Articles | Volume 19, issue 4
Hydrol. Earth Syst. Sci., 19, 1659–1676, 2015
https://doi.org/10.5194/hess-19-1659-2015
Hydrol. Earth Syst. Sci., 19, 1659–1676, 2015
https://doi.org/10.5194/hess-19-1659-2015

Research article 09 Apr 2015

Research article | 09 Apr 2015

Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes

C. Alvarez-Garreton et al.

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Short summary
We assimilate satellite soil moisture into a rainfall-runoff model for improving flood prediction within a data-scarce region. We argue that the spatially distributed satellite data can alleviate the model prediction limitations. We show that satellite soil moisture DA reduces the uncertainty of the streamflow ensembles. We propose new techniques for the DA scheme, including seasonal error characterisation, bias correction of the satellite retrievals, and model error representation.