Journal article Open Access

A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the Midwestern United States

Wang, Jiali; Wang, Cheng; Orr, Andrew; Kotamarthi, Rao

This study ported the parallel PEST to High Performance Computing (HPC) clusters and adapted it to work with the The Weather Research and Forecasting Hydrological (WRF-Hydro) modeling system. The porting involved writing scripts to modify the workflow for different workload managers and job schedulers, as well as developing code to connect parallel-PEST to WRF-Hydro. We developed a case study using a flood in the midwestern United States in 2013 to test the operational feasibility and computational benefits of the HPC-enabled parallel PEST linked to WRF-Hydro.

The files include (1), the original code of PEST with a slight modification, see ReadMe file; (2), the scripts that customized for PEST to run on Edison, one of U.S. Department of Energy operated supercomputers; (3), the four types of files that are required by parallel PEST and custom-designed for WRF-Hydro.


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