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 >
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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 >
Progress in estimating the state of the atmosphere-ocean system
by Peter Jan van Leeuwen(1), April 2025 (1): Department of Atmospheric Science, Colorado State University, Colorado, USA In a blog post dated 16 April 2025, Amos Lawless provided a valuable…Read More >
Simultaneous estimation of the atmosphere and ocean states
by Amos Lawless, April 2025 Why is the ocean relevant for weather forecasts? The weather we experience each day is influenced not just by what is happening throughout the atmosphere,…Read More >
The least squares method in data assimilation
by Ross Bannister, April 2025 The method of least squares (or MLS, Barlow, 1993) is at the very centre of variational data assimilation (or “Var”, Schlatter, 2000). Var is one…Read More >
Hybrid modeling of sea ice column physics
by Giovanni De Cillis(1) and Alberto Carrassi(1,2),March 2025 (1): Dept of physics, U Bologna, IT (2): Visiting Professor at U of Reading, UK Our research aims to develop a hybrid,…Read More >
Understanding the Land Surface Temperature retrievals from satellites
by Riccardo Monfardini, March 2025 In this blog post, I will briefly introduce how land surface temperature (LST) is measured from satellites, the associated challenges, and the results. My name…Read More >
Your noise is my signal: using unconventional observations in Data Assimilation
by Javier Amezcua, February 2025 My name is Javier Amezcua and I am currently an Associate Professor at Universidad Iberoamericana in Mexico City. I spent 10 years at the University…Read More >
