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

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!). <br>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.<br>

本仓库提供的数据集对应De Roda Husman等人2024年发表的题为《南极表面融水物理引导超分辨率降尺度》（DOI待公布！）的原始研究数据。该数据集命名为SUPREME，包含南极全域范围内的表面融水记录（单位：米水当量/年）。其提供的表面融水数据空间分辨率高达5.5千米，时间跨度为2001年至2019年，且以每个融冰年（7月1日至次年6月30日）为统计单位。本研究采用物理引导的超分辨率架构，将区域大气气候模型（Regional Atmospheric Climate Model，RACMO v2.3p2）输出的南极表面融水数据进行降尺度处理。该超分辨率模型整合了源自遥感数据的物理信息，具体为地表反照率与高程数据。