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“The climate system is made up of building blocks which in themselves are based on elementary physical principles, but which have surprising and profound collective behavior when allowed to interact on the planetary scale. In this sense, the “climate game” is rather like the game

An article on "Climate Ambassadors and the future of Climate Education" by Prof. Andrew Charlton-Perez (Andrew Charlton-Perez) is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

"Modern deep learning methods are very sensitive to many hyperparameters, and, due to the long training times of state-of-the-art models, vanilla Bayesian hyperparameter optimization is typically computationally infeasible. On the other hand, bandit-based configuration evaluation

Incredibly exciting initiative between world leaders in weather, climate and AI research! :) #MetOfficeXTuring #FastNet

Zeyuan Hu (Harvard University) and his colleagues have been working on developing machine-learning (ML) subgrid parameterizations for convection and radiation using the ClimSim dataset. By integrating microphysics constraints into the ML emulator, their work achieves stable and

Karan Jakhar (University of Chicago and Rice University Karan Jakhar) and his colleagues used machine learning to develop a subgrid-scale parameterization for geophysical turbulence that is not only effective but also analytically derivable using a Taylor series expansion. By

An article on "Advancing Mesoscale Process Representation in Ocean Models with Machine Learning" by Dr. Anna Denvil-Sommer (Dr. Anna Denvil-Sommer) is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

An article on "Renewable energy lulls: understanding European weather for when the wind doesn’t blow and the sun doesn’t shine" by Dr. M Salim Poovadiyil is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

An article on the "Impact of Hydrogen on Atmospheric Composition and Climate" by Dr. Tanusri Chakraborty is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

An article on "Is climate change shifting the North Pacific jet stream?" by Dr. Matthew Patterson is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

An article on "The value of observations for weather prediction in the age of machine learning" by Prof. Sarah Dance is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

An article on "Reconciling Earth’s growing energy imbalance with ocean warming" by Prof. Richard Allan (Richard Allan) is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

An article on "Applying solar wind data assimilation to the WSA coronal model" by Dr. Harriet Turner (Harriet Turner) is the topic of our latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

Vacancy: 3 years Junior Assistant professor position in the area of data assimilation and machine learning at the University of Bologna! Deadline for applications is April 18 at 12:00pm CEST. Contact Prof Alberto Carrassi: [email protected] and

An article on "Anemoi: open-source winds of change in European weather forecasting" by Prof. Hannah Cloke (Hannah Cloke) is the topic of the latest Reading Meteorology research blog. You can check it out here! blogs.reading.ac.uk/weather-and-cl…

Myself and Andrew Charlton-Perez (Andrew Charlton-Perez) talk to Annalee Newitz (Annalee Newitz is @[email protected]) for the New Scientist about AI, weather and climate - involving some of our/our groups recent (and upcoming) research. News article out today: newscientist.com/article/mg2663… New Scientist #ai #ml

We are very excited to announce our AGU 2025 session has been accepted! Join us in New Orleans, December 15–19, 2025, for session NG005: “Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling”. - You can

Join our invited speakers - Ching-Yao Lai (Stanford - Yao Lai), Sophie Abramian (Columbia), and Adam Subel (NYU) - at our #AGU25 session NG005, "Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation and Hybrid Modeling".