TY - DATA
T1 - Data underlying the publication: Physically-informed super-resolution downscaling of Antarctic surface melt
PY - 2024/07/10
AU - Sophie de Roda Husman
AU - Zhongyang Hu
AU - Maurice van Tiggelen
AU - Rebecca Dell
AU - Jordi Bolibar
AU - Stef Lhermitte
AU - Bert Wouters
AU - Peter Kuipers Munneke
UR - 
DO - 10.4121/87607637-09d9-4147-8125-c85eec901a88.v1
KW - Antarctica
KW - Surface melt
KW - Deep learning
KW - Super-resolution
KW - Downscaling
KW - High-resolution
KW - Ice shelves
KW - Physically-informed
N2 - <p>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!).&nbsp;</p><p><br></p><p>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.</p><p><br></p>
ER -