Application Study of Multi-mode data in the Forecast of Temperature in Chengdu

Based on the three different high resolution model data(March to November of 2015) from EC,T639 and Germany respectively and the maximum and the minimum daily temperature from the 13 districts and counties' national ordinary stations in Chengdu,the single mode data as well as the multi- model data are linear fitted to the recording data by using the distance weighted average method,mean difference and the multiple linear regression. It reveals that the coincidence rate of the multi-mode data is higher than any other single models. Finally,the application platform of temperature forecast in Chengdu based on the multi-mode data are completed by VB.