| Session Description |
Session Description: Globally, extreme weather is on the rise. Flooding alone impacts 96 million people a year at an average cost of $13.7 billion and is expected to increase to $500 B by 2030. Coastal and inland communities are becoming more vulnerable and exposed to increasing extreme precipitation trends associated with changing large-scale patterns. Yet the accurate prediction of extreme events remains a critical scientific challenge. Proper mitigation could reduce adverse extreme weather impacts, particularly flood-related loses. Extreme weather resiliency demands improved weather and climate prediction and response strategies to strength the protection of life and property. There are active research aimed to decrease vulnerability and exposures, with more precise short-range and long-term forecasts, more effective warning tools, and more effective decision support for decision makers and emergency responders. For instance, there is an ongoing US-Taiwan PIRE (Partnerships for International Research and Education) project to address the challenges associated with extreme weather resiliency with a particular focus on reducing the impacts/risks of extreme precipitation through the enhancement of weather and climate prediction models and a better understanding of decision-making risk and response during extreme events. This session would solicit observational and modeling studies on the following topics: (1) on past and future regional trends of weather extremes and their associated larger scale weather features, (2) new or improved methods for predicting weather extremes particularly probabilistic approaches, (3) the development and application of model physics in both weather and climate regimes, and (4) decision support and response in emergency management of weather extremes. Submissions on all aspects of weather and climate extremes are welcomed in these areas. |
