Severe windstorms, such as tropical cyclones and tornadoes, are among the costliest natural hazards that significantly impact many communities around the world. The intensity and frequency of these hazards are exacerbated by climate change and the subsequent consequences are amplified by the current trend of urbanization in wind-prone areas. Recent windstorm events (e.g., the 2021 Western Kentucky Tornado, Hurricane Ida in 2021, the 2020 Easter Tornado Outbreak, and Typhoon Goni in 2020) highlight the importance of increasing the resilience of our built environment and its supporting infrastructure against these catastrophic storms. As a result, there is an urgent need to advance our modeling solutions to estimate the resilience of our communities against windstorms such that informed decisions can be made regarding mitigation strategies. The intricate interaction between various interdependent physical and socio-economic systems within the community with the multi-hazard nature of these storms offers many scientific and engineering innovation opportunities within this field. Within this context, this research topic aims to promote interdisciplinary research collaboration to advance the community resilience analysis against windstorms. The scope of this research topic covers, but is not limited to, the following:
• Numerical modeling and observational analysis of windstorms such as tropical cyclones and tornadoes.
• Vulnerability modeling of various community systems (e.g., buildings, lifeline networks, etc.).
• Impact prediction of the various hazards associated with windstorms (e.g., storm surge, heavy rainfall, inland flooding, etc.) on the community.
• Applications of artificial intelligence and machine learning techniques in advancing community resilience against windstorms.
• The impact of climate change on the severity/frequency of tropical cyclones and severe thunderstorms.
• The role of adaptation and mitigation strategies for buildings and communities to enhance community resilience.
Severe windstorms, such as tropical cyclones and tornadoes, are among the costliest natural hazards that significantly impact many communities around the world. The intensity and frequency of these hazards are exacerbated by climate change and the subsequent consequences are amplified by the current trend of urbanization in wind-prone areas. Recent windstorm events (e.g., the 2021 Western Kentucky Tornado, Hurricane Ida in 2021, the 2020 Easter Tornado Outbreak, and Typhoon Goni in 2020) highlight the importance of increasing the resilience of our built environment and its supporting infrastructure against these catastrophic storms. As a result, there is an urgent need to advance our modeling solutions to estimate the resilience of our communities against windstorms such that informed decisions can be made regarding mitigation strategies. The intricate interaction between various interdependent physical and socio-economic systems within the community with the multi-hazard nature of these storms offers many scientific and engineering innovation opportunities within this field. Within this context, this research topic aims to promote interdisciplinary research collaboration to advance the community resilience analysis against windstorms. The scope of this research topic covers, but is not limited to, the following:
• Numerical modeling and observational analysis of windstorms such as tropical cyclones and tornadoes.
• Vulnerability modeling of various community systems (e.g., buildings, lifeline networks, etc.).
• Impact prediction of the various hazards associated with windstorms (e.g., storm surge, heavy rainfall, inland flooding, etc.) on the community.
• Applications of artificial intelligence and machine learning techniques in advancing community resilience against windstorms.
• The impact of climate change on the severity/frequency of tropical cyclones and severe thunderstorms.
• The role of adaptation and mitigation strategies for buildings and communities to enhance community resilience.
