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Aiming at the needs for highresolution daily weather data, taking Liaoning Province as an example, the spatial interpolation methods of daily weather data from January to December are studied using the ordinary Kriging, Inverse Distance Weighting (IDW), the IDW with weighting of Gradient Inverse Distance Weighting (GIDW), and spline function methods. The statistic analysis for interpolated values and estimated values are made. The results indicate that for temperature, the precision of the estimated values is the highest, and the spacedistributing trend of the interpolated result is the closest to the actual data byusing GIDW method. For precipitation, the precision of the estimated values with the IDW method is higher than those with the other methods, which is more fit for the interpolation of daily precipitation.