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 event 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.
The Survey and Spatial New Zealand Conference 2026 aims to connect the surveying and spatial community to explore innovation, technology and the future of the profession.
The event will attract professionals from across land development, urban design, resource management, civil engineering, surveying (cadastral, hydrographic and engineering), positioning and measurement, and spatial/GIS for two days of insights.
Registrations are due to open in April 2026.
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