Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 11
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

Viewed

Total article views: 1,229 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
901 281 47 1,229 42 40
  • HTML: 901
  • PDF: 281
  • XML: 47
  • Total: 1,229
  • BibTeX: 42
  • EndNote: 40
Views and downloads (calculated since 18 Jul 2023)
Cumulative views and downloads (calculated since 18 Jul 2023)

Viewed (geographical distribution)

Total article views: 1,229 (including HTML, PDF, and XML) Thereof 1,200 with geography defined and 29 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 May 2025
Download
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.
Read more
Share