地基北斗大气水汽反演及其精度分析
Retrieval of Atmospheric Water Vapor from Beidou System and Its Accuracy Analysis
摘要: 本文研究了基于北斗三号全球卫星导航系统(BDS-3)的大气水汽反演技术及其精度分析。大气水汽是气象演变中的重要参数,对降水、天气系统演变和全球气候变化等具有重要影响。传统的大气水汽探测方法存在成本高、时空分辨率低等问题。因此,本文利用北斗三号地球静止轨道(GEO)卫星播发的PPP-B2b信号,采用实时精密单点定位技术,实现了台站处分布式高时效、高精度对流层延迟解算和大气水汽含量反演。在上海、河池和海口三个地区进行了水汽试验,并利用同址探空和GPS水汽数据进行试验数据准确性比对评估分析。结果表明,实时水汽产品的平均RMS在3 mm左右,与目前准业务运行的GPS水汽产品精度相当。该研究为大气水汽含量反演、水汽业务建设提供了重要的参考依据,对于中小尺度极端强对流天气系统监测、台风监测和短临预报具有重要的应用价值。
Abstract:
This paper investigates the atmospheric water vapor retrieval technology based on the BeiDou-3 Global Satellite Navigation System (BDS-3) and analyzes its accuracy. Atmospheric water vapor is a crucial parameter in meteorological evolution, significantly impacting precipitation, weather system evolution, and global climate change. Traditional methods for detecting atmospheric water vapor have issues such as high cost and low spatial and temporal resolution. Therefore, this paper utilizes the PPP-B2b signal broadcast by the BeiDou-3 Geostationary Orbit (GEO) satellite, adopting real-time precise point positioning technology to achieve distributed, high-efficiency, high-precision tropospheric delay resolution, and atmospheric water vapor content retrieval at stations. Water vapor experiments were conducted in Shanghai, Hechi, and Haikou, and the accuracy of the experimental data was compared and evaluated using collocated radiosonde and GPS water vapor data. The results show that the average RMS of real-time water vapor products is around 3 mm, which is comparable to the accuracy of currently quasi-operational GPS water vapor products. This study provides an important reference for atmospheric water vapor content retrieval and water vapor service construction, and has significant application value for monitoring small and medium-scale extreme severe convective weather systems, typhoon monitoring, and short-term forecasting.
参考文献
|
[1]
|
姚宜斌, 张顺, 孔建. GNSS空间环境学研究进展和展望[J]. 测绘学报, 2017, 46(10): 1408-1420.
|
|
[2]
|
Askne, J. and Nordius, H. (2016) Estimation of Tropospheric Delay for Microwaves from Surface Weather Data. Radio Science, 22, 379-386. [Google Scholar] [CrossRef]
|
|
[3]
|
Gradinarsky, L.P., Johansson, J.M., Bouma, H.R., et al. (2002) Climate Monitoring Using GPS. Physics & Chemistry of the Earth Parts A/B/C, 27, 335-340. [Google Scholar] [CrossRef]
|
|
[4]
|
Benevides, P.C.G., Pardini, M., de Paula, E.R., et al. (2017) Comparative Analysis between Galileo and GPS Systems to Detect Water Vapour Changes in the Atmosphere. GPS Solutions, 21, 1-12.
|
|
[5]
|
赵静旸, 解琨, 刘经南. 利用ERA-Interim资料在中国区域获取高精度气象参数的方法及其在GPS/PWV解算中的应用[J]. 地球物理学报, 2018, 61(5): 1725-1739.
|
|
[6]
|
王俊杰, 何秀凤. 综合GPS和NCEP CFSv2的区域PWV估计方法[J]. 武汉大学学报(信息科学版), 2017(3): 328-333.
|
|
[7]
|
张双成, 赵立都, 吕旭阳, 等. GPS水汽在雾霾天气监测中的应用研究[J]. 武汉大学学报(信息科学版), 2018, 43(3): 451-456.
|
|
[8]
|
黄良珂, 李琛, 王浩宇, 等. 基于GPT2w模型计算中国地区对流层加权平均温度的精度分析[J]. 大地测量与地球动力学, 2019, 39(5): 496-501.
|