ICESEE-HPC Coupling#
ICESEE is designed to scale from small tutorial problems to large ensemble simulations coupled with full ice-sheet models. These applications typically require HPC resources.
When HPC is needed#
HPC execution becomes important when:
ensemble sizes are large
model forecasts are expensive (SSA/full-Stokes solvers)
workflows require MPI parallelism
data volumes require structured storage (HDF5/Zarr)
ICESEE provides the assimilation logic, while HPC resources provide the computational scale.
Coupling to external ice-sheet models#
ICESEE supports coupling patterns where:
ICESEE manages ensemble state and analysis updates
an external model (ISSM, Icepack, custom solvers) performs the forecast step
restart files or standardized outputs provide the exchange interface
This keeps the DA engine model-independent.
Parallel execution model#
In typical deployments:
each ensemble member forecast runs as an independent task
MPI or job arrays distribute members across compute nodes
ICESEE gathers outputs for the analysis step
diagnostics and results are written in portable formats
The GHUB tool provides templates and documentation, while full-scale execution occurs externally.
Further documentation#
Detailed coupling notes and run scripts are maintained upstream: