This Near-Surface Air Temperature Dataset for Aru Glacier (Qinghai-Tibet Plateau, 2019) provides spatially distributed temperature estimates derived from eight high-altitude meteorological stations on the glacier, combined with Landsat 8 Land Surface Temperature (30 m grid) data for precise spatial interpolation. Data graph visualizations of the errors between spatially interpolated temperatures and ground measurements were quantified using Root Mean Square Error (RMSE) of °C and standard deviation (SD) of °C, presented in the Temperature_Error Graphs (PDF format). The dataset serves as a reference for evaluating spatial interpolation accuracy in high-altitude cryospheric systems, supporting climate modeling, glacier mass balance studies, and environmental monitoring.
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Wang, Tianyun; Yang, Lu; Zhang, Deyuan; Zhou, Juncheng; Zhou, Tao; Song, Haolin (2025). Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/HGR