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

Data sets

Dataset used in Kittel et al., 2017 (, including model files and processed remote sensing observations (CryoSat-2 radar altimetry and GRACE total water storage) C. M. M. Kittel, K. Nielsen, C. Tøttrup, and P. Bauer-Gottwein

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.