全球山地冰川0.005°网格物质平衡年度数据产品（2001-2020）

为了研制较高时空分辨率的冰川质量变化数据产品，运用数据融合方法，针对全球13个较大面积的一级RGI6.0冰川区域，融合ASTER DEM数据的冰川质量变化估计的两种不同时空分辨率数据产品（Hugonnet等，2021），在0.005度网格上获取了20年每年的冰川质量变化、趋势速率和加速度结果。经过地面实测结果的检验，数据融合产品给出的每年冰川质量变化的误差为±1.25 m，趋势速率的误差为±12.58 cm yr-1。数据融合产品的可靠性还得到冰川学和大地测量外推方法、基于GRACE卫星重力的估计结果的证实。可供科研人员从事全球变化预测和应对研究。

To develop high-spatiotemporal-resolution glacier mass change data products, a data fusion approach was employed for 13 large-scale first-level Randolph Glacier Inventory 6.0 (RGI6.0) glacier regions globally. We fused two distinct spatiotemporal resolution datasets of glacier mass change estimates derived from ASTER DEM data (Hugonnet et al., 2021), and generated annual glacier mass change, trend rate and acceleration results over a 20-year period on a 0.005° grid. Validated against in-situ field measurements, the data fusion product has an error of ±1.25 m for annual glacier mass change and ±12.58 cm yr⁻¹ for the trend rate. The reliability of this data fusion product is further confirmed by glaciological and geodetic extrapolation methods, as well as estimation results based on GRACE satellite gravity data. This dataset is available for researchers to conduct global change prediction and adaptation research.