ESA-ECMWF WORKSHOP
7 - 10 May 2024| ESA-ESRIN
Agenda
Please find below the agenda of the workshop. Time-slots are indicated in Central European Time (CET)
| Tuesday, 07 May (no live streaming) | |||||
| Start | End | Site | Min | ||
| 15:00 | 16:00 | Arrival of poster presenters - Poster Session 1 | |||
| 16:00 | 19:00 | Poster Session 1 and Icebreaker | 150 | ||
| Wednesday, 08 May (live streaming) | |||||
| 09:00 | 09:10 | Opening Chair: Rochelle Schneider (ESA), Massimo Bonavita (ECMWF) | 10 | ||
| 09:10 | 09:20 | on-site | ESA Welcome Rochelle Schneider (ESA) | 10 | |
| 09:20 | 09:30 | online | ECMWF Welcome Andy Brown (ECMWF) | 10 | |
| 09:30 | 10:15 | on-site | Keynote speaker Prof. Xiaoxiang Zhu (Chair professor for Data Science in Earth Observation TUM) | 45 | |
| 10:15 | 11:00 | on-site | Keynote speaker Prof. Martin Schultz (Professor in Computational Earth System Science at the University Cologne) | 45 | |
| 11:00 | 11:20 | Coffee Break | 20 | ||
| Session 1.1 (TA5): New Generation Computing for AI (HPC, edge and quantum computing) Chairs: Alessandro Sebastianelli (ESA) and Marcin Chrust (ECMWF) | |||||
| 11:20 | 11:40 | online | MARS-S2L: machine learning for operational CH4 super emitter detection at UNEP's IMEO Anna Vaughan (UNEP) | 20 | |
| 11:40 | 12:00 | on-site | NVIDIA HPC Trends in AI for Earth System Science David Hall (NVIDIA) | 20 | |
| 12:00 | 12:20 | on-site | Machine Learning for Very Low-Latency Storm Nowcasting with Onboard Satellite Processing: EO-ALERT Final Results Álvaro Morón Elorza (Deimos Space) | 20 | |
| 12:20 | 12:40 | on-site | The Earth Observation Training Data Lab Juan Pedro B. (EarthPulse) | 20 | |
| 12:40 | 13:00 | on-site | Quantum Advances in Earth Observation: Unlocking the Potential of Quantum Machine Learning Algorithms Francesco Mauro (University of Sannio) | 20 | |
| 13:00 | 13:30 | Working Group Discussion | 30 | ||
| 13:30 | 14:30 | Lunch Break | 60 | ||
| Session 1.2 (TA2): Multidomain ML4ESOP Chair: Maryam Pourshamsi (ESA) and Anna Jungbluth (ESA) | |||||
| 14:30 | 15:00 | on-site | Global AI-Powered School Connectivity Prediction with Earth Observation & Modelling Priority Areas for Improving Global School Access: A Geostatistical Machine Learning Approach Kelsey Doerksen and Abi RIley (UNICEF & ESA) | 30 | |
| 15:00 | 15:20 | on-site | Improved situational awareness along power lines using satellite imagery and machine learning Michele Gazzea (Stormgeo AS) | 20 | |
| 15:20 | 15:40 | on-site | Observing cloud vertical structure in geostationary satellites: advances using a one-dimensional temporal convolution in deep learning Mathilde Ritman (University of Oxford) | 20 | |
| 15:40 | 16:00 | on-site | Advancing the Study of Extreme Weather Events with Data, Deep Learning Methods and Climate Analysis Sol Kim (University of Chicago) | 20 | |
| 16:00 | 16:20 | on-site | Towards the inversion of plumes from power plants and industrial sites in satellite CO2 images using deep neural networks Joffrey Dumont Le Brazidec (ECMWF) | 20 | |
| 16:20 | 16:30 | Coffee Break | 10 | ||
| 16:30 | 16:50 | on-site | Enhancing Earth Observation Feature Identification with Transfer Learning and Community-Driven Tools Roope Tervo (EUMETSAT) | 20 | |
| 16:50 | 17:10 | on-site | Integrated machine learning approaches for volcanic cloud tracking in EUMETSAT SEVIRI images Federica Torrisi (INGV, Catania) | 20 | |
| 17:10 | 17:30 | on-site | Antarctic Sea ice detection using concurrent multispectral and synthetic aperture radar imagery. Martin Rogers (British Antarctic Survey) | 20 | |
| 17:30 | 17:50 | on-site | Detection and source-attribution of methane super-emitter plumes using Deep Learning Berend Schuit (SRON Netherlands Inst4Space) | 20 | |
| 17:50 | 18:10 | on-site | Biomass estimation and modeling using Machine Learning and Remote Sensing Hanan Abdul (Western Norway) | 20 | |
| 18:10 | 18:30 | online | Forecasting Permafrost Carbon Dynamics in Alaska with GeoCryoAI Gay Bradley (NASA JPL) | 20 | |
| 18:30 | 18:50 | Working Group Discussion | |||
| Thursday, 09 May (live streaming) | |||||
| Session 2.1 (TA3): End-to-End ML4Weather and Climate Prediction Chair: Matthew Chantry (ECMWF) and Mihai Alexe (ECMWF) | |||||
| 09:00 | 09:30 | on-site | AIFS – ECMWF’s Data-Driven Probabilistic Forecasting System Mihai Alexe (ECMWF) | 30 | |
| 09:30 | 09:50 | on-site | WeatherBench 2 - Updates on the state-of-the-art in AI-weather models Stephen Rasp (Google Research) | 20 | |
| 09:50 | 10:10 | on-site | A Graph-Based Latent Variable Model for Probabilistic Weather Forecasting Joel Oskarsson (Linköping University) | 20 | |
| 10:10 | 10:30 | on-site | GTPCast: Explainable generative AI for precipitation nowcasting Gabriele Franch (Fondazione Bruno Kessler) | 20 | |
| 10:30 | 10:50 | on-site | Data-driven sea-ice modelling with generative deep learning Tobias Finn (CEREA, ENPC) | 20 | |
| 10:50 | 11:10 | on-site | Improving cross-site generalizability of vision-based solar forecasting models with physics-informed transfer learning Quentin Paletta (ESA) | 20 | |
| 11:10 | 11:20 | Coffee Break Recording | 10 | ||
| 11:20 | 11:40 | online | Why are machine learning forecast systems so fast? Christopher Subich (Environment and Climate Change Canada) | 20 | |
| 11:40 | 12:00 | on-site | Emulating 3D-Var data assimilation using autoencoder-like methods Boštjan Melinc (University of Ljubljana) | 20 | |
| 12:00 | 12:20 | on-site | AtmoRep: a probabilistic foundation model for atmospheric dynamics Ilaria Luise (CERN) | 20 | |
| 12:20 | 12:40 | on-site | Hybrid physical-data driven and surrogatesea-ice modelling Alberto Carassi (University of Bologna) | 20 | |
| 12:40 | 13:00 | on-site | AI-based weather and climate prediction with NeuralGCM and beyond Stephan Hoyer (Google Research) | 20 | |
| 13:00 | 13:30 | Working Group Discussion | 30 | ||
| 13:30 | 14:30 | Lunch Break | 60 | ||
| Session 2.2 (TA1): ML4DestinE Chair: Rochelle schneider (ESA) and Mariana Clare (ECMWF) | |||||
| 14:30 | 14:50 | on-site | AI4DESP: Unblocking Artificial Intelligence power to explore potential and challenges in Destination Earth Service Platform. Tona Calogera talk by Gaia Cipolletta (ESA & SERCO) | 20 | |
| 14:50 | 15:10 | on-site | Machine Learning and the DestinE digital twins Mariana Clare (ECMWF) | 20 | |
| 15:10 | 15:30 | on-site | Destination Earth Data Lake unlocking big earth data processing with AI/ML capabilities Michael Schick (EUMETSAT) | 20 | |
| 15:30 | 15:40 | Coffee Break Recording | 10 | ||
| 15:40 | 16:00 | hybrid | Guiding Principles and Concepts for the use of AI in DTEs Louise Mercy talk by Jonny Langstone (Telespazio UK) | 20 | |
| 16:00 | 16:20 | on-site | Towards Forest Digital Twin: Deep Learning-based Tree Height Estimation using Monocular Multimodal Satellite Data Meruyert Kenzhebay (Western Norway University Of Applied Sciences) | 20 | |
| 16:20 | 16:40 | online | Gradient boosting-based soil wetness for forestry climate adaptation in HarvesterSeasons service -training a model to forecast soil water index SWI from a comprehensive set of IFS model predictors in Destination Earth Mikko Strahlendorff (Finnish Meteorological Institute) | 20 | |
| 16:40 | 17:10 | Working Group Discussion | 30 | ||
| 17:10 | 19:10 | Poster Session 2 and Icebreaker | 120 | ||
| Friday, 10 May (live streaming) | |||||
| Session 3.1 (TA4): Hybrid ML-NWP/Climate Chair: Massimo Bonavita (ECMWF) and Patrick Ebel (ESA) | |||||
| 09:40 | 10:00 | on-site | Online model error correction with neural networks - from theory to the ECMWF forecasting system Alban Farchi (ENPC) | 20 | |
| 10:00 | 10:20 | on-site | On the potential and limitations of data-drivenforecast models Massimo Bonavita (ECMWF) | 20 | |
| 10:20 | 10:40 | on-site | Summer drought prediction in Europe through hybrid climate simulations and remote sensing Laia Romero (Lobelia Earth) | 20 | |
| 10:40 | 11:00 | on-site | Role of Large- and Small-Scale Dynamics on Tropical Convective Rainfall in DYAMOND Models Lucile Richard (EPFL) | 20 | |
| 11:00 | 11:10 | Coffee Break Recording | 10 | ||
| 11:10 | 11:40 | on-site | ML applications for forecasting - some orientation in a rapidly changing landscape Olivia Martius (University of Bern) | 30 | |
| 11:40 | 12:00 | online | Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes Eviatar Bach (CalTech) | 20 | |
| 12:00 | 12:20 | on-site | Score-based generative modeling meets data assimilation François Rozet (University of Liège) | 20 | |
| 12:20 | 12:40 | on-site | Complex network and machine learning to improve marine ecosystem modelling and data assimilation Ieuan Higgs (University of Reading) | 20 | |
| 12:40 | 13:00 | on-site | Machine Learning-Based Observation Operators to Assimilate Microwave and SIF SatelliteObservations into the ECMWF Integrated Forecast System Sebastien Garrigues (ECMWF) | 20 | |
| 13:00 | 13:30 | Working Group Discussion Recording | 30 | ||
| 13:30 | 14:30 | Lunch Break | 60 | ||
| 14:30 | 15:30 | Working Groups plenary discussion and close | 60 | ||