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. This year, 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. The two parts of the course can be taken consecutively or separately, depending on the student’s background and goals.

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 closes on 25th May.

Timetable

For further information please email Dr Alison Fowler, a.m.fowler@reading.ac.uk or Dr Yumeng Chen, yumeng.chen@reading.ac.uk.

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Slide One

Martin Dwyer

Application Developer

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