Comparison between CA-FCM and other precipitation enhancement effect evaluation methods on cloud seeding operation

Based on cloud seeding data on April 5,2002 in Henan province,cloud seeding effects were evaluated by six methods,i.e.double contrast method of regional rainfall tendency control,regression analysis method of regional tendency correlation,multiple regression analysis method of regional tendency covariant,floating control historical regression method(FCM),cluster-analysis-based floating control historical regression method(CA-FCM) using rainfall as a covariant and CA-FCM using rainfall and atmospheric perceivable water as covariants.The results indicate that the effect of CA-FCM using rainfall and atmospheric perceivable water as covariants is better,for the physical covariant that is not influenced by catalyze is used as controlling factor and cluster analysis method is employed.The significant is more than 0.05.The effects of other methods are worse.