气温日最低值空间差值序列的中位值解析  

Median Value Analysis of Spatial Difference Series of Daily Minimum of Air Temperature

作　　者：陈乐 贺南 陈岚 文斌[2] CHEN Le;HE Nan;CHEN Lan;WEN Bin(Chengdu Wenjiang District Meteorological Bureau,Chengdu 611130,China;College of Communication Engineering,Chengdu University of Information Technology,Chengdu 610225,China)

机构地区：[1]成都市温江区气象局,四川成都611130 [2]成都信息工程大学通信工程学院,四川成都610225

出　　处：《成都信息工程大学学报》2023年第2期221-226,共6页Journal of Chengdu University of Information Technology

基　　金：四川省科学技术厅重点研发资助项目(2019YFS0490)。

摘　　要：为了深入开展气象观测数据的精细化分析,提升观测资料的应用价值,使用1970-2017年成都地区的气象资料,以数据序列的频数特征为起点,对最低气温数据空间差值序列的中位值进行解析。提出序列中位值的提取方案;揭示这类序列中位值所关联的客观现象;分析这类序列的中位值与其统计平均值之间的联系和差异;阐述使用这种中位值进行解析运算的一些优势。结果表明,所提出的方案能够可靠提取到0.01℃精度的中位值;成都地区15 km间距以上样本中,有49%~88%的最低气温两站空间差值序列的中位值更具序列代表意义;与最低气温空间差的平均值序列的标准差相比,98%的对应的中位值序列的标准差偏小,通常偏小量为11%~19%,这种特点更有利于短序列使用,以提升观测数据使用时效;所有样本中,最低气温空间差的平均值序列与中位值序列同步演化,两者时间序列的相关系数为0.87~0.99,这两个不同统计方式的数据存在这种稳定的关联说明还有内在机理有待深入发掘。In order to further carry out the fine analysis of meteorological observation data and improve the application value of observation data,the meteorological data in Chengdu from 1970 to 2017 are used to analyze the median value of spatial difference series of minimum temperature data from the frequency characteristics of data series.The extraction scheme of median value of this sequence is proposed and the objective phenomenon associated with the median value of this kind of sequence is revealed.The relationship and difference between the median value and its statistical mean value of this kind of series are analyzed and some advantages of using this median value for analytical operations are described.The results show that the proposed scheme can reliably extract the median value with an accuracy of 0.01℃.Among the samples with a distance of more than 15 km in Chengdu,the median value of the spatial difference series of the two stations with 49%to 88%of the lowest temperature is more representative.Compared with the standard deviation of the mean value series of the spatial difference of the lowest temperature,the standard deviation of 98%of the corresponding median value series is small,usually 11%to 19%.This feature is more conducive to the use of short series to improve the timeliness of observation data.In all samples,the average value series and median value series of the spatial difference of the lowest temperature evolve synchronously,and the correlation coefficient of the two time-series is 0.87 to 0.99.The stable correlation between the data of these two different statistical methods shows that there is still an internal mechanism to be further explored.

关 键 词：气象学 气候变化 气象数据分析 空间差值 日最低值 中位值 

分 类 号：P423.36[天文地球—大气科学及气象学]