The proper study of atmospheric phenomena and reporting the weather in accordance with current standards and extracting the average of climatic elements in different periods in a region in order to recognize local climate and micro climate of a geographical units, requires building a network of enough weather stations. This problem is very important, due to creating exclusive conditions in urban areas that are created because of the physical difference between cities with their surrounding environment. Therefore in this research after studying effective parameters on urban weather stations site selection under mentioned circumstances and the qualities of the studied area, positioning indexes including: dispersion of climatic elements in the city, dispersion of physical qualities of the city (crossings and land uses) and dispersion of environmental jeopardies in relation with the climate of the city were selected and after gathering required information of each index such as: climatic data in reported form, matrix data related to physical qualities of the city and environmental jeopardies reports, required layers were extracted using GIS. Setting priorities of indexes related to each other was done using experts’ verdicts and analytical hierarchy process technique and binary comparison. Then, the obtained weights of layers normalized with Fuzzy membership function in AHP are compounded and overlapped using weighted average approach and the weight of the layers were determined and finally the most appropriate parts including 11 parts are prioritized and located with a suitable distance from the main station in order to expand Mashhad and replace urban weather stations .