High-Performance Computing with the Weather Research and Forecasting System Model: A Case Study under Stable Conditions over Mexico Basin
Document title: High-Performance Computing with the Weather Research and Forecasting System Model: A Case Study under Stable Conditions over Mexico Basin
Journal: Computación y sistemas
Database:
System number: 000560812
ISSN: 1405-5546
Authors: 1
1
2
2
3
Institutions: 1Universidad Nacional Autónoma de México, Escuela Nacional de Ciencias de la Tierra, México
2Universidad Nacional Autónoma de México, Instituto de Ciencias de la Atmósfera y Cambio Climático, México
3Instituto Politécnico Nacional, Laboratorio de Inteligencia Artificial, México
Year:
Season: Jul-Sep
Volumen: 27
Number: 3
Pages: 627-641
Country: México
Language: Inglés
English abstract This study explores the performance of the Weather Research and Forecasting System Model (WRF v.4.0) for a winter case under stable meteorological conditions in the Mexico Basin. To evaluate the sensitivity to spatial resolution and parametrization configurations, a suite of different numerical experiments is designed to test five Planetary Boundary Layer (PBL) schemes coupled to a Surface Layer parametrization (SL) and a cloud microphysics (MP) parametrization to find an optimal configuration in terms of closeness to physical reality and computational efficiency. The WRF atmospheric dynamics core and its ancillary physics routines constitute a massively parallel FORTRAN code that runs on the Tlaloc cluster at the ICAyCC-UNAM with optimized MPICH software. Two model performance metrics are used: 1) Taylor statistics to measure the distance between simulations and observed meteorological fields (near-surface and upper-level temperature and winds), and 2) CPU execution time. Results show that the Mellor-Yamada-Janjic (M) scheme performs best near the surface at 2.0 km horizontal resolution. However, the Yonsei University (Y) PBL scheme outperforms the M scheme when looking at temperature vertical profiles at the exact horizontal resolution. Both PBL schemes show negligible CPU execution time differences.
Keyword: Numerical weather prediction,
WRF model,
Performance,
Parallel programming
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