Journal of Astronautics ›› 2020, Vol. 41 ›› Issue (5): 586-591.doi: 10.3873/j.issn.1000-1328.2020.05.009

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Estimating Zenith Tropospheric Delay Based on Multi Source Data#br#

LIU Zan, CHEN Xi hong, LIU Qiang, ZHANG Shuang   

  1. 1.Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China; 2.Unit 93567 of Chinese Peopls’s Liberation Army, Laishui, 074100, China
  • Received:2019-06-10 Revised:2019-08-31 Online:2020-05-15 Published:2020-05-25

Abstract: To improve the estimation performance of zenith tropospheric delay (ZTD), the way based on multi-source data is developed in this paper. The hydrostatic and wet component are estimated by Saastamoinen model and Askne model, respectively. The surface meteorology employed by those two models are measured by related devices, global pressure and temperature 2w (GPT2w) model provides the weighted mean temperature, lapse rate of temperature and water vapor decrease factor for Askne model. Once surface meteorological measurements are absent, all meteorological parameters are estimated by GPT2w. Proposed models are tested through the data provided by international GPS service (IGS), results indicate that when surface meteorological parameters are available, the annual accuracy is improved by 8mm than Saastamoinen model. Meanwhile, annual bias of other scheme is decreased by 8.1 mm than GPT2w+Saastamoinen model. For most stations, the bias shows seasonal characteristics, high elevation and dry weather can bring less bias.

Key words: Tropospheric zenith tropospheric delay, GPT2w model, Saastamoinen model, Askne model

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