Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-516
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
09 Oct 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).
Large scale hydrological model river storage and discharge correction using satellite altimetry-based discharge product
Charlotte Marie Emery1,a, Adrien Paris2,3, Sylvain Biancamaria1, Aaron Boone4, Stéphane Calmant1, Pierre-André Garambois5, and Joecila Santos da Silva6 1LEGOS, Université de Toulouse, CNRS, CNES, IRD, UPS, Toulouse, France
2GET, Toulouse, France
3LMI OCE IRD/UNB, Campus Darcy Ribeiro, Brasilia, Brazil
4CNRM, Toulouse, France
5ICUBE-UMR 7357, Fluid Mechanics Team, INSA, Strasbourg, France
6CESTU, Universidade do Estado do Amazonas, Manaus, Brazil
anow at: JPL, Pasadena, CA, USA
Abstract. Land Surface Models (LSM) are widely used to study the continental part of the water cycle. Yet, even though their accuracy is increasing, inherent model uncertainties can not be avoided. In the meantime, remotely-sensed observations of the continental water cycle variables such as soil moisture, lakes and rivers elevations are more frequent and accurate. Therefore, those two different types of information can be combined, using data assimilation techniques to reduce model's uncertainties on its state variables or/and on its input parameters. The objective of this study is to present a data assimilation platform that assimilates into the LSM ISBA-CTRIP a river discharge product, derived from ENVISAT nadir altimeter water elevation measurements, over the whole Amazon basin. The study presents an initial development for a localization treatment that allows to limit the impact of observations to areas close to the observation and on the same hydrological network. This assimilation platform is based on the Ensemble Kalman Filter and can either correct the river water storage or the discharge: RMSE compared to gauge discharges are globally reduced until 21 % and at Óbidos, near the outlet, RMSE are reduced up to 52 % compared to ENVISAT discharge. Finally, it is shown that localization improve results along main tributaries.

Citation: Emery, C. M., Paris, A., Biancamaria, S., Boone, A., Calmant, S., Garambois, P.-A., and da Silva, J. S.: Large scale hydrological model river storage and discharge correction using satellite altimetry-based discharge product, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-516, in review, 2017.
Charlotte Marie Emery et al.
Charlotte Marie Emery et al.
Charlotte Marie Emery et al.

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Short summary
This study uses remotely-sensed river discharge data to correct river storage and discharge in a large-scale hydrological model. The method is based on an Ensemble Kalman filter and also introduces an additional technique that allows for the better constraint of the correction (called localization). The approach is applied over the entire Amazon basin. Results show that the method is able to improve river discharge and localization to produce better results along main tributaries.
This study uses remotely-sensed river discharge data to correct river storage and discharge in a...
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