11 Aug 2017
Comparison between 3D-Var and 4D-Var data assimilation methods for the simulation of a heavy rainfall case in central Italy
Vincenzo Mazzarella
CORRESPONDING AUTHOR
Department of Science and Technology, University of Naples
“Parthenope”, Naples, Italy
Centre of Excellence CETEMPS, Department of Physical and Chemical
Sciences, University of L'Aquila, L'Aquila, Italy
Ida Maiello
Department of Information Engineering, Electronics and
Telecommunications, Sapienza University of Rome, Rome, Italy
Centre of Excellence CETEMPS, Department of Physical and Chemical
Sciences, University of L'Aquila, L'Aquila, Italy
Vincenzo Capozzi
Department of Science and Technology, University of Naples
“Parthenope”, Naples, Italy
Giorgio Budillon
Department of Science and Technology, University of Naples
“Parthenope”, Naples, Italy
Rossella Ferretti
Centre of Excellence CETEMPS, Department of Physical and Chemical
Sciences, University of L'Aquila, L'Aquila, Italy
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Short summary
This work aims to provide a comparison between three dimensional and four dimensional variational data assimilation methods (3D-Var and 4D-Var) for a heavy rainfall case in central Italy. Nine simulations are compared in terms of rainfall forecast and precipitation measured by the gauges through three statistical indicators. The assimilation of conventional observations with 4D-Var method improves the quantitative precipitation forecast (QPF) compared to 3D-Var.
This work aims to provide a comparison between three dimensional and four dimensional...
