ECMWF–ESA Workshop on Machine Learning for Earth Observation and Prediction
| Monday, 14 November | |||
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Registration and welcome
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Registration
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ECMWF
Reading
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1h |
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Opening
Speaker:
Massimo Bonavita
(ECMWF)
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ECMWF
Reading
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10m |
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Welcome and introduction - ECMWF
Speaker:
Andy Brown
(ECMWF)
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ECMWF
Reading
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10m |
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Welcome and introduction - ESA
Speaker:
Rochelle Schneider
(ESA Φ-lab)
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ECMWF
Reading
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10m |
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Keynotes: Machine Learning for the ESOP - setting the scene
Chair:
Massimo Bonavita
(ECMWF),
Rochelle Schneider
(ESA Φ-lab)
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An overview of AI/ML and Data Assimilation: current state of the art, challenges, and opportunities
Speaker:
Steve Penny
(Sofar Ocean Technologies)
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ECMWF
Reading
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45m |
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Representation Learning for Earth Observation and Remote Sensing
Speaker:
Damian Borth
(University of St.Gallen, Institute of Computer Science)
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ECMWF
Reading
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45m |
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Lunch and Poster session
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ECMWF
Reading
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1h 30m |
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Session 1.1 Machine Learning for Earth Observations
Chair:
Bertrand Le Saux
(ESA/ESRIN),
Patrick Laloyaux
(ECMWF)
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Remote Sensing of Floods
Speaker:
Ronny Hänsch
(DLR)
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Virtual presentation
Virtual presentation |
30m |
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Machine Learning for NASA Advanced Information Systems
Speaker:
Jacqueline Le Moigne
(NASA)
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ECMWF
Reading
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20m |
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A Deep Feed-Forward Neural Network to reconstruct the Mediterranean 3D chlorophyll-a and temperature fields from satellite measurements
Speaker:
Michela Sammartino
(ISMAR-CNR)
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Virtual presentation
Virtual presentation |
20m |
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Machine learning in (and beyond) the ESA Climate Change Initiative
Speaker:
Carsten Brockmann
(Brockmann Consult GmbH)
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Virtual presentation
Virtual presentation |
20m |
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Coffee break
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ECMWF
Reading
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30m |
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Session 1.2 Machine Learning for Earth Observations
Chair:
Alan Geer
(ECMWF),
Claudia Vitolo
(ESA)
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ML and EO for (global) mapping of the environment: discussing challenges of model extrapolation and accuracy assessment
Speaker:
Hanna Meyer
(University of Münster)
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Virtual presentation
Virtual presentation |
30m |
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Open Environmental Data Cube Europe: Analysis-ready datasets produced through ensemble machine learning
Speaker:
Leandro Parente
(OpenGeoHub)
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ECMWF
Reading
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20m |
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Meta-learning data-efficient Machine Learning Models for Diverse Earth Observation Problems
Speaker:
Marc Russwurm
(EPFL-ECEO)
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Virtual presentation
Virtual presentation |
20m |
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SyntEO: Synthetic training data generation for offshore wind energy infrastructure detection in Sentinel-1 imagery
Speaker:
Thorsten Hoeser
(German Aerospace Center)
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Virtual presentation
Virtual presentation |
20m |
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Ice breaker
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Weather Room
Weather Room |
1h |
| Tuesday, 15 November | |||
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Session 1.3 Machine Learning for Earth Observations
Chair:
Elias Holm
(ECMWF),
Rochelle Schneider
(ESA Φ-lab)
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Application of machine learning to globally model tropospheric parameters
Speaker:
Laura Crocetti
(ETH Zurich)
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ECMWF
Reading
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30m |
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Inferring High-resolution Near-surface NO2 Concentrations over Belgium through Convolutional Neural Networks
Speaker:
Wenfu Sun
(Royal Belgian Institute for Space Aeronomy)
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ECMWF
Reading
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20m |
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Segmentation of wildfires, smoke plumes, and burn scars using multi-sensor input and unsupervised and supervised machine learning for improved spatiotemporal coverage and facilitation of automated tracking
Speaker:
Nicholas LaHaye
(California Institute of Technology, Jet Propulsion Laboratory)
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ECMWF
Reading
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20m |
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STARCOP: ML models for onboard detection of methane leaks in multispectral and hyperspectral sensors
Speaker:
Vit Ruzicka
(University of Oxford)
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ECMWF
Reading
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20m |
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Coffee break
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ECMWF
Reading
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30m |
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Session 2.1 Hybrid Data Assimilation - Machine Learning
Chair:
Elias Holm
(ECMWF),
Massimo Bonavita
(ECMWF)
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Data Learning for more reliable digital twins
Speaker:
Rossella Arcucci
(Imperial College London)
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ECMWF
Reading
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30m |
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Extended Elman Network for Bayesian Data Assimilation
Speaker:
Sixin Zhang
(ENSEEIHT)
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Virtual presentation
Virtual presentation |
20m |
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Beyond one iteration of machine learning and data assimilation steps for learning meteorological models
Speaker:
Marc Bocquet
(Ecole des Ponts ParisTech)
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ECMWF
Reading
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20m |
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Burned area prediction and model parameter identification for wildfire events using machine learning techniques
Speaker:
Sibo Cheng
(Imperial College London)
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ECMWF
Reading
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20m |
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Lunch and Poster session
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ECMWF
Reading
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1h 30m |
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Session 2.2 Hybrid Data Assimilation - Machine Learning
Chair:
Alan Geer
(ECMWF),
Massimo Bonavita
(ECMWF)
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A Gentle Introduction to Creating and Evaluating Uncertainty Estimates with Neural Networks for Earth Science Applications
Speaker:
Imme Ebert-Uphoff
(Colorado State University)
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Virtual presentation
Virtual presentation |
30m |
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Can we Design NWP Data Assimilation Based Entirely on AI Techniques? Assessing Advantages and Challenges
Speaker:
Sid Boukabara
(NOAA)
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Virtual presentation
Virtual presentation |
20m |
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Online model error correction with neural networks -- towards an implementation in the ECMWF data assimilation system
Speaker:
Alban Farchi
(CEREA, ENPC)
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ECMWF
Reading
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20m |
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Seamless prediction of multiple thunderstorm hazards with deep learning
Speaker:
Jussi Leinonen
(MeteoSwiss)
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ECMWF
Reading
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20m |
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Coffee break
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ECMWF
Reading
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30m |
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Session 2.3 Hybrid Data Assimilation - ML and ML at the edge
Chair:
Alban Farchi
(CEREA, ENPC),
Marcin Chrust
(ECMWF)
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Data Assimilation with a Deep Convolutional Variational AutoEncoder
Speaker:
Philip Brohan
(Met Office)
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ECMWF
Reading
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30m |
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Latent Space Data Assimilation by Deep Learning
Speaker:
Mathis Peyron
(CERFACS)
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ECMWF
Reading
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20m |
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Quantum Technologies in Earth Observation
Speaker:
Lisa Wörner
(DLR)
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ECMWF
Reading
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20m |
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Bringing the power of quantum machine learning to Earth observation
Speaker:
Bertrand Le Saux
(ESA/ESRIN)
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ECMWF
Reading
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20m |
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Pre-dinner drinks
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Lobby
Lobby |
1h |
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Workshop dinner
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ECMWF Restaurant
ECMWF Restaurant |
2h |
| Wednesday, 16 November | |||
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Session 3.1 Machine Learning for Model emulation and Model discovery
Chair:
Marc Bocquet
(Ecole des Ponts ParisTech),
Marcin Chrust
(ECMWF)
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NWP Models with ML Components: Challenges and Perspectives
Speaker:
Vladimir Krasnopolsky
(NOAA/NCEP/EMC)
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ECMWF
Reading
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30m |
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Using GANs as high-resolution, multivariate weather generators
Speaker:
Clément Brochet
(CNRM/Ecole des Ponts Paris-Tech)
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ECMWF
Reading
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20m |
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An iterative data-driven model of an Ocean GCM
Speaker:
Rachel Furner
(University of Cambridge)
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ECMWF
Reading
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20m |
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Occam's machete: Data-driven discovery with parsimony and causal invariance
Speaker:
Dion Haefner
(Copenhagen University)
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Virtual presentation
Virtual presentation |
30m |
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Coffee break
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ECMWF
Reading
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20m |
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Session 3.2 Machine Learning for Model emulation and Model discovery
Chair:
Matthew Chantry
(ECMWF),
Patrick Laloyaux
(ECMWF)
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A physically informed recurrent neural network approach for emulating radiative transfer
Speaker:
Peter Ukkonen
(DMI)
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ECMWF
Reading
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30m |
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Temporal downscaling wind climate data using machine learning
Speaker:
Joana Mendes
(Met Office)
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ECMWF
Reading
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20m |
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Recurrent Neural Network Emulation for High Resolution Forecasting
Speaker:
Timothy Smith
(CIRES / PSL / NOAA )
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ECMWF
Reading
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20m |
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WeatherBench 2.0: A benchmark for the next generation of data-driven weather models
Speaker:
Stephan Rasp
(Google Research)
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Virtual presentation
Virtual presentation |
30m |
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Lunch break
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ECMWF
Reading
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1h 20m |
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Session 4.1 Machine Learning for user-oriented Earth Science applications
Chair:
Claudia Vitolo
(ESA),
Matthew Chantry
(ECMWF)
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Transforming ocean modeling and forecasting through AI.
Speaker:
Veronica Nieves
(University of Valencia)
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Virtual presentation
Virtual presentation |
30m |
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Causal Inference for Sustainable and Resilient Agriculture
Speaker:
Vasileios Sitokonstantinou
(National Observatory of Athens)
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ECMWF
Reading
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20m |
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Stochastic Downscaling of Precipitation Forecasts with GANs
Speaker:
Andrew McRae
(University of Oxford)
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ECMWF
Reading
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20m |
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Generative machine learning methods for multivariate ensemble post-processing
Speaker:
Sebastian Lerch
(KIT)
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ECMWF
Reading
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20m |
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Coffee break
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ECMWF
Reading
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20m |
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Session 4.2 Machine Learning for user-oriented Earth Science applications
Chair:
Bertrand Le Saux
(ESA/ESRIN),
Tobias Finn
(CEREA, École des Ponts and EDF R&D (France))
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Drought monitoring with Earth Observation Data and Machine Learning methods
Speaker:
Elif Sertel
(Istanbul Technical University)
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Virtual presentation
Virtual presentation |
30m |
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A reproducible ensemble machine learning approach to forecast dengue outbreaks
Speaker:
Alessandro Sebastianelli
(University of Sannio)
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ECMWF
Reading
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20m |
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Deep Learning for Empirical Downscaling of Earth Science gridded data
Speaker:
Carlos Alberto Gomez Gonzalez
(Barcelona Supercomputing Center)
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Virtual presentation
Virtual presentation |
20m |
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Explainable Uncertainty in Machine Learning Weather Prediction
Speaker:
David John Gagne
(National Center for Atmospheric Research)
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Virtual presentation
Virtual presentation |
20m |
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Towards flood warnings everywhere - data-driven rainfall-runoff modeling at global scale
Speaker:
Guy Shalev
(Google)
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Virtual presentation
Virtual presentation |
20m |
| Thursday, 17 November | |||
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Working Groups
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Working Group 1 - Machine Learning for Earth Observations
Speakers:
Alan Geer
(ECMWF),
Rochelle Schneider
(ESA Φ-lab)
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ECMWF
Reading
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1h 30m |
| → |
Working Group 2 - Hybrid Data Assimilation - Machine Learning
Speakers:
Marcin Chrust
(ECMWF),
Rossella Arcucci
(Imperial College London)
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ECMWF
Reading
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1h 30m |
| → |
Working Group 3 - Machine Learning for Model emulation and Model discovery
Speakers:
Massimo Bonavita
(ECMWF),
Matthew Chantry
(ECMWF)
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ECMWF
Reading
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1h 30m |
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Working Group 4 - Machine Learning for user-oriented Earth Science application
Speakers:
Bertrand Le Saux
(ESA/ESRIN),
Claudia Vitolo
(ESA),
Patrick Laloyaux
(ECMWF)
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ECMWF
Reading
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1h 30m |
| → |
Coffee break
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ECMWF
Reading
|
30m |
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Working Groups
|
|||
| → |
Working Group 1 - Machine Learning for Earth Observations
Speakers:
Alan Geer
(ECMWF),
Rochelle Schneider
(ESA Φ-lab)
|
ECMWF
Reading
|
1h 30m |
| → |
Working Group 2 - Hybrid Data Assimilation - Machine Learning
Speakers:
Marcin Chrust
(ECMWF),
Rossella Arcucci
(Imperial College London)
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ECMWF
Reading
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1h 30m |
| → |
Working Group 3 - Machine Learning for Model emulation and Model discovery
Speakers:
Massimo Bonavita
(ECMWF),
Matthew Chantry
(ECMWF)
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ECMWF
Reading
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1h 30m |
| → |
Working Group 4 - Machine Learning for user-oriented Earth Science applications
Speakers:
Bertrand Le Saux
(ESA/ESRIN),
Claudia Vitolo
(ESA),
Patrick Laloyaux
(ECMWF)
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ECMWF
Reading
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1h 30m |
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Lunch break
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ECMWF
Reading
|
1h 30m |
| → |
Session 5: Working Groups plenary discussion and close
Chair:
Massimo Bonavita
(ECMWF),
Rochelle Schneider
(ESA Φ-lab)
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1h 30m | |