ICESEE (ICE ShEet state and parameter Estimator) is a data assimilation software framework designed for coupling with ice sheet models such as ISSM, Icepack, and idealized models like Lorenz-96. It provides a modular, extensible platform for applying ensemble-based data assimilation techniques in glaciological modeling and beyond.
ICESEE simplifies the implementation of advanced data assimilation workflows—such as the Ensemble Kalman Filter (EnKF) and its variants—across a range of geophysical models. It is designed with:
- A modular Python interface
- Seamless integration with external model codes (MATLAB, Firedrake, ISSM, etc.)
- Support for high-performance computing and containerized workflows
- Scalability for future integration with cloud platforms like AWS and portals like GHUB
To get started with ICESEE:
icepack: PDE-based modeling with Firedrakeissm: Finite-element ice sheet modeling (via MATLAB interface)lorenz96: Idealized nonlinear DA benchmarkingflowline_model: Simple ice flow simulation
Explore the Wiki to find:
- Configuration and setup tips
- How to implement new models
- How to extend or modify filters
- Debugging common issues
- Integration with AWS for scalable cloud computing.
- Incorporation into the GHUB online ice sheet platform with enhanced features.
For questions or contributions, please open an issue or pull request on the GitHub repository or contact me at bkyanjo3@gatech.edu