Session

DescriptionGrowing performance of supercomputers provides great opportunities for improving the skills of climate and weather prediction. In the past decade, considerable achievements have been made in adapting existing and developing new numerical models to best benefit from new hardware and increasingly-massive parallel computation environment. Much attention has been paid to designing new numerical algorithms for different architectures, searching for alternative coupling and parallel computing schemes, and developing new-generation multi-scale models for different components of the climate system. As the state-of-the-art supercomputers become much more powerful and new architectures are designed to reduce energy consumption, how to improve climate and weather models for a better performance on new platforms remains a challenge for all the scientists dedicated to model development and supercomputing. In this minisymposium, four outstanding scientists in the field of model development and supercomputing related to climate and weather simulations will review recent achievements and discuss future research directions in this field.