For organizations
Create one governed application service for laboratories, engineering groups, and teaching environments on infrastructure your organization controls.
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.
Provide research and engineering teams with approved applications and reproducible execution without asking them or your infrastructure team to maintain every software stack.
Create one governed application service for laboratories, engineering groups, and teaching environments on infrastructure your organization controls.
Choose an available application, configure a simulation, submit and track the run, review logs and status, and retrieve the recorded results.
Control approved applications and versions, licensing integration, access, resource quotas, execution policies, data location, and run history.
We package and validate applications, deploy the service on your OpenStack infrastructure, integrate licenses where required, and provide ongoing operations.
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.
Run recurring high-resolution forecasts over a local domain, on a queue configured for each scheduled forecast and its boundary conditions.
Nest local domains inside global-model output to resolve terrain and coastline effects the coarse grid cannot.
Feed air-quality and dispersion studies with meteorological fields at the resolution where the dispersion actually happens.
Run long regional-climate integrations and renewable-energy resource assessments over the same local domains.
The platform places the MPI processes across as many nodes as the domain needs.
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.