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), 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.

*** OPEN CALL FOR ABSTRACTS (click here) ***

Presentations:

• t.b.a.

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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