Author Description

Under the impacts of climate change, the frequency and intensity of extreme weather events are increasing, posing significant challenges to global socio-economic development. Extreme weather, characterized by unexpected, unusual, severe, or unseasonal rainstorms, droughts, extreme temperatures, and wildfires, often leads to secondary hazards such as landslides, debris flows, mountain torrents, urban waterlogging, and agro-meteorological hazards. These cascading disaster chains exhibit unique spatial differences and require comprehensive risk assessment and resilience management. Recent advancements in meteorological observation networks, radar and satellite detection accuracy, and new meteorological data products have improved the monitoring and forecasting of extreme weather events. However, the regional dependencies and unpredictability of these events necessitate further research to better understand and mitigate the associated risks. There is a pressing need to link extreme weather forecasts with the prediction of secondary disasters to enhance preparedness and response strategies. This research topic aims to explore the risk assessment and resilience management of extreme weather-induced disasters. The primary objectives include understanding the mechanisms of extreme weather events, improving forecasting techniques, and developing effective strategies to mitigate the impacts of cascading secondary hazards. Specific questions to be addressed include: How can we enhance the accuracy of extreme weather forecasts? What are the best practices for managing urban flooding and waterlogging? How can we improve the resilience of communities to agro-meteorological and hydro-meteorological disasters? By addressing these questions, the research aims to contribute to more effective disaster risk reduction and resilience-building efforts. To gather further insights into the risk assessment and resilience of extreme weather-induced disaste