Articles | Volume 20, issue 7
Hydrol. Earth Syst. Sci., 20, 3059–3076, 2016
https://doi.org/10.5194/hess-20-3059-2016
Hydrol. Earth Syst. Sci., 20, 3059–3076, 2016
https://doi.org/10.5194/hess-20-3059-2016
Research article
29 Jul 2016
Research article | 29 Jul 2016

Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations

Patricia López López et al.

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Cited articles

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Alvarez-Garreton, C., Ryu, D., Western, A. W., Su, C.-H., Crow, W. T., Robertson, D. E., and Leahy, C.: Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes, Hydrol. Earth Syst. Sci., 19, 1659–1676, https://doi.org/10.5194/hess-19-1659-2015, 2015.
Andreadis, K. M. and Lettenmaier, D. P.: Assimilating remotely sensed snow observations into a macroscale hydrology model, Adv. Water Resour., 29, 872–886, 2006.
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We perform a joint assimilation experiment of high-resolution satellite soil moisture and discharge observations in the Murrumbidgee River basin with a large-scale hydrological model. Additionally, we study the impact of high- and low-resolution meteorological forcing on the model performance. We show that the assimilation of high-resolution satellite soil moisture and discharge observations has a significant impact on discharge simulations and can bring them closer to locally calibrated models.