Articles | Volume 23, issue 8
https://doi.org/10.5194/nhess-23-2821-2023
https://doi.org/10.5194/nhess-23-2821-2023
Research article
 | 
18 Aug 2023
Research article |  | 18 Aug 2023

Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept

Felix Erdmann, Olivier Caumont, and Eric Defer

Viewed

Total article views: 1,378 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,056 260 62 1,378 43 60
  • HTML: 1,056
  • PDF: 260
  • XML: 62
  • Total: 1,378
  • BibTeX: 43
  • EndNote: 60
Views and downloads (calculated since 28 Jul 2022)
Cumulative views and downloads (calculated since 28 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,378 (including HTML, PDF, and XML) Thereof 1,309 with geography defined and 69 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
This work develops a novel lightning data assimilation (LDA) technique to make use of Meteosat Third Generation (MTG) Lightning Imager (LI) data in a regional, convection-permitting numerical weather prediction model. The approach combines statistical Bayesian and 3-dimensional variational methods. Our LDA can promote missing convection and suppress spurious convection in the initial state of the model, and it has similar skill to the operational radar data assimilation for rainfall forecasts.
Altmetrics
Final-revised paper
Preprint