Mapping Climate Zones of Iran Using Hybrid Interpolation Methods

Climate plays a key role in ecosystem services. Understanding microclimate change can be significant help making the right decision for ecosystems and buffering effects of global warming. Given large distances between meteorological stations changes climate variables within short distances, such variations cannot detected just by using observed data. This study aimed at determining spatial structure mean annual temperature, average precipitation, zoning Iran data from 3825 2002 to 2016.The multivariate regression demonstrated dependence these on longitude, latitude, elevation. Regression-kriging indicated decline temperature east west northwest high-altitude areas, while most precipitation values were over Caspian Sea coastline Zagros Mountains. Climatic showed that auxiliary was very effective detecting 24 climatic classes understating diversity Iran. Hot hot arid occupy largest part Iran, including southeastern southern desert regions. According generated map, needs accurate policymaking regarding cultivation patterns biodiversity. Visual comparisons zones with four remotely sensed agricultural-related carefully produced maps would beneficial classifying, assessing, interpreting remote variables.