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Informing a hydrological model of the Ogooué with multi-mission remote sensing data
2017
Hydrology and Earth System Sciences Discussions
Remote sensing provides a unique opportunity to inform and constrain a hydrological model and to increase its value as a decision-support tool. In this study, we applied a multi-mission approach to force, calibrate and validate a hydrological model of the ungauged Ogooué river basin in Africa with publicly available and free remote sensing observations. We used a rainfall–runoff model based on the Budyko framework coupled with a Muskingum routing approach. We parametrized the model
doi:10.5194/hess-2017-549
fatcat:p7zdbwfhsree3p3v32vg37qmva