文献类型：会议论文

英文题名：Operational Optimization of a Global Ocean Wave Numerical Forecasting System Based on the Spherical Multiple-Cell Grid

作者：Wang, Yanqiang[1,2]; Cai, Qiongqiong[1]; Zhang, Tianyu[3,4]; Lin, Bo[1]; Wang, Bao[1]

机构：[1] National Marine Environmental Forecasting Center, Beijing, 100081, China; [2] College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China; [3] Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea, Department of Education of Guangdong Province, Guangdong Ocean University, Zhanjiang, 54008, China; [4] Southern Marine Science and Engineering Guangdong Laboratory [Zhuhai], Zhuhai, 519000, China

会议论文集：Sixth International Conference on Computer Information Science and Application Technology, CISAT 2023

会议日期：May 26, 2023 - May 28, 2023

会议地点：Hangzhou, China

语种：英文

外文关键词：Disaster prevention - Forecasting - Oceanography - Poles - Spheres - Stability criteria - Time series analysis - Water waves

外文摘要：Ocean wave numerical forecasting is the most important tool for marine environmental forecasting, oceanic disaster prevention, and alleviation. However, the conventional latitude-longitude grid global wave model cannot cover the entire Arctic Ocean. It is limited by two factors: the first is the diminishing longitude grid length towards the Pole, which exerts a server restriction on the time steps of finite-difference schemes for the Courant-Friedrichs-Lewy (CFL) stability criterion; the second is the polar singularity of the spherical coordinate. Nowadays, a new ocean wave numerical operational forecasting system is requested, including global coverage with high resolution and detailed information in key regions. To meet the above requirements, this research establishes the multi-resolution global ocean wave numerical forecasting system. Based on the knowledge about the Spherical Multiple-Cell (SMC), 3 levels (6km, 12km, and 25km) are used in the resolution of this system, which could extend the model domain to the North Pole without reducing the time steps. After a series of data analysis, optimization, and testing, the operational efficiency and stability are improved, and the ocean wave forecasting result is also enhanced by increasing the model performance and speedup. ? 2023 SPIE.