Study on Covariates Selection in the Statistical Evaluation of Artificial Precipitation Enhancement Effects

摘要：

On the basis of 1997-2007 meteorological data from April to July and the characteristics of cloud seeding in Jilin Province, the correlationship between precipitation and other meteorological factor, such as pressure, temperature, relative humidity, wind speed, sunshine hours and dew point, is analyzed for seeking the suitable covariates in the cloud seeding effect evaluation. Results of the conventional correlation analysis indicates that wind speed has little relation with precipitation, failing in the significance test at the level 0.05. The canonical correlation analysis demonstrates that temperature, relative humidity and dew point have positive correlation with precipitation. So the three indices can be selected as covariates during statistical evaluation of artificial precipitation enhancement effects.

关键词： cloud seeding covariate significance test canonical correlation analysis

作者: Xianghua Wu Shengjie Niu Haiyan Sun

作者单位: College of Math and Physics;School of Atmospheric Physics;Key Laboratory of Meteorological Disaster School of Atmospheric Physics;Key Laboratory of Meteorological Disaster of Ministry of Education, Na Weather Modification Office of Jilin Province,Changchun China.

会议类型: 国际会议

会议名称: The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)

会议地点: 南京

会议语种:英文

页码: 1138-1142

在线出版日期: 2011-06-01（万方平台首次上网日期，不代表论文的发表时间）