Primary Convener:
Takemasa Miyoshi, RIKEN Center for Computational Science

Convener:
Tetsuo Nakazawa, JST
Shu-Chih Yang, National Central University
Kohei Takatama, JST

Chair:
Takemasa Miyoshi, RIKEN Center for Computational Science
Tetsuo Nakazawa, JST

Climate change modulates the weather patterns, and humans face increasing risks of extreme weather events. To mitigate the risks, we build strong infrastructure and improve our predictive capabilities. Weather predictability has been studied extensively in the past decades, and the weather prediction skills have been improving consistently. We have limited weather predictability due to the chaotic nature and strong sensitivity to the initial conditions. This session welcomes presentations about the topics related to sensitivities, predictability and modifications of extreme weather events, including but not limited to theoretical and mathematical explorations, simulation studies, engineering approaches, and humanity aspects such as ethical, legal, social and economical issues.

Index Terms
3315 Data assimilation
1817 Extreme events
1922 Forecasting
4335 Disaster management

Cross-Listed:
NH - Natural Hazards
IN - Informatics
H - Hydrology
GC - Global Environmental Change

Co-Organized Sessions:
Hydrology

Neighborhoods:
3. Earth Covering