青海省逐日地面气温数据不同插值方法的对比

Contrast on Different Spatial Interpolation Methods of Daily Surface Temperature Data in Terrain Complex Area,Qinghai Province

为了探索适合地形复杂区青海省的逐日地区气温数据空间插值方法,利用2008年7月青海省48个地面气象观测站获取的逐日气温数据进行插值试验,首先通过对逐日气温值与对应的测站高程进行回归分析,将回归分析得到的气温垂直递减率与数字高程模型(Digital Elevation Model,DEM)该站的高度相乘,并与回归直线截距相加产生网格化的回归气温值,同时对残差采用常见的空间内插方法(IDW,RBF,OK)进行插值,然后将网格化的回归气温值与残差的插值结果相加,得到空间化的逐日气温数据,最后分析和比较了这几种插值方法的结果。结果表明,空间化的逐日气温结果能较为准确地反映出青海省气温的空间分布特征。

There are only a few weather stations which are unevenly distributed in terrain complex area,Qinghai Province.In order to find the suitable spatial interpolation method for daily temperature data in Qinghai Province,using the observed data at 48 weather stations in Qinghai Province during July 2008,the daily surface air temperature and their elevation of the weather stations for the temperature laps rate were analyzed.Temperature lapse rate multiplies by the elevation of digital elevation Model（DEM）,and then pluses the intercept of the analysis of regression model to obtain grid regressive temperature.At the same time,some familiar interpolation method（IDW,RBF and OK） are used for the temperature interpolation of residual.Then,the grid regressive temperature pluses the residuals of the interpolation results equal to spatial daily temperature data.Finally,the results of these types of interpolation methods are analyzed and comparisoned.The results show that： The spatial interpolation of daily temperature can accurately reflect the characteristic of the spatial distribution of temperature in Qinghai Province.