Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 17
Articles | Volume 19, issue 17
https://doi.org/10.5194/gmd-19-8213-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-19-8213-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 17
Development and technical paper
 | 
07 Sep 2026
Development and technical paper |  | 07 Sep 2026

Development and testing of ensemble-variational data assimilation capabilities for radar data within JEDI coupled with FV3-LAM model

Jun Park, Chengsi Liu, and Ming Xue

Viewed

Total article views: 3,800 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,361 1,132 307 3,800 221 254
  • HTML: 2,361
  • PDF: 1,132
  • XML: 307
  • Total: 3,800
  • BibTeX: 221
  • EndNote: 254
Views and downloads (calculated since 24 Nov 2025)
Cumulative views and downloads (calculated since 24 Nov 2025)

Viewed (geographical distribution)

Total article views: 3,800 (including HTML, PDF, and XML) Thereof 3,758 with geography defined and 42 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 22 Oct 2026
Download
Short summary
This study develops and tests new methods to improve weather forecasts by using radar observations within a modern data assimilation system called the Joint Effort for Data Assimilation Integration. The approach combines information from radar measurements and computer models to better describe storms. Tests with a major U.S. storm show improved prediction of rainfall and storm structure.
Read more
Share
Special issue
The application of JEDI (Joint Effort for Data assimilation...