This dataset contains long-term monthly products for snow cover probability, derived from DLR Global SnowPack and ESA CCI MODIS Terra snow cover data. The ensemble product combines long-term monthly statistics from both input products. For areas north of 30°N, the DLR and ESA CCI products were merged using equal weights. For areas south of 30°N, the DLR product was given a 10 times smaller weight. Dataset contents The archive includes long-term monthly ensemble layers for each calendar month from January to December. The available statistics are: p05 p50 p95 All products are stored as Byte GeoTIFFs: 0–100 = snow cover probability in percent 255 = NoData The products are provided at 500 m spatial resolution and follow the source grid used in the processing workflow. Data sources The DLR Global SnowPack data were downloaded from: https://download.geoservice.dlr.de/GSP/files/daily/ The ESA CCI snow cover data were downloaded from: https://data.ceda.ac.uk/neodc/esacci/snow/data/scfg/MODIS/v4.0 The ESA CCI product is a daily MODIS Terra snow cover product at 1 km spatial resolution. It was resampled to 500 m to match the DLR Global SnowPack product. Processing summary First, monthly snow cover products were prepared separately for DLR Global SnowPack and ESA CCI. For the DLR product, snow-covered pixels were selected using the original source encoding: snow-covered pixels: values >= 64 valid snow-free land: bit 32 NoData, invalid, water and non-land pixels were excluded from the monthly denominator. For the ESA CCI product, monthly snow cover statistics were calculated from daily snow cover probability values. A 10% snow threshold was used to identify valid snowy days, following the same general approach used for the DLR SnowPack processing. For both products, long-term monthly statistics were calculated for each calendar month: p05 (0.05% quantile), p50 (median), p95 (0.95% quantile), The two products were then merged into an average ensemble product. Ensemble weighting The ensemble product uses different weights by latitude: north of 30°N: equal weights for DLR and ESA CCI south of 30°N: the DLR product receives a 10 times smaller weight This weighting was used to reduce the influence of DLR Global SnowPack in lower-latitude areas. Data encoding All ensemble products are stored as Byte GeoTIFFs: 0–100 = snow cover probability in percent 255 = NoData Spatial and temporal coverage Spatial coverage: global land areas covered by the input productsSpatial resolution: 500 mCoordinate reference system: EPSG:4326Temporal coverage: 2000–2025Temporal summary: long-term monthly statistics for January to December File naming The products follow the OGH-style naming convention. Example: snowcover_cci.dlr.average.jan_p50_500m_s_20000101_20251231_go_epsg.4326_v20260605.tif where: snowcover = variable name cci.dlr.average.jan = ESA CCI and DLR average product for January p50 = statistic 500m = spatial support s = surface 20000101_20251231 = temporal range go = global extent epsg.4326 = coordinate reference system v20260605 = processing version Citation note Users should cite this derived dataset together with the original DLR Global SnowPack and ESA CCI snow cover products.