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: 2,566 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,457 998 111 2,566 109 120
  • HTML: 1,457
  • PDF: 998
  • XML: 111
  • Total: 2,566
  • BibTeX: 109
  • EndNote: 120
Views and downloads (calculated since 17 Mar 2016)
Cumulative views and downloads (calculated since 17 Mar 2016)

Cited

Saved (preprint)

Latest update: 05 Nov 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.