Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 4081–4097, 2021
https://doi.org/10.5194/hess-25-4081-2021
Hydrol. Earth Syst. Sci., 25, 4081–4097, 2021
https://doi.org/10.5194/hess-25-4081-2021

Research article 14 Jul 2021

Research article | 14 Jul 2021

Assimilation of probabilistic flood maps from SAR data into a coupled hydrologic–hydraulic forecasting model: a proof of concept

Concetta Di Mauro​​​​​​​ et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (21 Feb 2021) by Christa Kelleher
AR by Concetta Di Mauro on behalf of the Authors (04 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (12 Apr 2021) by Christa Kelleher
RR by Anonymous Referee #3 (20 May 2021)
ED: Publish as is (20 May 2021) by Christa Kelleher
Download
Short summary
This study evaluates how the sequential assimilation of flood extent derived from synthetic aperture radar data can help improve flood forecasting. In particular, we carried out twin experiments based on a synthetically generated dataset with controlled uncertainty. Our empirical results demonstrate the efficiency of the proposed data assimilation framework, as forecasting errors are substantially reduced as a result of the assimilation.