High-Resolution Repeat Topography of Drifting Ice Floes in the Arctic Ocean from Terrestrial Laser Scanning Collected on the Multidisciplinary drifting Observatory for the Study of Arctic Climate Expedition

Data are available for download at: https://arcticdata.io/data/10.18739/A20863712/ Many processes involving the fluxes of mass, energy, and momentum in Arctic sea ice impact and are impacted by the snow and ice topography. We conducted 42 days of measuring the snow and ice topography on approximately a 0.5 km squared drifting parcel of Arctic sea ice from 18 October 2019 to 9 May 2020 via Terrestrial Laser Scanning (TLS) on the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. We have aligned the TLS data into an ice-fixed, lagrangian reference frame such that topographic changes (e.g. snow accumulation) can be observed on some ice floes for time periods up to six months. Using in-situ measurements, we have validated the vertical accuracy of the alignment to within a 95% confidence interval of plus or minus 0.011 m. These data can be used to investigate snow accumulation and redistribution, ice dynamics, surface roughness, and they can provide invaluable context for many other co-located measurements. These measurements were made as part of the snow and ice team work at MOSAiC. For an overview of all snow and ice team work please see: https://doi.org/10.1525/elementa.2021.000046. Additionally, a data descriptor paper providing additional details, figures, and tables related to this dataset will be published following publication of this dataset. This dataset supersedes https://doi.org/10.18739/A25717P9Q, https://doi.org/10.18739/A2901ZH4K, https://doi.org/10.18739/A2DR2P98D, and https://arcticdata.io/data/10.18739/A2GH9BB4N/. This dataset contains all information in those prior datasets and has superior alignment quality. These data are stored within a directory tree (see Methods section below). The following wget command will download the entire data archive, which is 350 GB: wget -r -np -nH --cut-dirs=3 -R '\?C=' -R robots.txt -R 'index.html*' https://arcticdata.io/data/10.18739/A20863712/ To download just a subdirectory (e.g., the 'Snow1' scan area, or an individual project): go to https://arcticdata.io/data/10.18739/A20863712/, navigate to the desired subdirectory, and replace the url in the wget command with the url of the desired subdirectory. A processing library ('pydar') for working with these data is available at: https://zenodo.org/records/10152870

数据可通过以下链接下载：https://arcticdata.io/data/10.18739/A20863712/
北极海冰中涉及质量、能量与动量通量的诸多过程，既会对积雪与冰面地形产生影响，同时也受积雪及冰面地形的调控。2019年10月18日至2020年5月9日期间，我们在北极海冰一块约0.5平方千米的漂流浮冰单元上，开展了为期42天的积雪与冰面地形测量工作，本次测量依托北极气候多学科漂流观测科考队（Multidisciplinary drifting Observatory for the Study of Arctic Climate, MOSAiC）的地面激光扫描（Terrestrial Laser Scanning, TLS）技术完成。
我们已将地面激光扫描数据对齐至冰面固定的拉格朗日参考框架（Lagrangian reference frame），使得可在部分浮冰上观测长达六个月的地形变化（如积雪积累量）。通过原位实测，我们将该数据对齐流程的垂直精度验证至95%置信区间为±0.011米的水平。
本数据集可用于研究积雪积累与再分布、冰动力学及表面粗糙度特征，同时可为诸多其他同点位测量工作提供极具价值的背景参考数据。
本次测量工作为MOSAiC科考队积雪与冰面研究团队的任务内容之一。如需了解该团队所有研究工作的概况，请参阅：https://doi.org/10.1525/elementa.2021.000046。
此外，一篇详细阐述本数据集的数据描述性论文，将在本数据集正式发布后刊出，文中将包含更多细节、图表及表格。
本数据集取代了此前发布的https://doi.org/10.18739/A25717P9Q、https://doi.org/10.18739/A2901ZH4K、https://doi.org/10.18739/A2DR2P98D及https://arcticdata.io/data/10.18739/A2GH9BB4N/。本数据集包含上述前期数据集的全部信息，且具备更优异的对齐质量。
本数据集以目录树结构存储（详见下文方法部分）。以下wget命令可下载完整的数据归档文件，总大小为350 GB：
wget -r -np -nH --cut-dirs=3 -R '?C=' -R robots.txt -R 'index.html*' https://arcticdata.io/data/10.18739/A20863712/
若仅需下载单个子目录（如'Snow1'扫描区域或某单一项目），请访问https://arcticdata.io/data/10.18739/A20863712/，导航至目标子目录后，将wget命令中的链接替换为该子目录的对应网址即可。
用于处理本数据集的工具库'pydar'可通过以下链接获取：https://zenodo.org/records/10152870