SnowEx20 Grand Mesa IOP Computed Tomography Snow Microstructure, Version 1

This data set characterizes snow microstructure for 6 snow pits from the SnowEx 2020 Grand Mesa Intensive Observation Period (February 2020) using microcomputed tomography (micro-CT). Included with this data set are two- and three-dimensional microstructural analysis of DMP/DEP casted and un-casted snow samples, available as .xlsx and .txt file, and visual representations of the three-dimensional snow structure, available is .bmp image files. Containers of snow were collected at 6 snow pits in approximately 17 cm intervals. There were approximately 5-8 discrete containers per pit and each container had an ~2 cm overlap with the sample below. A 6-cm section of snow was dissected from each container of snow, which were analyzed in ~2 cm sub-sections. Each sub-section was scanned in three intervals using a micro-CT instrument. The three interval scans comprise multiple slices, and were combined into the reconstructed final scan used for calculating the snow microstructural data.本数据集依托显微计算机断层扫描（microcomputed tomography, micro-CT）技术，对雪实验（SnowEx）2020年格兰德梅萨密集观测期（2020年2月）内的6个雪坑的积雪微观结构进行表征。本数据集附带DMP/DEP铸型及非铸型积雪样品的二维与三维微观结构分析结果，以.xlsx和.txt格式文件提供；同时包含积雪三维结构的可视化效果图，格式为.bmp图像文件。研究人员以约17厘米的间隔在6个雪坑中采集积雪样品容器，每个雪坑约设有5-8个独立样品容器，且每个容器与下方的样品存在约2厘米的重叠区域。从每个积雪样品容器中截取6厘米的积雪段，再将该积雪段分割为约2厘米的子段开展分析；每个子段通过micro-CT设备进行三次间隔扫描，三次扫描获得多幅断层切片，经拼接后得到最终重建扫描结果，用于计算积雪微观结构数据。