Published September 6, 2023
| Version 1.0
Dataset
Open
Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution
Authors/Creators
- 1. Deltares, Delft, Netherlands; Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- 2. Tulane University: New Orleans, Louisiana, US
- 3. Deltares, Delft, Netherlands
- 4. Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- 5. Danish Meteorological Institute, Copenhagen, Denmark
- 6. Deltares, Delft, Netherlands; Delft University of Technology, Delft, Netherlands
- 7. Boston College: Chestnut Hill, MA, US
- 8. National Oceanography Centre, Liverpool, UK
- 9. IMEDEA (UIB-CSIC), Esporles, Balearic Islands, Spain
- 10. Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
- 11. Stochastik und Quantitative Methoden der Wirtschaftswissenschaften, University of Siegen, Siegen, Germany
- 12. Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
Description
This Zenodo archive contains essential input datasets utilized in our research study titled "Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution".
This archive contains only input data. The Hourly Coastal water levels with Counterfactual (HCC) dataset is published in the ISIMIP repository.
Datasets Included:
CoDEC (Coastal Dataset for the Evaluation of Climate Impact):
- This dataset is described in Muis et al. (2020)
- cf_esl folder: Contains data representing total CoDEC water levels. Individual NetCDF files store data for each grid point.
- cf_tides folder: This folder holds data related to tidal elevation.
- coor_coastal.nc: A NetCDF file featuring the spatial grid utilized in CoDEC. This dataset comprises only coastal grid points.
- HR (Hybrid Reconstructions):
- HybridRec_Upd0422.mat: This file contains data from the Hybrid Reconstructions dataset (Dangendorf et al 2019), aligned to the CoDEC grid, and includes satellite altimetry integral to producing the Hybrid Reconstructions dataset. Each row corresponds to one grid point on the CoDEC grid. For ease of use in our applications, we offer a preprocessing script in our source code named split_hr_dataset_to_stations.py.
We here provide the specific versions of HR and CoDEC that are used in our study to ensure accurate replication.
Notes
This research has received funding from the German Federal Ministry Ministry of Education and Research (BMBF) under
the research projects QUIDIC (01LP1907A) and ISIAccess (16QK05), the European Union's Horizon 2020 research and
innovation programme under agreement No 820712grant, and is based upon work from COST Action CA19139
PROCLIAS (PROcess-based models for CLimate Impact Attribution across Sectors), supported by COST (European
Cooperation in Science and Technology; https://www.cost.eu). S.D. acknowledges support by NASA's Sea Level Change Team (award number 80NSSC20K1241) and David and Jane
Flowerree for their endowment
Files
CoDEC.zip
Additional details
Related works
- Is described by
- Journal article: 10.1038/s41558-019-0531-8 (DOI)
- Journal article: 10.3389/fmars.2020.00263 (DOI)
- Is published in
- Preprint: 10.5194/essd-2023-112 (DOI)
- Is required by
- Software: 10.5281/zenodo.7771501 (DOI)
- Dataset: 10.48364/ISIMIP.749905 (DOI)
References
- Dangendorf, S., Hay, C., Calafat, F. M., Marcos, M., Piecuch, C. G., Berk, K., and Jensen, J.: Persistent acceleration in global sea-level rise since the 1960s, Nat. Clim. Chang., 9, 705–710, 2019.
- Muis, S., Apecechea, M. I., Dullaart, J., de Lima Rego, J., Madsen, K. S., Su, J., Yan, K., and Verlaan, M.: A HighResolution Global Dataset of Extreme Sea Levels, Tides, and Storm Surges, Including Future Projections, Frontiers in Marine Science, 7, 263, 2020.