Session High Performance Computing for Numerical Weather Prediction


Description:

This session will explore the use of high-performance computing to develop, run, enhance the performance of, and post-process output from numerical weather prediction models.  Abstract topics may include (but are not limited to) improving computational performance and efficiency, improving scalability, approaches to parallelization, optimizing numerical weather models to benefit from the use of specialized hardware such as graphical processing units (GPUs) in HPC environments, workflow management, and many others.


Papers:
Operational HPC NWP Model Suite Support
Justin Cooke, NWS, College Park, MD; and D. Sheffler and M. B. Curtis

Addressing the Computational Challenges of RRFS: a 3 km North America Ensemble Prediction System
Matthew E. Pyle, EMC, College Park, MD; and T. Lei, M. Hu, S. Liu, S. Trahan, J. A. Abeles, and J. R. Carley

Revolutionizing Weather Forecasting: AI Emulator Optimizes Radiation Parameterization Efficiency using WRF Adios2 IO Framework
Erick Fredj, Jerusalem College of Technology, Jerusalem, Jerusalem, Israel; Jerusalem College of Technology, Jerusalem, Israel; and N. Lavi, I. Segev-Gal, D. Danial, Y. Delorme, Z. Ding, M. Wasserman, and S. jubran

Submission Deadline: Thursday, 31 August 2023