Articles | Volume 21, issue 9
https://doi.org/10.5194/nhess-21-2849-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2849-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Sep 2021
Research article |
| 17 Sep 2021
| 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
CORRESPONDING AUTHOR
CIMA Research Foundation, Savona 17100, Italy
CETEMPS, Department of Physical and Chemical
Sciences, University of L'Aquila, L'Aquila 67100, Italy
Rossella Ferretti
CETEMPS, Department of Physical and Chemical
Sciences, University of L'Aquila, L'Aquila 67100, Italy
Errico Picciotti
CETEMPS, Department of Physical and Chemical
Sciences, University of L'Aquila, L'Aquila 67100, Italy
Frank Silvio Marzano
CETEMPS, Department of Physical and Chemical
Sciences, University of L'Aquila, L'Aquila 67100, Italy
Department of Information Engineering, Sapienza University of Rome,
Rome 00185, Italy
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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.
Forecasting precipitation over the Mediterranean basin is still a challenge. In this context,...
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