文献类型：会议论文

英文题名：Data Analyses and Parallel Optimization of the Tropical-Cyclone Coupled Numerical Model

作者：Wang, Yanqiang[1,2];Zhang, Tianyu[3];Yin, Zhaohui[4];Hao, Sai[1];Wang, Chenqi[1];Lin, Bo[1]

机构：[1]Natl Marine Environm Forecasting Ctr, Beijing 100081, Peoples R China;[2]Ocean Univ China, Coll Ocean & Atmospher Sci, Qingdao 266100, Peoples R China;[3]Guangdong Ocean Univ, Dept Educ Guangdong Prov, Key Lab Climate Resources & Environm Continental, Zhanjiang 54008, Peoples R China;[4]Baidu Inc, Beijing 10105, Peoples R China

会议论文集：8th International Conference on Pioneering Computer Scientists, Engineers and Educators (ICPCSEE)

会议日期：AUG 19-22, 2022

会议地点：SW Petr Univ, Chengdu, PEOPLES R CHINA

主办单位：SW Petr Univ

语种：英文

外文关键词：High-performance computing; Tropical cyclones; Model coupling; Parallel partition

外文摘要：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.