What causes super-typhoons to form? Will they become more common?
How do we model global ocean circulation?
How can we quantify model error in climate models?
What is the mathematics of geophysical turbulence?
Does the earth system have metastable states?
Will adaptive meshes produce better climate predictions?
Can we use models and data to estimate the probability of severe weather events under climate change, and quantify our errors?
What is the impact of geostrophic turbulence on the large scale ocean circulation?
How can we assign a skill score to ensemble weather forecasts?
How can we use advanced simulation techniques to quantify the impacts of natural hazards?
Are strange attractors and low dimensional chaos important in climate modelling?
Which layout of tidal turbines maximises profit while minimising impacts?
MPE CDT students - Cohort 2014

Climate change represents an urgent challenge for humanity. Quantifying uncertainty in long‐term climate prediction and estimating the potential strength of extreme meteorological events in the face of global warming are very difficult research questions, with large economic and societal impacts that will only grow in the future.

In response to this challenge, Imperial College London and the University of Reading have joined forces to create the EPSRC Centre for Doctoral Training (CDT) in the Mathematics of Planet Earth (MPE).

Students in the MPE CDT will receive cohort-based PhD training in the mathematical and computational techniques needed to understand, predict and quantify risk and uncertainty for extreme weather and climate change. In particular, our PhD students will receive training which ranges from the data-driven domain represented by statistics, to the model-driven domain represented by analysis and mechanics.

This is the challenge that the CDT as a whole will address, and each student will be able to choose the particular areas of research  that suit their individual taste and talents.

The MPE CDT students will graduate with substantial, interdisciplinary experience in applying cutting-edge mathematics to challenging and urgent problems, and will have developed the teamwork, communication, management and leadership skills needed for a successful career.

The MPE CDT brings together