Given the tremendous volume of observations, and the ever increasing resolution of numerical weather prediction models the need to incorporate information at a tremendous range of spatial/temporal scales requires advances in both the science and the computer science of data assimilation systems. This joint session will present talks that target the union of science and computer science, and how advances in both areas will improve the output of data assimilation systems.

Talks about ADCIRC

Numerical simulation of hydrologic processes has be practiced for many years. Although HPC is widely utilized in atmospheric modeling, its role in hydrological modeling has been less profound. In this joint session, we are seeking abstracts that focus on hydrological modeling processes which require, and utilize HPC resources to improve the overall understanding of the extremes of flood and drought. More specifically, we are interested in abstracts which demonstrate improved coupling of hydrologic and atmospheric models (supported on the same computing platform); support large-scale hydrologic models at increased spatial resolutions; instances of coupled modeling systems running in an ensemble system to better express model uncertainty; and, abilities to process large datasets (multiterabyte volumes).