RISE 2019 Conference
Transforming University Engagement In Pre- and Post-Disaster Environments: Lessons from Puerto Rico
Transforming University Engagement In Pre- and Post-Disaster Environments: Lessons from Puerto Rico
This panel will emphasize the need to provide tailored and adaptive weather and flood risk information to decision makers before and during an extreme weather event. Numerical weather prediction outputs are traditionally (usually due to practical considerations) provided on a static grid at set times. This panel will discuss opportunities for technological advances in modeling, data assimilation including utilization of adaptive grids - all empowered by Artificial Intelligence/Machine Learning - to address the needs of decision makers. Emphasis is given to the needs of emergency managers.