Preprints
https://doi.org/10.5194/gmd-2023-139
https://doi.org/10.5194/gmd-2023-139
Submitted as: model experiment description paper
 | 
11 Aug 2023
Submitted as: model experiment description paper |  | 11 Aug 2023
Status: this preprint is currently under review for the journal GMD.

A global grid model for the estimation of zenith tropospheric delay considering the variations at different altitudes

Liangke Huang, Shengwei Lan, Ge Zhu, Fade Chen, Junyu Li, and Lilong Liu

Abstract. The accuracy of tropospheric delay correction heavily depends on the quality of the tropospheric model, and zenith tropospheric delay (ZTD) is an important factor affecting the tropospheric delay. Therefore, it is essential to establish a precise ZTD empirical model. The existing ZTD models have limitations such as using a single fitting function, neglecting daily cycle variations, and relying on only one resolution grid data for modeling. To address these limitations, we propose a global piecewise ZTD empirical grid (GGZTD-P) model. This model considers the daily-cycle variation and latitude factor of ZTD, using the sliding window algorithm based on fifth-generation European Centre for Medium Range Weather Forecasts (ERA5) atmospheric reanalysis data. The ZTD data from 545 radiosonde stations and the second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) atmospheric reanalysis data are used to validate the accuracy of the GGZTD-P model. The results indicate that the GGZTD-P model outperforms the GPT3 model, exhibiting 26 % and 53 % lower bias and RMS, respectively, when using radiosonde stations as reference values. Furthermore, when evaluated using MERRA-2 atmospheric reanalysis data, the GGZTD-P model consistently exhibits superior performance across various latitude regions. It’s expected that application of this new model will provide improved services for high-precision GNSS positioning and GNSS meteorology.

Liangke Huang et al.

Status: open (until 13 Oct 2023)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-139', Anonymous Referee #1, 20 Sep 2023 reply
  • RC2: 'Comment on gmd-2023-139', Anonymous Referee #2, 23 Sep 2023 reply
  • RC3: 'Comment on gmd-2023-139', Anonymous Referee #3, 27 Sep 2023 reply

Liangke Huang et al.

Liangke Huang et al.

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Short summary
The existing ZTD models have limitations such as using a single fitting function, neglecting daily cycle variations, and relying on only one resolution grid data for modeling. This model considers the daily-cycle variation and latitude factor of ZTD, using the sliding window algorithm based on ERA5 atmospheric reanalysis data. The ZTD data from 545 radiosonde stations and MERRA-2 atmospheric reanalysis data are used to validate the accuracy of the GGZTD-P model.