%0 Dataset
%T Arctic Land Temperature Dataset (1982-2015)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/e84bb59a-f6a5-415a-80ac-f310455bd5cd
%W NCDC
%R 10.12072/ncdc.arctic-change.db7149.2026
%A Yu Linfei
%A Leng Guoyong
%K Multi source data;vegetation;land evapotranspiration;temperature effects
%X This dataset provides monthly near-surface air temperature data for Arctic land areas (north of 60°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 observations and reanalysis data, including station observations (Fluxnet 2015), satellite-derived land surface temperature products (such as MODIS and AVHRR), and ERA5-Land reanalysis temperature data. By employing spatial interpolation, bias correction, and multi-source collaborative fusion algorithms, the dataset effectively addresses data inconsistencies caused by sparse station coverage, cloud cover interference, and sensor discrepancies in the Arctic region.In terms of quality control, a three-step validation strategy was implemented: comparison with independent meteorological station observations showed that the root mean square error (RMSE) of monthly average temperature was controlled within 1.2°C, with a mean bias error (MBE) below 0.3°C; spatial consistency tests with high-resolution reanalysis data demonstrated correlation coefficients above 0.92 in both winter extreme cold regions and summer tundra zones; cross-validation (leave-one-out method) was used to assess interpolation uncertainty, yielding standard errors below 0.8°C in station-dense areas and no more than 1.5°C in remote regions.