Acta Geodaetica et Cartographica Sinica ›› 2021, Vol. 50 ›› Issue (5): 685-694.doi: 10.11947/j.AGCS.2021.20200515

• Cartography and Geoinformation • Previous Articles     Next Articles

A global grid model for the vertical correction of zenith wet delay based on the sliding window algorithm

HUANG Liangke1,2, ZHU Ge1,2, PENG Hua1,2, CHEN Hua3, LIU Lilong1,2, JIANG Weiping4   

  1. 1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China;
    2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China;
    3. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    4. GNSS Research Center, Wuhan University, Wuhan 430079, China
  • Received:2020-10-20 Revised:2021-03-15 Published:2021-06-03
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41704027;41864002;41664002);The Guangxi Natural Science Foundation of China (Nos. 2017GXNSFBA198139;2017GXNSFDA198016;2018GXNSFAA281182);The National Key Research and Development Program (No. SQ2018YFC150052);The Guangxi Key Laboratory of Spatial Information and Geomatics (No. 19-050-11-02);The Open Fund of Hunan Natural Resources Investigation and Monitoring Engineering Technology Research Center (No. 2020-9);The "Ba Gui Scholars" Program of the Provincial Government of Guangxi

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Abstract: Tropospheric delay is an important error source in Global Navigation Satellite System (GNSS) positioning. Some shortages still exist in current global zenith wet delay (ZWD) vertical stratification models, such as only single gridded data as well as monthly profiles is used for modeling. To address those of drawbacks, a new approach, the sliding window algorithm, is proposed to develop the ZWD vertical stratification model. In this work, the ZWD vertical stratification model that considering seasonal variations of ZWD height scale factor is developed, named as GZWD-H model. The ZWD layered profiles from 321 radiosonde sites in 2017 are treated as reference values, to evaluate the performance of GZWD-H model in layered vertical interpolation and its application in spatial interpolation for GGOS (global geodetic observing system) atmosphere gridded ZWD. Besides, the performance of GZWD-H model is compared to the GPT2w model. The results show that GZWD-H model shows the best performance in the ZWD layered vertical interpolation against the ZWD layered profiles from globally distributed radiosonde sites. In terms of RMS, the GZWD-H model has improved by 4% and 7% compared to the GPT2w-1 and GPT2w-5 models, respectively. Compared to GPT2w-1 and GPT2w-5 models, GZWD-H model has improved by 17% and 35% in spatial interpolation for GGOS Atmosphere gridded ZWD against surface ZWD calculated from radiosonde profiles over globe, respectively. In terms of model parameters, GZWD-H model has been significantly reduced and optimized against GPT2w-1 model, thus, the applicability of this model could be enhanced in GNSS atmospheric sounding and GNSS precise position.

Key words: sliding window algorithm, tropospheric delay model, zenith wet delay, vertical stratification

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