Supporting Data for The Effect Of Wind Stress On Seasonal Sea-Level Change On the Northwestern European Shelf

doi: 10.4121/16831918.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/16831918
Datacite citation style:
Hermans, Tim; Katsman, C.A. (Caroline); Machado Lima de Camargo, Carolina; Garner, Gregory; Kopp, Robert et. al. (2021): Supporting Data for The Effect Of Wind Stress On Seasonal Sea-Level Change On the Northwestern European Shelf. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16831918.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
usage stats
1234
views
127
downloads
geolocation
Northwestern European Shelf
time coverage
1850-2100
licence
cc-0.png logo CC0
This dataset accompanies the manuscript The Effect Of Wind Stress On Seasonal Sea-Level Change On the Northwestern European Shelf by Hermans et al. (2021), currently under review for Journal of Climate.

The dataset contains the processed CMIP6 data and the ROMS output underlying the figures of the manuscript. The CMIP6 data consists of the multi-model ensemble simulations of wind stress and dynamic sea level in the NWES region, and of the changes in wind-stress and sea-level anomalies for a subset of CMIP6 models. The ROMS output consists of the results of the model experiments described in the manuscript.
history
  • 2021-11-11 first online, published, posted
publisher
4TU.ResearchData
format
NetCDF & plain text
organizations
NIOZ Royal Netherlands Institute for Sea Research, Estuarine & Delta Systems;
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing & Department of Hydraulic Engineering;
Rutgers University, Department of Earth and Planetary Sciences & Rutgers Institute of Earth, Ocean and Atmospheric Sciences

DATA

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