Articles | Volume 21, issue 9
Nat. Hazards Earth Syst. Sci., 21, 2849–2865, 2021
https://doi.org/10.5194/nhess-21-2849-2021
Nat. Hazards Earth Syst. Sci., 21, 2849–2865, 2021
https://doi.org/10.5194/nhess-21-2849-2021

Research article 17 Sep 2021

Research article | 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 et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2020-406', Anonymous Referee #1, 30 Jan 2021
  • RC2: 'Comment on nhess-2020-406', Anonymous Referee #2, 02 Feb 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (02 Apr 2021) by Vassiliki Kotroni
AR by Vincenzo Mazzarella on behalf of the Authors (07 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (20 May 2021) by Vassiliki Kotroni
RR by Anonymous Referee #2 (30 May 2021)
RR by Anonymous Referee #1 (03 Jun 2021)
ED: Reconsider after major revisions (further review by editor and referees) (04 Jun 2021) by Vassiliki Kotroni
AR by Vincenzo Mazzarella on behalf of the Authors (27 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (28 Jul 2021) by Vassiliki Kotroni
RR by Anonymous Referee #2 (30 Jul 2021)
ED: Reconsider after major revisions (further review by editor and referees) (06 Aug 2021) by Vassiliki Kotroni
ED: Publish as is (11 Aug 2021) by Vassiliki Kotroni
AR by Vincenzo Mazzarella on behalf of the Authors (22 Aug 2021)  Author's response    Manuscript
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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.
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