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Spatial Source

https://www.spatialsource.com.au

Australia/Sydney

2026-04-05T03:00:00

2027-04-04T03:00:00

AEST

+11:00

+10:00

2025-10-05T02:00:00

2026-10-04T02:00:00

2027-10-03T02:00:00

AEDT

+10:00

+11:00

ai1ec-45686@www.spatialsource.com.au

2026-04-20T18:53:00Z

Machine Learning for Earth System Observation and Prediction

<div class="ai1ec-event-avatar alignleft timely"><img src="https://www.spatialsource.com.au/wp-content/uploads/2026/03/1759833729532.jpg?w=220" width="220" height="215" /></div>This ECMWF-ESA Machine Learning Workshop aims to explore the fusion of traditional Earth System Observation and Prediction (ESOP) techniques with machine learning (ML) and deep learning (DL) methods. It seeks to showcase the impact achieved through this fusion, while also addressing the remaining challenges that need further exploration. The presenters will show their contributions to this field and engage the attendees in discussions to provide a comprehensive understanding of the subject. The workshop strongly welcomes industry to demonstrate their commercial lenses for ML4ESOP applications. This <a href="https://events.ecmwf.int/event/488/" target="_blank" rel="noopener">event</a> will delve into the transformative role of ML in enhancing data analysis and predictive modelling within atmospheric sciences. Participants will engage with leading experts, partake in hands-on sessions, and explore cutting-edge innovations that are shaping the future of climate research and operational forecasting. Tickets: <a class="ai1ec-ticket-url-exported" href="https://events.ecmwf.int/event/488/">https://events.ecmwf.int/event/488/</a>.Australia/Sydney

2026-04-13T09:00:00

Australia/Sydney

2026-04-17T17:00:00

en-UShttps://events.ecmwf.int/event/488/Online event0https://www.spatialsource.com.au/event/machine-learning-for-earth-system-observation-and-prediction/

external

thumbnail;https://www.spatialsource.com.au/wp-content/uploads/2026/03/1759833729532.jpg?w=175&h=140&crop=1;175;140;1,medium;https://www.spatialsource.com.au/wp-content/uploads/2026/03/1759833729532.jpg?w=220;220;215;1,large;https://www.spatialsource.com.au/wp-content/uploads/2026/03/1759833729532.jpg?w=343;343;335;1,full;https://www.spatialsource.com.au/wp-content/uploads/2026/03/1759833729532.jpg;800;781;

en-USclimate change,deep learning,Earth observation,machine learning

https://events.ecmwf.int/event/488/