基于北斗B2b實時水汽反演性能分析
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中國氣象局氣象探測中心觀測試驗計劃項目(GCSYJH13-04)、廣西科技廳重點研發(fā)計劃基于星地協(xié)同遙感的強對流天氣智能監(jiān)測預警關鍵技術研究與應用(2024AB24097)、北部灣大氣水分循環(huán)綜合觀測試驗項目(BEIGAWEX2023to2028)、廣西氣象局指令性項目廣西“天衡天衍”系統(tǒng)本地化研究(桂氣科2024ZL04)資助


Performance of Real-Time Water Vapour Inversion with BeiDou B2b Service
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    摘要:

    在北京架設GNSS接收機和天線,接收GNSS系統(tǒng)的秒級信號,利用軟件進行數(shù)據(jù)質量檢查,基于北斗導航衛(wèi)星B2b信號發(fā)布的精密單點定位精密星歷,開展了基于精密單點定位的北斗、單GPS和二者融合的實時對流層延遲和大氣可降水量的反演試驗,對比了相應的北斗和GPS雙差網(wǎng)解、無線電探空儀和ERA5的對流層延遲和大氣可降水量。結果顯示:GNSS信號的平均信噪比大于35,多路徑效應優(yōu)于0.5 m,能夠進行有效的GNSS觀測和反演。總體上幾種解算方法一致,與雙差網(wǎng)解相比,基于北斗精密單點定位的大氣對流層延遲反演平均偏差為4.5 mm,均方根誤差為9.94 mm,相關系數(shù)為90%;對應解算的大氣可降水量平均偏差為0.35 mm,均方根誤差為1.33 mm,相關系數(shù)為96%。與無線電探空儀相比,大氣對流層延遲反演平均偏差為5.83 mm,均方根誤差為7.38 mm,相關系數(shù)為95.07%。對應解算的大氣可降水量平均偏差為1.03 mm,均方根誤差為1.72 mm,相關系數(shù)為94.45%。表明基于BDS反演的天頂總延遲、大氣可降水量反演技術使得單系統(tǒng)、單點解算成為可能,該方法采用分布式計算策略,避免了以往臺站端需要將解算數(shù)據(jù)回傳至中心站的帶寬和存儲壓力,提升了水汽解算的實時性,能表征水汽的變化趨勢,對關于水汽的天氣現(xiàn)象和氣象災害監(jiān)測預警都有重要的意義。

    Abstract:

    GNSS receivers and antennas are set up in Beijing to receive the second-level signals of the GNSS system. Data quality checks are conducted using software. Leveraging precise ephemeris data from the BeiDou Navigation Satellite System (BDS) B2b signal, real-time zenith total delay (ZTD) and precipitable water vapour (PWV) retrieval experiments are conducted using BDS Precise Point Positioning (PPP) techniques, single GPS, and their integrated solutions. These results are systematically compared against ZTD/PWV estimates derived from BDS/GPS dual-difference network solutions, radiosonde observations, and ERA5 reanalysis datasets. The results show that the average signal-to-noise ratio of the GNSS signal is greater than 35, and the multipath effect is better than 0.5 m, ensuring robust observational conditions for inversion modelling. Compared with the double-difference network solution, the average deviation of the tropospheric delay inversion based on BeiDou precise point positioning is 4.5 mm, the root mean square error is 9.94 mm, and the correlation coefficient is 90%. The corresponding PWV inversion average deviation is 0.35 mm, the root mean square error is 1.33 mm, and the correlation coefficient is 96%. Compared with radiosonde, the average deviation of the tropospheric delay inversion is 5.83 mm, the RMSE is 7.38 mm, and the correlation coefficient is 95.07%. The corresponding PWV inversion average deviation is 1.03 mm, the root mean square error is 1.72 mm, and the correlation coefficient is 94.45%. This indicates that the ZTD/PWV inversion technology derived from BDS makes single-system and single-point solutions possible. This method adopts a distributed computing strategy, avoiding the bandwidth and storage pressure of returning the solution data to the central station at the station end in the past, improving the real-time performance of water vapour solutions, and can represent the trend of water vapour change. It is of great significance for the monitoring and early warning of weather phenomena and meteorological disasters related to water vapour.

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陶偉,曹云昌,成振華,趙盼盼,梁宏,王乙竹,梁靜舒.基于北斗B2b實時水汽反演性能分析[J].氣象科技,2025,53(4):479~487

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  • 收稿日期:2024-05-24
  • 定稿日期:2025-05-12
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  • 在線發(fā)布日期: 2025-08-27
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