文献类型：期刊文献

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] National Marine Environmental Forecasting Center, Beijing, China; [2] College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China; [3] University of Chinese Academy of Sciences, Beijing, China; [4] State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Cas, Beijing, China; [5] School of Software, Tsinghua University, Beijing, China; [6] Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea, Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang, China

年份：2022

起止页码：261

外文期刊名：Proceedings - 2022 8th International Conference on Big Data Computing and Communications, BigCom 2022

收录：EI(收录号：20231413857722)

语种：英文

外文关键词：Computational fluid dynamics - Navier Stokes equations - Oceanography - Water waves - Weather forecasting

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. ? 2022 IEEE.