Advanced computational science for climate modelling
Lead Researcher: Dr David Ham
Modelling climate processes, from single phenomena idealised cases to fully coupled Earth system models involves some of the most challenging computing tasks in any part of science. Dr Ham's research involves applying the latest scientific computing and computer science technology to computational problems in the Earth System.
As the developer of the core numerical library underlying Fluidity, the Imperial College Ocean Model (Fluidity-ICOM), Dr Ham's research facilitates the exploration of complex ocean phenomena through highly configurable, parallel simulations. In collaboration with Dr Colin Cotter, Dr Ham has developed discretisations which are tailored to optimally represent the unique geostrophic properties of the ocean and atmosphere.
High performance computer hardware is becoming rapidly more complex. In collaboration with Professor Paul Kelly of Imperial's Department of Computing and others at Imperial and elsewhere, Dr Ham and his students are developing abstracted architectures which enable the automatic generation of parallel model code for the latest complex parallel platforms. Dr Ham is working with the Met Office to evaluate these approaches for their next generation atmospheric model.
Complex simulations are exceptionally difficult to correctly configure. Work by Dr Ham and his collaborators on interface automation has resulted in an input validating user environment for Fluidity-ICOM which reduces the risk of complex simulation results being invalided by input errors by the scientist.
- Farrell PE, Piggott MD, Gorman GJ, et al, Automated continuous verification for numerical simulation, Geoscientific Model Development, 2011, Vol:4, Pages:435-449
- Cotter CJ, Ham DA, Numerical wave propagation for the triangular P1(DG)-P2 finite element pair, J COMPUT PHYS, 2011, Vol:230, Pages:2806-2820
- Markall GR, Ham DA, Kelly PHJ, Towards generating optimised finite element solvers for GPUs from high-level specifications, Procedia Computer Science, 2010, Vol:1, Pages:1809 - 1817-1809 - 1817, ISSN:1877-0509
- Ham DA, Farrell PE, Gorman GJ, et al, Spud 1.0: generalising and automating the user interfaces of scientific computer models, Geoscientific Model Development, 2009, Vol:2, Pages:33-42
- Cotter CJ, Ham DA, Pain CC, et al, LBB stability of a mixed Galerkin finite element pair for fluid flow simulations, J COMPUT PHYS, 2009, Vol:228, Pages:336-348
- Cotter CJ, Ham DA, Pain CC, A mixed discontinuous/continuous finite element pair for shallow-water ocean modelling, Ocean Modelling, 2009, Vol:26, Pages:86-90