AI in DestinE
Artificial Intelligence in Destination Earth at ECMWF
This page serves as a hub for all artificial intelligence (AI) and machine learning (ML) activities led by ECMWF and its many partners in the Destination Earth (DestinE) initiative of the European Commission. Explore our latest news on AI and ML in DestinE, explainers as well as multimedia content like video interviews, animations, podcasts and much more.
In phase II of DestinE, AI and ML are playing an increasingly central role. ML-driven models and AI-based software solutions will boost DestinEs capabilities to quantify uncertainty in digital twins simulations and the interactivity of the DestinE system, leveraging the world-class supercomputing infrastructure of the European High-Performance Computing Joint Undertaking (EuroHPC’s).
DestinE’s ML activities are closely linked and complementary to the efforts led by ECMWF and its Member States. The initiatives rapid progress builds on the foundation laid by ECMWF project and the ML pilot project with the Member States and more particularly on the development of:
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- – Anemoi –the open-source ML framework now powering multiple state-of-the-art data-driven forecasting models in Europe
- – including ECMWF’s recently operationalised Artificial Intelligence Forecasting System (AIFS).
The cutting-edge EuroHPC supercomputing capabilities provides an optimal setting for AI training activities, directly supporting Europe’s efforts to develop a new generation of AI models for weather and climate.
AI in Phase II of DestinE: Objectives and scope
- Development of ML-based Earth system model components enabling progress towards a European ML-based Earth system model
- Enhancement of the Digital Twin Engine (DTE) software infrastructure to support the training and operation of machine learning models on EuroHPC systems.
- Application of AI to support uncertainty quantification of the digital twin simulations
- Use of AI to enhance the interactivity of the system and to enhance the usability of digital twin data.
Collaboration on AI in DestinE
Learn more about the benefits of using AI and ML models for weather and climate. Interviewees in order of appearance: Stefanie Hollborn (DWD), José Gonzalez-Abad (Predictia), Gabriela Aznar Siguan (Meteo Swiss), Rilwan Adewoyin (ECMWF), Sophie Buurman (KNMI).
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| ECMWF is opening invitations for tenders to support AI and machine learning development in DestinE.
Current procurements on AI/ML in DestinE Past procurements on AI/ML in DestinE Machine learning training ECMWF offers advanced training in ML and AI. Find more info on our ML training page. AIFS blog series Find out more about the AIFS in the blog series. AI Weather Quest The AI Weather Quest is an ambitious international competition designed to harness AI and ML in advancing weather forecasting. This is your chance to enhance the accuracy and reliability of forecasts with the integration of cutting-edge AI/ML techniques. Find out more about the AI Weather Quest here. |
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