Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 20, issue 12
Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4983-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-4983-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 20, issue 12
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

Viewed

Total article views: 4,977 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,656 2,097 224 4,977 171 194
  • HTML: 2,656
  • PDF: 2,097
  • XML: 224
  • Total: 4,977
  • BibTeX: 171
  • EndNote: 194
Views and downloads (calculated since 18 Jan 2016)
Cumulative views and downloads (calculated since 18 Jan 2016)
Latest update: 06 Dec 2025
Download
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.
Read more
Share