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Advances in Science and Research Contributions in Applied Meteorology and Climatology
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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.
Articles | Volume 14
Adv. Sci. Res., 14, 271–278, 2017
https://doi.org/10.5194/asr-14-271-2017
Adv. Sci. Res., 14, 271–278, 2017
https://doi.org/10.5194/asr-14-271-2017

  11 Aug 2017

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 et al.

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Latest update: 18 Oct 2021
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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.
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