Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4983-2016
https://doi.org/10.5194/hess-20-4983-2016
Research article
 | 
19 Dec 2016
Research article |  | 19 Dec 2016

Calibration of channel depth and friction parameters in the LISFLOOD-FP hydraulic model using medium-resolution SAR data and identifiability techniques

Melissa Wood, Renaud Hostache, Jeffrey Neal, Thorsten Wagener, Laura Giustarini, Marco Chini, Giovani Corato, Patrick Matgen, and Paul Bates

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (28 Sep 2016) by Wolfgang Wagner
AR by Melissa Wood on behalf of the Authors (08 Nov 2016)  Author's response
ED: Referee Nomination & Report Request started (15 Nov 2016) by Wolfgang Wagner
RR by Christian Massari (15 Nov 2016)
ED: Publish as is (15 Nov 2016) by Wolfgang Wagner
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Short summary
We propose a methodology to calibrate the bankfull channel depth and roughness parameters in a 2-D hydraulic model using an archive of medium-resolution SAR satellite-derived flood extent maps. We used an identifiability methodology to locate the parameters and suggest the SAR images which could be optimally used for model calibration. We found that SAR images acquired around the flood peak provide best calibration potential for the depth parameter, improving when SAR images are combined.