AGU25 Session on Flood Prediction and Risk Assessment in Coastal, Inland, and Transition Zones

[Fariborz Daneshvar - NOAA Affiliate]

Dear Colleagues,

We would like to invite you to submit your abstracts to our AGU25 session: OS002 - Advances in Flood Prediction and Risk Assessment in Coastal, Inland, and Transition Zones. 

Session Description:

This session addresses the growing need for accurate short-term predictions and long-term risk assessment of storm-related coastal hazards, including surges, waves, and tides, as well as insights from inland hydrology and baroclinic coupling. It invites studies on four key topics: 1) innovative methods integrating machine learning / artificial intelligence, cloud computing, geospatial tools, and open-source platforms for enhanced storm surge modeling and compound flood prediction; 2) assessing the impact of factors such as urbanization, and land cover scenarios, along with quantifying related uncertainties in compound flooding; 3) applying computational and mathematical techniques to analyze and mitigate uncertainties in flood prediction; and 4) evaluating socio-economic impacts on coastal communities and economic infrastructure. The goal is to improve coastal flood assessment methods through collaboration among researchers and practitioners, aiming to enhance our understanding of coastal flood hazards and their broader impacts.

Keynote Speakers:

• Clint Dawson (University of Texas at Austin)
• Joannes Westerink (University of Notre Dame)
• Fei Ye (Virginia Institute of Marine Science)

Submission Deadline: July 30, 2025

For more information, please see attached flyer.

On behalf of the conveners,

Fariborz Daneshvar (NOAA, National Ocean Service)

Saeed Moghimi (NOAA, National Ocean Service)

Atieh Alipour (NOAA, National Ocean Service)

Albert Cerrone (University of Notre Dame)

William Pringle (Argonne National Laboratory)