We report the first application of a novel approach to retrieve spatially-resolved elevation change from radar altimetry over entire mountain glaciers areas. We apply interferometric swath altimetry to CryoSat-2 data acquired between July 2010 and July 2019 over High Mountain Asia (HMA) and in the Gulf of Alaska (GoA). We bin swath elevation data into 100 x 100 km bins, remove the topography with a reference DEM and generate linear rates of elevation changes for each bin individually using a weighted regression model. We exclude solutions that that did not fulfil a set of quality criteria based on elevation change uncertainties, temporal completeness, interannual changes and stability of regression results. To extrapolate missing data, hypsometric averaging is applied. We find that during the study period, HMA and GoA have lost an average of –28.0 ± 3.0 Gt yr–1 (–0.29 ± 0.03 m w.e. yr–1) and –76.3 ± 5.7 Gt yr–1 (–0.89 ± 0.07 m w.e. yr–1) respectively. Glacier thinning is ubiquitous except for the Karakoram-Kunlun region experiencing stable or slightly positive mass balance

High Mountain Asia data:Hma_dhdt_Jakob-etal_2021.tif - Rates of glacier surface elevation change [m yr-1]Hma_error_Jakob-etal_2021.tif - Uncertainties in the rates of elevation change [m yr-1]Hma_area_Jakob-etal_2021.tif - The glacierized area within the spatial unit based on the Randolph Glacier Inventory (RGI 6.0) glacier masks [km2]Projection: '+proj=aea +lat_1=25 +lat_2=47 +lat_0=36 +lon_0=85 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs'Gulf of Alaska data:Goa_dhdt_Jakob-etal_2021.tif - Rates of glacier surface elevation change [m yr-1]Goa_error_Jakob-etal_2021.tif - Uncertainties in the rates of elevation change [m yr-1]Goa_area_Jakob-etal_2021.tif - The glacierized area within the spatial unit based on the Randolph Glacier Inventory (RGI 6.0) glacier masks [km2]Projection: '+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs'