Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau - metadata
Wang, Tianyun
Additional Info
Summary
This study integrates four high-altitude glacierized datasets (Aru, Guliya, Naimona’nyi, and Dunde) on the Tibetan Plateau, covering observations from January to November 2019. Near-surface air temperature was spatially modeled by combining in situ measurements from the GATP Dataset (doi:10.26050/WDCC/GATP). The elevation data from the Topographic Data of Qinghai-Tibet Plateau (2021) as a reference for vertical adjustments. Glacier station measurements were interpolated using Delaunay triangulation of Voronoi-partitioned station coordinates, guided structurally by Landsat 8 thermal infrared imagery (30 m resolution, L2SP products, atmospherically corrected). Missing values were filled via masked nearest-neighbor or Kriging interpolation assignment, and the final temperature fields were smoothed for spatial consistency. Validation against ground-based observations assessed accuracy using root-mean-square error (RMSE, °C) and standard deviation (SD, °C), which were stored in the netCDF file and visualized in Temperature_Error graphs. Thermal infrared data ensured spatial alignment, while temperature values were derived from station measurements. This experiment captures spatial distribution of air temperature in four high-elevation glacierized regions on the Tibetan Plateau, producing a continuous, high-resolution temperature dataset for studying glacier mass balance and hydrology.
Wang, Tianyun (2025). Spatial distribution of air temperature in high-elevation glacierized regions: from observations in four catchments on the Tibetan Plateau - metadata. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=HGR_MDinfo