Articles | Volume 21, issue 11
https://doi.org/10.5194/hess-21-5459-2017
https://doi.org/10.5194/hess-21-5459-2017
Research article
 | 
07 Nov 2017
Research article |  | 07 Nov 2017

Impact of multiple radar reflectivity data assimilation on the numerical simulation of a flash flood event during the HyMeX campaign

Ida Maiello, Sabrina Gentile, Rossella Ferretti, Luca Baldini, Nicoletta Roberto, Errico Picciotti, Pier Paolo Alberoni, and Frank Silvio Marzano

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Cited articles

Barker, D. M., Huang, W., Guo, Y.-G., and Bourgeois, A.: A three-dimensional variational (3-D-Var) data assimilation system for use with MM5, NCAR Tech. Note, NCAR/TN-453+STR, UCAR Communications, Boulder, CO, 68 pp., 2003.
Barker, D. M., Huang, W., Guo, Y.-R., Bourgeois, A., and Xiao, Q.: A three-dimensional variational (3-D-Var) data assimilation system for use with MM5: implementation and initial results, Mon. Weather Rev., 132, 897–914, 2004.
Daley, R.: Atmospheric Data Analysis, Cambridge University Press, Cambridge, UK, 1991.
Das, M. K., Chowdhury, M. A. M., Das, S., Debsarma, S. K., and Karmakar, S.: Assimilation of Doppler weather radar data and their impacts on the simulation of squall events during premonsoon season, Nat. Hazards, 77, 901–931, https://doi.org/10.1007/s11069-015-1634-9, 2015.
Davis, A. C., Brown, B., and Bullock, R.: Object-Based verification of precipitation forecasts, Part I: Methodology and application to mesoscale rain areas, Mon. Weather Rev., 134, 1772–1784, 2006a.
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Short summary
In this paper the impact of multiple radar reflectivity data assimilation on a flash flood event occurred during SOP1 of the HyMeX campaign has been evaluated: the aim is to build a regionally tuned numerical prediction model and decision-support system for environmental civil protection services within the central Italian regions. The results are encouraging, but a significant number of flash flood cases and a deeper analysis of the meteorology of the region are necessary.