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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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NPG | Articles | Volume 25, issue 4
Nonlin. Processes Geophys., 25, 747–764, 2018
https://doi.org/10.5194/npg-25-747-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Numerical modeling, predictability and data assimilation in...

Nonlin. Processes Geophys., 25, 747–764, 2018
https://doi.org/10.5194/npg-25-747-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Nov 2018

Research article | 07 Nov 2018

Data assimilation of radar reflectivity volumes in a LETKF scheme

Thomas Gastaldo et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Thomas Gastaldo on behalf of the Authors (23 Jul 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Jul 2018) by Alberto Carrassi
RR by Anonymous Referee #1 (07 Aug 2018)
RR by Anonymous Referee #2 (19 Aug 2018)
ED: Reconsider after major revisions (further review by editor and referees) (20 Aug 2018) by Alberto Carrassi
AR by Thomas Gastaldo on behalf of the Authors (01 Oct 2018)  Author's response    Manuscript
ED: Publish subject to technical corrections (22 Oct 2018) by Alberto Carrassi
Publications Copernicus
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Short summary
Accuracy of numerical weather prediction forecasts is strongly related to the quality of initial conditions employed. To improve them, it seems advantageous to use radar reflectivity observations because of their high spatial and temporal resolution. This is tested in a high-resolution model whose domain covers Italy. Results show that the employment of reflectivity observations improves precipitation forecast accuracy, but the positive impact is lost after a few hours of forecast.
Accuracy of numerical weather prediction forecasts is strongly related to the quality of initial...
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