Programme
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| Wednesday, 9 April 2025 | ||
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Registration and welcome
Gustav-Stresemann-Institut (GSI) Europäische Tagungs- und Bildungsstätte Bonn Langer Grabenweg 68 53175 Bonn-Bad Godesberg |
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| 07:30 to 08:00 | Registration | |
| 08:00 to 08:10 | Welcome |
Speaker: Florence Rabier (ECMWF)
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Session 1: Algorithms, Observations, Predictability
Chairs: Elias Holm and Marcin Chrust
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| 08:10 to 08:40 | Data Assimilation: Initial conditions and beyond |
Speaker: Massimo Bonavita (ECMWF)
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| 08:40 to 09:10 | On the role of the tropics in global predictability |
Speaker: Nedjeljka Zagar (University of Hamburg)
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| 09:10 to 09:40 | Towards higher spatial and temporal resolution data assimilation in ECMWF IFS |
Speaker: Emiliano Orlandi
Speaker: Ziga Zaplotnik
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| 09:40 to 10:00 | Coffee break | |
| 10:00 to 10:30 | Data assimilation developments at DWD |
Speaker: Christina Köpken-Watts (DWD)
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| 10:30 to 11:00 | New error covariances & DA formulations at Météo-France with OOPS |
Speaker: Loïk Berre (Météo-France)
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| 11:00 to 11:30 | HIRLAM data assimilation: current status and vision |
Speaker: Roger Randriamampianina (Norwegian Meteorological Institute)
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| 11:30 to 12:00 | Developments in Data Assimilation and use of Observations at the Met Office |
Speaker: David Simonin (UK Met Office)
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| 12:00 to 13:00 | Lunch break | |
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Session 1 continued: Algorithms, Observations, Predictability
Chairs: Sebastien Massart and Alban Farchi
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| 13:00 to 13:30 | Exploiting synergies in Composition and NWP data assimilation |
Speaker: Antje Inness (ECMWF)
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| 13:30 to 14:00 | Coupling Earth System Components in Data Assimilation: Advantages and Key Challenges |
Speaker: Philip Browne (ECMWF)
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| 14:00 to 14:30 | Group photo and coffee break | |
| 14:30 to 15:00 | Present and future observational landscape in Numerical Weather Prediction |
Speaker: Angela Benedetti
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| 15:00 to 15:30 | Observation uncertainty and information content |
Speaker: Sarah Dance (University of Reading)
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| 15:30 to 16:00 | Predictability constraints on medium-range weather prediction |
Speaker: George Craig (Meteorological Institute, LMU Munich)
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| 16:30 to 18:30 | Poster session | |
Agenda times display according to the selected time zone
| Thursday, 9 April 2025 | ||
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| 07:30 to 08:00 |
Arrival and registration
Gustav-Stresemann-Institut (GSI) Europäische Tagungs- und Bildungsstätte Bonn Langer Grabenweg 68 53175 Bonn-Bad Godesberg |
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Session 2: Hybrid Data Assimilation - Machine Learning
Chairs: Ziga Zaplotnik and Emiliano Orlandi |
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| 08:00 to 08:30 | Machine learning for data assimilation |
Speaker: Marc Bocquet (CEREA, École des Ponts and EDF R&D)
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| 08:30 to 09:00 | Development of an offline and online hybrid model for the Integrated Forecasting System |
Speaker: Alban Farchi (ECMWF)
Speaker: Marcin Chrust (ECMWF)
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| 09:00 to 09:30 | DWD's vision of a fully data-driven data assimilation approach |
Speaker: Jan Keller (Deutscher Wetterdienst)
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| 09:30 to 10:00 | Coffee break | |
| 10:00 to 10:30 | Hybrid data assimilation and machine learning |
Speaker: Alan Geer (ECMWF)
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| 10:30 to 11:00 | Machine Learning for Data Assimilation at Météo-France |
Speaker: Vincent Chabot (Météo France)
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| 11:00 to 11:30 | Harmonizing Knowledge: Machine Learning Meets Data Assimilation |
Speaker: Tijana Janjic (MIDS, KU Eichstaett-Ingolstadt)
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| 11:30 to 12:00 | Harnessing machine learning for high resolution data assimilation |
Speaker: Tomas Landelius (SMHI)
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| 12:00 to 13:00 | Lunch break | |
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Session 2 continued: Hybrid Data Assimilation - Machine Learning
Chairs: Marc Bocquet and Massimo Bonavita
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| 13:00 to 13:30 | Computational Optimizations and Emulation of EDA Perturbed Members and Statistics |
Speaker: Elias Holm (ECMWF)
Speaker: Wei Pan (ECMWF)
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| 13:30 to 14:00 | Merging DA and ML at various degree: examples from DA for Arctic Sea ice and for ocean biogeochemistry |
Speaker: Alberto Carrassi (University of Bologna)
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| 14:00 to 14:30 |
Emerging role of machine learning in the data assimilation pipeline at NOAA
Virtual presentation |
Speaker: Sergey Frolov (NOAA PSL)
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| 14:30 to 15:00 | Coffee break | |
| 15:00 to 15:30 | RIKEN’s activities to integrate DA and AI/ML |
Speaker: Takemasa Miyoshi (RIKEN)
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| 15:30 to 16:00 | AI-DOP: Learning a medium-range weather forecast directly from observations |
Speaker: Mihai Alexe (ECMWF)
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| 16:00 to 17:00 | Panel discussion | |