%0 Dataset
%T Electronic map data set of temporal and spatial distribution of snow cover characteristics in China
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/0d7fe67d-25a5-48e1-ab62-b07b6956db29
%W NCDC
%R 10.12072/ncdc.I-SNOW.db0022.2021
%A None
%A None
%A None
%A Wangjian
%K Snow density;monthly average;standard deviation;snow days;first snow day;whole snow day;multi-year average;change rate;snow depth;snow water equivalent;snow albedo
%X <pre><code>                    <pre><code>                    <pre><code>                                            <pre><code>Based on the ground and remote sensing survey data and the achievement data of snow type division, this data set compiles a series of maps of snow types in China, including snow density (2017-2020), snow days (1980-2020), snow depth / snow water equivalent (1980-2020) and snow albedo (2000-2020).All maps are based on the digital topographic map of 1:1 million / 1:500000, and the climate zoning map or land use / cover map of China is superimposed as the background layer as required. Design classification and cartographic symbol representation methods, and prepare a series of maps of China's snow types of 1:1 million (snow density, snow depth / snow water equivalent) / 1:500000 (snow days, snow albedo).The data set adopts the hierarchical method of layered color setting to quantitatively express the temporal and spatial distribution characteristics of snow thematic elements. The stratification takes the characteristics of snow elements and statistical histogram as the standard and the maximum amount of mapping information as the principle; For better expression, the design snow density is purple, the number of snow days is green, the snow depth / snow water equivalent is blue, and the snow albedo is red.The data set takes CGCS2000 as the coordinate system, adopts positive axis isometric conic projection, and draws the national boundary with reference to the standard map published by the national surveying and mapping geographic information department (drawing review No.: GS (2019) No. 1815)