Project Goals

Abstraction: ONR-MURI program applying ML to sea ice modeling

Key points:

• Multi-university ONR-MURI program developing computational toolkit for sea ice prediction
• Combines Bayesian data assimilation, computational inverse problems, ML, and numerical ODE/PDE modeling
• Goal is to improve quality and robustness of sea ice modeling by integrating multiple data acquisition modalities
• Team developing benchmark problems to test accuracy, efficiency, and robustness of methods
• Five-PI multidisciplinary team spanning mathematics, statistics, engineering, and physics

Connections: Arizona State University · Office Of Naval Research · Bayesian Data Assimilation · Computational Inverse Problems · Machine Learning

Source: https://math.la.asu.edu/~muri/