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基于SWAN模式的黄渤海一次强冷空气研究
引用本文:刘志宏,郑崇伟,陈晓斌,刘天宁,张昊.基于SWAN模式的黄渤海一次强冷空气研究[J].延边大学理工学报,2013,39(3):231-234.
作者姓名:刘志宏  郑崇伟  陈晓斌  刘天宁  张昊
作者单位:1. 92538部队气象台,辽宁大连,116041
2. 65052部队技术工作站,吉林白城,137101
基金项目:中科院知识创新工程重要方向项目(KZCX2-YW-Q11-03)
摘    要:利用MICAPS、T639、日本传真图等资料,对2012年1月20日前后的一次强冷空气过程进行研究,并将各种预报产品和旅顺站预报经验相结合,对黄渤海的海表风场、海浪场进行预报和经验总结.此外,还利用NFS(Non-hydrostatic Forecast System)风场驱动SWAN(Simulating Waves Nearshore)模式,对此次冷空气所造成的大浪进行模拟,并将预报结果、模拟结果分别与观测资料进行对比,以提高预报能力和检验SWAN模式对发生在黄渤海的冷空气所致大浪的模拟能力.结果表明:以NFS风场为驱动场时,SWAN模式可以很好地对黄渤海海域的海浪场(含波高、波向)进行模拟,预报的风场、海浪场与观测资料基本一致;在高风速下,预报的波高与实测波高一致性较好,但在中低风速下,预报的波高略低于实测值.

关 键 词:海表风场  海浪场  NFS风场  SWAN模式

Analysis of a cold air wave process in the Bohai Sea and the Yellow Sea by using SWAN wave model
LIU Zhihong , ZHENG Chongwei , CHEN Xiaobin , LIU Tianning , ZHANG Hao.Analysis of a cold air wave process in the Bohai Sea and the Yellow Sea by using SWAN wave model[J].Journal of Yanbian University (Natural Science),2013,39(3):231-234.
Authors:LIU Zhihong  ZHENG Chongwei  CHEN Xiaobin  LIU Tianning  ZHANG Hao
Affiliation:1. Meteorological Unit, No. 92538 Army of People 's Liberation Army, Dalian 116041, China 2. NO. 65052 Army of People 's Liberation Army, Baicheng 137101, China )
Abstract:A cold air wave process happened in January 2012 in the Bohai Sea and the Yellow Sea is analyzed by using MICAPS, T639 and Japanese radiofacsimile weather map. In order to improve the forecasting ability, we also simulated this cold air wave process by using SWAN (Simulating WAves Nearshore) wave model with NFS (Non-hydrostatic Forecast System) wind data as the driving field. Results show that: (1) With NFSwind data as driving field, SWAN wave model can well describe the waves caused by the cold air in the Bohai Sea and the Yellow Sea. The forecasting wind field and forecasting wave field have good consistency with the ob- servation data. (2) The simulation significant wave height has good consistency with the observation value un- der strong wind. And the simulation significant wave height is slightly smaller than the observation value un- der weak wind.
Keywords:wind field  wave field  NFS wind data  SWAN wave model
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