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