عنوان مقاله [English]
Traditional methods of climatic classification are very diverse. Despite traditional and comparative importance, these methods have weaknesses which impair their comprehensive performance. Natural potentials as the background of human activities form the basis and foundation of many environmental programs and land use plans. Sustainable development needs careful planning based on resource constraints and abundances, and local development potentials are determined by its climate. Due to the significant topographic diversity and geographic expansion of Iran, providing a logical classification based on this country's natural realities is quite difficult. Due to topographic diversity of Mazandaran province, its climatic classification is not easily executable. The present article seeks to determine the climate of Mazandaran province according to Litinsky model. We tried to use different methods for climatic classification of the province, yet finally we focused on Litinsky model and explained it. Litinsky model use three fundamental elements of temperature, precipitation and Berry coefficient. Then, it takes advantage of auxiliary indicators including adaptation, continuity of dry season and solar radiation condition to provide a comprehensive classification. To do so, data obtained from 10 synoptic and climatologic stations in Mazandaran during 1984-2005 statistical period was used in SPSS environment. Finally, climate of Mazandaran province stations were determined and proposed in table 4.