Call for Abstracts: AGU Session - H025 - Advancing Hydrologic Processes to Improve Flood Prediction

[Amardeep Tiwari]

Dear Colleagues,

We invite you to submit abstracts in our session for the AGU 2026 Fall Meeting:

Session: H025 - Advancing Hydrologic Processes to Improve Flood Prediction
Link: https://agu.confex.com/agu/agu26/prelim.cgi/Session/282620

About the Session:
Floods are among the most devastating natural hazards, driven by complex and interrelated physical processes. These processes vary across catchments and seasons, making it critical to understand the unique drivers of flood events, including extreme rainfall, land use change, river dynamics, atmospheric conditions such as hurricanes, and human interventions. As natural variability reshapes flood behavior, advancing catchment-specific knowledge is essential for improving prediction and preparedness, including in under-resourced regions.

This session invites contributions that enhance understanding of the physical processes behind flooding and show how improved process-scale insights can strengthen flood forecasting, impact assessment, and risk management.

We welcome contributions in areas including, but not limited to:
Advancements in understanding flood generation processes
Incorporating physical knowledge into improving flood forecasting
Physics-informed statistical or machine learning models.
Studies on riverine, flash, coastal, urban, and hurricane-induced floods
Innovative approaches for flood modeling in data-limited environments
Deadline: 5 August 2026

Invited speakers:
Dr. Hamid Moradkhani (University of Alabama)
Dr. Humberto Vergara (University of Iowa)

Convenors:
Amar Deep Tiwari, Michigan State University
Nanditha J. S.,  Indian Institute of Technology, Kanpur
Anukesh Krishnankutty Ambika, Oak Ridge National Laboratory
Saran Aadhar, Indian Institute of Technology, Jodhpur