玉米生育模拟模型中天气模型的建立和功能

采用周期外延预测模型的正交化筛选方案与相关分析相结合的方法建立了天气模型（ＳＮＷＭ）。运行ＳＮＷＭ可以根据历史资料生成未来１年的天气文件。经过对１９９０，１９９２，１９９３年气象要素的预测值（旬或旬平均值）与观测资料比较，降降水准确率为６６．７％外，辐射、最高气温、最低所温的准确率在７７．７８％－８８．８９％之间。ＣＥＲＥＳ－ＭＡＩＺＥ玉米生育模拟模型采用由ＳＮＷＭ生成的天气文件作为输入运行时则具

Establishment and Function of Weather Model in Growth and Development Simulation Model of Maize

The weather model (SNWM) was established by employing the combination of vertical cross selections and cycle extension prediction .The accuracy of the radiation, the highest and the lowest air temperature ranged from 77.78% to 88.89% except for the rainfall of 66.67%, compared with the predictions and observations of meteoriogical data in 1990, 1992 and 1993. When the CERES-MAIZE model, it had the function of prediction because it used the produced weather documents as the input files.The tested and verified results from 1992 to 1993in the field showed that the simulation results through the prediction of CERES-MAIZE model was highly similar with the factually measured results,which suggested that the preccition results through the SNWM was relative reliabilits.