Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-267-2017
https://doi.org/10.5194/hess-21-267-2017
Research article
 | 
11 Jan 2017
Research article |  | 11 Jan 2017

Improving the precipitation accumulation analysis using lightning measurements and different integration periods

Erik Gregow, Antti Pessi, Antti Mäkelä, and Elena Saltikoff

Viewed

Total article views: 2,418 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,367 959 92 2,418 87 103
  • HTML: 1,367
  • PDF: 959
  • XML: 92
  • Total: 2,418
  • BibTeX: 87
  • EndNote: 103
Views and downloads (calculated since 17 Mar 2016)
Cumulative views and downloads (calculated since 17 Mar 2016)

Cited

Saved (preprint)

Latest update: 27 Mar 2024
Download
Short summary
A new lightning data assimilation method has been implemented and validated within the Finnish Meteorological Institute – Local Analysis and Prediction System. Lightning data do improve the analysis when no radars are available, and even with radar data, lightning data have a positive impact on the results. We also investigate the usage of different time integration intervals: 1, 6, 12, 24 h and 7 days, where the 1 h integration time length gives the best results.