Enabling Petascale Ensemble-based Data Assimilation for Numerical Analysis and Prediction of High-Impact Weather
NSF Grant Number
NSF Grant URL
This proposal addresses the most challenging problems of very-high-resolution Numerical Weather Prediction, obtaining the optimal state estimations for initializing ensembles of predictions by assimilating the highest volume of weather observations available, and addressing problem sizes and scales that are only attainable on petascale computing platforms. The project is focused on the very hard problem of thunderstorm initiation, propagation and evolution. The effect of this investment in more accurate and timely forecast of thunderstorms can have a potentially transformative impact on hazard analysis and management.
Use of FutureSystems
We will use FutureGrid for experiments and performance evaluation across sites.
Scale of Use
We will start with small scales (tens to 128 cores), and will request for hundreds of cores when we pass the preliminary stage.