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非线性正规模初值化及其对资料同化和预报的影响
NON-LINEAR NORMAL MODE INITIALIZATION AND ITS EFFECT ON DATA ASSIMILATION AND FORECASTING
【摘要】 文章介绍了国家气象中心中期数值预报谱模式(T42L9)的非线性正规模初值化方案(NNMI).讨论了该方案对资料同化和预报的影响.试验表明,应用前5个垂直模,经2次迭代能够得到一个对分析资料修正较小的平衡初始场.它成功地消除了预报中虚假的高频重力波振荡,对改进资料同化和模式预报起了重要作用。
【Abstract】 The non-linear normal mode initialization(NNMI)for a spectral model of medium-range NWP in NMC,SMA is described, and its effect on data assimilation and forecast-ing is discussed.It is experimentally shown that in terms of two iterations by using firstfive vertical modes,a balanced initial field appropriate to data analysis is obtained.It aL-so shows that NNMI is highly successful in eliminating the spurious high frequency gravity wave oscillation in forecasting,therefore,it plays an important role in improv- ing data assimilation and model forecasting.
【关键词】 正规模;
初值化;
资料同化;
高频重力波振荡;
【Key words】 Normal mode; Initialization; Data assimilation,High-frequency gravity wave oscillation.;
【Key words】 Normal mode; Initialization; Data assimilation,High-frequency gravity wave oscillation.;
【基金】 国家《七五》攻关课题(75-09-01)资助
- 【文献出处】 应用气象学报 ,QUARTERLY JOURNAL OF APPLIED METEORLOLGY , 编辑部邮箱 ,1994年01期
- 【分类号】P457.4
- 【被引频次】2
- 【下载频次】60