Primary Convener:
Chandramauli Awasthi, North Carolina State University

Convener:
Mona Hemmati, Gallagher Re
Nancy Barth, USGS Wyoming-Montana Water Science Center
Nasser Najibi, University of Florida

Early Career Convener:
Jeongwoo Hwang, NC State University

Chair:
Mona Hemmati, Gallagher Re
Nancy Barth, USGS Wyoming-Montana Water Science Center
Nasser Najibi, University of Florida
Jeongwoo Hwang, NC State University

Ungauged or poorly gauged watersheds represent one of the greatest uncertainties in global flood risk management. Over the past decade, however, new data streams, process‑based models, and machine‑learning approaches have begun to close this gap. This session invites contributions that advance flood prediction where streamflow records are sparse or absent, by integrating Earth‑observation data, physics‑based hydrologic models, AI/ML frameworks, crowd‑sourced observations, and reservoir‑operation analytics. Our goals are threefold: (1) showcase novel techniques for estimating peak discharge, inundation extent, and flood frequency in both natural and regulated basins; (2) compare the transferability and uncertainty of regionalization, physics-based and data-driven modeling approaches, and remote‑sensing techniques across diverse hydro-climatic settings and non‑stationary conditions; and (3) spark cross‑disciplinary dialogue among hydrologists, data scientists, and practitioners to co‑design open benchmarks and operational toolkits. The broader impacts include enhancing early‑warning systems for vulnerable communities, informing resilient infrastructure design, and guiding climate adaptation in data-poor regions worldwide.

Index Terms
1807 Climate impacts
1821 Floods
1874 Ungaged basins
4333 Disaster risk analysis and assessment

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events
Climate Change and Global Policy
Science Communications
Machine Learning and AI
Open Science and Open Data
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
NH - Natural Hazards
GC - Global Environmental Change

Co-Organized Sessions:
Natural Hazards

Neighborhoods:
3. Earth Covering
1. Science Nexus