AboutThe Weather Prediction Model Intercomparison Project (WP-MIP) aims to accelerate the development and integration of the next-generation of operational weather prediction systems. The project will create a public database of predictions from the full spectrum of artificial intelligence-based (AIWP), physically based (NWP) and hybrid systems using standard production pipelines. This centralized archive will be used for distributed diagnostics and model evaluation, with the goals of:
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The project is divided into two streams based on the initialization data. The Same Initial Conditions (SIC) stream consists of forecasts initialized with ECMWF analysis grids, while forecasts in the Own Initial Conditions (OIC) stream are initialized with each centre's own analyses. The OIC stream reflects operational configurations, and comparisons between the streams provide valuable information on the sensitivity to initial conditions in the different forecasting systems.
In addition to the core SIC and OIC integrations, contributors are encouraged to participate in optional subprojects focusing on specific forecast features. These sub-projects require additional data and offer the benefit of more detailed diagnostics and model evaluation.
More information about the project is contained in the whitepaper.
Members and contacts
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Upcoming Meetings
Event | Dates and Locations | Description |
Ver-AI Workshop | 23-24 June 2025; Reading, UK | Project planning and preliminary diagnostics and evaluations of early OIC-stream contributions |
JWGFVR Workshop | 20-24 October 2025; Montreal, Canada | Diagnostics and evaluation of OIC-stream contributions, and preliminary assessments of initial condition sensitivities and SIC-stream contributions |
WP-MIP Resources
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