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 >
Improving Arctic Sea Ice Forecasts with Ensemble Data Assimilation
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…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 >
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 >
