gaussian weight meaning in Chinese
高斯权重
Examples
- As a result , in the paper , considering the altitudinal effect ( topography factor ) and the influence on the temperature lapse rate by topography and latitude and longitude and moisture transfer , the study on the daily surface air mean , max and min temperature in the reaches of yangtze rive is attempted by five models , which include the gaussian weighted model , the gaussian weighted model associated with the error - modification , the gradient plus inverse distance squared model and the modified gaussian weighted model a and b that take topography - factor into account
本文考虑海拔高度和温度直减率受地形和经、纬度及水汽等因素的影响，通过利用高斯权重法、结合逐步订正的高斯权重法、梯度距离权重反比法和加入地形影响项(地形因子)的两种改进高斯权重法的方案a 、 b ，对长江流域的地面日平均、最高和最低气温场进行了空间化插值研究。 - During the course of the research , the criterions of the interpolation effect are mean error ( me ) , mean absolute error ( mae ) , root mean squared interpolation error ( rmse ) and the difference of mean square deviation between the measured and the estimated surface air temperature . the conclusions are as follows : ( 1 ) by contrasting the gaussian weighted model associated with the error modification with the gaussian weighted model , the error modification is proved to considerably ameliorate the precision of spatial interpolation ; ( 2 ) on the base of the gaussian weighted model , taking altitudinal effect into account can reflect the trend in which temperature changes according to the topographic altitude and may ameliorate the precision of spatial interpolation correspondingly and apparently , which indicates that topographical effect on the preciseness of spatial interpolation can not be disregarded in terms of the region with complicated topography ; ( 3 ) the map of daily surface air temperature distribution , using the modified gaussian weighted model a and b , can accurately reflect the temperature - changing - with - topographical - altitude trend . among them , the better is the model a , whose me is below 0 . 03 ?
在此过程中，采用平均误差( me ) ，平均绝对误差( mae ) ，插值平均误差平方的平方根( rootmeansquaredinterpolationerror ，简称rmsie ) ，插值前后测站要素值的均方差( meansquaredeviation ,简称msd )差值作为判定插值效果的标准，得出如下结论：通过高斯权重法与结合逐步订正的高斯权重法的对比，说明结合逐步订正方案的高斯权重法可大大提高地面日气温的插值精度；在高斯权重法中加入海拔影响项可以反映出温度随地形高度的变化趋势，同时也能较大地提高地面日气温的空间插值精度，说明在地形复杂的区域，地形影响在插值精度中是不可忽略的；对于高斯权重法的两种改进方案得到的地面日气温分布图都能很好地反映出表面大气气温随地形高度的变化趋势。