Environmental Physics & Mathematical Modelling

This theme focuses on the physical, mathematical and statistical theory and modelling as applied to earth system physics, chemistry and biology. Students on this pathway will use “big data” analysis techniques and advanced modelling to understand environmental complexity, whether they are studying specific processes (e.g., weather, climate, earthquakes, tsunamis), developing instrumentation (e.g., satellites, spectrometers) or focusing on the development of mathematical, statistical and computational techniques.

Among our partners there is a critical mass of world-class researchers with expertise in: artificial intelligence, bioinformatics, evidence synthesis, uncertainty quantification, stochastic simulation, risk analysis, space-time modelling, extreme value analysis, and the application of these techniques to real world problems such as: atmospheric chemistry and dust, greenhouse gas radiative modelling, satellite sensors and orbit modelling, solar winds, thermosphere, space weather instrumentation, tsunami modelling, climate modelling, quantum processes, and exo-planetary atmospheric modelling.

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University College London is the administrative lead.

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