%0 Dataset
%T Arctic Glacier Dataset
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/6e38b964-484b-4ada-abfe-02bc3341ff4e
%W NCDC
%R 10.12072/ncdc.arctic-change.db7131.2026
%A WU Tonghua
%K Glacier area;glacier thickness and storage;glacier movement speed;glacier mass balance;glacier temperature
%X This dataset utilizes multi-source remote sensing data to generate information on Arctic glacier area, thickness, ice volume, mass balance, movement velocity, and surface temperature since 1980. A total of 16 representative glaciers within the study area were selected as research subjects, distributed as shown in Figure 1. The dataset was produced as follows: Based on Landsat data, visual interpretation methods were employed to generate five glacier inventories for the Arctic region covering the years 1985, 1995, 2005, 2015, and 2024, from which corresponding glacier areas were extracted. Using two publicly available glacier thickness and mass balance datasets, thickness and mass balance information for the target glaciers during the study period was obtained through mean value processing. Mass balance data were sourced from published literature and model reconstructions. Glacier movement velocities for the target glaciers from 1985 to 2022 were extracted using ITS_LIVE velocity data. Monthly temperatures for the target glaciers from 1985 to 2024 were determined using ERA5 reanalysis data. Glacier surface temperature ranges were delineated based on glacier inventories, with the average temperature within each range representing the surface temperature.