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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (23 Jun 2016) by Peter Molnar
AR by Erik Gregow on behalf of the Authors (23 Jun 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Jun 2016) by Peter Molnar
RR by Anonymous Referee #3 (28 Jun 2016)
RR by Anonymous Referee #1 (01 Jul 2016)
RR by Hidde Leijnse (08 Jul 2016)
ED: Reconsider after major revisions (18 Jul 2016) by Peter Molnar
AR by Anna Mirena Feist-Polner on behalf of the Authors (07 Sep 2016)  Author's response
ED: Referee Nomination & Report Request started (03 Oct 2016) by Peter Molnar
RR by Anonymous Referee #3 (20 Oct 2016)
RR by Anonymous Referee #1 (30 Oct 2016)
ED: Publish subject to minor revisions (further review by Editor) (16 Nov 2016) by Peter Molnar
AR by Anna Wenzel on behalf of the Authors (25 Nov 2016)  Author's response
ED: Publish as is (17 Dec 2016) by Peter Molnar
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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.