Data underlying the publication: Physically-informed super-resolution downscaling of Antarctic surface melt

doi:10.4121/87607637-09d9-4147-8125-c85eec901a88.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: 10.4121/87607637-09d9-4147-8125-c85eec901a88
Datacite citation style:
de Roda Husman, Sophie; Hu, Zhongyang; van Tiggelen, Maurice; Dell, Rebecca; Bolibar, Jordi et. al. (2024): Data underlying the publication: Physically-informed super-resolution downscaling of Antarctic surface melt. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/87607637-09d9-4147-8125-c85eec901a88.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The dataset provided in this repository corresponds to the original data used in the publication by De Roda Husman et al. (2024) titled "Physically-informed super-resolution downscaling of Antarctic surface melt" (DOI to be announced!). 


The dataset, named SUPREME, contains a record of surface melt (in meters water equivalent per year) on an Antarctic-wide scale. It offers surface melt data at a high spatial resolution of 5.5 kilometers for each melt year (1 July - 30 June), covering the period from 2001 to 2019. Our method downscales Antarctic surface melt from the regional climate model Regional Atmospheric Climate Model (RACMO, v2.3p2), employing a physically-informed super-resolution architecture. The super-resolution model integrates physical information derived from remote sensing data, specifically surface albedo and elevation.


history
  • 2024-07-10 first online, published, posted
publisher
4TU.ResearchData
format
GeoTIFF
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Geoscience & Remote Sensing

DATA

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