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

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

Assimilation of remotely sensed soil moisture data (SM-DA) to correct soil water stores of rainfall-runoff models has shown skill in improving streamflow prediction. In the case of large and sparsely monitored catchments, SM-DA is a particularly attractive tool. Within this context, we assimilate sa...

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Bibliographic Details
Main Authors:	C. Alvarez-Garreton, D. Ryu, A. W. Western, C.-H. Su, W. T. Crow, D. E. Robertson, C. Leahy
Format:	Article
Language:	English
Published:	Copernicus Publications 2015-04-01
Series:	Hydrology and Earth System Sciences
Online Access:	http://www.hydrol-earth-syst-sci.net/19/1659/2015/hess-19-1659-2015.pdf

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