PetaApps: Enabling Petascale Ensemble-based Data Assimilation for Numerical Analysis and Prediction of High-Impact Weather
Sponsored by National Sciencie Foundation (OCI-0904938), 9/2009-8/2013
Xiaolin (Andy) Li (PI)
University of Oklahoma: M. Xue (PI), Henry Neeman (CoPI), Xuguang Wang (CoPI), Ronald Barnes (CoPI)
Project SummaryThis project 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. An efficient and easy-to-use programming toolkit for a large class of weather forecasting applications will be developed.