Supporting data for "Damage development on Antarctic ice shelves sensitive to climate warming"

DOI:10.4121/911e8799-f0dc-42e3-82b4-766ad680a71e.v2
The DOI displayed 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: 10.4121/911e8799-f0dc-42e3-82b4-766ad680a71e

Datacite citation style

Izeboud, Maaike; Stef Lhermitte; Wouters, Bert; de Roda Husman, Sophie (2025): Supporting data for "Damage development on Antarctic ice shelves sensitive to climate warming". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/911e8799-f0dc-42e3-82b4-766ad680a71e.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-10-01 (latest)
Version 1 - 2025-07-29
Delft University of Technology logo

Geolocation

Antarctic Ice Shelves
lat (N): -75
lon (E): -180 to 180

Time coverage

1997, 2000, 2015-2021

Licence

CC BY 4.0

Interoperability

This repository contains supporting data for the article "Damage development on Antarctic ice shelves sensitive to climate warming" by M. Izeboud, S.Lhermitte, S. de Roda Husman and B.Wouters, in review in Nature Climate Change, 2025.


This repository is meant to help transparency and reproducibility. Included in this repository are (as discussed in the manuscript): (i) a list of all individually processed relative orbits of Sentinel-1 data to generate annual damage maps, (ii) annual ice shelf polygons used to clip the damage maps, (iii) aggregated damage values per ice shelf for all assessed years (1997, 2000; 2015-2021), (iv) the trained Random Forest model that was used to produce damage projections and (v) the projected damage values as presented in the article, obtained from the trained Random Forest regression model applied to ice sheet model data from models participating in the ISMIP-6 project (Seroussi et al, 2020)


Code used to process and analyse the data as discussed in the article, are provided on github.com/mizeboud/antarctic-damage-change/. The full dataset of annual Antarctic damage maps can be found at the other, linked, 4TU data repository.


More details are included in the README



History

  • 2025-07-29 first online
  • 2025-10-01 published, posted

Publisher

4TU.ResearchData

Format

netcdf; geotiff; pdf;

Funding

  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek, ALWGO.2018.043

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience and Remote Sensing

DATA

Files (33)