NERC/NCEO/DARC Training course on data assimilation and its interface with machine learning 2025
9-13th June 2025, University of Reading, UK
Jump to key dates and how to apply
Join us to explore the theory and practical applications of Data Assimilation, a vital key to analysing and predicting the Earth system and a cornerstone in the exploitation of Machine Learning to tackle environmental challenges.
Within this course, you will learn how Data Assimilation (DA) offers practical methods, underpinned by mathematical theory, to integrate numerical models and large observational datasets. This year the course will be separated into two stages. The first stage (foundation course) will have an emphasis on applications and the well-informed use of reanalysis products. In the second stage (advanced course) we will allow more time to explore the mathematics of DA theory and algorithms, and dive deeper into the relevant Machine Learning concepts. The two parts of the course can be taken consecutively or separately, depending on the student’s background and goals.
The course will be delivered by scientists from DARC (Data Assimilation Research Centre) and NCEO (National Centre for Earth Observation) with guest lectures from ECMWF and the Met Office.
The course is free to attend. Funding is available to support subsistence and travel expenses. A hybrid option, with limited interaction, will be available for those unable to travel.
Key dates:
- Application deadline: 11th April 2025. To apply for the course, please complete this web form.
- Notification of successful applications: by 23rd April 2025.
- Registration deadline: 7th May 2025
- Course dates: 9th-10th June 2025 (Foundation) and 11th-13th June 2025 (Advanced).
For further information please email Dr Alison Fowler, a.m.fowler@reading.ac.uk or Prof. Amos Lawless, a.s.lawless@reading.ac.uk.