Research on precipitable water vapor inversion influencing factors of GNSS for offshore mobile platforms

doi:10.3969/j.issn.1001-909X.2024.02.007

Abstract

Abstract:

Based on Global Navigation Satellite System (GNSS) dynamic precision point positioning technology (PPP), the influence factors of precipitable water vapor (PWV) detection over the ocean were studied. The sampling interval, satellite masking angle, PPP solution method (fixed solution or floating point solution), and the influence of Beidou satellite system combination on ocean PWV retrieval were mainly analyzed. In the marine observation environment, the results show that the accuracy of PWV inversion is the highest when the sampling interval is 30 s. When the number of available satellites is small, the accuracy of PWV inversion is better when the satellite masking angle is set to 5°-10°, and the accuracy decreases gradually with the increase of the satellite masking angle. Whether the PPP solution is fixed or not, it has little effect on the accuracy of PWV inversion. On the basis of GPS/GLONASS system combination, adding Beidou observation value will improve the redundancy of observation and improve the accuracy of PWV inversion.

Key words: offshore mobile platform, precise point positioning (PPP), Beidou Navigation Satellite System (BDS), precipitable water vapor(PWV), influencing factors

CLC Number:

P228.49
P426

CAO Kai, LUO Xiaowen, WEN Song, YOU Wei. Research on precipitable water vapor inversion influencing factors of GNSS for offshore mobile platforms[J]. Journal of Marine Sciences, 2024, 42(2): 71-80.

Figures/Tables 10

Tab.1 Summary table of PPP processing strategy

参数	策略
处理模式	动态处理
卫星观测系统	GPS、GLONASS、BDS
观测值类型	伪距和载波相位
频率	GPS/GLONASS(L1,L2),BDS(B1,B2)
卫星天线相位中心改正	igs14.atx
接收机天线相位中心改正	igs14.atx
海潮改正模型	FES2004.BLQ
映射函数	GMF
相位缠绕改正	模型改正
相对论效应	模型改正
卫星轨道和钟差	wum最终产品
接收机钟差	白噪声
电离层模型	Ionosphere-Free-LC
对流层模型	参数估计
滤波	扩展卡尔曼滤波
模糊度固定方法	浮点解/固定解

Fig.1 The comparison of PWV values calculated by different pressure layers (a) and the corresponding difference statistics (b)

Fig.2 Comparison of PWV inversion values under different sampling intervals with those calculated from sounding radiosonde station

Tab.2 Statistics of the mean deviation and root mean square error between the PWV inversion values derived from different sampling intervals and those calculated from sounding radiosonde station

采样间隔/s	平均偏差/mm	均方根误差/mm
30	-2.36	6.34
60	-2.24	6.54
90	-1.72	7.10

Fig.3 Comparison of PWV inversion values under different satellite masking angles with those calculated from sounding radiosonde station

Tab.3 Statistics of the mean deviation and root mean square error between the PWV inversion values obtained under different satellite masking angles and those calculated from sounding radiosonde station

卫星截止高度角/(°)	平均偏差/mm	均方根误差/mm
5	-2.08	6.38
10	-2.36	6.34
15	-2.90	7.26
20	-3.42	7.53

Fig.4 The valid number of satellites under different satellite masking angle processing strategies

Fig.5 Comparison of PWV inversion values derived from different PPP processing methods with those calculated from sounding radiosonde station

Tab.4 Statistics of the mean deviation and root mean square error between the PWV inverted from different PPP processing methods and satellite combinations, and those calculated from sounding radiosonde station

方法	平均偏差/mm	均方根误差/mm
浮点解(GPS/GLONASS)	-2.36	6.34
固定解(GPS/GLONASS)	-0.71	6.27
固定解(GPS/GLONASS/BDS)	0.23	5.20

Fig.6 Comparison of PWV inversion values derived from different satellite constellation combinations with those calculated from sounding radiosonde station (G/R represents the combination of GPS/GLONASS satellite systems, while G/R/B represents the combination of GPS/GLONASS/BDS satellite systems.)

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