Performance analysis of water vapor detection based on BeiDou precise ephemeris products
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摘要: 研究北斗卫星导航系统(BDS)反演大气可降水量的性能有利于推动BDS在数值天气预报、气象学研究等方面的应用. 基于武汉大学发布的BDS最终精密星历产品(WUM)、快速精密星历产品(WHR)和超快速精密星历产品(WHU),利用MGEX站和单基站连续运行参考站(CORS)提供的全球卫星导航系统(GNSS)多模观测数据,在验证三种BDS精密星历产品解算对流层天顶延迟的精度达到要求后,将基于三种BDS精密星历产品解算的大气可降水量分别与GPS水汽探测结果、ERA-5再分析资料和探空站数据进行对比,分析基于三种精密星历产品的BDS水汽探测性能. 实验结果表明:基于BDS最终精密星历产品的大气水汽探测精度高于快速星历产品和超快速星历产品,三种BDS星历产品反演大气可降水量的相对精度和可靠性与GPS相当,满足中小尺度数值天气预报和气象学研究等要求.
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关键词:
- 北斗 /
- 精密星历 /
- 大气可降水量 /
- MGEX /
- ERA-5再分析资料
Abstract: Reserch on the performance of BeiDou satellite navigation system in retrieving atmospheric precipitable water is conducive to promoting the application of BeiDou in numerical weather forecasting and meteorology research. Based on BeiDou final precise ephemeris (WUM) products, rapid ephemeris products (WHR) and ultra rapid ephemeris (WHU) products released by Wuhan University, Using GNSS multimode observation data provided by MGEX station and single CORS station, after verifying that the accuracy of tropospheric zenith delay calculated by the three BeiDou precise ephemeris products meets the requirements, the atmospheric precipitable water vapor calculated by the three BeiDou precise ephemeris products is compared with GPS water vapor detection results, ERA-5 reanalysis data and sounding station data respectively, and the BeiDou water vapor detection performance based on the three precise ephemeris products is analyzed.The experimental results show that the precision of atmospheric water vapor detection based on BeiDou final precise ephemeris products is higher than that of fast ephemeris products and ultra rapid ephemeris products, and the relative accuracy and reliability of atmospheric precipitation inversion of the three kinds of BeiDou ephemeris products are equivalent to that of GPS, which meets the requirements of small and medium scale numerical weather forecasting and meteorology research.-
Key words:
- BDS /
- precise ephemeris /
- precipitable water vapor /
- MGEX /
- ERA-5 reanalysis datasets
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