Global MODIS-based snow cover monthly long-term (2000-2012) at 500 m, and aggregated monthly values (2000-2020) at 1 km

The Global monthly snow cover repository contains multiple products (based on the MODIS/Terra MOD10A2): Global snow cover monthly long-term (2000–2012) P90 and standard deviation derived from the ESA CCI snow cover weekly product; Global snow cover monthly values P05, P50 and P95 for the period 2000–2020 derived using ESA snow cover fraction daily 1-km values; Min and max geometric temperatures for the mid-month (dtm_temp.max_geom.*_m_1km_s0..0cm_xxxx_epsg4326_v1.tif); Quantiles (probability either 0.05, 0.5, 0.9 and/or 0.95) have been derived by matching dates in the filenames (daily or weekly values). After deriving quantiles, gaps were filled using temporal neighbors (e.g. missing values for year 2002 were filled using average of values between year 2001 and 2003). The gaps were especially large for months of November, December, January and February, northern Hemisphere. Important note: maps still contain some artifacts due to high reflections of white-sands e.g. Salar de Uyuni desert in Bolivia and similar. Processing steps are available <strong>here</strong>. Antarctica is not included. To access and visualize global datasets use: <strong>https://openlandmap.org</strong> If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues All files provided as Cloud-Optimized GeoTIFFs / internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: clm = theme: climate, snow.cover = variable: snow cover fractions, esa.modis = data source ESA snow product, p.90 = upper 90% quantile, 1km = spatial resolution / block support: 1 km, s0..0cm = vertical reference: land surface, 2000..2012 = time reference aggregated: from 2000 to 2012, v1 = version number: 1,全球月度积雪覆盖数据集仓库包含多类产品（基于MODIS/Terra MOD10A2）： 1. 基于欧洲空间局气候变化倡议（ESA CCI）积雪覆盖周度产品生成的2000–2012年全球月度积雪覆盖长期序列的P90分位数与标准差数据； 2. 基于欧洲空间局积雪覆盖分数1公里日度数据生成的2000–2020年全球月度积雪覆盖P05、P50及P95分位数数据； 3. 月中时段的最小与最大几何温度数据（文件命名格式为dtm_temp.max_geom.*_m_1km_s0..0cm_xxxx_epsg4326_v1.tif）。 分位数（概率取值为0.05、0.5、0.9及/或0.95）通过匹配文件名中的日期信息（对应日度或周度数据）计算得到。分位数计算完成后，使用时间邻域数据填补缺失值：例如2002年的缺失值通过2001年与2003年的均值进行填补。北半球11月、12月、1月及2月的缺失值尤为严重。 重要提示：由于白沙（例如玻利维亚乌尤尼盐沼）的高反射率影响，地图仍存在部分伪影。完整处理流程可参见<strong>此处</strong>。本数据集未包含南极地区。 可通过<strong>https://openlandmap.org</strong>访问并可视化全球数据集。 若您发现地图存在漏洞、伪影或不一致问题，或有相关疑问，请通过以下渠道反馈： 技术问题与代码相关咨询：https://gitlab.com/openlandmap/global-layers/issues 所有文件均采用云优化地理TIFF（Cloud-Optimized GeoTIFF）格式存储，内部通过GDAL的"COMPRESS=DEFLATE"创建选项进行压缩。 文件命名规则说明： clm = 主题：气候（climate），snow.cover = 变量：积雪覆盖分数，esa.modis = 数据源：欧洲空间局积雪产品，p.90 = 90%上分位数，1km = 空间分辨率/区块支撑：1公里，s0..0cm = 垂直参考：地表，2000..2012 = 时间聚合范围：2000年至2012年，v1 = 版本号：1。