The frequency and intensity of many impactful weather and extreme phenomena have increased across various timescales. Changing characteristics for extremes lead to changing exposure, resilience, and impacts. Therefore, timely and accurate predictions of these events can potentially reduce exposure, enhance resilience, and mitigate impacts by providing decision support to national and local application sectors. In this session, we invite contributions focusing on high-impact weather extremes research of direct utility to practitioners and their communities. Extremes of interest include but are not limited to, extreme hot/cold temperatures, ice storms, extreme winds, heavy precipitation, droughts, floods, extreme storms, and compound events (e.g., hot-dry events, temporally or spatially compounding events). Research that includes collaborations with operational and application sector users is particularly welcome. Such impacts-relevant research may be operational and observational, involve regional and global datasets, examine prediction, predictability, detection, and attribution of the extreme, and explore changes in the statistics of extremes.

• GC - Global Environmental Change
• H - Hydrology
• NH - Natural Hazards
• SY - Science and Society