Data products associated with "Imaging seasonal progression of melt and snowline change across Alaska using SAR reveals impacts of heat waves"

Data for Wells et al. (2025) "Imaging seasonal progression of melt and snowline change across Alaska using SAR reveals impacts of heat waves," Nature Geoscience, in prep.The associated files contain csv files of binned backscatter, melt extent, and snowline time series for 3,023 glaciers in Alaska (99% of glaciers >2 sq. km). Folders are zipped into subsets based on RGI ID. All data can also be easily visualized and downloaded at https://alaskasnowlines.streamlit.app/. Spatially-distributed backscatter animations can similarly be viewed for all named glaciers at https://alaskasnowlines.streamlit.app/ or downloaded on Zenodo (see additional repositories: glaciers A through C, glaciers D through I, glaciers J through N, glaciers O through S, glaciers T through Z)本数据对应Wells等人2025年待刊于《自然·地球科学》（"Nature Geoscience"）的研究《利用合成孔径雷达（Synthetic Aperture Radar, SAR）成像揭示热浪影响：阿拉斯加地区融雪与雪线变化的季节进程》。配套文件包含阿拉斯加3023条冰川（覆盖该区域99%面积大于2平方千米的冰川）的分箱后向散射、融雪范围及雪线时间序列的CSV（逗号分隔值）格式文件。所有文件夹均依据Randolph冰川目录（Randolph Glacier Inventory, RGI）ID进行分卷压缩。所有数据均可通过https://alaskasnowlines.streamlit.app/ 便捷可视化查看与下载。 所有已命名冰川的空间分布式后向散射动画，同样可在https://alaskasnowlines.streamlit.app/ 查看，或在Zenodo平台下载（详见补充仓库：冰川A-C、冰川D-I、冰川J-N、冰川O-S、冰川T-Z）