WRF
Weather Research and Forecasting model — build, run, and integration support.
Categories:
The Weather Research and Forecasting (WRF) model is a large, mature, Fortran-heavy scientific code that is famously fiddly to build and operate at production scale. We help teams running WRF treat it as a real production system rather than a research experiment.
Where we add value
- Reproducible builds of WRF and its dependencies (HDF5, NetCDF, MPI, compiler stacks) — pinned, scripted, containerised.
- Operational packaging so a forecast run can be reproduced months later from the same inputs and binaries — see Expertise → Packaging.
- Pipeline integration: feeding WRF outputs into downstream systems, dashboards, and APIs.
- Recovery of legacy WRF runs and inputs from old storage — see Expertise → Legacy data.
- Performance and 64-bit upgrades for older WRF deployments.