Quickstart#
This page provides the fastest way to begin using ICESEE in the GHUB environment. It is intentionally minimal: one runnable tutorial, a few key concepts, and clear next steps.
1. Run the first end-to-end example#
The recommended entry point is the Lorenz-96 tutorial notebook, which demonstrates a full forecast → analysis data assimilation cycle in a lightweight setting.
2. What this tutorial demonstrates#
The Lorenz-96 example illustrates the core ICESEE workflow:
ensemble initialization
model forecast propagation
synthetic observation generation
EnKF-style analysis update
diagnostic evaluation (error and spread)
These same steps carry over to ice-sheet applications, where the model component is replaced by a flowline solver or a full ice-sheet model.
3. Suggested path through the book#
After completing Lorenz-96, continue with:
4. Moving beyond toy models#
ICESEE is designed to scale from idealized systems to ice-sheet simulations. For advanced execution environments: