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

Call for Abstracts

  • Opening day
  • Submission deadline
    No deadline

We are seeking submissions in the following formats:
- Oral presentation
- Poster presentation

We invite submissions on the following thematic areas:

1. Machine Learning for Earth System Observations
Including Retrieval Algorithms, Fast/Improved/New Forward Models, Advanced Quality Control, De-biasing Techniques

2. Machine Learning for Data Assimilation
Including Model Error Estimation and Correction, Parameter estimation, Fast linearised models for DA, Hybrid DA

3. Machine Learning for Model Identification and Development
Including Model identification, Fast Emulation of Parameterisations, Data driven Parameterisations

4. Machine Learning for Product development
Including NWP Post-processing, Non-linear Ensemble Averaging, Development of new NWP Products

Please note that submitting an abstract is NOT the same as registering for the event; this must be done separately via the registration form

The call for abstracts is open
You can submit an abstract for reviewing.