Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2016-320
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
15 Jul 2016
Review status
A revision of this discussion paper is under review for the journal Hydrology and Earth System Sciences (HESS).
Effects of Multiple Doppler Radar data assimilation on the numerical simulation of a Flash Flood Event during the HyMeX campaign
Ida Maiello1, Sabrina Gentile1, Rossella Ferretti1,2, Luca Baldini3, Nicoletta Roberto3, Errico Picciotti4,1, Pier Paolo Alberoni5, and Frank S. Marzano6,1 1CETEMPS, Department of Physical and Chemical Sciences – University of L'Aquila , L'Aquila, Italy
2Danish Meteorological Institute, Copenaghen, Denmark
3Institute of Atmospheric Sciences and Climate, CNR ISAC, Roma, Italy
4Himet s.r.l, L'Aquila, Italy
5Arpa Emilia Romagna – Servizio Idro-Meteo-Clima, Bologna, Italy
6Department of Electronic Engineering, Sapienza University of Rome, Rome, Italy
Abstract. An analysis to evaluate the impact of assimilating multiple radar data with a three dimensional variational (3D-Var) system on a heavy precipitation event is presented. The main goal is to establish a general methodology to quantitatively assess the performance of flash-flood numerical weather prediction at mesoscale. In this respect, during the first Special Observation Period (SOP1) of HyMeX (Hydrological cycle in the Mediterranean Experiment) campaign several Intensive Observing Periods (IOPs) were launched and nine occurred in Italy. Among them IOP4 is chosen for this study because of its low predictability. This event hit central Italy on 14 September 2012 producing heavy precipitation and causing several damages. Data taken from three C-band radars running operationally during the event are assimilated to improve high resolution initial conditions. In order to evaluate the impact of the assimilation procedure at different horizontal resolution and to assess the impact of assimilating multiple radars data, several experiments using Weather Research and Forecasting (WRF) model are performed. Finally, the statistical indexes as accuracy, equitable threat score, false alarm ratio and frequency bias are used to objectively compare the experiments, using rain gauges data as benchmark.

Citation: Maiello, I., Gentile, S., Ferretti, R., Baldini, L., Roberto, N., Picciotti, E., Alberoni, P. P., and Marzano, F. S.: Effects of Multiple Doppler Radar data assimilation on the numerical simulation of a Flash Flood Event during the HyMeX campaign, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-320, in review, 2016.
Ida Maiello et al.
Ida Maiello et al.
Ida Maiello et al.

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