不同插值算法对气温空间插值效果评估分析

Evaluation and analysis of effects on the different interpolation temperature algorithms

针对气象观测站网空间分布规划不均、气温变化南北差异较大的问题,采用克里金(Kriging)插值、反距离权重加权(Inverse Distance Weighting,IDW)和样条插值(Spline Methods)三种不同的空间插值方法,对宁夏27个国家级考核自动气象站和640个国家级区域自动气象站的2018年逐小时气温资料进行了插值分析与评估,实验结果表明,在站网分布稀疏时适合宁夏地区气温要素插值的方法是反距离权重插值法;在站网分布密集时适合宁夏地区气温要素插值的方法是克里金插值法。

Aiming at the problem of uneven spatial distribution of meteorological observation station and large differences in temperature changes from north to south in Ningxia Autonomous Region,three diff-erent spatial interpolation methods are used in this paper for interpolation analysis and evaluate,such as kriging interpolation,inverse distance weighted method,and spline interpolation.According to the hourly temperature data of the 27 national automatic weather station(AWS)and 640 regional automatic weather stations in Ningxia by 2018.The experimental results show that the inverse distance weight interpolation method is suitable for air temperature interpolation in Ningxia when the distribution of station network is sparse,as well as the kriging interpolation method is suitable for the interpolation of temperature in Ningxia when the station network is densely distributed.