This study provides a spatially resolved estimate of the mass balance for about 92% of the glacierized area in High Mountain Asia (HMA) from 2000 to 2016. Using time series of digital elevation models derived from satellite stereo imagery, the researchers calculate an average region-wide mass balance of -16.3 ± 3.5 Gt yr\(^{-1}\) (-0.18 ± 0.04 m w.e. yr\(^{-1}\)), which is less negative than previous estimates. The mass balance varies significantly within regions, with the most positive mass change in the Kunlun region (+1.4 ± 0.8 Gt yr\(^{-1}\) (+0.14 ± 0.08 m w.e. yr\(^{-1}\)) and the most negative in the Nyainqentangtsha region (-4.0 ± 1.5 Gt yr\(^{-1}\) (-0.62 ± 0.23 m w.e. yr\(^{-1}\))). The study highlights the importance of calibrating models used to project future glacier responses to climate change, as existing models do not capture the pattern, magnitude, and intra-regional variability of glacier changes in HMA. The results also provide insights into the mass changes in controversial regions like the Pamir and Nyainqentanglha, where previous estimates were contradictory. The study's spatially detailed estimates can be directly compared with numerous local geodetic studies, enhancing the confidence in the revised estimates.This study provides a spatially resolved estimate of the mass balance for about 92% of the glacierized area in High Mountain Asia (HMA) from 2000 to 2016. Using time series of digital elevation models derived from satellite stereo imagery, the researchers calculate an average region-wide mass balance of -16.3 ± 3.5 Gt yr\(^{-1}\) (-0.18 ± 0.04 m w.e. yr\(^{-1}\)), which is less negative than previous estimates. The mass balance varies significantly within regions, with the most positive mass change in the Kunlun region (+1.4 ± 0.8 Gt yr\(^{-1}\) (+0.14 ± 0.08 m w.e. yr\(^{-1}\)) and the most negative in the Nyainqentangtsha region (-4.0 ± 1.5 Gt yr\(^{-1}\) (-0.62 ± 0.23 m w.e. yr\(^{-1}\))). The study highlights the importance of calibrating models used to project future glacier responses to climate change, as existing models do not capture the pattern, magnitude, and intra-regional variability of glacier changes in HMA. The results also provide insights into the mass changes in controversial regions like the Pamir and Nyainqentanglha, where previous estimates were contradictory. The study's spatially detailed estimates can be directly compared with numerous local geodetic studies, enhancing the confidence in the revised estimates.