Session

DescriptionMany of the operational weather and climate prediction models world wide have been developed over multiple decades. The algorithms used in these models were often designed well before the multicore era started. To take full advantage of the emerging massively parallel heterogeneous supercomputers it is necessary to investigate completely new algorithms which have never been used in operational weather and climate prediction before and which promise significant improvement in terms of scalability and energy efficiency. In particular, high order discontinuous and continuous Galerkin methods offer increased operational intensity which allows to make better use of the available processor performance while reducing the necessary memory traffic which is typically the bottleneck in most earth system models. At the same time new time integration methods allow to reduce the number of time steps or even to parallelize the computation over time steps. This mini-symposium will present innovative work on these new algorithmic approaches and discuss their benefits in light of the upcoming exascale supercomputers.