Call for Abstracts: AGU26 Session OS009 on AI-Driven Ocean Modeling

[Abed H]

Dear colleagues,

On behalf of my co-conveners, I would like to invite you to submit an abstract to our session at the AGU Fall Meeting 2026: OS009 – AI-Driven Ocean Modeling, Inverse Problems, and Data Assimilation: Advances in Data, Methods, and Applications

AGU26 will take place 7–11 December 2026 in San Francisco, California, and the abstract submission deadline is 5 August 2026.

Our session explores how artificial intelligence, machine learning, and physics-based approaches can advance the modeling, prediction, and inference of ocean states, parameters, fluxes, sources, and processes. We welcome contributions spanning physical, biogeochemical, ecological, and coupled ocean systems.

Relevant topics include:

• AI-based and hybrid physics–AI ocean models
• Ocean emulation, forecasting, and prediction
• Bayesian and variational inverse methods
• Hybrid AI–data assimilation frameworks
• Learned observation operators, priors, surrogates, and emulators
• Multi-source data integration, bias correction, and sensor fusion
• Classification, event detection, and process-oriented analysis
• Uncertainty quantification, interpretability, and trustworthy AI
• Foundation models and emerging AI tools for ocean-science workflows

We especially welcome work connecting methodological advances with fundamental ocean science and decision-relevant applications, including ocean forecasting, climate and ecosystem dynamics, biogeochemical cycles, marine pollution, and coastal processes.

Session information and abstract submission: https://agu.confex.com/agu/agu26/prelim.cgi/Session/283333

Please feel free to share this invitation with colleagues, students, and collaborators who may be interested.

We look forward to your contributions and to an engaging session at AGU26.

Best regards,

Abed Hammoud
Postdoctoral Research Associate
Department of Civil and Environmental Engineering
Princeton University

On behalf of the session conveners:
Tianning Wu, Ashesh Chattopadhyay, Bianca Champenois, Bowen Chen, Yongfei Deng, and Abed Hammoud