A troposphere tomography method considering the weighting of input information
Troposphere tomography measurement using a global navigation satellite system (GNSS) generally consists of several types of input information including the observation equation, horizontal constraint equation, vertical constraint equation, and a priori constraint equation. The reasonable weight...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Copernicus Publications
2017-12-01
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Series: | Annales Geophysicae |
Online Access: | https://www.ann-geophys.net/35/1327/2017/angeo-35-1327-2017.pdf |
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author | Q. Zhao Y. Yao Y. Yao W. Yao |
author_facet | Q. Zhao Y. Yao Y. Yao W. Yao |
author_sort | Q. Zhao |
collection | DOAJ |
description | Troposphere tomography measurement using a global navigation
satellite system (GNSS) generally consists of several types of input
information including the observation equation, horizontal
constraint equation, vertical constraint equation, and a priori
constraint equation. The reasonable weightings of input information
are a prerequisite for ensuring the reliability of the adjustment
of the parameters. This forms the focus of this research, which
tries to determine the weightings, including the observations, for the
same type of equation and the optimal weightings for
different types of equations. The optimal weightings of the proposed
method are realized on the basis of the stable equilibrium
relationship between different types of a posteriori unit weight
variances, which are capable of adaptively adjusting the weightings
for different types of equations and enables the ratio between the
two arbitrary a posteriori unit weight variances to tend to
unity. A troposphere tomography experiment, which was used to
consider these weightings, was implemented using global positioning
system (GPS) data from the Hong Kong Satellite Positioning Reference
Station Network (SatRef). Numerical results show the applicability
and stability of the proposed method for GPS troposphere tomography
assessment under different weather conditions. In addition, the root mean square (RMS) error in the
water vapor density differences between tomography-radiosonde and tomography-ECMWF (European Centre for
Medium-Range Weather Forecasts)
are 0.91 and 1.63 g m<sup>−3</sup>, respectively, over a 21-day test. |
first_indexed | 2024-04-14T01:00:57Z |
format | Article |
id | doaj.art-e34b62c28ca14adeb70cdae5d3fd161b |
institution | Directory Open Access Journal |
issn | 0992-7689 1432-0576 |
language | English |
last_indexed | 2024-04-14T01:00:57Z |
publishDate | 2017-12-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Annales Geophysicae |
spelling | doaj.art-e34b62c28ca14adeb70cdae5d3fd161b2022-12-22T02:21:25ZengCopernicus PublicationsAnnales Geophysicae0992-76891432-05762017-12-01351327134010.5194/angeo-35-1327-2017A troposphere tomography method considering the weighting of input informationQ. Zhao0Y. Yao1Y. Yao2W. Yao3College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaKey Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079, ChinaCollege of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, ChinaTroposphere tomography measurement using a global navigation satellite system (GNSS) generally consists of several types of input information including the observation equation, horizontal constraint equation, vertical constraint equation, and a priori constraint equation. The reasonable weightings of input information are a prerequisite for ensuring the reliability of the adjustment of the parameters. This forms the focus of this research, which tries to determine the weightings, including the observations, for the same type of equation and the optimal weightings for different types of equations. The optimal weightings of the proposed method are realized on the basis of the stable equilibrium relationship between different types of a posteriori unit weight variances, which are capable of adaptively adjusting the weightings for different types of equations and enables the ratio between the two arbitrary a posteriori unit weight variances to tend to unity. A troposphere tomography experiment, which was used to consider these weightings, was implemented using global positioning system (GPS) data from the Hong Kong Satellite Positioning Reference Station Network (SatRef). Numerical results show the applicability and stability of the proposed method for GPS troposphere tomography assessment under different weather conditions. In addition, the root mean square (RMS) error in the water vapor density differences between tomography-radiosonde and tomography-ECMWF (European Centre for Medium-Range Weather Forecasts) are 0.91 and 1.63 g m<sup>−3</sup>, respectively, over a 21-day test.https://www.ann-geophys.net/35/1327/2017/angeo-35-1327-2017.pdf |
spellingShingle | Q. Zhao Y. Yao Y. Yao W. Yao A troposphere tomography method considering the weighting of input information Annales Geophysicae |
title | A troposphere tomography method considering the weighting of input information |
title_full | A troposphere tomography method considering the weighting of input information |
title_fullStr | A troposphere tomography method considering the weighting of input information |
title_full_unstemmed | A troposphere tomography method considering the weighting of input information |
title_short | A troposphere tomography method considering the weighting of input information |
title_sort | a troposphere tomography method considering the weighting of input information |
url | https://www.ann-geophys.net/35/1327/2017/angeo-35-1327-2017.pdf |
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