利用循环3DVAR改进黄海海雾数值模拟初始场Ⅱ:RAMS数值试验  

Initial Conditions Improvement of Sea Fog Numerical Modeling over the Yellow Sea by Using Cycling 3DVAR-Part Ⅱ:RAMS Numerical Experiments

作　　者：高山红[1] 张守宝[1] 齐伊玲[1] 傅刚[1] 

机构地区：[1]中国海洋大学物理海洋实验室,山东青岛266100

出　　处：《中国海洋大学学报（自然科学版）》2010年第11期1-10,18,共11页Periodical of Ocean University of China

基　　金：国家自然科学基金项目(40706004;40675060);国家科技部项目(2005CB422301;2006AA09Z151);中国气象局行业公益专项基金项目(GYHY200706031)资助

摘　　要：第一部分的结果显示,利用WRF模式及其循环3DVAR同化方案(WRF循环3DVAR)能有效地提高黄海海雾WRF数值模拟的初始场质量。在此基础上,进一步提出利用WRF循环3DVAR形成的初始场驱动RAMS模式的思路,并以2006年3月6～8日的1次大范围黄海海雾事件为研究对象,设计并实施了一系列RAMS数值模拟对比试验。对试验结果的仔细分析表明,WRF循环3DVAR提供的初始场明显优于RAMS模式自身等熵面客观分析方法生成的初始场,它在动力与物理上非常协调且对模拟结果的改善相当显著。这说明WRF循环3DVAR可以为RAMS模式改进其初始场提供一条切实可行的途径。The previous work（Part？？？s indicated that a cycling 3DVAR data assimilation scheme based on WRF and its 3DVAR module（WRF cycling 3DVAR）can obviously improve numerical modeling initial conditions of sea fog over the Yellow Sea.In this part,aproposal that RAMS model is forced to run by the initial conditions generated from this scheme is explored,by using several RAMS numerical experiments of a sea fog case over the Yellow Sea during 6？？8March,2006.The modeling results and their analyses show that the initial conditions provided by WRF cycling 3DVAR is much better than that created by the RAMS built-in isentropic analysis,because the former keeps the dynamic and physic balance and results in great improvement of modeling results.It suggests that WRF cycling 3DVAR can be a possible and useful approach to provide initial conditions for RAMS model.

关 键 词：黄海海雾 数值模拟 初始场 RAMS模式 等熵面分析 WRF循环3DVAR 

分 类 号：P426.4[天文地球—大气科学及气象学]