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利用GPS、GLONASS、伽利略和北斗数据进行对流层延迟实时反演。

Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data.

作者信息

Pan Lin, Guo Fei

机构信息

School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China.

出版信息

Sci Rep. 2018 Nov 20;8(1):17067. doi: 10.1038/s41598-018-35155-3.

DOI:10.1038/s41598-018-35155-3
PMID:30459438
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6244203/
Abstract

The precise point positioning (PPP) is a promising technology for the real-time retrieval of atmospheric parameters with a single receiver in anywhere, all-weather and any time. The real-time atmospheric parameters can be applied to the time-critical meteorology, such as the severe weather nowcasting. The PPP is a satellite-based technology. Multi-constellation integration can enhance satellite geometry and increase measurement redundancy so that the solutions of atmospheric parameters are expected to be improved. Currently, the Global Navigation Satellite System (GNSS) family includes recovered GLONASS and modernized GPS as well as the emerging Galileo and BDS. A week of GNSS observations from 160 stations are processed to retrieve the tropospheric zenith total delay (ZTD) in real time. The four-constellation mixed real-time precise products including satellite orbit and clock corrections are adopted, and their quality is evaluated. The performance of ZTD estimates is assessed in terms of accuracy and convergence time by comparing with final tropospheric ZTD products provided by two analysis centers. The ZTDs retrieved from different constellation combinations (i.e., GPS/GLONASS/Galileo/BDS, GPS/GLONASS, and GPS-only), different processing models for ionospheric delays (i.e., ionospheric-free (IF) combined PPP, and uncombined (UC) PPP), and different modes (i.e., real-time mode, and post-processing mode) are compared.

摘要

精确点定位（PPP）是一项很有前景的技术，可在任何地点、全天候、任何时间通过单个接收机实时反演大气参数。实时大气参数可应用于对时间要求严格的气象学领域，如恶劣天气临近预报。PPP是一种基于卫星的技术。多星座集成可以改善卫星几何构型并增加测量冗余度，从而有望改进大气参数的解算。目前，全球导航卫星系统（GNSS）家族包括恢复后的格洛纳斯（GLONASS）、现代化的全球定位系统（GPS）以及新兴的伽利略（Galileo）和北斗卫星导航系统（BDS）。处理了来自160个站点的一周GNSS观测数据，以实时反演对流层天顶总延迟（ZTD）。采用了包括卫星轨道和钟差改正的四星混合实时精密产品，并对其质量进行了评估。通过与两个分析中心提供的最终对流层ZTD产品进行比较，从精度和收敛时间方面评估了ZTD估计的性能。比较了从不同星座组合（即GPS/GLONASS/Galileo/BDS、GPS/GLONASS和仅GPS）、不同电离层延迟处理模型（即无电离层（IF）组合PPP和非组合（UC）PPP）以及不同模式（即实时模式和后处理模式）反演得到的ZTD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/18aa46d9073d/41598_2018_35155_Fig16_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/18aa46d9073d/41598_2018_35155_Fig16_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/9347ce816cbf/41598_2018_35155_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/cad881a84e54/41598_2018_35155_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/c06249163db6/41598_2018_35155_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/f34f51b7e253/41598_2018_35155_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/e070f94f275d/41598_2018_35155_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/e7a826270004/41598_2018_35155_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/26378bda081a/41598_2018_35155_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/ffc2f77ee5dd/41598_2018_35155_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/4274785aac0c/41598_2018_35155_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/1e626f4395ef/41598_2018_35155_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/46febdd4fa62/41598_2018_35155_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/35ae434886bc/41598_2018_35155_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/c08b8744aae9/41598_2018_35155_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/8e40da66b806/41598_2018_35155_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a3a/6244203/18aa46d9073d/41598_2018_35155_Fig16_HTML.jpg

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本文引用的文献

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