Articles | Volume 17, issue 1
https://doi.org/10.5194/nhess-17-61-2017
https://doi.org/10.5194/nhess-17-61-2017
Research article
 | 
23 Jan 2017
Research article |  | 23 Jan 2017

Improvement of RAMS precipitation forecast at the short-range through lightning data assimilation

Stefano Federico, Marco Petracca, Giulia Panegrossi, and Stefano Dietrich

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Cited articles

Accadia, C., Mariani, S., Casaioli, M., and Lavagnini, A.: Sensitivity of precipitation forecast skill scores to bilinear interpolation and a simple nearest-neighbor average method on high-resolution verification grids, Weather Forecast., 18, 918–932, 2003.
Alexander, G. D., Weinman, J. A., Karyampoudi, V. M., Olson, W. S., and Lee, A. C. L.: The effect of assimilating rain rates derived from satellites and lightning on forecasts of the 1993 superstorm, Mon. Weather Rev., 127, 1433–1457, 1999.
Betz, H. D., Schmidt, K., Laroche, P., Blanchet, P., Oettinger, W. P., Defer, E., Dziewit, Z., and Konarski, J.: LINET – An international lightning detection network in Europe, Atmos. Res., 91, 564–573, 2009.
Casaioli, M., Coraci, E., Mariani, S., Ferrario, M. E., Sansone, M., Davolio, S., Cordella, M., Manzato, A., Pucillo, A., and Bajo, M.: The impact of different NWP forecasting systems on acqua alta forecasts: two IOP case studies over the NEI target site, 7th HyMeX Workshop, 7–10 October 2013, Cassis, France, 2013.
Chang, D. E., Weinman, J. A., Morales, C. A., and Olson, W. S.: The effect of spaceborn microwave and ground-based continuous lightning measurements on forecasts of the 1998 Groundhog Day storm, Mon. Weather Rev., 129, 1809–1833, 2001.
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Short summary
The motivation of this study is to use lightning observations to improve the precipitation forecast at the short range (3 h). For this purpose 20 case studies, occurring in fall 2012, were analyzed using a meteorological model, whose set-up is applicable in real-time weather forecasting. Lightning observations were provided by the LINET network. Results show a systematic improvement of the 3 h precipitation forecast when lightning observations are used.
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