Programme
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| Wednesday, 9 April 2025 | ||
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| 07:30 to 08:00 | Registration | |
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Session 1: Algorithms, Observations, Predictability
Chair: TBD
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| 08:00 to 08:30 | Data Assimilation: Initial conditions and beyond |
Speaker: Massimo Bonavita (ECMWF)
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| 08:30 to 09:00 | On the role of the tropics in global predictability |
Speaker: Nedjeljka Zagar (University of Hamburg)
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| 09:00 to 09:30 | Towards higher spatial and temporal resolution data assimilation in ECMWF IFS |
Speaker: Emiliano Orlandi
Speaker: Ziga Zaplotnik
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| 09:30 to 10:00 | Coffee break | |
| 10:00 to 10:30 | Title TBC |
Speaker: Christina Koepken-Watts (DWD)
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| 10:30 to 11:00 | Title TBC |
Speaker: Loik Berrre (Meteo 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 | |
| 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: Phil Browne (ECMWF)
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| 14:00 to 14:30 | Coffee break | |
| 14:30 to 15:00 | Present and future observational landscape in Numerical Weather Prediction |
Speaker: Angela Benedetti (ECMWF)
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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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| 16:00 to 17:00 | Poster session | |
Agenda times display according to the selected time zone
| Thursday, 9 April 2025 | ||
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Session 2: Hybrid Data assimilation-Machine learning
Chair: TBC |
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| 08:00 to 08:00 | Machine learning for data assimilation |
Speaker: Marc Bocquet (Ecole des Ponts ParisTech)
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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 (CEREA, ENPC)
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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| 10:39 to 11:00 | Title TBC |
Speaker: Vincent Chabot (Meteo 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 | |
| 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)
Speaker: Charlotte Durand (CEREA - Ecole des Ponts)
Speaker: Chris Jones (University of North Carolina)
Speaker: Flavia Porro (University of Bologna)
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| 14:00 to 14:30 | Emerging role of machine learning in the data assimilation pipeline at NOAA |
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 | |