As hydrometeorological hazards increasingly occur in compound, consecutive, and cascading forms, the scientific community must advance toward a holistic understanding across the full risk spectrum. This session provides a multidisciplinary forum to explore key aspects of multi-hazard research, from foundational datasets to risk-informed decision-making. We invite contributions addressing the challenges of complex events.

Data & Methodology: Advances in identifying and cataloging events using AI, machine learning, and causal inference, along with the development of open-source, interoperable datasets.

Physical & Statistical Modeling: Improving understanding of interactions and nonlinearities among climate drivers and the amplification of hazards.

Impacts & Vulnerability: Quantifying risks to infrastructure, agriculture, and socio-economic systems using multi-risk frameworks, including attribution and climate change influences.

Decision-Support & Governance: Strategies for early-warning systems, adaptation planning, and translating complex data into actionable policy.

This session aims to foster collaboration to accelerate resilience to interconnected climate risks.

• A - Atmospheric Sciences
• GC - Global Environmental Change
• H - Hydrology
• OS - Ocean Sciences