TY  - Data
T1  - Arctic Land Surface Albedo Dataset (1982–2015)
A1  - Yu Linfei
A1  - Leng Guoyong
DO  - 10.12072/ncdc.arctic-change.db7147.2026
PY  - 2026
DA  - 2026-05-13
PB  - National Cryosphere Desert Data Center
AB  - This dataset provides monthly scale surface albedo data covering the Arctic land region from 1982 to 2015. This dataset is constructed based on the ensemble averaging method of multi-source satellite albedo products to improve spatiotemporal coverage and data robustness. The mainstream albedo products integrated include: MCD43A3 (MODIS): resolution of 500 meters/8 days, based on BRDF model inversion; GLASS AVHRR: 0.05 °/8 days, optimized through multi-source fusion and spatiotemporal filtering; CLARA-A3 (AVHRR based): 0.25 °/month, suitable for long-term analysis in high latitude regions. All input data are re projected and bilinear interpolated to a 10 km EASE Grid spatial grid, and the arithmetic mean method is used to generate a set of monthly value products to reduce single sensor bias and fill missing values. To support albedo analysis and validation, this dataset synchronously provides spatially aligned ERA5 Land reanalysis variables, as well as land cover and soil attribute information from the Arctic Circumpolar Vegetation Map (CAVM). The accuracy of the dataset was validated by calculating the observed surface albedo using FLUXNet flux stations. Calculate the upward and downward shortwave radiation flux observed at the station as albedo and compare it with the ensemble average product of the corresponding pixels. The verification results indicate that the correlation coefficient (R) between the site and pixel albedo is generally higher than 0.80, and the root mean square error (RMSE) is controlled within 0.06.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/697a26d3-0dc2-4769-821b-0f4adb0dcfff
ER  -