Articles | Volume 22, issue 2
Research article
27 Feb 2018
Research article |  | 27 Feb 2018

Informing a hydrological model of the Ogooué with multi-mission remote sensing data

Cecile M. M. Kittel, Karina Nielsen, Christian Tøttrup, and Peter Bauer-Gottwein

Related authors

Sentinel-3 radar altimetry for river monitoring – a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B
Cecile M. M. Kittel, Liguang Jiang, Christian Tøttrup, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 25, 333–357,,, 2021
Short summary
Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle
Filippo Bandini, Daniel Olesen, Jakob Jakobsen, Cecile Marie Margaretha Kittel, Sheng Wang, Monica Garcia, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 22, 4165–4181,,, 2018
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Remote Sensing and GIS
Monitoring the extreme flood events in the Yangtze River basin based on GRACE and GRACE-FO satellite data
Jingkai Xie, Yue-Ping Xu, Hongjie Yu, Yan Huang, and Yuxue Guo
Hydrol. Earth Syst. Sci., 26, 5933–5954,,, 2022
Short summary
Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices
Johannes Larson, William Lidberg, Anneli M. Ågren, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 26, 4837–4851,,, 2022
Short summary
A combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River basin
Benjamin Kitambo, Fabrice Papa, Adrien Paris, Raphael M. Tshimanga, Stephane Calmant, Ayan Santos Fleischmann, Frederic Frappart, Melanie Becker, Mohammad J. Tourian, Catherine Prigent, and Johary Andriambeloson
Hydrol. Earth Syst. Sci., 26, 1857–1882,,, 2022
Short summary
Monitoring surface water dynamics in the Prairie Pothole Region of North Dakota using dual-polarised Sentinel-1 synthetic aperture radar (SAR) time series
Stefan Schlaffer, Marco Chini, Wouter Dorigo, and Simon Plank
Hydrol. Earth Syst. Sci., 26, 841–860,,, 2022
Short summary
Watershed zonation through hillslope clustering for tractably quantifying above- and below-ground watershed heterogeneity and functions
Haruko M. Wainwright, Sebastian Uhlemann, Maya Franklin, Nicola Falco, Nicholas J. Bouskill, Michelle E. Newcomer, Baptiste Dafflon, Erica R. Siirila-Woodburn, Burke J. Minsley, Kenneth H. Williams, and Susan S. Hubbard
Hydrol. Earth Syst. Sci., 26, 429–444,,, 2022
Short summary

Cited articles

Abelen, S. and Seitz, F.: Relating satellite gravimetry data to global soil moisture products via data harmonization and correlation analysis, Remote Sens. Environ., 136, 89–98,, 2013.
Alvarez-Garreton, C., Ryu, D., Western, A. W., Crow, W. T., and Robertson, D. E.: The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment, J. Hydrol., 519, 2763–2774,, 2014.
Awange, J. L., Gebremichael, M., Forootan, E., Wakbulcho, G., Anyah, R., Ferreira, V. G., Alemayehu, T., Awange, J. L., Gebremichael, M., Forootan, E., Wakbulcho, G., Anyah, R., Ferreira, V. G., and Alemayehu, T.: Characterization of Ethiopian mega hydrogeological regimes using GRACE, TRMM and GLDAS datasets, Adv. Water Resour., 74, 64–78,, 2014.
Awange, J. L., Ferreira, V. G., Forootan, E., Khandu, Andam-Akorful, S. A., Agutu, N. O., and He, X. F.: Uncertainties in remotely sensed precipitation data over Africa, Int. J. Climatol., 36, 303–323,, 2016.
Bauer-Gottwein, P., Jensen, I. H., Guzinski, R., Bredtoft, G. K. T., Hansen, S., and Michailovsky, C. I.: Operational river discharge forecasting in poorly gauged basins: the Kavango River basin case study, Hydrol. Earth Syst. Sci., 19, 1469–1485,, 2015.
Short summary
In this study, we integrate free, global Earth observations in a user-friendly and flexible model to reliably characterize an otherwise unmonitored river basin. The proposed model is the best baseline characterization of the Ogooué basin in light of available observations. Furthermore, the study shows the potential of using new, publicly available Earth observations and a suitable model structure to obtain new information in poorly monitored or remote areas and to support user requirements.