Articles | Volume 22, issue 9
Nat. Hazards Earth Syst. Sci., 22, 2943–2962, 2022
https://doi.org/10.5194/nhess-22-2943-2022
Nat. Hazards Earth Syst. Sci., 22, 2943–2962, 2022
https://doi.org/10.5194/nhess-22-2943-2022
Research article
06 Sep 2022
Research article | 06 Sep 2022

A satellite lightning observation operator for storm-scale numerical weather prediction

Pauline Combarnous et al.

Viewed

Total article views: 1,041 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
815 197 29 1,041 12 11
  • HTML: 815
  • PDF: 197
  • XML: 29
  • Total: 1,041
  • BibTeX: 12
  • EndNote: 11
Views and downloads (calculated since 01 Mar 2022)
Cumulative views and downloads (calculated since 01 Mar 2022)

Viewed (geographical distribution)

Total article views: 1,041 (including HTML, PDF, and XML) Thereof 956 with geography defined and 85 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Feb 2023
Download
Short summary
The objective of this study is to prepare the assimilation of satellite lightning data in the French regional numerical weather prediction system. The assimilation of lightning data requires an observation operator, based on empirical relationships between the lightning observations and a set of proxies derived from the numerical weather prediction system variables. We fit machine learning regression models to our data to yield those relationships and to investigate the best proxy for lightning.
Altmetrics
Final-revised paper
Preprint