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- Title
气象参数对地基GNSS 反演水汽的影响探讨.
- Authors
王开通
- Abstract
As an important error source of GNSS retrieval of atmospheric water vapor, meteorological parameters directly affect the accuracy of PWV and ZWD in GNSS atmospheric remote sensing. In order to clarify the influence of meteorological parameters on the estimation of atmospheric water vapor by GNSS, this paper described the principles of this process. Then, the effects of 4 different meteorological parameter schemes were discussed, including GPT, ground observation data RNX (RNX, VMF1), ECMWF, and PWV. The high precision GPS data processing software (GAMIT) was adopted to get the PWV, which was also compared with the observed data measured by water vapor radiometer. The results show that only RNX can be consistent with the high precision water vapor radiometer result, followed by ECMWF data, which shows that the RNX can effectively ensure the reliability of GNSS remote sensing PWV. At the same time, all the results also indicate that the accuracy PWV of GNSS remote sensing using different meteorological parameters is 1. 38~ 1. 84 mm, which fully meets the requirements of GNSS remote sensing of atmospheric water vapor content.
- Publication
Railway Investigation & Surveying, 2022, Vol 48, Issue 1, p12
- ISSN
1672-7479
- Publication type
Article
- DOI
10.19630/j.cnki.tdkc.202012080001