中国典型积雪区超级站积雪特性调查数据集（2017-2020年）

本数据集包含我国典型积雪区的6个超级站2017-2020年3个积雪季的人工观测及自动观测的积雪特性数据集。其中，人工观测数据集包括逐日的积雪深度、密度、积雪粒径、积雪硬度、积雪形态等数据。自动观测包括积雪深度、雪水当量、积雪反照率、液态水含量、积雪密度、风温湿压等要素。6个超级站分别为阿勒泰站、天山雪崩站、甘德站、错那站、黑河站以及东北森林站。其中，每个超级站的自动观测和人工观测分别按年度存放于不同文件夹。其中，逐日人工观测数据存放于一个文件夹，包含环境照片、粒径照片、记录表格以及原始记录表扫描档。自动观测文件夹包含各观测仪器的表格、以及数据分析图。数据集共包含28个文件夹、886个数据表，共974340条记录。数据集命名规则、时间范围及站点经纬度见说明文档。

This dataset contains snow cover characteristic datasets from manual and automatic observations collected during three snow seasons spanning 2017 to 2020 at six super stations in typical snow-covered regions of China. The manual observation dataset includes daily metrics such as snow depth, snow density, snow particle size, snow hardness, and snow morphology. Automatic observations cover core parameters including snow depth, snow water equivalent, snow albedo, liquid water content, snow density, wind speed, air temperature, humidity, and atmospheric pressure. The six participating super stations are Altay Station, Tianshan Avalanche Station, Gande Station, Cuona Station, Heihe Station, and Northeast Forest Station. For each super station, automatic and manual observation datasets are stored in distinct folders categorized by year. The daily manual observation data is housed in a dedicated folder, which contains environmental photos, particle size photos, official record forms, and scanned copies of the original record sheets. The automatic observation folder includes instrument-specific data tables and data analysis figures. In total, the dataset comprises 28 folders, 886 data tables, and 974,340 records. Please refer to the accompanying instruction document for the dataset naming conventions, time scope, and the latitudes and longitudes of each station.

搜集汇总

背景与挑战

背景概述

该数据集包含2017-2020年我国6个典型积雪区超级站的积雪特性数据，涵盖人工观测和自动观测的积雪深度、密度、粒径、硬度等多项指标，数据量达7.20 GB。数据集经过严格的质量控制，包括数据完整性、准确性检查及交叉验证，适用于地理学等相关领域的科学研究。