云导风资料在遗传算法同化系统中的应用

常慧琳; 沈桐立; 朱伟军

云导风资料在遗传算法同化系统中的应用

1.
江苏省气象灾害重点实验室, 江苏, 南京, 210044;大连市气象局, 辽宁, 大连, 116001
2.
江苏省气象灾害重点实验室, 江苏, 南京, 210044

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2006LASW01;国家重点基础研究项目(973项目)2004CB418301共同资助

计量
- 文章访问数: 1012
- HTML全文浏览量: 0
- PDF下载量: 889
- 被引次数: 0
出版历程
- 收稿日期: 2007-01-17
- 修回日期: 2007-12-18

APPLICATION OF CLOUD-DERIVED WIND DATA IN GENETIC ALGORITHM ASSIMILATION SYSTEM

1.
Department of Atmospheric Science, NUIST, Nanjing 210044, China;Dalian Meteorological Bureau, Dalian 116001, China
2.
Department of Atmospheric Science, NUIST, Nanjing 210044, China

摘要

摘要: 利用云导风资料和常规观测资料,采用遗传算法同化系统和中尺度MM5模式对2005年7月9～10日长江流域的暴雨过程进行了模拟和分析。结果表明:遗传算法同化系统可以同化常规资料和非常规资料。使用遗传算法同化系统可以有效改善数值预报模式的初始场,在一定程度上提高物理量场的预报,但对降水场的预报效果改善不明显。加入云导风资料后,可进一步改善风场和温度场,使得物理量场和降水场的预报更加接近实况。
- 云导风 /
- 遗传同化 /
- MM5 /
- 数值模拟
Abstract: By using cloud-derived wind data and routine observational data, a heavy rain over the reaches of Yangtze River from 9 to 10 July 2005 is simulated and analyzed with a genetic algorithm assimilation system and MM5 models. The results indicate that the genetic algorithm assimilation system can assimilate both conventional and unconventional data. It can improve not only the initial field of the numerical forecast model effectively but also enhance the forecasts of other elements to some extent, though not helpful for the improvement of the precipitation forecast obviously. By adding the cloud-derived wind in the experiment, the forecast of the wind and temperature filed are more significantly improved and the prediction of other elements and precipitation is also more similar to the observation.
- cloud-derived wind /
- genetic algorithm /
- MM5 /
- numerical simulation

HTML全文

参考文献(15)

[1]	罗乔林.数据处理之进展--见于气象四维同化问题[J].系统工程理论与实践,1997,17(9):98-103.
[2]	AHRENS B.Variational data assimilation for a Lorenz model using a non-standard genetic algorithm.Meteorology and Atmospheric Physics[J].1999,70:227-238.
[3]	王小平,曹立明.遗传算法--理论、应用与软件实现[M].西安:西安交通大学出版社,2002:76.
[4]	LAKSHMANAN V.Using a genetic algorithm to tune a bounded weak echo egion detection algorithm[J].J Appl Meteor[J].2000,39(2):222-230.
[5]	玄光男,程润伟.遗传算法和工程优化[M].北京:清华大学出版社,2004:21.
[6]	HOLLAND J H.Adaptation in Nature and Artificial Systems[M].Ann Arbor.MI:University of Michigan Press,1975.
[7]	王顺凤,沈桐立,张建伟,等.基于进化方向遗传算法的四维变分资料同化方法[J].南京气象学院学报,2002,25(6):740-746.
[8]	陈东升,沈桐立,马革兰.气象资料同化的研究进展[J].南京气象学院学报,2004,27(4):550-564.
[9]	胡娅敏,丁一汇,沈桐立.基于遗传算法四维变分同化技术的研究[J].大气科学,2006,30(2):248-256.
[10]	FRANK H.Assimilation of satellite imager data and surface observations to improve analysis of circulations forced by cloud shading contrasts[J].Mon Wea Rev,2000,128(2):434-448.
[11]	闵锦忠,沈桐立,陈海山,等.卫星云图资料反演的质量控制及变分同化数值实验[J].应用气象学报,2000,11(4):410-418.
[12]	万齐林,薛纪善,陈子通,等.雷达TREC风的三维变分同化应用与试验[J].热带气象学报,2005,21(6):449-457.
[13]	顾建峰,薛纪善,颜宏.多普勒雷达四维变分分析系统概述[J].热带气象学报,2004,20(1):1-13.
[14]	庄照荣,薛纪善.云迹风资料的三维变分同化及对台风预报的影响试验[J].热带气象学报,2004,20(3):225-236.
[15]	李红莉,沈桐立,公颖.云导风资料同化在伴随模式同化系统中的应用[J].气象科技,2006,34(4):358-363.