WRF

4.6 Open source

Weather & Climate Coming soon

The Weather Research and Forecasting model on WECORE: mesoscale numerical weather prediction and regional climate research, with the solver decomposed across MPI ranks under Slurm.

MPI Slurm Forecasting

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Overview

Understanding WRF.

WRF is the Weather Research and Forecasting model, a mesoscale numerical weather prediction system used for both operational forecasting and atmospheric research.

A run is a pipeline rather than a single program: preprocessing to prepare domains and initial conditions, the solver itself, then post-processing.

Use cases

What people run it for.

Regional forecasting

Run recurring high-resolution forecasts over a local domain, on a queue built to hold a scheduled job and the boundary conditions it needs.

Downscaling global models

Nest local domains inside global-model output to resolve terrain and coastline effects the coarse grid cannot.

Air quality and dispersion

Feed air-quality and dispersion studies with meteorological fields at the resolution where the dispersion actually happens.

Climate and renewable-energy assessment

Run long regional-climate integrations and renewable-energy resource assessments over the same local domains.

Run modes

How it runs on WECORE.

Slurm batch

MPI solver runs under Slurm

The solver decomposes its domain across MPI ranks; Slurm places them and holds the run on as many nodes as the domain needs.

Slurm batch

Recurring forecast schedules

Forecast work is schedule-driven rather than ad hoc: the queue holds a recurring job, and cluster storage keeps the boundary conditions it consumes.

Coming soon

Bring your simulation stack to a cloud you control.

OpenFOAM, LAMMPS, and GROMACS are ready now, with the rest of the catalog rolling out. Request early access and tell us which app you need next.