Towards denser observation assimilation: understanding spatial observation-error correlations - DARC

Observations are a key component of DA. Space agencies invest billions of pounds in providing wide-ranging, high-resolution observations of the Earth to improve weather forecasting. These observations...

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Teaching a Neural Network to Smooth the Ocean model reanalyses - DARC

by Sukun Cheng, March 2026 To understand historical ocean changes, researchers produce reanalyses that reconstruct past states by combining numerical models with historical observations. Over the last...

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The critical role of cross-variable covariances in high-resolution data assimilation - DARC

by Ravi Shankar Nemani, March 2026 In the pursuit of accurate initial conditions for Numerical Weather Prediction, the specification of the background error covariance matrix, commonly referred to as ...

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Can you explain that again? Connecting explainable AI and data assimilation in Earth sciences  - DARC

Explainable AI, data assimilation and their connection in Earth sciences. Approaches used in DA may help to understand and trust AI models.

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Gaussian anamorphosis for log-normal distributions - DARC

Gaussian anamorphosis for log-normal distribution in data assimilation

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Improving How We Represent the Land in Earth System Models - DARC

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 far-reachi...

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11th International Symposium on Data Assimilation - DARC

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...

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Observe the Moon Night University of Reading - University of Reading

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Data assimilation training @ Univ. of Reading 2025 - DARC

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 M...

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The tech giants use AI but is it any good?

The biggest tech firms are using AI to forecast the weather but is that better than existing models?

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How computational limitations can lead to fun and new mathematics! - DARC

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...Re...

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The value of observations for weather prediction in the age of machine learning - DARC

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,...

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The value of observations for weather prediction in the age of machine learning - DARC

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,...

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TCCAS: The Terrestrial Carbon Cycle Assimilation System - DARC

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 M...

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Community Festival 2025

The University of Reading's second annual Community Festival will take place on 17 May 2025, between 12:00 and 17:00. Register now for a day of free family entertainment.

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Progress in estimating the state of the atmosphere-ocean system - DARC

This blog highlights new methods for improving data assimilation in coupled atmosphere-ocean systems. Traditional approaches struggle with the differing scales of the ocean and atmosphere. A new techn...

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Simultaneous estimation of the atmosphere and ocean states - DARC

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 >

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The least squares method in data assimilation - DARC

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 >

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Hybrid modeling of sea ice column physics - DARC

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 >

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Understanding the Land Surface Temperature retrievals from satellites - DARC

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...Rea...

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Your noise is my signal: using unconventional observations in Data Assimilation - DARC

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 >

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PhD Studentship in the EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation at University of Reading

Explore the PhD Studentship in the EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation on jobs.ac.uk, the top job board for higher education. Appl...

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PhD Studentship in the EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation at University of Reading

Apply for a PhD Studentship in the EPSRC Centre for Doctoral Training in the Mathematics for our Future Climate: Theory, Data and Simulation. Discover a wide range of PhD opportunities at jobs.ac.uk.

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Postdoctoral Researcher (CRISP):Whiteknights Reading UK

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Improving Arctic Sea Ice Forecasts with Ensemble Data Assimilation - DARC

by Sukun Cheng, February 2025 The research presented here was carried out during my postdoctoral position at the Nansen Environmental and Remote Sensing Center (NERSC) in Bergen, Norway. My work...Rea...

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