Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

The project set out to provide open, adaptable technological solutions while fostering knowledge exchange through workshops and regular collaboration meetings.

 

Project Duration & Funding

  • Project Start Date: March 2024
  • Project Duration: Two years with the possibility of a one-year extension 
  • Funding Arrangement: £100k per year to support 1 Full-Time Equivalent (FTE) for technical development (Nina Burgdorfer), with MeteoSwiss providing at least 1 additional FTE as an in-kind contribution.

Personnel involved

  • MeteoSwiss: Victoria Cherkas, Carlos Osuna, Christian Kanesan, Sam Weyermann, Katrin Ehlert, Pirmin Kaufmann, Nina Burgdorfer
  • ECMWF:
    • Polytope/FDB: Tiago Quintino, James Hawkes, Emanuele Danovaro, Peter Tsrunchev, Mathilde Leuridan and Christopher Bradley
    • European Weather Cloud: Xavier Abellan, Francesco Murdaca and Samuel Langlois
  • Royal Meteorological Institute (RMI), Belgium: Paul Perez

 

 

3.     Achievements and Outcomes

This pilot project demonstrates how emerging technologies can modernize data workflows for NWP while requiring adaptations from Member States to fully leverage ECMWF’s evolving data access tools. By implementing concrete use cases, we validated new approaches and provided valuable feedback that improved ECMWF’s own systems. The project focused on five key areas:

Focus Area

Key Achievement

Flexpart Workflow on EWC

Deployed an end-to-end workflow integrating Aviso and Earthkit-Data, identifying infrastructure limitations such as the need for Infrastructure as Code (IaC) and Kubernetes support.

Modernizing Preprocessing

Transitioned legacy Fortran-based preprocessing to Earthkit-Data, improving maintainability and integration with modern workflows.

Collaborative Development

Worked closely with ECMWF to test and refine Polytope and FDB, ensuring its robustness and usability.

Knowledge Sharing

Organized a webinar on GPU acceleration and domain-specific languages, fostering discussions on emerging technologies in weather forecasting.

 

4.     Key Developments and Results

...