Daily weather data are required as climate input to many compositive

CLIGEN model is a stochastic weather generator to meet this need.The paper focused on the adaptability of climate generator in Suining purple soil based on the CLIGEN model as a research tool

the paper utilized CLIGEN model to simulate respectively the average precipitation monthly

the average highest temperature monthly and the average lowest temperature monthly by using Suining average meteorological data of 15 years and referencing three meteorological stations in America(CENTERVILLE

MADISONVILLE and CROCKETT).Results show

using the CLIGEN model to simulate

the value and distribution of precipitation and temperature in a year are fitted with actual value well.We select the available coefficient E of model and meaning absoluted percentage error(MAPE) as the index sign of most excellent selection station

finally select CENTERVILLE station as the most excellent station

the meaning absoluted percentage error(MAPE)

which use the CLIGEN model to simulate the average precipitation monthly

the average highest temperature monthly and the average lowest temperature monthly are only 7.15%

7.03% and 6.17% respectively;and the available coefficient are 0.9962

0.9266 and 0.9957 respectively.Thus definite the applicability of CLIGEN model in Suining purple soil finally