 
             
Image: EGU Flags, Kai Boggild, distributed via imaggeo.egu.eu, CC BY 3.0; EGU logo ©EGU, CC BY-ND 4.0
ECMWF is taking part in this year’s European Geosciences Union (EGU) General Assembly, from 27 April to 2 May, in Vienna (Austria) and online. The event will be an opportunity to discuss our work with scientists from across the world. Our staff are participating in a broad range of sessions, covering topics such as our Artificial Intelligence Forecasting System (AIFS), flood forecasting and tools for urban resilience.
Details of the sessions we are involved in are listed below.
Monday 28 April
- OS1.10 – Oral: Representing waves in ECMWF’s data-based forecasting system AIFS
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	Sara Hahner 8:45 to 8:55 CEST / 7:45 to 7:55 BST Room L2 Abstract: Representing waves in ECMWF’s data-based forecasting system AIFS
- AS1.1 – Oral: Anemoi: A new collaborative framework for data-driven weather forecasting
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	Ana Prieto Nemesio 8:55 to 9:05 CEST / 7:55 to 8:05 BST Room F2 Abstract: Anemoi: A new collaborative framework for data-driven weather forecasting 
- AS1.1 – Oral: The AIFS: ECMWF’s data-driven weather forecasting system (Highlight)
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	Sara Hahner and the AIFS team 9:55 to 10:15 CEST / 8:55 to 9:15 BST Room F2 Abstract: The AIFS: ECMWF’s data-driven weather forecasting system 
- ESSI1.9 – Poster: Unsupervised change detection using Sentinel-1 and Sentinel-2 imagery with the Clay Foundation Model: a case study of flood-affected areas in Valencia Spain
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	Mohanad Albughdadi 10:45 to 12:30 CEST / 09:45 to 11:30 BST Hall X4, X4.55 
- HS2.4.7 – PICO: Modernizing flood forecast data access with the CEMS Early Warning Data Store (EWDS)
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	Mohamed Azhar 10:57 to 10:59 CEST / 9:57 to 9:59 BST PICO spot A, PICOA.3 Abstract: Modernizing flood forecast data access with the CEMS Early Warning Data Store (EWDS) 
- ESSI1.6 – Session: Machine learning and digital twins for Earth system observation and prediction
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	Christian Lessig, Ilaria Luise, Massimo Bonavita (co-conveners) 14:00 to 17:55 CEST / 13:00 to 16:55 BST Room -2.92 Session details: Machine learning and digital twins for Earth system observation and prediction 
- ESSI1.6 – Oral: Developing a data-driven global ocean model at ECMWF
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	Rachel Furner 14:25 to 14:35 CEST / 13:25 to 13:35 BST Room -2.92 Abstract: Developing a data-driven global ocean model at ECMWF 
- ESSI1.6 – Oral: Development of an offline and online hybrid model for the Integrated Forecasting System
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	Marcin Chrust 14:45 to 14:55 CEST / 13:45 to 13:55 BST Room -2.92 Abstract: Development of an offline and online hybrid model for the Integrated Forecasting System 
- ESSI1.6 – Oral: Coupling approaches for data-driven Earth system models
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	Lorenzo Zampieri 15:05 to 15:15 CEST / 14:05 to 14:15 BST Room -2.92 Abstract: Coupling approaches for data-driven Earth system models 
- ESSI1.6 – Oral: Digital twin for weather-induced extremes (presentation by partner organisation)
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	Roger Randriamampianina (Norwegian Meteorological Institute) and the DestinE Extremes Digital Twin Team 16:55 to 17:05 CEST / 15:55 to 16:05 BST Room -2.92 
- AS1.1 – Oral: Using conditional verification to describe situation-dependant model biases for surface weather – Applications and implications
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	Timothy Hewson 14:00 to 14:10 CEST / 13:00 to 13:10 BST Room F2 
- HS2.2.1 – Oral: The role of sub-grid orography for global high-resolution flood forecasting
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	Jasper Denissen 14:05 to 14:25 CEST / 13:05 to 13:25 BST Room C Abstract: The role of sub-grid orography for global high-resolution flood forecasting 
- CL5.7 – PICO session: Climate Services - Underpinning Science
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	Nube Gonzalez (co-convener) 16:15 to 18:00 CEST / 15:15 to 17:00 BST PICO spot 5 Session details: Climate Services - Underpinning Science 
- CL5.7 - PICO: Advancing C3S Energy Services in support to Europe’s energy transition: co-development of the Pan-European Climate Database with ENTSO-E
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	Nube Gonzalez 16:19 to 16:21 CEST / 15:19 to 15:21 BST PICO spot 5, PICO5.3 
- BG1.4 – Oral: Global data-driven prediction of fire activity
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	Joe McNorton 17:30 to 17:40 CEST / 16:30 to 16:40 BST Room N1 
Tuesday 29 April
- ITS1.1/CL0.9 – Session: Machine learning for climate science
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	Paula Harder 8:30 to 12:25 CEST / 7:30 to 11:25 BST Room C Session details: Machine learning for climate science 
- AS1.1 – Poster: The crossing-point quantile: an optimal point-forecast in terms of ROC areas
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	Zied Ben Bouallegue 8:30 to 10:15 CEST / 7:30 to 09:15 BST Hall X5, X5.6 Abstract: The crossing-point quantile: an optimal point-forecast in terms of ROC areas 
- AS3.33 – Session: Atmospheric Composition and Numerical Weather Forecasting
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	Johannes Flemming (convener) 10:45 to 12:25 CEST / 9:45 to 11:25 BST Room M1 Session details: Atmospheric Composition and Numerical Weather Forecasting 
- AS5.2 – Poster: Developing ECMWF’s portable next-generation atmospheric dynamical core
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	Sara Faghih-Naini 10:45 to 12:30 CEST / 09:45 to 11:30 BST Hall X5, X5.104 Abstract: Developing ECMWF’s portable next-generation atmospheric dynamical core 
- AS1.2 – Oral: Recent progress and outlook for the ECMWF Integrated Forecasting System
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	Chris Roberts 14:00 to 14:20 CEST / 13:00 to 13:20 BST Room M2 Abstract: Recent progress and outlook for the ECMWF Integrated Forecasting System 
- AS3.33 – Poster: Towards the next CAMS reanalysis of atmospheric composition
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	Johannes Flemming 14:00 to 15:45 CEST / 13:00 to 14:45 BST Hall X5, X5.62 Abstract: Towards the next CAMS reanalysis of atmospheric composition 
- AS3.33 – Poster: Initial steps towards an inversion system for biogenic isoprene emissions in CAMS: Evaluation of IFS-COMPO formaldehyde simulations
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	Flora Kluge 14:00 to 15:45 CEST / 13:00 to 14:45 BST Hall X5, X5.63 
- AS3.25 – Oral: Integrating geostationary satellite data into CAMS: Insights from the CAMEO project and GEMS data assimilation
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	Zoi Paschalidi 15:10 to 15:20 CEST / 14:10 to 14:20 BST Room 0.11/12 
- AS5.5 – Oral: Towards machine learning-based Earth system models
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	Christian Lessig 16:30 to 16:50 CEST / 15:30 to 15:50 BST Room F2 Abstract: Towards machine learning-based Earth system models 
Wednesday 30 April
- CL4.7 – Session: Earth system models at km-scale and beyond: Implications of resolving smaller scale processes on the climate and challenges
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	Thomas Rackow (co-convener) 8:30 to 10:10 CEST / 7:30 to 9:10 BST Room 0.14 Session details: Earth system models at km-scale and beyond: Implications of resolving smaller scale processes on the climate and challenges 
- CL4.7 – Poster: Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4
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	Thomas Rackow 10:45–12:30 CEST / 9:45 to 11:30 BST Hall X5, X5.175 
- HS4.7 – Oral: Enhancing global flood forecasting: a methodological framework for assessing high-resolution simulations in the DestinE G-EDT
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	Maliko Tanguy 9:35 to 9:45 CEST / 8:35 to 8:45 BST Room 2.31 
- ESSI3.2 – Oral: Improving the accessibility of ECMWF open weather forecast data and charts: maintenance challenges
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	Milana Vuckovic 11:15 to 11:25 CEST / 10:15 to 10:25 BST Room -2.92 Abstract: Improving the accessibility of ECMWF open weather forecast data and charts: maintenance challenges 
- HS4.4 – PICO: Making low probability forecasts of high impact hydrological events more useful for society
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	Fatima Pillosu 11:16 to 11:18 CEST / 10:16 to 10:18 BST PICO spot 4, PICO4.13 Abstract: Making low probability forecasts of high impact hydrological events more useful for society 
- CL4.10 – Session: Explaining and predicting climate changes on regional to global scales
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	Christian Lessig, Antje Weisheimer (co-conveners) 14:00 to 18:00 CEST / 13:00 to 17:00 BST Room 0.31/32 Session details: Explaining and predicting climate changes on regional to global scales 
- ITS1.4/CL0.10 – Oral: Towards next generation machine learning-based Earth system models that exploit a wide range of datasets
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	Christian Lessig 14:55 to 15:05 CEST / 13:55 to 14:05 BST Room -2.33 
- CL4.10 – Oral: Representation of tropical and extratropical trends in ECMWF seasonal hindcasts
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	Michael Mayer 17:15 to 17:25 CEST / 16:15 to 16:25 BST Room 0.31/32 Abstract: Representation of tropical and extratropical trends in ECMWF seasonal hindcasts 
Thursday, 1 May
- AS1.7 – Session: Subseasonal-to-seasonal prediction, processes and applications
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	Chris Roberts (co-convener) 8:30 to 10:15 CEST / 7:30 to 9:15 BST Room 0.11/12 Session details: Subseasonal-to-seasonal prediction, processes and applications 
- OS4.8 – Session: Machine learning for ocean science
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	Rachel Furner (convener) 8:30 to 12:30 CEST, 14:00 to 15:45 CEST / 7:30 to 11:30 CEST, 13:00 to 14:45 BST Room -2.41/42 Session details: Machine learning for ocean science 
- EOS1.6 – PICO: Making uncertainty in sub-seasonal weather forecasts intelligible
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	Timothy Hewson 8:37 to 8:39 CEST / 7:37 to 7:39 BST PICO spot 3 | PICO3.2 Abstract: Making uncertainty in sub-seasonal weather forecasts intelligible 
- CR3.2 – Session: Advances in sea-ice modelling: developments and new techniques
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	Lorenzo Zampieri (convener) 14:00 to 15:40 CEST / 13:00 to 14:40 BST Room 1.34 Session details: Advances in sea-ice modelling: developments and new techniques 
- ESSI2.13 – Session: Big data in Earth system sciences: The challenges of data compression & data spaces in the cloud computing era
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	Sara Faghih-Naini (co-convener) 16:15 to 18:00 CEST / 15:15 to 17:00 BST Room -2.92 Session details: Big data in Earth system sciences: The challenges of data compression & data spaces in the cloud computing era 
- HS4.10 – Oral: A new era of hybrid hydrological forecasting at ECMWF
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	Gwyneth Matthews 16:20 to 16:40 CEST / 15:20 to 15:40 BST Room 3.29/30 Abstract: A new era of hybrid hydrological forecasting at ECMWF 
- OS4.7 – Oral: ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6)
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	Eric de Boisseson 15:20 to 15:30 CEST / 14:20 to 14:30 BST Room L2 Abstract: ECMWF 6th generation ocean and sea-ice reanalysis system (ORAS6) 
- HS4.3 – Oral: Error-correction across gauged and ungauged locations: A data assimilation-inspired approach to post-processing river discharge ensembles
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	Gwyneth Matthews 15:05 to 15:15 CEST / 14:05 to 14:15 BST Room 3.29/30 
Friday, 2 May
- ESSI2.15 – Poster: Advancing Earth system science through collaboration: An overview of ECMWF Special Projects
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	Milana Vuckovic 10:45 to 12:30 CEST / 9:45 to 11:30 BST Hall X4 | X4.142 Abstract: Advancing Earth system science through collaboration: An overview of ECMWF Special Projects 
- OS4.6 – Poster: Effects of Argo floats data on the ECMWF Ocean DA system and coupled forecasts
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	Hao Zuo et al.; presented by Eric de Boisseson 8:30 to 10:15 CEST / 7:30 to 9:15 BST Hall X4 | X4.75 Abstract: Effects of Argo floats data on the ECMWF Ocean DA system and coupled forecasts 
- ESSI2.15 – Poster: Co-creating cloud-based tools for urban climate-resilience: The CLIMRES project
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	Claudio Pisa 10:45 to 12:30 CEST / 9:45 to 11:30 BST Hall X4 Abstract: Co-creating cloud-based tools for urban climate-resilience: The CLIMRES project 
- ESSI2.15 – Poster: Cloud-powered Earth observation tools for urban resilience: The BUILDSPACE project
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	Marica Antonacci 10:45 to 12:30 CEST / 9:45 to 11:30 BST Hall X4 Abstract: Cloud-powered Earth observation tools for urban resilience: The BUILDSPACE project 
- ESSI2.15 – Session: Seamless transitioning between HPC and cloud in support of Earth Observation, Earth Modeling and community-driven Geoscience approach PANGEO
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	Vasileios Baousis (co-convener) 14:00 to 15:43 CEST, 16:15 to 18:00 CEST / 13:00 to 14:43 CEST, 15:15 to 17:00 BST Room -2.32 Session details: Seamless transitioning between HPC and cloud in support of Earth Observation, Earth Modeling and community-driven Geoscience approach PANGEO 
- ESSI2.15 – Oral: Copernicus data and services uptake with EO4EU platform: an AI-augmented ecosystem for Earth Observation data accessibility and exploitation
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	Federico Fornari 14:02 to 14:12 CEST / 13:02 to 13:12 BST Room -2.32 
- ITS1.16/AS5.4 – Oral: Global location transferability of generative deep learning models for precipitation downscaling
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	Paula Harder 16:45 to 16:55 CEST / 15:45 to 15:55 BST Room -2.33 Abstract: Global location transferability of generative deep learning models for precipitation downscaling 
 
  
Many ECMWF scientists are taking part in this year's EGU General Assembly.
