| 2009年春季一次黄海海雾的观测分析及数值模拟 |
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| 引用本文： | 王帅,傅聃,陈德林,李鹏远,傅刚.2009年春季一次黄海海雾的观测分析及数值模拟[J].南京气象学院学报,2012,35(3):282-294. |
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| 作者姓名： | 王帅 傅聃 陈德林 李鹏远 傅刚 |
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| 作者单位： | 1. 中国海洋大学海洋气象系,山东青岛,266100
2. 广西钦州市气象局,广西钦州,535000 |
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| 基金项目： | 公益性行业(气象)科研专项(GYHY，国家自然科学基金资助项目，国家高技术研究发展计划项目 |
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| 摘 要： | 利用5种观测资料和RAMS（regional atmospheric modeling system）模式对2009年5月2_5日发生在黄海海域的一次海雾过程进行了观测分析和数值模拟研究。结果表明：1）所取个例的整个生命过程受同一高压系统影响，该高压在海雾过程后期的形变促使海雾消散，这在以往的黄海海雾中较为罕见。2）黄海北部形似“7”的雾区形态的出现和演化与1～3℃气海温差的变化吻合，气海温差对海雾形成和演变的重要作用得到再次验证。3）RAMS模式具有一定的海雾数值模拟能力，得到的雾顶高度分布与卫星云图所显示的雾区形态吻合良好。
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| 关 键 词： | 海雾 黄海 观测分析 数值模拟 |
An observation and numerical simulation of a sea fog event over the Yellow Sea in the spring of 2009 |
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| WANG Shuai,FU Dan,CHEN De-lin,LI Peng-yuan,FU Gang.An observation and numerical simulation of a sea fog event over the Yellow Sea in the spring of 2009[J].Journal of Nanjing Institute of Meteorology,2012,35(3):282-294. |
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| Authors: | WANG Shuai FU Dan CHEN De-lin LI Peng-yuan FU Gang |
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| Institution: | ( Department of Marine Meteorology, Ocean University of China, Qingdao 266100, China; 2. Weather Bureau of Qinzhou, Qinzhou 535000, China) |
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| Abstract: | In this paper, 5 kinds of observational data and the RAMS （regional atmospheric modeling system） modeling results are used to investigate a dense sea fog event over the Yellow Sea from 2 to 5 May 2009. The results show that： 1 ） a high-pressure system, to some extent, controlled the evolution and impelled the dissipation of the sea fog, which was rare in past researches ;2） the morphological var-iation of the sea fog was in accordance with the temperature difference of 1-3 ℃ between the air and sea surface over the north part of the Yellow Sea, which proved the important role of temperature differ-ence between the air and sea surface in sea fogs;3 ） the simulated pattern of fog top height calculated from the model agrees well with the sea fog region identified from the visible satellite imagery, which was an evidence to show the ability of the RAMS to simulate sea fog events. |
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| Keywords: | sea fog the Yellow Sea observational analysis numerical simulation |
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