Based on the Barnes interpolation method and the hourly AWS(automatic weather station) temperature data from 00:00 BST 1 July 2011 to 23:00 BST 30 June 2012,this paper studies the space consistency quality control by Barnes interpolation method which has some applicability in Shanghai and East China.Analysis of the characteristic of representative areas shows that,on the day without precipitation,the temperature of land stations and seaside stations has significant diurnal variation characteristics and the temperature difference is minimum between 09:00 BST and 18:00 BST.In the daytime(nighttime),the temperature of land(seaside) stations is higher than that of seaside(land)stations,and the highest(lowest) temperature difference is about 0.74 ℃(0.79 ℃).Besides,the temperature difference is striking at most moment,and owes to the sunlight,wind speed and direction.Further,the AWS data are sensitive to variations of meteorological elements during weather processes and can reflect urban heat island effect.