陕西省月平均气温空间插值方法研究

为弥补陕西省气象站点数量有限、空间分布不均等问题,对常用空间插值方法进行比较研究,探寻适宜陕西省气温空间插值方法。根据陕西省内外110个气象站点1981-2010年的月平均温度,选用反距离权重法、普通克里金法与多元线性回归法进行空插值,利用实际验证法进行精度评估。结果表明,考虑了经度、纬度和高程的多元线性回归法的插值精度最高,普通克里金法次之,反距离权重法精度最低;多元线性回归分析法对陕西省气温插值最为适宜。

Study on spatial interpolation method of monthly mean temperature in Shaanxi Province

In order to compensate for the limited number of meteorological stations in Shaanxi Province and the uneven distribution, this paper makes a comparative study on the common spatial interpolation methods to explore the suitable spatial interpolation method of air temperature for Shaanxi Province. According to the monthly average temperature of 110 meteorological stations in Shaanxi Province from 1981 to 2010, the inverse distance weight (IDW), ordinary Kriging (OK) and multiple linear regression (MLR) were used to perform the null interpolation, and the accuracy was evaluated by the actual verification method. The results show that the interpolation accuracy of the MLR, which takes into account the longitude, latitude and elevation, is the highest, the accuracy of the OK ranks the second, and the IDW has the lowest precision. The MLR is most suitable for the temperature interpolation in Shaanxi Province.