Virtual Event: ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction

Monday, 5 October
11:00 AM 11:15 AM
Welcome and introduction - ECMWF
Speaker: Andy Brown (ECMWF)

ECMWF

Virtual
15m
11:15 AM 11:30 AM
Welcome and introduction - ESA
Speaker: Pierre-Philippe Mathieu (ESA)

ECMWF

Virtual
15m
Session 1: ML for the Earth System - Setting the scene
Chair: Massimo Bonavita (ECMWF)
11:30 AM 12:15 PM
Accelerating and Explaining Earth System Process Models with Machine Learning
Speaker: David Gagne (National Center for Atmospheric Research)

ECMWF

Virtual
45m
12:15 PM 1:00 PM
Learning from earth system observations: machine learning or data assimilation?
Speaker: Alan Geer (ECMWF)

ECMWF

Virtual
45m
1:00 PM 2:00 PM
Lunch break

ECMWF

Virtual
1h
Session 2: ML for Earth System Observations
Chair: Bertrand Le Saux (ESA)
2:00 PM 2:30 PM
The Rise of AI for EO
Speaker: Pierre-Philippe Mathieu (ESA)

ECMWF

Virtual
30m
2:30 PM 3:00 PM
Leveraging Modern AI/ML Techniques in NWP Including Data Fusion/Assimilation
Speaker: Sid Boukabara (NOAA)

ECMWF

Virtual
30m
3:00 PM 3:30 PM
Exploring the Frontiers of Deep Learning for Earth System Observation and Prediction
Speaker: David Hall (NVIDIA)

ECMWF

Virtual
30m
3:30 PM 4:00 PM
Coffee break

ECMWF

Virtual
30m
Session 2 (cont.): ML for Earth System Observations
Chair: Peter Dueben (ECMWF)
4:00 PM 4:30 PM
On the Interpretation of Neural Networks Trained for Meteorological Applications
Speaker: Imme Ebert-Uphoff (Colorado State University)

ECMWF

Virtual
30m
4:30 PM 5:00 PM
Deep Hashing for Scalable Remote Sensing Image Retrieval in Large Archives
Speaker: Begüm Demir (TU Berlin)

ECMWF

Virtual
30m
5:00 PM 6:30 PM
Poster session
1h 30m
Tuesday, 6 October
Session 2 (cont.): ML for Earth System Observations
Chair: Susanne Mecklenburg (ESA)
9:00 AM 9:30 AM
Using Machine Learning to advance hour-scale heavy rain forecast with high resolution ECMWF Global Model and Local Meso-scale Model Forecasts
Speaker: Qi Zhong (China Meteorological Administration Training Centre)

ECMWF

Virtual
30m
9:30 AM 10:00 AM
Artificial Intelligence in ESA Contribution to the United Nations Framework Convention on Climate Change (UNFCCC) : An Overview
Speakers: Eduardo Pechorro (ESA Climate Office), Amy Campbell (National Oceanography Centre Graduate School)

ECMWF

Virtual
30m
10:00 AM 10:30 AM
Neural network products in land surface data assimilation
Speaker: Peter Weston (ECMWF)

ECMWF

Virtual
30m
10:30 AM 11:00 AM
Coffee break

ECMWF

Virtual
30m
Session 3: ML for Data Assimilation
Chair: Alan Geer (ECMWF)
11:00 AM 11:30 AM
Big Data, Big Computation, and Machine Learning in Numerical Weather Prediction
Speaker: Takemasa Miyoshi (RIKEN)

ECMWF

Virtual
30m
11:30 AM 12:00 PM
Artificial Neural Network at the service of Data Assimilation (and vice versa)
Speaker: Rossella Arcucci (Imperial College London)

ECMWF

Virtual
30m
12:00 PM 12:30 PM
Using machine learning and data assimilation to learn both dynamics and state
Speaker: Marc Bocquet (Ecole des Ponts ParisTech)

ECMWF

Virtual
30m
12:30 PM 1:00 PM
Combining data assimilation and machine learning to emulate hidden dynamics and to infer unresolved scale pametrisation.
Speaker: Alberto Carrassi (University of Reading and NCEO (UK); University of Utrecht (NL))

ECMWF

Virtual
30m
1:00 PM 2:00 PM
Lunch

ECMWF

Virtual
1h
Session 3 (cont.): ML for Data Assimilation
Chair: Peter Lean (ECMWF)
2:00 PM 2:30 PM
Data Assimilation and Machine Learning Science at ECMWF
Speaker: Massimo Bonavita (ECMWF)

ECMWF

Virtual
30m
2:30 PM 3:00 PM
Joint learning of variational data assimilation models and solvers
Speaker: Ronan Fablet (IMT Atlantique)

ECMWF

Virtual
30m
3:00 PM 3:30 PM
Hyperparameter learning in data assimilation systems
Speaker: Manuel Pulido (Universidad Nacional del Nordeste)

ECMWF

Virtual
30m
3:30 PM 4:00 PM
Coffee break

ECMWF

Virtual
30m
Session 3 (cont.) and Session 4: ML for Data Assimilation and ML for Product Development
Chair: Marcin Chrust (ECMWF)
4:00 PM 4:30 PM
Bayesian Deep Learning for Data Assimilation
Speaker: Peter Jan van Leeuwen (Colorado State University)

ECMWF

Virtual
30m
4:30 PM 5:00 PM
Machine Learning for Applied Weather Prediction
Speaker: Sue Ellen Haupt (National Center for Atmospheric Research)

ECMWF

Virtual
30m
5:00 PM 5:30 PM
Deep Unsupervised Learning for Climate Informatics
Speaker: Claire Monteleoni (University of Colorado)

ECMWF

Virtual
30m
5:30 PM 6:00 PM
Deep Learning for Post-Processing Ensemble Weather Forecasts
Speaker: Nikoli Dryden (ETH Zurich)

ECMWF

Virtual
30m
Wednesday, 7 October
Session 4 (cont.): ML for Product Development
Chair: Bertrand Le Saux (ESA/ESRIN)
9:00 AM 9:30 AM
Automatic detection of weather events in high-resolution NWP outputs
Speaker: Laure Raynaud (Météo-France)

ECMWF

Virtual
30m
9:30 AM 10:00 AM
Machine learning at ECMWF
Speaker: Peter Dueben (ECMWF)

ECMWF

Virtual
30m
10:00 AM 10:30 AM
Probabilistic Deep Learning for Postprocessing Wind Forecasts in Complex Terrain
Speaker: Daniele Nerini (MeteoSwiss)

ECMWF

Virtual
30m
10:30 AM 11:00 AM
Coffee break

ECMWF

Virtual
30m
Session 4 (cont.) and Session 5: ML for Product Development and ML for Model Identification and development
Chair: Sveinung Loekken (ESA)
11:00 AM 11:30 AM
Significance-tested and physically constrained interpretation of a deep-learning model for tornadoes
Speaker: Ryan Lagerquist (Cooperative Institute for Research in the Atmosphere (CIRA))

ECMWF

Virtual
30m
11:30 AM 12:00 PM
Neural Networks for Postprocessing Ensemble Weather Forecasts
Speaker: Sebastian Lerch (Karlsruher Institut für Technologie (KIT))

ECMWF

Virtual
30m
12:00 PM 12:30 PM
Towards an end-to-end data-driven weather model
Speaker: Duncan Watson-Parris (University of Oxford)

ECMWF

Virtual
30m
12:30 PM 1:00 PM
Emulation of gravity wave parameterisation in weather forecasting
Speaker: Matthew Chantry (University of Oxford)

ECMWF

Virtual
30m
1:00 PM 2:00 PM
Lunch break

ECMWF

Virtual
1h
Session 5 (cont.): ML for Model Identification and development
Chair: Massimo Bonavita (ECMWF)
2:00 PM 2:30 PM
Physics Guided Machine Learning: A New Framework for Accelerating Scientific Discovery
Speaker: Vipin Kumar (University of Minnesota)

ECMWF

Virtual
30m
2:30 PM 3:00 PM
Assessing Machine Learning Approaches for Physical Parameterizations in Atmospheric General Circulation Models
Speaker: Christiane Jablonowski (University of Michigan)

ECMWF

Virtual
30m
3:00 PM 3:30 PM
Model optimization with a genetic algorithm
Speaker: Pieter Houtekamer (Environment and Climate Change Canada)

ECMWF

Virtual
30m
3:30 PM 4:00 PM
Coffee break

ECMWF

Virtual
30m
Session 5 (cont.): ML for Model Identification and development
Chair: Peter Jan van Leeuwen (Colorado State University)
4:00 PM 4:30 PM
Analog Forecasting of Extreme‐Causing Weather Patterns Using Deep Learning
Speaker: Ashesh Chattopadhyay (Rice University)

ECMWF

Virtual
30m
4:30 PM 5:00 PM
What If The Easiest Part of the Global Atmospheric System For Machines To Learn Is The Dynamics?
Speaker: Dale Durran (University of Washington)

ECMWF

Virtual
30m
5:00 PM 5:30 PM
S2S forecasting using large ensembles of data-driven global weather prediction models
Speaker: Jonathan Weyn (University of Washington)

ECMWF

Virtual
30m
5:30 PM 6:00 PM
Description of Working Groups
Speaker: Massimo Bonavita (ECMWF)

ECMWF

Virtual
30m
Thursday, 8 October
Working groups
9:00 AM 10:30 AM
WG1 (Observations) chaired by Alan Geer (ECMWF) and Bertrand Le Saux (ESA/ESRIN)

ECMWF

Virtual
1h 30m
9:00 AM 10:30 AM
WG2 (Data Assimilation) chaired by Alberto Carrassi (Univ. of Reading) and Rosella Arcucci (Imperial College)

ECMWF

Virtual
1h 30m
9:00 AM 10:30 AM
WG3 (Models) chaired by Massimo Bonavita (ECMWF) and Peter Dueben (ECMWF)

ECMWF

Virtual
1h 30m
9:00 AM 10:30 AM
WG4 (Ensembles, Product Generation) chaired by Laure Raynaud (Météo-France) and Nicolas Longepe (ESA)

ECMWF

Virtual
1h 30m
10:30 AM 11:00 AM
Coffee break

ECMWF

Virtual
30m
Working groups
11:00 AM 12:30 PM
WG1 (Observations) chaired by Alan Geer (ECMWF) and Bertrand Le Saux (ESA/ESRIN)

ECMWF

Virtual
1h 30m
11:00 AM 12:30 PM
WG2 (Data Assimilation) chaired by Alberto Carrassi (Univ. of Reading) and Rosella Arcucci (Imperial College)

ECMWF

Virtual
1h 30m
11:00 AM 12:30 PM
WG3 (Models) chaired by Massimo Bonavita (ECMWF) and Peter Dueben (ECMWF)

ECMWF

Virtual
1h 30m
11:00 AM 12:30 PM
WG4 (Ensembles, Product Generation) chaired by Laure Raynaud (Météo-France) and Nicolas Longepe (ESA)

ECMWF

Virtual
1h 30m
12:30 PM 1:00 PM
WG chairs finalise reports
30m
1:00 PM 2:00 PM
Lunch break

ECMWF

Virtual
1h
2:00 PM 3:30 PM
Working Groups plenary discussion and close
Chair: Massimo Bonavita (ECMWF)
1h 30m

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