Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-751-2017
https://doi.org/10.5194/hess-21-751-2017
Research article
 | 
07 Feb 2017
Research article |  | 07 Feb 2017

Application of CryoSat-2 altimetry data for river analysis and modelling

Raphael Schneider, Peter Nygaard Godiksen, Heidi Villadsen, Henrik Madsen, and Peter Bauer-Gottwein

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Cited articles

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Armitage, T. W. K. and Davidson, M. W. J.: Using the Interferometric Capabilities of the ESA CryoSat-2 Mission to Improve the Accuracy of Sea Ice Freeboard Retrievals, IEEE T. Geosci. Remote, 42, 529–536, https://doi.org/10.1109/TGRS.2013.2242082, 2014.
Becker, M., da Silva, J., Calmant, S., Robinet, V., Linguet, L., and Seyler, F.: Water Level Fluctuations in the Congo Basin Derived from ENVISAT Satellite Altimetry, Remote Sens., 6, 9340–9358, https://doi.org/10.3390/rs6109340, 2014.
Berrisford, P., Dee, D., Fielding, K., Fuentes, M., Kallberg, P., Kobayashi, S., and Uppala, S.: The ERA-Interim Archive – Version 2.0, ECMWF, Shinfield Park, Reading, 2011.
Berry, P. A. M. and Wheeler, J. L.: JASON2-ENVISAT Exploitation – Development of Algorithms for the Exploitation of JASON2-ENVISAT Altimetry for the Generation of a River and Lake Product, Product Handbook v3.5, De Montfort University, Leicester, UK, 2009.
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Short summary
We use water level observations from the CryoSat-2 satellite in combination with a river model of the Brahmaputra River, extracting satellite data over a dynamic river mask derived from Landsat imagery. The novelty of this work is the use of the CryoSat-2 water level observations, collected using a complex spatio-temporal sampling scheme, to calibrate a hydrodynamic river model. The resulting model accurately reproduces water levels, without precise knowledge of river bathymetry.