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WRF

4.6 Open source
Meteorology & Climate Available on request

The Weather Research and Forecasting model for mesoscale numerical weather prediction and regional climate research, with its domain distributed across MPI processes for multi-node runs.

MPI Scheduled runs Forecasting

A managed scientific-software service for your organization

Provide research and engineering teams with approved applications and reproducible execution without asking them or your infrastructure team to maintain every software stack.

For organizations

Create one governed application service for laboratories, engineering groups, and teaching environments on infrastructure your organization controls.

What your users can do

Choose an available application, configure a simulation, submit and track the run, review logs and status, and retrieve the recorded results.

What your infrastructure team gets

Control approved applications and versions, licensing integration, access, resource quotas, execution policies, data location, and run history.

How WECORE deploys and operates it

We package and validate applications, deploy the service on your OpenStack infrastructure, integrate licenses where required, and provide ongoing operations.

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 workflow rather than a single program: preprocessing prepares domains and initial conditions, followed by the solver and post-processing.

Use cases

What people run it for.

Regional forecasting

Run recurring high-resolution forecasts over a local domain, on a queue configured for each scheduled forecast and its boundary conditions.

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 the application runs in a managed environment.

Managed batch execution

Multi-node MPI solver runs

The platform places the MPI processes across as many nodes as the domain needs.

Managed batch execution

Recurring forecast schedules

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

Available on request

Run scientific software without managing the cluster.

Tell us which scientific application you need and how you plan to use it.