Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3599-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-3599-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Development and technical paper
 | 
03 May 2024
Development and technical paper |  | 03 May 2024

Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1

Rohith Thundathil, Florian Zus, Galina Dick, and Jens Wickert

Viewed

Total article views: 772 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
566 171 35 772 42 41
  • HTML: 566
  • PDF: 171
  • XML: 35
  • Total: 772
  • BibTeX: 42
  • EndNote: 41
Views and downloads (calculated since 15 Dec 2023)
Cumulative views and downloads (calculated since 15 Dec 2023)

Viewed (geographical distribution)

Total article views: 772 (including HTML, PDF, and XML) Thereof 756 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Global Navigation Satellite Systems (GNSS) provides moisture observations through its densely distributed ground station network. In this research, we assimilate a new type of observation called tropospheric gradient observations, which has never been incorporated into a weather model. We develop a forward operator for gradient-based observations and conduct an assimilation impact study. The study shows significant improvements in the model's humidity fields.
Read more