The GLRDAV preprint integrates HydroLAKES and GLOBathy to deliver depth-area-volume curves for 1.4 million waterbodies using polynomial fits up to order 5 at 0.1 m resolution. Validation against ReGeom, GRDL, and four Texas reservoirs shows higher-order polynomials reduce RMSE most effectively, though power functions suffice for shallow, simple basins. This fills a longstanding void in planetary-scale hydrology where prior datasets lacked scalable bathymetry. Unlike coarser efforts, it supports evaporation and storage projections under warming scenarios, directly informing IPCC-style water security assessments. Limitations include dependence on input dataset accuracy and potential underperformance in morphologically complex or data-sparse regions such as high-latitude or arid-zone lakes. Connections to real-time satellite altimetry and emerging Earth-system models suggest rapid uptake for ecosystem and reservoir management.