TY  - Data
T1  - Arctic Land Surface Albedo Feedback Dataset (1980–2014)
A1  - Yu Linfei
A1  - Leng Guoyong
DO  - 10.12072/ncdc.arctic-change.db7146.2026
PY  - 2026
DA  - 2026-05-13
PB  - National Cryosphere Desert Data Center
AB  - The surface albedo feedback effect (SAF) is one of the key mechanisms driving polar warming. A SAF dataset covering the Arctic land region from 1980 to 2014 was constructed using multi-source remote sensing and reanalysis data. The data sources include GLASS second-generation albedo product (0.05 °/8 days), GIMMS3g NDVI (approximately 8 km/15 days), ERA5 Land reanalysis product (9 km, covering temperature, snow cover, soil moisture and types), and Arctic Circumpolar Vegetation Map (providing land cover and soil matrix chemical characteristics). All data were re projected and interpolated to a 10 km EASE Grid grid to ensure spatiotemporal consistency. Based on the classical SAF framework, the monthly scale SAF intensity is calculated by the ratio of the relative change in surface albedo to the rate of change in near earth temperature. The accuracy evaluation results show that the correlation coefficient between GLASS albedo and ground and MODIS data is generally higher than 0.85, with a root mean square error of less than 0.05; NDVI data maintains good temporal stability in multi-source comparison; ERA5 Land temperature and snow data have a deviation of less than 5% compared to observational data. Overall, it indicates that the dataset has high spatiotemporal consistency and reliability.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/f865a3ee-bcf5-4151-b6c8-443f0a5a90d7
ER  -