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

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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.