Description:

Flood prediction and management are global needs. Hydrologic modeling advancements have led to the development of new predictive tools that leverage the collection and synthesis of observational data into modeling frameworks. These advancements have produced a research and development environment exhibiting a rapidly expanding range of data and products. This session invites contributions from all sectors of the AMS and broader hydrologic community whose work focuses on: (1) the development of flood-prediction tools (models, assimilation of observations, and methodologies to create and improve hydrologic representation of flood processes), (2) the analysis of floods and (3) lessons learned from managing floods from scientific and societal perspectives.

We are particularly interested in submissions focused on the current state and future of continental and global scale hydrologic prediction.  Advancements in computing power and improved methodologies have measurably improved flood monitoring and have made running distributed hydrologic models at small spatial scales, on the order of 1–10 km2 spatial resolution, more feasible, with forecast lead times of up to a week or more. Submissions will emphasize analyses of model performance compared to ground-truthed observations.