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 >
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 >
Data assimilation and deep learning: the changing face of numerical weather prediction
by Sarah L Dance, January 2024 Weather forecasts are an essential tool to help us prepare for hazardous weather events such as storms and floods. Early warnings are even more…Read More >
Using mathematics to make the data assimilation problem easier to solve
by Amos Lawless, December 2023 Variational data assimilation is widely used in many operational weather forecasting centres, such as the Met Office and the European Centre for Medium-range Weather Forecasts,…Read More >
