High-impact weather events, such as extreme precipitation, severe storms, damaging winds, landfalling atmospheric rivers, hurricanes/typhoons, wildfires, heatwaves, and droughts, have significant impacts on our society and daily life. Numerical weather prediction (NWP) models, advanced data assimilation (DA), artificial intelligence(AI)/machine learning (ML), and Research to Operations (R2O) play crucial roles in enhancing forecasts for these events. This session will focus on recent research and advancements in atmospheric modeling, data assimilation, artificial intelligence, and R2O aimed at improving analyses and forecasts of high-impact weather events, including those intended for operational and impact-oriented applications. We encourage submissions that explore various topics, such as the development and enhancement of model physics, advancements in DA algorithms and systems, observational impact studies, ensemble forecasting and predictability, R2O activities, forecast verification, synergies between AI and DA (AI4DA), synergies between AI and NWP (AI4NWP), and other relevant studies.