Articles | Volume 6, issue 2
https://doi.org/10.5194/ascmo-6-79-2020
https://doi.org/10.5194/ascmo-6-79-2020
23 Jul 2020
 | 23 Jul 2020

A statistical approach to fast nowcasting of lightning potential fields

Joshua North, Zofia Stanley, William Kleiber, Wiebke Deierling, Eric Gilleland, and Matthias Steiner

Viewed

Total article views: 1,754 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,301 363 90 1,754 93 82
  • HTML: 1,301
  • PDF: 363
  • XML: 90
  • Total: 1,754
  • BibTeX: 93
  • EndNote: 82
Views and downloads (calculated since 23 Jul 2020)
Cumulative views and downloads (calculated since 23 Jul 2020)

Viewed (geographical distribution)

Total article views: 1,632 (including HTML, PDF, and XML) Thereof 1,599 with geography defined and 33 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
Short summary
Very short-term forecasting, called nowcasting, is used to monitor storms that pose a significant threat to people and infrastructure. These threats could include lightning strikes, hail, heavy precipitation, strong winds, and possible tornados. This paper proposes a fast approach to nowcasting lightning threats using simple statistical methods. The proposed model results in fast nowcasts that are more accurate than a competitive, computationally expensive, approach.
Share