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Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data
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 nowcastin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244203/ https://www.ncbi.nlm.nih.gov/pubmed/30459438 http://dx.doi.org/10.1038/s41598-018-35155-3 |
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author | Pan, Lin Guo, Fei |
author_facet | Pan, Lin Guo, Fei |
author_sort | Pan, Lin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6244203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62442032018-11-28 Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data Pan, Lin Guo, Fei Sci Rep Article 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. Nature Publishing Group UK 2018-11-20 /pmc/articles/PMC6244203/ /pubmed/30459438 http://dx.doi.org/10.1038/s41598-018-35155-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pan, Lin Guo, Fei Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data |
title | Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data |
title_full | Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data |
title_fullStr | Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data |
title_full_unstemmed | Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data |
title_short | Real-time tropospheric delay retrieval with GPS, GLONASS, Galileo and BDS data |
title_sort | real-time tropospheric delay retrieval with gps, glonass, galileo and bds data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244203/ https://www.ncbi.nlm.nih.gov/pubmed/30459438 http://dx.doi.org/10.1038/s41598-018-35155-3 |
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