DARC Training course on data assimilation and its interface with machine learning 2026
15-19th June 2026, University of Reading, UK
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. The course will be separated into two stages. The first stage will have an emphasis on applications and the well-informed use of reanalysis products. In the second stage, we will allow more time to explore the mathematics of DA theory and algorithms and dive deeper into the relevant Machine Learning concepts.
Registration
The course fees are £375 for in-person participants. This fee includes refreshments, an icebreaker on the 15th and a dinner on the 19th.
The course fees for online participants are £75.
To register, please fill out this online form https://registration.venuereading.com/Training Course.
Registration has now closed. Emails were sent to participants on 5th June with joining instructions and on 11th June with practical instructions. Let us know if you have not received these.
The course will be held on the main Whiteknights campus of the University of Reading (campus map). Throughout the week, we will be in the Mathematics Building (building 4). Monday – Thursday, we will be in Room 113, moving to Room 314 on Friday. Registration on Monday will be in Room 100 of the Mathematics building. Refreshments will be in Room 100 (Mon-Thu) and Room 304 (Fri). Please bring your own reusable cups and water bottles. Lunches will not be provided; however, there are many cafes and a supermarket on campus. Handouts will not be provided, but slides can be downloaded via the online timetable below when they become available. You may also download our maths primer for future reference. In the timetables below all times are in BST (GMT+1)
Participants (click to view)
Timetable
Data assimilation relies on mathematical and statistical knowledge (especially linear algebra and probability). Participants are encouraged to read through our maths tutorial/revision notes and bring along any questions about these to the course. There will be a special maths tutorial especially for this on Tuesday, 16th June at 4.30 pm.
Monday 15th June (Maths 113) (click to view)
Tuesday 16th June (Maths 113) (click to view)
Wednesday 17th June (Maths 113) (click to view)
Thursday 18th June (Maths 113) (click to view)
Friday 19th June (Maths 314) (click to view)


