Seasonal snow covers over 30% of the Earth's land surface and provides the water supply for approximately one-sixth of the global population. In many of Earth’s mountainous regions, meltwater from seasonal snowpack controls annual production and provides the majority of water for municipal, agricultural, and industrial demands. Whereas many independent methods can be used to estimate snow water equivalent (SWE) and its spatial distribution and seasonal variability, a need exists for a systematic characterization of SWE in near-real-time. This presentation will present recent research aimed at fusing together satellite- and model-based historical reanalyses of snow water equivalent, ground-based snow measurements, and airborne lidar data in order to derive real-time SWE estimates.