Develop numerical methods for modeling through collaborations

NCAR models of the Earth System, the Sun, and the Sun-Earth System motivate CISL’s scientific research on algorithms, numerical methods, and computational performance. Numerical models are the basis for assessing, understanding, and forecasting the complex interactions among geophysical processes and human activities. CISL focuses on the numerical algorithms and computational science that will accelerate the simulation rate of Earth System models by crafting scalable numerical algorithms that can take advantage of large numbers of processors and coprocessors.

A priority in geophysical modeling is to increase resolution because higher resolution can resolve important processes to improve the accuracy of prediction and perhaps uncover unexpected interactions within the physical system. This goal must be pursued within the context of the massively parallel hardware that makes up today’s high performance computing environments.

CISL research focuses on areas to increase model resolution through methods that scale to large numbers of processors or coprocessors. Improvements in simulation speed on these large systems depend on better numerical algorithms and innovative application of computer science. Moreover, many of these new strategies arise as basic scientific research on idealized problems and are later transferred to the practical requirements of community models.

This work is supported by NSF Core funding.