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Analyses and Parallel Optimization Exploration of the Coupled Atmosphere-Ocean Wave Numerical Forecasting Model  ( CPCI-S收录 EI收录)   被引量:1

文献类型:会议论文

英文题名:Analyses and Parallel Optimization Exploration of the Coupled Atmosphere-Ocean Wave Numerical Forecasting Model

作者:Wang, Yanqiang[1,2];Peng, Wei[1];Xiao, Fan[1,3,4];Lin, Bo[1,5];Zhang, Tianyu[6]

机构:[1]Natl Marine Environm Forecasting Ctr, Beijing, Peoples R China;[2]Ocean Univ China, Coll Ocean & Atmospher Sci, Qingdao, Peoples R China;[3]Univ Chinese Acad Sci, Beijing, Peoples R China;[4]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China;[5]Tsinghua Univ, Sch Software, Beijing, Peoples R China;[6]Guangdong Ocean Univ, Dept Educ Guangdong Prov, Key Lab Climate Resources & Environm Continental, Zhanjiang, Peoples R China

会议论文集:8th International Conference on Big Data Computing and Communications (BigCom)

会议日期:AUG 06-07, 2022

会议地点:Xiamen, PEOPLES R CHINA

语种:英文

外文关键词:numerical model; high-performance computing; parallel optimization; model coupling

外文摘要:The governing equations in atmospheric and ocean computational fluid dynamics models are specific forms of Navier-Stokes equations. Due to the complexity of the model itself, it is difficult to find the optimal parallel solution method. By coupling the atmospheric-ocean numerical model and simulating the interaction between the atmospheric-ocean fluids, the accuracy and prediction ability of the prediction model can be improved, but a more complex numerical calculation is needed. Based on the newly developed Model for Prediction Across Scales atmosphere model (MPAS-atmosphere, MPAS-A) and NOAA/EMC WAVEWATCH III (NWW3) wave model, we use the C-Coupler2 coupler to realize the construction of the global atmosphere-wave coupling numerical forecasting model. Due to the urgent need for operational timeliness of forecast, the parallel performance of the operating system has been analyzed. The parallel I/O, compiling options, parallel partitioning, and other optimizations were tested after the system deployment on the Lenovo cluster of the National Marine Environmental Forecasting Center. After optimization, a well-balanced performance is obtained, and computing and I/O resources are reasonably utilized, thus laying a foundation for the real-time coupling forecasting operation system of global across scales high-resolution atmospheric and ocean wave model.

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