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Extension work stream and planned output | Objectives addressed | Progress and achievements to date (August 2026) |
WS1 – Integration of earthkit in the Anemoi framework(D1.1 Migration to earthkit; D1.2 Missing or improved earthkit functionality)
| O3 · O4
| The project established an exchange with the Anemoi machine-learning community, with the goal to assess overlaps between Anemoi and earthkit in the handling of meteorological data. Some functionality currently implemented or wrapped within Anemoi can increasingly be provided by earthkit as a common data-handling layer, allowing Anemoi to focus more clearly on its machine-learning workflows. Following the stable earthkit 1.0 release at the end of June 2026, existing migration work within Anemoi is updating the packages to the new interfaces and reducing duplicated data-handling code. Testing of the migrated interfaces and identification of remaining gaps continue during Q3. Key indicator:Technical exchange with the Anemoi community established and presented at the July 2026 Machine Learning Pilot Project All-Hands. |
WS2 – Publishing the FLEXPART workflow as an EWC blueprint (D2.1 Deployable blueprint; D2.2 Documentation and user guidance) | O1 · O2 · O4 | The FLEXPARTatmospheric dispersion modelhas been integrated into a documented, deployable blueprint, and published on the EWC Community Hub, where EWC users can discover and reuse applications. The blueprint automates the full FLEXPART chain, from retrieval of IFS forecast data through ECMWF MARS and preprocessing to model execution and visualisation, and can be deployed using EWCCLI, the EWC command-line tool. Beyond the FLEXPART use case, it provides a practical example of how Member States can turn technical workflows into reproducible, shareable EWC resources. Key indicator:Published FLEXPART-IFS blueprint on the EWC Community Hub, including deployment documentation and user guidance. |
WS3 – Support for native unstructured-grid data and meteorological processing in the earthkit ecosystem(D3.1 Testing, gaps and feedback; D3.2 Demonstration notebooks) | O1 · O2 · O3 | The project has advanced and demonstrated support for unstructured-grid data across ECMWF’s data-access and processing tools. Using the operational ICON model configurations at MeteoSwiss as practical test cases, notebooks demonstrate how earthkit can load, regrid and visualise these data, while Polytope enables selective retrieval of areas, time series, trajectories and profiles. The resulting reusable workflows and examples demonstrate how ECMWF tools can be applied to native unstructured-grid data and provide a basis for evaluating similar approaches for other Member State datasets.Further work is ongoing during Q3 and Q4 to consolidate these workflows and extend meteorological processing capabilities in earthkit-meteo. Key indicator:Native ICON unstructured-grid workflows demonstrated with earthkit and Polytope, including 4 Polytope retrieval types: areas, time series, trajectories and vertical profiles. |
Cross-cutting – Community dissemination and reuse | O3 · O4 | The extension year has increased the emphasis on making project outputs openly accessible and reusable beyond their original implementation. Public notebooksdemonstrate complementary ways of working with NWP data: open-data access and processing with earthkit, and workflows using FDB, Polytope and earthkit. Together, the examples show how NWP data can be retrieved, processed and visualised using the technologies explored by the project. The EWC blueprint is likewise accompanied by source code, deploymentdocumentation and usage guidance.The experience of moving from a technical prototype to a reusable Community Hub resource will also be presented at the EWC UserWorkshop on 22 September 2026, providing a practical example for other users interested in publishing and sharing their own EWC workflows. Key indicator: 2 public demonstration repositories, 2 project presentations completed, and 1 further presentation planned for September 2026. |
3.2 Results and activities
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