By Ieuan Higgs, February 2026 Perception of AI Artificial intelligence (AI) has become closely associated, in the public imagination, with large language models (LLMs). From a user perspective, AI chatbots such…Read More >
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Gaussian anamorphosis for log-normal distributions
By Yumeng Chen, January 2026. Limitations of the normal distribution in data assimilation Operational data assimilation methods typically perform best when both background (forecast) and observation errors can be approximated…Read More >
Improving How We Represent the Land in Earth System Models
By Natalie Douglas, January 2026 A recent community paper, Parameter Estimation in Land Surface Models: Challenges and Opportunities with Data Assimilation and Machine Learning, addresses a deceptively simple question with…Read More >
New student introduction 2025 – Tom Bayliss White
Last but not least of the new DARC students starting this year. Tom Bayliss White is a new PhD student working in the Department of Geography and Environmental Science at…Read More >
New DARC PhD students in 2025
New academic year and new PhD students join DARC at University of Reading. Read on about their background and their topic of research Maori Inagawa is a first year PhD…Read More >
11th International Symposium on Data Assimilation
By Alison Fowler At the end of September, I joined approximately 100 scientists from operational centres and academia, each contributing to progress in data assimilation. Together in Melbourne for the…Read More >
Data assimilation training @ Univ. of Reading 2025
Our recent NERC/NCEO/DARC Training course on data assimilation and its interface with machine learning took place from 9-13 June 2025 at the University of Reading and online. It was wonderful…Read More >
How computational limitations can lead to fun and new mathematics!
by Jemima M. Tabeart, TU Eindhoven When designing data assimilation algorithms, we want to exploit access to lots of parallel computational resource, while ensuring that we can obtain our results…Read More >
The value of observations for weather prediction in the age of machine learning
by Sarah L Dance A few months ago, on 25th February 2025, our colleagues at ECMWF (European Centre for Medium-range Weather Forecasts) took their deep-learning-based global weather forecasting system, known…Read More >
TCCAS: The Terrestrial Carbon Cycle Assimilation System
by Tristan Quaife, May 2025 Implementing a Data Assimilation system for a model can be an arduous task, often involving a substantial amount of reprogramming. A better option, where possible,…Read More >
