Climate and glacier data

Above data and analysis codes include: 1) AnalysisData_Climate.m: Analysis code for climate experiments. Use Matlab to open and run this file. Note: some pathways in this code file are absolute pathways and should be changed, otherwise errors will be reported. 2) AnalysisData_Glacier.m: Analysis code for glacier simulations. Use Matlab to open and run this file. Results of the analysis part have been stored at Glacier_difference.mat. Note: some pathways in this code file are absolute pathways and should be changed, otherwise errors will be reported. 3) Basedata.mat: Store the base dataset used for the analysis in AnalysisData_Climate.m. 4) Climate_difference.mat: All the variables in this mat are derived from the climate experiments. GlobalX means the annual mean results, SummerX means the boreal summer results. The size of these variables: longitude*latitude*(atmospheric layer)*3 (CTL results, SCE results, significant). This data is used for AnalysisData_Climate.m. 5) Glacier_difference,mat: The meaning of each variables in this data is list in AnalysisData_Glacier.m. This data is used for AnalysisData_Glacier.m. 6) AnalysisData.zip: store the 99-year simulation results of some variables used in the AnalysisData_Climate.m. 7) Wilcoxon.m: Judge whether the difference is significant ( non-parametric Wilcoxon signed-rank test). 8) TPPolygon.shp: the shp file of the Tibetan Plateau. 9) brewermap.m: generate the colormap of each figure. 10) 00_rgi60_regions_xxx: shp file of the 13 (or 15) second-order regions over the Tibetan Plateau and its surrounding regions (Pfeffer et al., 2014; RGI Consortium et al., 2017). 11) draw_radar2.m: this file is used to draw figure 2(b). 12) p50_degree_glacier_volume_km3.tif: This tif is provided by Farinotti et al., 2019. 13) suppl_GlacierMIP_results.nc: this nc file is provided by Marzeion et al., 2020

本次提供的数据与分析代码包含以下内容：
1. AnalysisData_Climate.m：气候实验分析代码。需使用MATLAB打开并运行该文件。注意：该代码文件内部分路径为绝对路径，需修改后方可运行，否则将触发报错。
2. AnalysisData_Glacier.m：冰川模拟分析代码。需使用MATLAB打开并运行该文件。分析模块的结果已存储至Glacier_difference.mat中。注意：该代码文件内部分路径为绝对路径，需修改后方可运行，否则将触发报错。
3. Basedata.mat：存储AnalysisData_Climate.m分析流程所需的基础数据集。
4. Climate_difference.mat：该MATLAB数据文件内的所有变量均源自气候实验。其中GlobalX代表年平均结果，SummerX代表北半球夏季结果。此类变量的维度均为经度×纬度×大气层数×3，依次对应对照组（CTL）结果、敏感性实验组（SCE）结果与显著性检验结果。该数据用于AnalysisData_Climate.m的分析流程。
5. Glacier_difference.mat：该数据集中各变量的含义详见AnalysisData_Glacier.m。该数据用于AnalysisData_Glacier.m的分析流程。
6. AnalysisData.zip：存储AnalysisData_Climate.m所用部分变量的99年模拟结果。
7. Wilcoxon.m：用于判别差异显著性的非参数威尔科克森符号秩检验代码。
8. TPPolygon.shp：青藏高原的形状文件（SHP）。
9. brewermap.m：用于生成各类绘图配色映射表的代码文件。
10. 00_rgi60_regions_xxx：青藏高原及其周边区域的13（或15）个二阶区域的形状文件（SHP）（Pfeffer等，2014；RGI联盟等，2017）。
11. draw_radar2.m：用于绘制图2(b)的代码文件。
12. p50_degree_glacier_volume_km3.tif：该TIFF数据由Farinotti等（2019）提供。
13. suppl_GlacierMIP_results.nc：该NETCDF（.nc）数据文件由Marzeion等（2020）提供。