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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Cited articles

Andreadis, K. M., Clark, E. A., Lettenmaier, D. P., and Alsdorf, D. E.: Prospects for river discharge and depth estimation through assimilation of swath-altimetry into a raster based hydrodynamics model, Geophys. Res. Lett., 34, L10403, https://doi.org/10.1029/2007GL029721, 2007.
Aronica, G., Bates, P. D., and Horritt, M. S.: Assessing the uncertainty in distributed model predictions using observed binary pattern information with GLUE, Hydrol. Process., 16, 2001–2016, 2002.
Bates, P. D. and De Roo A. P. J.: A simple Raster-based Model for Flood Inundation Simulation, J. Hydrol., 236, 54–77, 2000.
Bates, P. D., Wilson, M. D., Horritt, M. S., Mason, D., Holden, N., and Currie, A.: Reach scale floodplain inundation dynamics observed using airborne Synthetic Aperture Radar imagery: data analysis and modelling, J. Hydrol., 328, 306–318, 2006.
Beven, K. J.: Environmental modelling: an uncertain future?, Routledge, London, New York, 60 pp., 2009.
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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.
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