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Data Analyses and Parallel Optimization of the Tropical-Cyclone Coupled Numerical Model

2022; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-981-19-5194-7_2

1865-0937

Yanqiang Wang, Tianyu Zhang, Zhaohui Yin, Sai Hao, Chenqi Wang, Bo Lin,

Ocean Waves and Remote Sensing

Tropical cyclones (TCs) are one of the most feared and deadly weather systems in the world. An air-sea coupled numerical model offers a more accurate description of physical processes between atmospheric-ocean fluids. An operational ocean-atmosphere-wave coupled modeling system is employed to improve the prediction accuracy of tropical cyclones in the National Marine Environmental Forecasting Center (NMEFC). Due to the urgent need for operational timeliness, the parallel performance of the operational forecasting system has been analyzed. The parallel algorithm, parallel partitioning grids, and other optimizations were tested after system deployment on the Lenovo cluster of the NMEFC. After optimization, a well-balanced performance of the system is obtained, and computing resources are reasonably utilized, thus laying the foundation for real-time tropical cyclone forecasting.