Articles | Volume 18, issue 4
https://doi.org/10.5194/amt-18-843-2025
https://doi.org/10.5194/amt-18-843-2025
Research article
 | 
19 Feb 2025
Research article |  | 19 Feb 2025

GNSS-RO residual ionospheric error (RIE): a new method and assessment

Dong L. Wu, Valery A. Yudin, Kyu-Myong Kim, Mohar Chattopadhyay, Lawrence Coy, Ruth S. Lieberman, C. C. Jude H. Salinas, Jae N. Lee, Jie Gong, and Guiping Liu

Viewed

Total article views: 3,535 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,065 1,202 268 3,535 153 270 309
  • HTML: 2,065
  • PDF: 1,202
  • XML: 268
  • Total: 3,535
  • Supplement: 153
  • BibTeX: 270
  • EndNote: 309
Views and downloads (calculated since 13 May 2024)
Cumulative views and downloads (calculated since 13 May 2024)

Viewed (geographical distribution)

Total article views: 3,535 (including HTML, PDF, and XML) Thereof 3,441 with geography defined and 94 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 03 Nov 2026
Download
Short summary
Global Navigation Satellite System radio occultation data help monitor climate and weather prediction but are affected by residual ionospheric errors (RIEs). A new excess-phase-gradient method detects and corrects RIEs, showing both positive and negative values, varying by latitude, time, and solar activity. Tests show that RIE impacts polar stratosphere temperatures in models, with differences up to 3–4 K. This highlights the need for RIE correction to improve the accuracy of data assimilation.
Share
Altmetrics
Final-revised paper
Preprint