Data underlying the paper: Uncertainty Estimation in Regional Models of Long-Term GIA Uplift and Sea-level Change: An Overview.

Datacite citation style:
Karen Simon; Riva, Riccardo (2020): Data underlying the paper: Uncertainty Estimation in Regional Models of Long-Term GIA Uplift and Sea-level Change: An Overview. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:4a2d976e-5ecb-40f0-a685-9c24c1e8341f
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Dataset
Delft University of Technology logo
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categories
geolocation
Scandinavia and northern Europe, North America
time coverage
present-day
licence
cc-0.png logo CC0
Uncertainty values of vertical land motion for various combinations of GIA model and uncertainty generation method. Values are used in Figures 3 and 4 of the paper: Simon, K.M., and Riva, R.E.M. (2020). Uncertainty Estimation in Regional Models of Long-Term GIA Uplift and Sea-level Change: An Overview. Journal of Geophysical Research: Solid Earth.
history
  • 2020-06-22 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.google-earth.kml+xml, application/zip, text/plain
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing

DATA

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