Articles | Volume 21, issue 9
https://doi.org/10.5194/nhess-21-2849-2021
https://doi.org/10.5194/nhess-21-2849-2021
Research article
 | 
17 Sep 2021
Research article |  | 17 Sep 2021

Investigating 3D and 4D variational rapid-update-cycling assimilation of weather radar reflectivity for a heavy rain event in central Italy

Vincenzo Mazzarella, Rossella Ferretti, Errico Picciotti, and Frank Silvio Marzano

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Cited articles

Ballard, S. P., Li, Z., Simonin, D., Buttery, H., Charlton-Perez, C., Gaussiat, N., and Hawkness-Smith, L.: Use of radar data in NWP-based nowcasting in the Met Office, in: Weather Radar and Hydrology, edited by: Moore, R. J., Cole, S. J., and Illingworth, A. J., IAHS Publ., 351, 336–341, 2012. 
Ballard, S. P., Li, Z., Simonin, D., and Caron, J.-F.: Performance of 4D-Var NWP-based nowcasting of precipitation at the Met Office for summer 2012, Q. J. Roy. Meteorol. Soc., 142, 472–487, https://doi.org/10.1002/qj.2665, 2016. 
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Short summary
Forecasting precipitation over the Mediterranean basin is still a challenge. In this context, data assimilation techniques play a key role in improving the initial conditions and consequently the timing and position of the precipitation forecast. For the first time, the ability of a cycling 4D-Var to reproduce a heavy rain event in central Italy, as well as to provide a comparison with the largely used cycling 3D-Var, is evaluated in this study.
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