TY  - Data
T1  - Arctic Land Snow Cover Dataset (1982-2015)
A1  - Yu Linfei
A1  - Leng Guoyong
DO  - 10.12072/ncdc.arctic-change.db7148.2026
PY  - 2026
DA  - 2026-05-13
PB  - National Cryosphere Desert Data Center
AB  - This dataset provides monthly snow cover fraction (SCF) products covering Arctic land areas (north of 66°N) from 1982 to 2015, with a spatial resolution of 10 km and projected using the Equal-Area Scalable Earth Grid (EASE-Grid 2.0). The data are generated through the fusion of multi-source satellite remote sensing datasets, including AVHRR, MODIS, and passive microwave remote sensing data, and are optimized for temporal consistency and spatial completeness using ERA5-Land reanalysis data. The dataset employs an improved nonlinear spectral mixture analysis model and a multi-sensor collaborative inversion algorithm to effectively address challenges such as cloud cover, snow-ice mixture confusion, and the lack of optical remote sensing data under polar night conditions in high-latitude regions. In terms of quality control, cross-validation and comparison with ground-based station observations show that the snow cover fraction inversion accuracy across different land cover types maintains a root mean square error (RMSE) of 8–12% and a mean absolute error (MAE) below 6%, with particularly robust performance in tundra and cold desert regions. The data are provided in GeoTIFF format and include monthly snow cover fraction (0–100%), a quality control identifier layer, and auxiliary environmental variables (such as surface temperature and snow albedo). This dataset is suitable for research on Arctic land surface processes, climate model validation, hydrological model forcing, and cryosphere change monitoring, providing reliable long-term spatial data support for understanding Arctic seasonal snow dynamics and their climate feedbacks.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/45fa9378-1722-4b37-ab3f-679cca38db13
ER  -