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

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

doi:https://doi.org/10.5194/hess-21-267-2017

Articles | Volume 21, issue 1

https://doi.org/10.5194/hess-21-267-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Rainfall and urban hydrology

https://doi.org/10.5194/hess-21-267-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 1

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

Data sets

Latest release of LAPS software NOAA http://laps.noaa.gov/cgi/LAPS_SOFTWARE.cgi

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.