The Impact of Atmospheric Mass Loading on Precise Positioning of National GNSS Stations View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Yangyang Liu , Yamin Dang , Changhui Xu

ABSTRACT

In the calculation of high-precision GNSS data, solid tides, tides and atmospheric tides are not negligible factors in the solution process. In the present study, a large number of studies have been conducted on the effects of tidal load. The results show that the tide load The impact can reach the magnitude of cm. Relatively speaking, ATML is weak and there are few studies, but it is still a non-negligible interference factor, especially for the data calculation of national stations For example In this paper, GAMIT/GLOBK is used to solve the data of national stations in some provincial areas in 2017. The differences between ATML correction models and different stations are analyzed. The influence of ATML on the accuracy of GNSS baseline solution and station displacement is compared. The results show that the influence of ATML correction model on the baseline solution of regional GNSS is not related to the station location. ATML is insensitive to the influence of the baseline length, but it has an impact on station positioning and can bring about 1–2 mm, and mainly in the U direction, N, E direction of the small, can be ignored. The results also show that the impact of ATML on national stations in solving data is negligible, as is the case in engineering applications and in general scientific research, but corrections are necessary for solutions with higher precision requirements, however At present, there are few models of atmospheric mass load correction applied to baseline solution, so it is worth further study to determine the optimal correction model and eliminate its influence. More... »

PAGES

255-263

Book

TITLE

China Satellite Navigation Conference (CSNC) 2018 Proceedings

ISBN

978-981-13-0004-2
978-981-13-0005-9

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-13-0005-9_22

DOI

http://dx.doi.org/10.1007/978-981-13-0005-9_22

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103780147


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