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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 23, issue 6
Hydrol. Earth Syst. Sci., 23, 2541–2559, 2019
https://doi.org/10.5194/hess-23-2541-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 2541–2559, 2019
https://doi.org/10.5194/hess-23-2541-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 05 Jun 2019

Research article | 05 Jun 2019

Observation operators for assimilation of satellite observations in fluvial inundation forecasting

Elizabeth S. Cooper et al.

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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. a
Baldassarre, G. D., Schumann, G., and Bates, P. D.: A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent, J. Hydrol., 367, 276–282, https://doi.org/10.1016/j.jhydrol.2009.01.020, 2009. a
Barthélémy, S., Ricci, S., Le Pape, E., Rochoux, M., Thual, O., Goutal, N., Habert, J., Piacentini, A., Jonville, G., Zaoui, F., and Gouin, P.: Ensemble-based algorithm for error reduction in hydraulics in the context of flood forecasting, E3S Web of Conferences, 7, 18022, 2016. a
Bishop, C. H., Etherton, B. J., and Majumdar, S. J.: Adaptive Sampling with the Ensemble Transform Kalman Filter, Part I: Theoretical Aspects, Mon. Weather Rev., 129, 420–436, https://doi.org/10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO;2, 2001. a
Brown, K. M., Hambidge, C. H., and Brownett, J. M.: Progress in operational flood mapping using satellite synthetic aperture radar (SAR) and airborne light detection and ranging (LiDAR) data, Prog. Phys. Geog., 40, 196–214, https://doi.org/10.1177/0309133316633570, 2016. a, b, c
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Short summary
Flooding from rivers is a huge and costly problem worldwide. Computer simulations can help to warn people if and when they are likely to be affected by river floodwater, but such predictions are not always accurate or reliable. Information about flood extent from satellites can help to keep these forecasts on track. Here we investigate different ways of using information from satellite images and look at the effect on computer predictions. This will help to develop flood warning systems.
Flooding from rivers is a huge and costly problem worldwide. Computer simulations can help to...
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