| 中尺度模式遗传算法同化系统及同化试验研究 |
| |
| 引用本文： | 彭菊香,沈桐立,朱伟军,沈新勇,孙桂平.中尺度模式遗传算法同化系统及同化试验研究[J].南京气象学院学报,2008,31(1):61-67. |
| |
| 作者姓名： | 彭菊香 沈桐立 朱伟军 沈新勇 孙桂平 |
| |
| 作者单位： | 1. 南京信息工程大学,江苏省气象灾害重点实验室,江苏,南京,210044
2. 青岛市气象局,山东,青岛,266003 |
| |
| 基金项目： | 中国气象科学研究院灾害天气国家重点实验室基金
,
国家重点基础研究发展计划(973计划) |
| |
| 摘 要： | 设计了一个以MM5模式为基础的遗传算法同化系统，并对一次暴雨过程进行了实际降水的模拟，通过对比遗传同化和伴随同化的降水预报效果，对遗传算法同化系统的同化性能进行验证。试验结果表明，遗传算法与四维变分相结合的同化系统能有效地改善模式的初始场，使MM5模式要素预报和降水预报的准确率得到提高。
|
| 关 键 词： | 遗传算法 资料同化 中尺度模式 |
| 文章编号： | 1000-2022（2008）01-0061-07 |
| 收稿时间： | 2006-11-29 |
| 修稿时间： | 2007-05-10 |
A Genetic Algorithm Assimilation System for Mesoscale Model and Its Assimilation Experiments |
| |
| PENG Ju-xiang,SHEN Tong-li,ZHU Wei-jun,SHEN Xin-yong,SUN Gui-ping.A Genetic Algorithm Assimilation System for Mesoscale Model and Its Assimilation Experiments[J].Journal of Nanjing Institute of Meteorology,2008,31(1):61-67. |
| |
| Authors: | PENG Ju-xiang SHEN Tong-li ZHU Wei-jun SHEN Xin-yong SUN Gui-ping |
| |
| Institution: | SHEN Xin-yong, SUN Gui-ping(1. Jiangsu Key Laboratory of Meteorological Disaster, NUIST, Nanjing 210044, China; 2. Qingdao Meteorological Bureau, Qingdao 266003,China) |
| |
| Abstract: | In this paper, a genetic algorithm （GA）-based four-dimensional variational data assimilation （4DVAR） is applied to the MM5 model. In order to verify the performance of the GA assimilation system, the output of the GA based 4DVAR model has been compared with that of an adjoint 4DVAR model. The results indicate that the new method of GA-based 4DVAR can be considered as one of the effective methods to improve numerical weather prediction initial field and raise the prediction accuracy of physical field and rainfall. The new method shows a better performance than the adjoint counterpart based on the present experimental case. |
| |
| Keywords: | genetic algorithm data assimilation mesoscale model |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
