Topic: Machine Learning Data Assimilation

Thursday, July 10, 2025 from 15-17h UTC

Machine Learning Data Assimilation

Organizers and Conveners: Hristo Chipilski (Florida State University, US), Rossella Arcucci (Imperial College London, UK), Sibo Cheng (CEREA, ENPC, Institut Polytechnique de Paris, France), Tobias Necker (ECMWF, Germany)

Learning from observations - Machine Learning (ML) or Data Assimilation (DA)? During the last few years, we have seen remarkable advancements in applying ML in the domain of DA. Combining both ML and DA already enabled developing hybrid approaches that soon will replace long-standing pure DA systems. This event aims to explore recent developments in these directions. We welcome all abstract submissions that push the boundaries of machine learning applications in the context of data assimilation.

Abstracts/Program (PDF download)

Questions asked during the event (Yopda)

Recorded presentations (RIKEN website / Youtube)

Presentations:

• AI-DOP: Learning a medium-range weather forecast directly from observations
  Eulalie Boucher, Mihai Alexe, Peter Lean, Ewan Pinnington, Patrick Laloyaux, Anthony McNally, Simon Lang, Matthew Chantry, Chris Burrows, Marcin Chrust, Florian Pinault, Ethel Villeneuve, Niels Bormann, Sean Healy
• Toward the development of coupled carbon and water cycle land data assimilation in the ECMWF Integrated Forecast System (IFS) by leveraging machine learning and new types of Earth observations
  Sébastien Garrigues, Patricia de Rosnay, Peter Weston, David Fairbairn, Ewan Pinnington, Souhail Boussetta, Anna Agusti‐Panareda, Jean‐Christophe Calvet, Cédric Bacour, Richard Engele
• Bayesian inference for geophysical fluid dynamics using generative models
  Alexander Lobbe, Dan Crisan, Oana Lang
• Towards real-time prediction with autoencoders
  Elise Özalp, Andrea Nóvoa, Luca Magri
• A Multi-Fidelity Ensemble Kalman Filter with a machine learned surrogate model
  Jeffrey van der Voort, Martin Verlaan, Hanne Kekkonen

Time Zones:
15 – 17 UTC
Europe:           04 – 06 pm BST (London)     | 05 – 07 pm CEST (Berlin)
Asia/Australia: 11 – 01 am CST (Shanghai)  | 00 – 02 am JST (Tokyo)      | 01 – 03 am AEDT (Sydney)
Americas:        08 – 10 am PDT (San Fran.) | 09 – 11 am MDT (Denver)   | 11 – 01 pm EDT (New York)

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