To correct the relatively big errors caused by climatic factors， human being intervention is often needed in the short-term load forecasting to improve forecasting results. By analyzing the co-relationships between climatic factors and electric loads， an experience based model correction method is proposed. Correction models and software corresponding to the humidity， rainfall， temperature， and air pressure conditions respectively are developed. Test results show that the proposed model has a high level precision due to the consideration of climate factors.