ESA-ECMWF Workshop 2021 Machine Learning for Earth System Observation and Prediction
| Monday, 15 November | |||
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Opening
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Welcome and introduction ESA
Speaker:
Pierre-Philippe Mathieu
(ESA)
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Virtual |
15m |
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Welcome and introduction ECMWF
Speaker:
Andy Brown
(ECMWF)
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Virtual |
15m |
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Keynote: ML for the ESOP - Setting the scene
Chair:
Rochelle Schneider
(ESA)
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Machine learning on the Earth System with remote sensing: towards machines that we can understand and interact with
Speaker:
Devis Tuia
(EPFL)
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Virtual |
45m |
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Combining data assimilation and machine learning to extract more information from earth observations
Speaker:
Alan Geer
(ECMWF)
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Virtual |
45m |
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Poster session
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Virtual |
1h 30m |
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Session 1.1: Enhancing Satellite Observation with ML
Chair:
Bertrand Le Saux
(ESA)
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Benefits and opportunities of Explainable Machine Learning in the environmental sciences
Speaker:
Ribana Roscher
(Technical University of Munich and University of Bonn)
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Virtual |
30m |
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Atmospheric Retrievals in a Machine Learning Context: A Radiometric Story Over the Ocean
Speaker:
Mario Echeverri Bautista
(KNMI)
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Virtual |
30m |
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Permutation invariance and uncertainty in multitemporal image super-resolution
Speaker:
Diego Valsesia
(Politecnico di Torino)
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Virtual |
30m |
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Coffee break
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Virtual |
30m |
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Session 1.2: Enhancing Satellite Observation with ML
Chair:
Rochelle Schneider
(ESA)
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CNN-based Detection of Tiny Objects in Remote Areas Using Spatiotemporal Earth Observation Data
Speaker:
Roman Pflugfelder
(AIT - Austrian Institute of Technology )
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Virtual |
30m |
| → |
Estimate of XCO2 from OCO-2 Observations Using a Neural Network Approach
Speaker:
Francois-Marie Breon
(CEA/LSCE)
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Virtual |
30m |
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Autonomous Robotic Teams, Machine Learning, and the Next Generation of Earth Observing System
Speaker:
David Lary
(Hanson Center for Space Sciences, University of Texas at Dallas)
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Virtual |
30m |
| Tuesday, 16 November | |||
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Session 1.3: Enhancing Satellite Observation with ML
Chair:
Begüm Demir
(TU Berlin)
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Free High Resolution Imagery - Open-Source Models and Package for Sentinel 2 Super-Resolution
Speaker:
Julien Cornebise
(UCL)
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Virtual |
30m |
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Deep Learning Implementations to Facilitate the Assimilation of Satellite Observations. A Case Study for LST and SST Using IASI Observations
Speaker:
Eulalie Boucher
(Lerma - Observatoire de Paris)
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Virtual |
30m |
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Machine Learning Techniques for Automated ULF Wave Recognition in Swarm Time Series
Speaker:
Georgios Balasis
(National Observatory of Athens)
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Virtual |
30m |
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Coffee break
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Virtual |
30m |
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Session 2.1: Hybrid Data Assimilation - ML Approaches
Chair:
Alan Geer
(ECMWF)
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Data Assimilation + Machine Learning = Data Learning
Speaker:
Rossella Arcucci
(Imperial College London)
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Virtual |
30m |
| → |
Use of AI to facilitate the NWP assimilation of EOs: retrieval, radiative transfer and physical integration of satellite products
Speaker:
Filipe Aires
(CNRS)
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Virtual |
30m |
| → |
Gaussian Assimilation of non-Gaussian Image Data via Pre-Processing by Variational Auto-Encoder (VAE)
Speaker:
Daisuke Hotta
(JMA)
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Virtual |
30m |
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Correcting model error with an online Artificial Neural Network
Speaker:
Marcin Chrust
(ECMWF)
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Virtual |
30m |
| → |
Lunch break
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Virtual |
1h |
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Session 2.2: Hybrid Data Assimilation - ML Approaches
Chair:
Rossella Arcucci
(Imperial College London)
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Model error correction with data assimilation and machine learning
Speaker:
Alban Farchi
(CEREA, ENPC)
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Virtual |
30m |
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Towards the Direct Assimilation of Scatterometer Backscatter Triplet
Speaker:
Sean Healy
(ECMWF)
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Virtual |
30m |
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Data-Driven Surrogate Model with Latent Data assimilation for Wildfire Forecasting
Speaker:
Sibo Cheng
(Imperial College London)
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Virtual |
30m |
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Coffee break
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Virtual |
30m |
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Session 3.1: Geophysical Forecasting with ML and Hybrid Models
Chair:
Anca Anghelea
(ESA)
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Neural-Network Parametrization of Subgrid Momentum Transport Learned from a High-Resolution Simulation
Speaker:
Janni Yuval
(MIT)
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Virtual |
30m |
| → |
Machine learning based climate modelling and analysis
Speaker:
Veronika Eyring
(DLR and University of Bremen)
|
Virtual |
30m |
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Atmospheric Physics-Guided Machine Learning: Towards Physically-Consistent, Data-Driven, and Interpretable Models of Convection
Speaker:
Tom Beucler
(University of Lausanne)
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Virtual |
30m |
| → |
Seamless rainfall forecast using encoder-decoder networks: bridging weather and interannual forecast horizons
Speaker:
Gabriel Martins Palma Perez
(University of Reading)
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Virtual |
30m |
| Wednesday, 17 November | |||
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Session 3.2: Geophysical Forecasting with ML and Hybrid Models
Chair:
Marc Bocquet
(ENPC)
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Learning parameters of a numerical model from observations
Speaker:
Tijana Janjic
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Virtual |
30m |
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Machine Learning for Seamless Thunderstorm Nowcasting from Multiple Data Sources
Speaker:
Jussi Leinonen
(MeteoSwiss)
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Virtual |
30m |
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Smartriver: Artificial Intelligence for Effective Water Resoures Forecast and Management
Speaker:
Stefano Bagli
(Gecosistema)
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Virtual |
30m |
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Coffee break
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Virtual |
30m |
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Session 4.1: ML for Post-Processing and Dissemination
Chair:
Gustau Camps Vals
(IPL - Universitat de Valencia)
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Post-processing of precipitation with Bernstein quantile distribution networks
Speaker:
John Bjørnar Bremnes
(Norwegian Meteorological Institute)
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Virtual |
30m |
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Machine Learning-Based Post-Process Correction of the High-Resoulution Multi-Wavelength Sentinel-3 Synergy Aerosol Product
Speaker:
Antti Lipponen
(Finnish Meteorological Institute)
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Virtual |
30m |
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Integrating Reanalysis and Satellite Cloud Information to Estimate Downward Long-wave Radiation Fluxes Using Multivariate Adaptive Regression Splines: Application to EUMETSAT LSA-SAF
Speaker:
Francisco Lopes
(Instituto Dom Luis)
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Virtual |
30m |
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A spatiotemporal ensemble machine learning framework for predictive mapping: One model to rule them all?
Speaker:
Tom Hengl
(OpenGeoHub Foundation)
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Virtual |
30m |
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Lunch break
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Virtual |
1h |
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Session 4.2: ML for Post-Processing and Dissemination
Chair:
Claudia Vitolo
(ESA)
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Using Convolutional Neural Networks to Detect Emissions Plumes from TROPOMI Data
Speaker:
Douglas Finch
(University of Edinburgh)
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Virtual |
30m |
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Downscaling air pollution levels by fusing Geospatial Vector Data and Sentinel 5P observations over Europe
Speaker:
Marvin Mc Cutchan
(IARAI and TU Wien)
|
Virtual |
30m |
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The Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks
Speaker:
Tobias Finn
(Universität Hamburg)
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Virtual |
30m |
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Coffee break
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Virtual |
30m |
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Session 4.3: ML for Post-Processing and Dissemination
Chair:
Peter Dueben
(ECMWF)
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How Earth Observations and Machine Learning are Supporting Agricultural Monitoring and Food Security Globally
Speaker:
Catherine Nakalembe
(University of Maryland and NASA Harvest)
|
Virtual |
30m |
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Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
Speaker:
Siddha Ganju
(NVIDIA, SpaceML, FDL)
|
Virtual |
30m |
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Description of Working Group
Speaker:
Massimo Bonavita
(ECMWF)
|
Virtual |
30m |
| Thursday, 18 November | |||
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Working Groups - Thematic areas
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WG1 - Enhancing Satellite Observations with ML - chaired by Begüm Demir and Bertrand Le Saux
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Virtual |
1h 30m |
| → |
WG2 - Hybrid Data Assimilation - ML Approaches - chaired by Rossella Arcucci and Alan Geer
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Virtual |
1h 30m |
| → |
WG3 - Geophysical Forecasting with ML and Hybrid Models - chaired by Claudia Vitolo and Peter Dueben
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Virtual |
1h 30m |
| → |
WG4 - ML for Post-Processing and Dissemination - chaired by Rochelle Schneider and Massimo Bonavita
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Virtual |
1h 30m |
| → |
Coffee break
|
Virtual |
30m |
| → |
WG1 - Enhancing Satellite Observations with ML - chaired by Begüm Demir and Bertrand Le Saux
|
Virtual |
1h |
| → |
WG2 - Hybrid Data Assimilation - ML Approaches - chaired by Rossella Arcucci and Alan Geer
|
Virtual |
1h |
| → |
WG3 - Geophysical Forecasting with ML and Hybrid Models - chaired by Claudia Vitolo and Peter Dueben
|
Virtual |
1h |
| → |
WG4 - ML for Post-Processing and Dissemination - chaired by Rochelle Schneider and Massimo Bonavita
|
Virtual |
1h |
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WG Chairs finalise reports
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Virtual |
1h |
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Lunch break
|
Virtual |
1h |
| → |
Session 5: Working Groups plenary discussion and close
Chair:
Massimo Bonavita
(ECMWF)
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1h 30m | |