https://fortran.sh3d.com.au/tags/wrf/ Recent content in WRF on Fortran 2026 Hugo en https://fortran.sh3d.com.au/projects/wrf/ Mon, 01 Jan 0001 00:00:00 +0000 https://fortran.sh3d.com.au/projects/wrf/ <p>The <strong>Weather Research and Forecasting (WRF)</strong> 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.</p> <h2 id="where-we-add-value">Where we add value<a class="td-heading-self-link" href="#where-we-add-value" aria-label="Heading self-link"></a></h2> <ul> <li><strong>Reproducible builds</strong> of WRF and its dependencies (HDF5, NetCDF, MPI, compiler stacks) — pinned, scripted, containerised.</li> <li><strong>Operational packaging</strong> so a forecast run can be reproduced months later from the same inputs and binaries — see <a href="https://fortran.sh3d.com.au/expertise/packaging/">Expertise → Packaging</a>.</li> <li><strong>Pipeline integration</strong>: feeding WRF outputs into downstream systems, dashboards, and APIs.</li> <li><strong>Recovery of legacy WRF runs and inputs</strong> from old storage — see <a href="https://fortran.sh3d.com.au/expertise/legacy-data/">Expertise → Legacy data</a>.</li> <li><strong>Performance and 64-bit upgrades</strong> for older WRF deployments.</li> </ul> <h2 id="talk-to-us">Talk to us<a class="td-heading-self-link" href="#talk-to-us" aria-label="Heading self-link"></a></h2> <p><a href="mailto:simon@unisolve.com.au">simon@unisolve.com.au</a> or <a href="mailto:scottp@dd.com.au">scottp@dd.com.au</a></p>