Articles | Volume 25, issue 4
https://doi.org/10.5194/npg-25-747-2018
https://doi.org/10.5194/npg-25-747-2018
Research article
 | 
07 Nov 2018
Research article |  | 07 Nov 2018

Data assimilation of radar reflectivity volumes in a LETKF scheme

Thomas Gastaldo, Virginia Poli, Chiara Marsigli, Pier Paolo Alberoni, and Tiziana Paccagnella

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Interactive discussion

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 Natale 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 Natale 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 Natale Alberto Carrassi
AR by Thomas Gastaldo on behalf of the Authors (24 Oct 2018)  Manuscript 
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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.