080259
- Compounding hazards increase flood economic losses across Europe M. Ronco et al. https://doi.org/10.1038/s41467-026-73248-0
- Transformed-stationary EVA 2.0: a generalized framework for non-stationary multivariate extremes analysis M. Bahmanpour et al. https://doi.org/10.5194/hess-30-2301-2026
- Augmenting observation network design and assimilation frequency in distributed hydrological models: insights from the LISFLOOD-based hydrological data assimilation framework K. Kurugama et al. https://doi.org/10.1016/j.jhydrol.2025.134853
- Prediction of Extreme Events in the Amazon under the Influence of Climate and LULC Change J. Silva Cruz et al. https://doi.org/10.1007/s40710-025-00805-y
- Increasing frequency and intensity of single, multiple and concurrent meteorological hazards in Europe from a high-resolution dataset (1961–2020) A. Dosio et al. https://doi.org/10.1088/2752-5295/ae1ce0
- More intense heatwaves under drier conditions: a compound event analysis in the Adige River basin (Eastern Italian Alps) M. Lemus-Canovas et al. https://doi.org/10.5194/hess-29-6781-2025
- Assessing financial risk to property portfolios from physical rainfall extremes L. Dawkins et al. https://doi.org/10.5194/nhess-26-4071-2026
Saved (final revised paper)
Latest update: 23 Oct 2026
Short summary
This article presents a reanalysis of Europe's river streamflow for the period 1951–2020. Streamflow is estimated through a state-of-the-art hydrological simulation framework benefitting from detailed information about the landscape, climate, and human activities. The resulting Hydrological European ReAnalysis (HERA) can be a valuable tool for studying hydrological dynamics, including the impacts of climate change and human activities on European water resources and flood and drought risks.
This article presents a reanalysis of Europe's river streamflow for the period 1951–2020....
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