Hourly Coastal water levels with Counterfactual (HCC)

Cite as

Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, Matthias Mengel (2025): Hourly Coastal water levels with Counterfactual (HCC). ISIMIP Repository. https://doi.org/10.48364/ISIMIP.749905.1

Metadata

DOI:
https://doi.org/10.48364/ISIMIP.749905.1
Title:
Hourly Coastal water levels with Counterfactual (HCC)
Version:
1.1
Creators:
Contact person:

For inquiries concerning this dataset, please contact info@isimip.org.

Abstract:

The Hourly Coastal water levels with Counterfactual (HCC) dataset provides coastal water levels to be used as input data for ISIMIP3a (www.isimip.org, Frieler et al. 2023).

The dataset describes relative and geocentric historical coastal water levels, utilizing data from several specialized sources. It incorporates reconstructed water level data from the Hybrid Reconstructions (HR) dataset by Dangendorf et al. (2019), which describes the long-term evolution of historical water levels. Vertical land motion information is provided by Oelsmann et al. (2023), adding crucial details about changes in land elevation. The dataset also integrates a reanalysis of hourly variations in water levels caused by wind, air pressure, and astronomical tides, as detailed in the Coastal Dataset for the Evaluation of Climate Impact (CoDEC) by Muis et al. (2020).

A counterfactual scenario is derived by removing the quadratic trend observed in sea levels from 1900 to 2015. This results in a hypothetical condition where the sea level has been stationary since 1900.

When referring to the HCC dataset, the paper Treu et al. (2023) https://doi.org/10.5194/essd-2023-112 should be cited.

Version 1.1 resolves a two issues with the dataset (see #55 for the details.

Publication date:
Feb. 19, 2025
Publisher:
ISIMIP Repository
Contributors:

Here we list the persons and organizations, who are responsible for the collection, the management, and the publication of this dataset.

Rights

CC0 1.0 Universal Public Domain Dedication
CC0 1.0 Universal Public Domain Dedication (CC0 1.0)
When using ISIMIP data for your research, please appropriately credit the data providers, e.g. either by citing the DOI for the dataset, or by appropriate acknowledgment. We strongly encourage to offer co-authorship to at least a representative of the data providers. Further information can be found in our terms of use.

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References

  • Dangendorf, S., Hay, C., Calafat, F.M. et al. Persistent acceleration in global sea-level rise since the 1960s. Nat. Clim. Chang. 9, 705–710 (2019). https://doi.org/10.1038/s41558-019-0531-8
  • Frieler, K., Volkholz, J., Lange, S., Schewe, J., Mengel, M., Rivas López, M. R., Otto, C., Reyer, C. P. O., Karger, D. N., Malle, J. T., Treu, S., Menz, C., Blanchard, J. L., Harrison, C. S., Petrik, C. M., Eddy, T. D., Ortega-Cisneros, K., Novaglio, C., Rousseau, Y., Watson, R. A., Stock, C., Liu, X., Heneghan, R., Tittensor, D., Maury, O., Büchner, M., Vogt, T., Wang, T., Sun, F., Sauer, I. J., Koch, J., Vanderkelen, I., Jägermeyr, J., Müller, C., Klar, J., Vega del Valle, I. D., Lasslop, G., Chadburn, S., Burke, E., Gallego-Sala, A., Smith, N., Chang, J., Hantson, S., Burton, C., Gädeke, A., Li, F., Gosling, S. N., Müller Schmied, H., Hattermann, F., Wang, J., Yao, F., Hickler, T., Marcé, R., Pierson, D., Thiery, W., Mercado-Bettín, D., Forrest, M., and Bechtold, M.: Scenario set-up and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3a), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-281, 2023.
  • Julius Oelsmann, Marta Marcos, Marcello Passaro, Laura Sanchez, Denise Dettmering, Sönke Dangendorf, & Florian Seitz. (2023). Data supplement to 'Vertical land motion reconstruction unveils non-linear effects on relative sea level changes from 1900-2150' (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8308347
  • Muis S, Irazoqui Apecechea M, Dullaart J, de Lima Rego J, Madsen KS, Su J, Yan K and Verlaan M (2020) A High-Resolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections. Front. Mar. Sci. 7:263. https://doi.org/10.3389/fmars.2020.00263
  • Treu, S., Muis, S., Dangendorf, S., Wahl, T., Oelsmann, J., Heinicke, S., Frieler, K., and Mengel, M.: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-112, in review, 2023.

Additional documentation

This DOI is a new version of

  • Treu, Simon; Muis, Sanne; Dangendorf, Sönke; Wahl, Thomas; Oelsmann, Julius; Heinicke, Stefanie; Frieler, Katja; Mengel, Matthias (2023): Hourly Coastal water levels with Counterfactuals (HCC). Version 1.0. ISIMIP Repository. (Dataset). https://doi.org/10.48364/ISIMIP.749905.

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