Comparison of three interpolation methods for the average monthly temperature in the South of Iraqi zone

Abstract EN

This study focuses on evaluating the suitability of three interpolation methods in terms of their accuracy at climate data for some provinces of south of Iraq.

Two data sets of maximum and minimum temperature in February 2008 from nine meteorological stations located in the south of Iraq using three interpolation methods.

ArcGIS is used to produce the spatially distributed temperature data by using IDW, ordinary kriging, and spline.

Four statistical methods are applied to analyze the results obtained from three interpolation methods.

These methods are RMSE, RMSE as a percentage of the mean, Model efficiency (E) and Bias, which showed that the ordinary krigingis the best for this data from other methods by the results that have been obtained .