Kriging Application in Climatic Element Interpolation A Case Study: Iran Precipitation in 1996.12.16

Abstract

Interpolation is one of the most important techniques in climatic spatial investigation. These techniques classified based on different criteria. In this paper, it has tried to introduce Kriging interpolation and practical stages as an exact, acute and all-purpose method. Through introducing the method, we have used 1996.12.16 precipitation of 654 stations in Iran. To interpolate the precipitation empirical semi-diffraction-record calculated and delineated in both degree and distance scales. Thus, eleven models have fitted on the empirical semi-diffraction-record. Three maps have created base on every models and three assumptions. The assumptions were no trend, linear trend and quadratic trend existence in the data. Thus, 33 maps have created. In related to cross-validation and error in estimation criteria, two maps that have less error were chosen. These maps created based on linear and quadratic semi-diffraction-record models without any trend in the data. The linear model was the best in comparison with quadratic model fitted on semi-diffraction-record. The result of map was pointed to 7.3 mm of Iran precipitation average during 1996.12.16. The second consequence was concentration of precipitation in the southern part of Iran.

Keywords

• weighted average
• interpolation
• kriging
• isohyets
• semi-diffraction-record