07-31, 13:00–13:10 (UTC), Purple Track
Global circulation models, for numerical weather and climate prediction, spend about 30% of their time in radiation computations. Hence, the performance of atmospheric radiative transfer models (RTMs) is critically important.
We present RRTMGP.jl, a commonly used atmospheric RTM for global circulation models. Translated from Fortran, RRTMGP.jl has new abstractions, CI tests, and will run on GPUs. We will give a quick overview of the problem/equations that are solved and improvements.
Charles is a software engineer at Caltech, working on a new climate model, CLIMA, intended to learn from a diverse set of data. This climate model is implementing novel sub-grid scale models for resolving turbulence and cloud processes. The code, developed by a distributed team, will be made capable to run on CPU and GPU architectures.
Previously, during his Ph.D., Charles developed a liquid-metal magnetohydrodynamic (MHD) solver and framework for simulating liquid-metal MHD flows for fusion energy applications, in particular, for accident scenarios involving loss of plasma confinement, resulting in electromagnetic interactions between the plasma and liquid-metal breeding blanket.
Charles has a passion for developing HPC software for simulating physical phenomena.