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

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

doi:https://doi.org/10.5194/gmd-16-7223-2023

Articles | Volume 16, issue 24

https://doi.org/10.5194/gmd-16-7223-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-7223-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 24

Model experiment description paper

|

14 Dec 2023

Model experiment description paper |

| 14 Dec 2023

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

Data sets

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 https://doi.org/10.5281/zenodo.8206173

Short summary

The existing zenith tropospheric delay (ZTD) models have limitations such as using a single fitting function, neglecting daily cycle variations, and relying on only one resolution grid data point 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.