Recurring hydrometeorological extremes, such as floods and droughts, have become a major public safety concern in the United States and the rest of the world. In 2020, a record rainfall in central Michigan resulted in the catastrophic failures of the two aging dams and the evacuation of more than 10,000 people. The top three largest wildfire acreage burned in the United States since 1960 happened during the past decade. Due to climate change, this kind of extreme event will likely become more frequent and severe in the future, potentially impacting millions of people and critical infrastructures. Building a resilient society requires improved modeling and understanding of the trends, risks, and uncertainty of the extreme events, as well as evaluating and renewing/redesigning critical infrastructures. This session will explore the recent advances in modeling hydrometeorological extreme events (e.g., data-driven/dynamical/statistical-dynamical modeling), risk and uncertainty quantification, and technology transfer practices (e.g., rainfall/runoff intensity-duration-frequency curves).