Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-1121-2024
© Author(s) 2024. 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-16-1121-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
27 Feb 2024
Data description article |
| 27 Feb 2024
| 27 Feb 2024
Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Sanne Muis
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Deltares, Delft, the Netherlands
Sönke Dangendorf
Department of River-Coastal Science and Engineering, Tulane University, New Orleans, LA, USA
Thomas Wahl
Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL, USA
National Center for Integrated Coastal Research, University of Central Florida, Orlando, FL, USA
Julius Oelsmann
Deutsches Geodätisches Forschungsinstitut der Technischen Universität München, Arcisstraße 21, 80333 Munich, Germany
Stefanie Heinicke
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Katja Frieler
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Matthias Mengel
Transformation Pathways, Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
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Cited
13 citations as recorded by crossref.
- Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones T. Vogt et al. https://doi.org/10.1038/s43247-024-01707-x
- Sea level trajectories and recent records at Australian tide gauges B. Hague et al. https://doi.org/10.1071/ES24039
- Assessing extreme total water levels across Europe for large-scale coastal flood analysis C. Cotrim et al. https://doi.org/10.5194/nhess-26-1935-2026
- Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II) K. Frieler et al. https://doi.org/10.5194/gmd-19-4095-2026
- A Counterfactual Analysis of Environmental Policy Pathways Using Scenario Recombination Techniques D. Green et al. https://doi.org/10.51847/uHOcjV6TuG
- Results of forecasting hydrometeorological fields for the White Sea using the atmosphere – ocean – ice system N. Butakov et al. https://doi.org/10.30758/0555-2648-2025-71-4-378-395
- Pan-European assessment of coastal flood hazards C. Cotrim et al. https://doi.org/10.5194/nhess-26-1859-2026
- Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020 D. Paprotny et al. https://doi.org/10.5194/hess-28-3983-2024
- Attribution of flood impacts shows strong benefits of adaptation in Europe since 1950 D. Paprotny et al. https://doi.org/10.1126/sciadv.adt7068
- Reconstructing sea level rise from global 945 tide gauges since 1900 D. Mu et al. https://doi.org/10.5194/essd-17-5507-2025
- The magnitude of climate change-induced migration: an overview of projections and a case for attribution J. Schewe & R. Beyer https://doi.org/10.3389/fclim.2025.1570995
- Climate and impact attribution of compound flooding induced by tropical cyclone Idai in Mozambique D. Vertegaal et al. https://doi.org/10.5194/nhess-26-1417-2026
- Probabilistic reconstruction of sea-level changes and their causes since 1900 S. Dangendorf et al. https://doi.org/10.5194/essd-16-3471-2024
13 citations as recorded by crossref.
- Modeling surge dynamics improves coastal flood estimates in a global set of tropical cyclones T. Vogt et al. https://doi.org/10.1038/s43247-024-01707-x
- Sea level trajectories and recent records at Australian tide gauges B. Hague et al. https://doi.org/10.1071/ES24039
- Assessing extreme total water levels across Europe for large-scale coastal flood analysis C. Cotrim et al. https://doi.org/10.5194/nhess-26-1935-2026
- Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II) K. Frieler et al. https://doi.org/10.5194/gmd-19-4095-2026
- A Counterfactual Analysis of Environmental Policy Pathways Using Scenario Recombination Techniques D. Green et al. https://doi.org/10.51847/uHOcjV6TuG
- Results of forecasting hydrometeorological fields for the White Sea using the atmosphere – ocean – ice system N. Butakov et al. https://doi.org/10.30758/0555-2648-2025-71-4-378-395
- Pan-European assessment of coastal flood hazards C. Cotrim et al. https://doi.org/10.5194/nhess-26-1859-2026
- Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020 D. Paprotny et al. https://doi.org/10.5194/hess-28-3983-2024
- Attribution of flood impacts shows strong benefits of adaptation in Europe since 1950 D. Paprotny et al. https://doi.org/10.1126/sciadv.adt7068
- Reconstructing sea level rise from global 945 tide gauges since 1900 D. Mu et al. https://doi.org/10.5194/essd-17-5507-2025
- The magnitude of climate change-induced migration: an overview of projections and a case for attribution J. Schewe & R. Beyer https://doi.org/10.3389/fclim.2025.1570995
- Climate and impact attribution of compound flooding induced by tropical cyclone Idai in Mozambique D. Vertegaal et al. https://doi.org/10.5194/nhess-26-1417-2026
- Probabilistic reconstruction of sea-level changes and their causes since 1900 S. Dangendorf et al. https://doi.org/10.5194/essd-16-3471-2024
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
This article describes a reconstruction of monthly coastal water levels from 1900–2015 and...
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