The Live E! project is a Japanese research consortium among industry and academia to develop a platform collecting and sharing digital information related with the earth. This platform consists of a large number of spatially distributed weather stations measuring different environmental quantities such as temperature, humidity, pressure, etc. In this paper, we conduct the first analysis on this huge data set. To that end, we perform a synchronous-average based decomposition of the collected time series, and we explore the structures of correlations both in time and space on the observed data.