by Laura Risley, June 2024 After a 6-year hiatus, 2024 saw the return of the ‘Workshop on Meteorological Sensitivity Analysis and Data Assimilation’ also known as the Adjoint Workshop! The…Read More >
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Observation-related matrix calculations in variational data assimilation
By Guannan Hu, May 2024 Data assimilation is a process that uses meteorological observations to improve the initial conditions for weather forecasting. To make the best use of the observations,…Read More >
Why do we bother with data assimilation software (and PDAF)?
by Yumeng Chen, May 2024 Data assimilation (DA) has various applications in the field of weather and climate prediction. Previous DARC blogs introduced its capability in numerical weather prediction, air…Read More >
“Doomed (!), doomed (?)” – Is the AMOC at risk of reversal?
by Ivo Pasmans, April 2024 “We’re doomed, doomed!” was the catch phrase of the always cheerful and generous private Frasier in the British sitcom Dad’s Army. And if recent publications…Read More >
The need for observations of the coastal marine ecosystem
By Alison Fowler, April 2024 The waters surrounding our coastline may seem deep and empty, but they are full of life. It is the tiniest of these organisms, the phytoplankton…Read More >
Are satellite observations really measuring the same thing as your model predicts? Probably not. Here’s what to do about it.
by Tristan Quaife, March 2024 In Data Assimilation it is often necessary to assimilate observation types that are related to, but not directly predicted by, the underlying process model. Achieving…Read More >
Using 4DEnVar to constrain land surface models with observations
By Natalie Douglas, March 2024 Land surface models are crucial to climate modelling. They act as a boundary condition, informing climate models of the exchanges of water, carbon and energy…Read More >
Steam Engines, Air Pollution, And Data Assimilation
by Jochen Broecker, March 2024 The Industrial Revolution saw not only the introduction of steam engines but also the introduction of anthropogenic air pollution due to the burning of fossil…Read More >
Women and Girls in Science Leadership, a New Era for Sustainability
by Gwyneth Matthews (@GwynRMatthews), February 2024 In 1998 there were only about 10 female professors of mathematics in the UK (UCU, 2007; Series, 2021), including Nancy Nichols (University of Reading)…Read More >
A brief look at machine learning and its applications in data assimilation
By Ieuan Higgs (@sci_higgs), Jan 2024 Data assimilation Data assimilation (DA) aligns our numerical prediction models with real-world observations while acknowledging that each source of information has some level of…Read More >
