摘要
基于海南省5个GNSS/MET水汽含量观测站的观测数据文件、导航定位文件和温度、湿度、气压三种气象要素资料,采用概率密度函数(PDF)、直方图和箱线图分析等方法,研究了2020年全年10个变量数据的质量特征.结果表明:(1)五指山站所跟踪到的导航卫星数量比其他站点跟踪到的导航卫星数量要少,但五指山站所跟踪的卫星数量异常值较其他站偏多;(2)西沙站的L1、L2载波多普勒频率直方图都存在双峰形状,质量不如其他站;(3)西沙站在L1、L2载波相位方面的数据都与其他站的数据相差较大,而且,西沙站的L2载波相位直方图存在明显双峰形状;(4)西沙站的L2载波信噪比变量值直方图存在明显的双峰形状,并且其箱线图的箱体较其他站的箱线图箱体大,数据波动较大;(5)西沙站的L1载波C/A码伪距和L2载波P码伪距直方图均存在明显双峰形状,并且其箱线图中位数也与其他观测站的中位数相差较大;(6)全省各个观测站点的解算水汽含量大都在50 mm左右.
In the report,based on the observation data files,navigation files,temperature,humidity and air pressure data of five GNSS/MET water vapor content observation stations in Hainan Province,the probability density function(PDF),histogram and box plot analysis methods were used to analyze the data quality characteristics of 10 variables in 2020. The results showed that:(1)the number of navigation satellites tracked by Wuzhishan station is less than that tracked by other stations,and the number of outliers of Wuzhishan station is more than that of other stations.(2)The Doppler frequency histograms of L1 and L2 carriers at Xisha station are bimodal,and whose quality is inferior to that of other stations.(3)The L1 and L2 carrier phase data of Xisha station are quite different from that of other stations,and the L2 carrier phase histogram of Xisha station has obvious bimodal shape.(4)The histogram of L2 carrier signal-to-noise ratio variable value of Xisha station has obvious bimodal shape,and the box of box line graph is larger than that of other stations,and the data fluctuation is larger.(5)The histogram of L1 carrier C/A code pseudo range and L2 carrier P code pseudo range at Xisha station has obvious bimodal shape,and the median of its boxplot is quite different from that of other stations.(6)The calculated water vapor content of each observation station in the whole province is about 50 mm.
作者
姜小云
吴俞
张永莉
Jiang Xiaoyun;Wu Yu;Zhang Yongli(Hainan Meteorological Observation Center,Key Laboratory of Meteorological Disaster Prevention and Reduction in South China Sea,Haikou 570203,China;Hainan Meteorological Station,Haikou 570203,China;School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,China)
出处
《海南大学学报(自然科学版)》
CAS
2022年第2期175-181,共7页
Natural Science Journal of Hainan University
基金
海南省气象科技创新项目(hnqxZC202116)。