Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 11
Articles | Volume 26, issue 11
https://doi.org/10.5194/nhess-26-5815-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-26-5815-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 11
Research article
 | 
13 Nov 2026
Research article |  | 13 Nov 2026

Evaluating the performance of a numerical weather prediction model for precipitation and temperature in Luxembourg and the Greater Region: insights from WRF and WRFDA 3D-VAR

Haseeb ur Rehman, Felicia Norma Rebecca Teferle, Addisu Hunegnaw, Rohith Muraleedharan Thundathil, Jens Wickert, and Florian Zus

Viewed

Total article views: 524 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
312 164 48 524 45 47
  • HTML: 312
  • PDF: 164
  • XML: 48
  • Total: 524
  • BibTeX: 45
  • EndNote: 47
Views and downloads (calculated since 30 Jul 2026)
Cumulative views and downloads (calculated since 30 Jul 2026)

Viewed (geographical distribution)

Total article views: 524 (including HTML, PDF, and XML) Thereof 469 with geography defined and 55 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Nov 2026
Download
Short summary
We tested whether assimilating conventional weather observations and Global Navigation Satellite System (GNSS) satellite delay data improves Weather Research and Forecasting (WRF) forecasts of rain and temperature over Luxembourg and the Greater Region in the month around the July 2021 floods. How the model’s background errors are represented mattered more than which observations were used. With an error model derived from the study month, GNSS data improved forecasts of light and moderate rain, while no setup was clearly best for temperature.
Read more
Share
Special issue
Early Warning Systems from Research to Operations: Status,...
Altmetrics
Final-revised paper
Preprint