基于Kriging的加密自动气象站要素场插值与改进  

An Improved Kriging-based Algorithm for Automatic Meteorological Station Element Filed

作　　者：王兴[1] 张琳焓[1] 王丽娟[1] 张潇潇[1] 

机构地区：[1]南京信息工程大学大气科学学院,江苏南京210044

出　　处：《软件工程师》2015年第11期6-10,共5页Software Engineer

基　　金：国家科技支撑计划课题(2012BAH05B01);大气科学与气象信息虚拟仿真实验教学课程项目(XNFZ2015A04);大学生实践创新训练计划项目(201510300168)

摘　　要：为了解决加密自动气象站资料的时空分辨率高,对资料中各个要素场插值计算时耗长,难以应用到对实时性要求高的业务系统中的问题,提出一种改进的Kriging算法,针对加密自动站的空间分布和气象学特点,预先对自动站分区,并对要素场插值的算法流程进行优化,提高其计算速度,以满足相关业务对气象数据实时性的要求。实验结果证明,本方法插值结果更接近实际观测值,且计算速度提升了约20倍。Due to the high spatial and temporal resolution in AWS data,interpolation calculation for element fields in the data is too time consuming,so as it is difficult to apply to the business system of high real-time demand.To solve this problem,this paper presents an improved Kriging algorithm.Optimize the interpolation algorithm processes for element fields,according to the space distribution characteristics of AWS,and the characteristics of meteorology,so as to improve the computing speed and to meet the real-time requirements of some business systems.The test results show that the interpolation results using the improved method is closer to the observed values,and the computation time reduced approximately 20 times.

关 键 词：克里金 插值 加密自动气象站 模式初始场 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]