Researchers at Washington State University have developed a computer model that can more accurately measure snow and water availability across large distances in the Western United States. The model uses an improved artificial intelligence process to predict water availability in areas where physical measurements of snow amounts are not possible. Unlike other models that focus solely on time-related measures, this model takes both time and space into account, resulting in more accurate predictions. The researchers compared their model's predictions to measurements from over 300 snow measuring stations in the Western U.S. and demonstrated its superior performance. The model has the potential to aid in better water management and planning in the region.