双套自动气象站数据融合方法探索  

Exploration of data fusion method for double automatic weather stations

作　　者：刘静[1] 朱华亮[1] 谭常春[1] 温华洋[2] 

机构地区：[1]合肥工业大学数学学院,安徽合肥230009 [2]安徽省气象信息中心,安徽合肥230031

出　　处：《合肥工业大学学报（自然科学版）》2015年第1期132-135,共4页Journal of Hefei University of Technology：Natural Science

基　　金：国家自然科学基金资助项目(11201108);国家公益性行业(气象)科研专项资助项目(GYHY201006055)

摘　　要：国家级双套自动气象站运行后,多套数据融合为一套数据的数据融合问题是双套站投入使用前必须解决的问题。文章提出了基于空间一致性滑动方差的数据处理算法,并利用安徽休宁站2010-10—2011-025个月每日01时点气温数据对算法进行验证。结果表明:基于空间一致性的有效性判别对数据的筛选是有效的,很好地保证了数据的完整性和一致性;同时基于滑动方差得出的合成数据与"真值"较接近,可以反映大气真实情况。After the double automatic weather stations operate at national level,the data fusion problem that fuses multi-set of data into a set of data must be solved before the official operation of the double automatic weather stations.In this paper,a data processing algorithm based on space consistency and sliding variance is proposed,and the temperature data by hours of Xiuning Station,Anhui Province from Oct.2010 to Feb.2011 are used to validate the algorithm.The results show that the validity discrimination of the data based on space consistency is effective,thus ensuring the integrity and validity of the data;and that the result of data fusion based on sliding variance is close to the“truth value”,thus reflecting the basic situation of the atmosphere.

关 键 词：双套自动气象站 数据融合 空间一致性 滑动方差 气象数据 

分 类 号：TB114.37[理学—概率论与数理统计]