| 基于PPP和双差网解法的GNSS水汽反演效果分析 |
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| 引用本文： | 吴琼,涂满红.基于PPP和双差网解法的GNSS水汽反演效果分析[J].气象与减灾研究,2023,46(4):296-303. |
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| 作者姓名： | 吴琼 涂满红 |
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| 作者单位： | 江西省气象科学研究所;宜春市气象局;中国气象局 气象探测中心 |
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| 基金项目： | 中国气象局气象探测中心观测试验项目（编号：SY2021023）；江西省气象局面上项目（编号：JX2022M04）. |
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| 摘 要： | 基于2021年5—7月GPS卫星资料，采用精密单点定位(Precise Point Positioning，PPP)和双差网解两种算法进行了大气可降水量（Precipitable Water Vapor，PWV）反演，利用同址探空水汽资料，对比分析了PPP算法与双差网解法计算的PWV反演精度。结果表明，PPP算法和双差网解法反演出的PWV随时间变化的趋势基本一致。两种算法反演出的PWV结果合理，与探空PWV相比，采用PPP和双差网解两种算法反演的PWV相对偏差均小于2.4 mm、绝对偏差在4 mm以下，均方差约4 mm，与探空PWV相关系数均在0.87以上，均能较好地反映大气中水汽含量的变化情况，两种算法均具备较强的水汽反演能力，双差网解法反演的PWV在相关性、精度上略优于PPP算法。PPP算法可实现单站水汽高时间分辨率反演，对于获取台站高时效、高精度的大气水汽探测产品具备优势。
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| 关 键 词： | GNSS PPP 双差网解 大气可降水量 |
| 收稿时间： | 2023/8/9 0:00:00 |
| 修稿时间： | 2023/11/27 0:00:00 |
Analysis of GNSS water vapor inversion effect based on PPP and double difference net solution |
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| Wu Qiong,Tu Manhong.Analysis of GNSS water vapor inversion effect based on PPP and double difference net solution[J].Meteorology and Disaster Reduction Research,2023,46(4):296-303. |
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| Authors: | Wu Qiong Tu Manhong |
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| Institution: | Jiangxi Provincial Meteorological Science Institute;Yichun Meteorological Bureau; Meteorological Observation Center, China Meteorological Administration |
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| Abstract: | Based on the GPS data from May to July in 2021, the precipitable water vapor (PWV) was calculated by using the precise point positioning (PPP) algorithm and the double-difference algorithm through networking. The PWV precision obtained by PPP algorithm was compared and analyzed with that by double-difference network algorithm and the PWV of sounding at the same site. The results showed that the PWV obtained by PPP Algorithm and double-difference network method presented the same trend with time. The results of PWV calculated by the two algorithms were reasonable. Compared with PWV of sounding, the relative deviations of PWV calculated by the two inversion algorithms were less than 2.4 mm, the absolute deviations were less than 4 mm, and the mean square deviations were about 4 mm. The correlation coefficients with PWV of sounding system were more than 0.87, indicating that both of the PWV can reflect the variation of water vapor in the atmosphere, and both of the two algorithms exhibited strong ability to calculate water vapor. The double difference network method was slightly better than the PPP algorithm in terms of correlation and accuracy in inverting PWV. PPP algorithm achieved high temporal resolution of water vapor at a single station, showing that it had advantages in obtaining high time effectiveness and high precision products of atmospheric water vapor detection. |
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| Keywords: | GNSS Precise Point Positioning double difference algorithm through network Precipitable Water Vapor |
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