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采用胡志晋的一维时变双参数积云模式，利用福建省１９８５～１９９４年间的夏秋旱期可能出现的１２种天气类型（台风除外）对测站（福州）为主的十年旱期出现的积云降水日（Ｒ≥０．１ｍｍ）进行分类，并按１２种天气类型分别调试的结果（降水预报率达７５％以上），经催化试验，确定福建省旱期积云降水的物理特征，人工增雨催化的方法、催化剂量和催化窗口，得到了一些有意义的结果，并根据催化试验的结果采用ＮＤＰ－ＦＯＲＴＲＡＮ和ＢＯＲＬＡＮＤＣ＋＋交互使用的方法，将云模式业务化成人工增雨指挥系统中的积云模式分系统，该系统可以进行旱期积云降水预报，人工增雨效果检验和作业方法的选择。
Using one-dimensional time-varying two-parameter cumulus model of Hu Zhijin and taking advantage of 12 kinds of weather types (except typhoon) that may occur during the summer and autumn dry periods in Fujian Province between 1985 and 1994, Cumulus precipitation day (R≥0.1mm) were classified and the results of 12 kinds of weather tests were separately debugged (the forecast rate of precipitation was more than 75%). After the catalysis, the physical characteristics of cumulus precipitation in dry season in Fujian Province were determined, Based on the results of the catalytic test, the interaction between NDP-FORTRAN and BORLANDC ++ was used to transform the cloud model into the artificial rainfall enhancement command system Cumulus model subsystem, which can carry out drought cumulus precipitation forecast, artificial precipitation enhancement test and operation method selection.