%0 Dataset
%T Monthly Mass Balance Reconstruction Dataset for Representative Glaciers in Alaska from 1961 to 2023
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/36d3b8c6-40cc-4b52-ade6-4dacdff24288
%W NCDC
%R 10.12072/ncdc.arctic-change.db7132.2026
%A Li Yaojun
%K Glacier mass balance;reconstruction;Multi-Parameter Automatic Calibration;OGGM
%X Alaska glaciers are among the regions experiencing the most severe mass loss globally. Studying the long-term mass balance in this region is of critical importance for understanding glacial responses to climate change. This dataset reconstructs monthly-scale mass balance for nine glaciers in Alaska over the past six decades, conducts comparative analyses of mass balance variations, and reveals the similarities, differences, and underlying mechanisms of these changes. Using a newly developed glacier mass balance reconstruction model, the monthly mass balance of nine glaciers in Alaska from 1961 to 2023 has been reconstructed, clarifying the spatial heterogeneity of mass balance changes in Alaska glaciers. Sensitivity experiments were further conducted to uncover the driving mechanisms behind the spatial variations in mass balance across Alaska glaciers.