Primary Convener:
Alka Tiwari, The University of Texas at Austin

Convener:
Zhi Li, University of Oklahoma
L. Ruby Leung, Pacific Northwest National Laboratory
Scott Collis, Argonne National Laboratory

Chair:
Scott Collis, Argonne National Laboratory
Alka Tiwari, Purdue university
Zhi Li, University of Oklahoma

Rapid urbanization and intensifying storms are escalating flood risks globally, demanding innovative, interdisciplinary solutions. This session invites researchers, practitioners, and stakeholders to advance holistic flood science by bridging physical, social, and technological domains—echoing AGU’s theme, “Where Science Connects Us.” We welcome contributions addressing the interconnected nature of flood systems across three themes: (1) integrated modeling of hydrologic, hydraulic, infrastructure, and socioeconomic systems; (2) compound flood impacts on vulnerable populations, infrastructure, and ecosystems; and (3) applications of AI and machine learning for improved flood prediction, assessment, and planning. We seek abstracts that present novel frameworks for: analyzing cascading impacts using coupled natural-human systems, applying AI in real-time forecasting and early warning, evaluating nature-based solutions, and incorporating community sensitivity into risk models. The session aims to foster cross-disciplinary dialogue and share emerging best practices for equitable, science-based adaptation strategies. Submissions from diverse geographic and institutional contexts are strongly encouraged.

Index Terms
1834 Human impacts
1847 Modeling
4303 Hydrological
6309 Decision making under uncertainty

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Machine Learning and AI
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
NH - Natural Hazards
SY - Science and Society
A - Atmospheric Sciences
EP - Earth and Planetary Surface Processes

Neighborhoods:
3. Earth Covering