Precipitation information distribution in Chongqing based on spatial interpolation method

Different spatial interpolation methods have different interpolation accuracy in different regions. In order to determine the spatial distribution of rainfall in Chongqing , we used the precipitation data of 12 meteorological stations in Chongqing from 1960 to 2014, and used the IDW method with a coefficient of 2, 3, and 4, the Ordinary Kriging method, the elevation Co-Kriging method, and the temperature Co-Kriging to analyze the precipitation in terms of different indexes, which were the multi-year average, largest 3-month, and smallest 3-month. The results were validated with RMSE and Nash efficiency coefficients. The results showed that in Chongqing, for the three indexes, the interpolation methods from more accurate to less accurate were the elevation Co-Kriging method, temperature Co-Kriging method, OK, IDW4, IDW3, IDW2. For the IDW method, the larger the co-efficient, the smaller the error. Among the three indexes, using the multi-year average precipitation as the input data could produce a more accurate interpolated result . The temperature CK method had good interpolation accuracy when the precipitation was small or the correlation between precipitation and temperature was strong. In the areas with large surface changes in Chongqing , the Co-Kriging method considering elevation can better reflect the impact of elevation changes on precipitation.

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