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

 

Files (1.2 MB)
Name Size
PESTCode.zip
md5:998b835e59ac47fbb4aa451d25cc66a3
1.2 MB Download
PESTFiles.zip
md5:88061b7241e2351ee721bb4a8fea88c5
6.2 kB Download
ScriptsForCori.zip
md5:8d5185facf802dd2f0c36f1057232990
4.9 kB Download
ScriptsForTheta.zip
md5:9ddae7d3896f3b5b7c23cead77539896
2.7 kB Download
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