Dr. Gronewold will present findings from research focused on improving data sets and forecasting tools for a variety of topics related to hydrologic science and uncertainty assessment. Specific examples include regional customization of state-of-the-art land surface hydrology models, along with the development and application of novel statistical methods for improving management decisions that depend on environmental conditions ranging from the areal extent of seasonal coastal ice cover, to risk-based assessments of drinking water quality in remote regions.