摘要
我国众多的气象站点为气象监测、预测及其他资源与环境相关研究提供了较好的条件,但因受各种复杂因素的影响,已有监测站点的数据存在部分缺失问题。为此,需要对现有站点缺失数据进行补全。基于浙江省100个站点的2014年6月至2016年5月两年的气象数据,分别采用IDW(反距离权重法)和RBF(径向基函数法)对各个气象因子进行插值比较。结果表明,RBF的插值精度总体优于IDW,RBF更适合作为缺失气象数据的补全方法。
Numerous meteorological stations in China provide good conditions for meteorological monitoring,forecasting and other resources and environment related research,however,due to the influence of various complex factors,some data in existing meteorological stations are partially lost.It is necessary to complete the missing data.Based on the meteorological data of 100 stations in Zhejiang province from June 2014 to May 2016,in this paper,IDW(inverse distance weighting method)and RBF(radial basis function method)are used respectively to interpolate for each meteorological factor.The results show that the interpolation accuracy of RBF is better than that of IDW,so,RBF is more suitable as a complement method for the missing meteorological data.
作者
周银明
吴达胜
Zhou Yinming;Wu Dasheng(Zhejiang A&F University,Hangzhou Zhejiang 311300,China)
出处
《计算机时代》
2019年第10期8-10,共3页
Computer Era
基金
国家基金(41101421)
国家基金(41471442)
浙江省科技重点研发资助项目(2018C02013)
关键词
气象要素
IDW
RBF
插值
meteorological elements
IDW
RBF
interpolation
