Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 19, issue 16
Articles | Volume 19, issue 16
https://doi.org/10.5194/amt-19-5509-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-19-5509-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 16
Research article
 | 
27 Aug 2026
Research article |  | 27 Aug 2026

Impact of ROMEX Radio Occultation bending angle assimilation on mesoscale weather prediction over the Indian Region

Randhir Singh, Satya P. Ojha, Kudilil Faisal Muhammed, and Richard Anthes

Viewed

Total article views: 710 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
493 164 53 710 49 44
  • HTML: 493
  • PDF: 164
  • XML: 53
  • Total: 710
  • BibTeX: 49
  • EndNote: 44
Views and downloads (calculated since 20 May 2026)
Cumulative views and downloads (calculated since 20 May 2026)

Viewed (geographical distribution)

Total article views: 710 (including HTML, PDF, and XML) Thereof 675 with geography defined and 35 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Sep 2026
Download
Short summary
This study investigated whether short-range weather forecasting over India could be improved by incorporating GNSS (Global Navigation Satellite System) radio occultation (RO) data from ROMEX (Radio Occultation Modelling Experiment). Data assimilation experiments using the WRF (Weather Research and Forecasting) model were conducted for September 2022. The findings demonstrate how GNSS-RO measurements improved predictions for temperature, humidity, wind, and precipitation. The biggest gains came from better initial water vapour fields, which reduced forecast error and improved rainfall skill.
Read more
Share
Special issue
The Radio Occultation Modeling EXperiment (ROMEX): observational...