| PODEn4DVar对松弛系数和局地化半径的敏感性 |
| |
| 引用本文： | 宋海清,盛炎平.PODEn4DVar对松弛系数和局地化半径的敏感性[J].北京机械工业学院学报,2012(3):15-20. |
| |
| 作者姓名： | 宋海清 盛炎平 |
| |
| 作者单位： | [1]北京信息科技大学理学院,北京100192 [2]中国科学院大气物理研究所,北京100029 |
| |
| 基金项目： | 国家自然科学基金面上项目（41075076） |
| |
| 摘 要： | 针对松弛系数和局地化半径的敏感性对PODEn4DVar同化方法性能的影响,以浅水波方程作为预报模型,测试了其对不同松弛系数α和局地化半径R的敏感性,获得了不同模型误差情形下该方法同化时产生的均方根误差变化情况,确定了不同模型误差时的最优松弛系数α和局地化半径R。实验结果表明,在模型有误差时,PODEn4DVar同化方法对参数地选取很敏感。选取最优参数值后,同化精度有了明显提高。
|
| 关 键 词： | 本征正交分解的集合四维交分同化 数据同化 松弛系数 局地化半径 浅水波方程模型 |
A parametric sensitivity of the PODEn4DVar to the relaxation coefficient and the localization radii |
| |
| SONG Hai-qing,SHENG Yan-ping.A parametric sensitivity of the PODEn4DVar to the relaxation coefficient and the localization radii[J].Journal of Beijing Institute of Machinery,2012(3):15-20. |
| |
| Authors: | SONG Hai-qing SHENG Yan-ping |
| |
| Affiliation: | 1. School of Applied Sciences, Beijing Information Science and Technology University, Beijing 100192, China; 2. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China) |
| |
| Abstract: | The choices of the relaxation coefficient and the localization radii have an impact on the performance of the PODEn4DVar assimilation method. By applying the PODEn4DVar with a two- dimensional shallow-water equation model, the sensitivity of the PODEn4DVar to the relaxation coefficient a and the localization radii R is examined, and then the root mean square error of the assimilated results is obtained in the case of different model error in the data assimilation process. Optimal relaxation coefficient c~ and the localization radii R of PODEn4DVar in the imperfect model are determined through its root mean square error. The results show that the PODEn4DVar approach is sensitive to the parameters. Its assimilation precision and assimilation performance have been improved significantly after the optimal value of parameters is selected. |
| |
| Keywords: | PODEn4DVar data assimilation the relaxation coefficient the localization radii shallow-water equation model |
| 本文献已被 CNKI 维普 等数据库收录！ |
