معرفی
William Pringle is a Researcher at Argonne National Laboratory, specializing in coastal ocean modeling and its interactions with the atmosphere, land, and hydrological processes. His work addresses coastal hazards such as tsunamis, storm surges, and waves generated by tropical cyclones and winter storms, with a focus on tides and probabilistic hurricane surge prediction. He collaborates extensively with Argonne’s Decision and Infrastructure Science division, the EVS Sociocultural Systems Department, the Department of Energy (DOE), and NOAA.
Education:
- Civil Engineering from the University of Canterbury, New Zealand
- Post-graduate work in tsunami research at Kyoto University’s Disaster Prevention Research Institute, Japan
- Three-year postdoctoral research at the University of Notre Dame, advancing global tidal and storm surge modeling capabilities
Research Focus: Dr. Pringle’s career centers on coastal ocean modeling and risk assessment, with applications in infrastructure resilience and climate projections. He co-developed the internationally adopted OceanMesh2D software for coastal ocean mesh generation, which supports accurate numerical modeling. His leadership in global storm surge and tide modeling using the ADCIRC model enabled NOAA’s operational Global Surge and Tide Forecast System. He also designed high-resolution coastal flood risk frameworks for U.S. utilities like AT&T and the New York Power Authority, contributing to national resilience planning. His innovative use of machine learning to quantify uncertainties in storm tide forecasts and regional climate simulations has influenced NOAA and DOE-sponsored projects.
Publication Trends: Recent studies emphasize coastal and climate science in the Great Lakes Region, integrating numerical modeling, climate projections, and machine learning. Topics include cyclone impacts on offshore wind energy, infrastructure resilience (e.g., coastal power transmission systems), and climate change effects on precipitation patterns and snowstorms. His work frequently involves interdisciplinary collaboration with institutions like NOAA, DOE, and academic partners such as the University of Notre Dame.
Labs and Teams: Dr. Pringle is affiliated with Argonne National Laboratory’s Decision and Infrastructure Science division, where he contributes to coastal climate science and infrastructure risk assessments. He also partners with DOE on climate resilience projects and works alongside computational science teams at Argonne to advance hurricane risk modeling for coastal and offshore systems.
