Spatial interpolation of climate data for Kangdian area, China

Accurate climate data is an essential environmental factor to quantify ecology, geography and other related research fields. In this paper, we performed thin-plate smoothing spline interpolation implemented in ANUSPLIN on monthly climate data and obtained precipitation and temperature monthly interpolation surfaces in Kangdian area. Error analysis showed the RTMSE of temperature was less than 0.513 and the RTMSE of precipitation was less than 12.700 in most months. Compared with IDW and Kriging method, the proposed method could get more accurate results. It indicated that ANUSPLIN method could be the optimal spatial interpolation method in interpolating the monthly meteorological data in Kangdian area and other areas with complex terrain.