An unbiased atmospheric climate model
To correct the large biases in state-of-the-art climate models with a ML model of the sub-grid tendencies.
Samples of published and ongoing projects by the Climate Modelling Research Group. These are also intended to give prospective students project ideas, particularly have a look at those tagged “OPEN” but feel free to reach out with your own ideas too!
Atmospheric modelling, GPU computing, Software engineering, Data compression, Information theory, Scientific computing, Data visualisation, Feels-like temperature, Forecast communication, Machine learning, Numerical weather prediction, Generalization, Automatic differentiation, Exoplanets, OPEN, GPU programming, Stochastic
To correct the large biases in state-of-the-art climate models with a ML model of the sub-grid tendencies.
Stochastic rounding introduces random numbers in every little +, -, *, /, … with big impacts on large scales of a simulated system
High-resolution weather and climate models are a massive high-performance computing endeavour
Atmospheric general circulation models are the backbone of climate models, being used to understand and predict climate change on Earth and understand climat...
Learning the physics not a hardcoded representation of continents with their specific climates
Forecasting feels-like temperatures as a strategy to reduce heat illnesses during sport events
Compressing atmospheric data into its real bitwise information content
Play climate modelling like it’s LEGO!