Preprints
https://doi.org/10.5194/egusphere-2023-613
https://doi.org/10.5194/egusphere-2023-613
05 May 2023
 | 05 May 2023

Impact Analysis of processing strategies on Long-term GPS ZTD

Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, and Jingnan Liu

Abstract. Homogenized atmospheric water vapor is an important prerequisite for climate analysis. Compared with other techniques, GPS has inherent homogeneity advantage, but it still requires reprocessing and homogenization to eliminate impacts of applied strategy and observation environmental changes where a selection of proper processing strategies is critical. This paper comprehensively investigates an influence of the mapping function, the elevation cut-off angle and homogenization on long-term reprocessing results, in particular for Zenith Tropospheric Delays (ZTD) products, by using GPS observations at 46 IGS stations during 1995 to 2014. In the analysis, for the first time, we included the latest mapping function (VMF3) and exploited homogenized radiosonde data as a reference for ZTD trend evaluations. Our analysis shows that both site position and ZTD solutions achieved the best accuracy when using VMF3 and 3° elevation cut-off angle. Regarding the long-term ZTD trends, results show that the impact of mapping functions is very small, with a maximum difference of 0.3 mm/yr. On the other hand, the discrepancy can reach 2.5 mm/yr by using different elevation cut-off angles. Contrary to recommendations by previous studies, the low elevation cut-off angles (3° or 7°) are suggested for the best estimates of ZTD reprocessing time series when compared to homogenized radiosonde data or ERA5 reference time series. This conclusion has great significance by eliminating the conflict of different optimal elevation cut-off angles for climate analysis and other applications from GNSS data reprocessing.

Journal article(s) based on this preprint

07 Nov 2023
Impact analysis of processing strategies for long-term GPS zenith tropospheric delay (ZTD)
Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, and Jingnan Liu
Atmos. Meas. Tech., 16, 5249–5259, https://doi.org/10.5194/amt-16-5249-2023,https://doi.org/10.5194/amt-16-5249-2023, 2023
Short summary

Jingna Bai et al.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-613', Anonymous Referee #1, 22 May 2023
  • RC2: 'Comment on egusphere-2023-613', Anonymous Referee #2, 24 May 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-613', Anonymous Referee #1, 22 May 2023
  • RC2: 'Comment on egusphere-2023-613', Anonymous Referee #2, 24 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yidong Lou on behalf of the Authors (11 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Jul 2023) by Roeland Van Malderen
RR by Anonymous Referee #1 (28 Jul 2023)
RR by Anonymous Referee #2 (13 Aug 2023)
ED: Publish subject to minor revisions (review by editor) (21 Aug 2023) by Roeland Van Malderen
AR by Yidong Lou on behalf of the Authors (30 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Sep 2023) by Roeland Van Malderen
AR by Yidong Lou on behalf of the Authors (18 Sep 2023)

Journal article(s) based on this preprint

07 Nov 2023
Impact analysis of processing strategies for long-term GPS zenith tropospheric delay (ZTD)
Jingna Bai, Yidong Lou, Weixing Zhang, Yaozong Zhou, Zhenyi Zhang, Chuang Shi, and Jingnan Liu
Atmos. Meas. Tech., 16, 5249–5259, https://doi.org/10.5194/amt-16-5249-2023,https://doi.org/10.5194/amt-16-5249-2023, 2023
Short summary

Jingna Bai et al.

Jingna Bai et al.

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
Homogenized atmospheric water vapor is an important prerequisite for climate analysis. Compared with other techniques, GPS has inherent homogeneity advantage, but it still requires reprocessing and homogenization to eliminate impacts of applied strategy and observation environmental changes. The low elevation cut-off angles are suggested for the best estimates of ZTD reprocessing time series when compared to homogenized radiosonde data or ERA5 reference time series.