One of the key elements for building performance simulation comes from the input of typical meteorological data. In order to make building performance simulation more reliable and more widely used, this study uses simplified meteorological elements and uses rich CDFs to illustrate that modification to Sandia Method is actually very reliable and can be selected a typical month very close to the average of historical weather. The TMY produced in this study is the closest to the typical climatic characteristics of various regions in the existing studies. The 30 locations selected in this study are also the most widely distributed. This study not only provides representative long-term average climate data required for building performance simulation, but also can be combined with Green BIM to become the most powerful tool for green building design in the future.