Estimating the refractivity bias of FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) radio occultation in the deep troposphere

Pham, Gia Huan; Yang, Shu-Chih; Chang, Chih-Chien; Chen, Shu-Ya; Huang, Cheng Yung

doi:https://doi.org/10.5194/amt-17-3605-2024

Articles | Volume 17, issue 11

https://doi.org/10.5194/amt-17-3605-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-17-3605-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 11

Research article

|

13 Jun 2024

Research article |

| 13 Jun 2024

Estimating the refractivity bias of FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) radio occultation in the deep troposphere

Gia Huan Pham, Shu-Chih Yang, Chih-Chien Chang, Shu-Ya Chen, and Cheng Yung Huang

Data sets

FS-7 Taiwan Data Processing Center (TDPC) Realtime Central Weather Bureau (Taiwan) and Taiwan Space Agency (TASA) https://tacc.cwb.gov.tw/data-service/fs7rt_tdpc/

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

Model code and software

jiajia170801/bias_estimation_paper: First Publicity 2023/06/10 (Papers) jiajia170801 https://doi.org/10.5281/zenodo.8021390

Short summary

This research examines the characteristics of low-level GNSS radio occultation (RO) refractivity bias over ocean and land and its dependency on the RO retrieval uncertainty, atmospheric temperature, and moisture. We propose methods for estimating the region-dependent refractivity bias. Our methods can be applied to calibrate the refractivity bias under different atmospheric conditions and thus improve the applications of the GNSS RO data in the deep troposphere.