A quality control method for the surface temperature based on the spatial observation diversity

This article aims to propose a new quality control method based on the spatial observation diversity for the surface temperature (SDF). In order to weight the two type errors, Mean Square Ratio (MSR) was employed to evaluate the new method with Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Nash-Sutcliffe Model Efficiency Coefficient (NSC). The examples indicate that the new method outperforms IDW and SRT for different stations at 02 :00, 08 :00, 14 : 00 and 20 : 00 during 2005-2014. The results of the comparison led to the recommendation that the SDF method is an effective quality control method in identifying the seeded errors for the surface temperature with the best robustness and adaptability, but all these three methods are affected by the topography and density of the stations.