The impact of assimilation of streamflow and downscaled satellite soil moisture observations for hydrological forecasting

P. Lopez Lopez, A.H. Weerts, J. Schellekens, G. Sterk, A.C. Kockx, Richard A.M. de Jeu, Albert Van Dijk

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    Abstract

    The present study investigated the added value of assimilating streamflow and remotely sensed soil moisture observations into the local-scale hydrological model, OpenStreams wflow_sbm (OSWS), and its potential to improve model estimates, when driven by either coarse- or high-resolution meteorological data. The study area chosen is the Murrumbidgee River Basin in the southeast of Australia, because of the variety of land uses in the region, the amount of measured data available for a large number of relatively unimpaired catchments, and the extensive body of previous studies observing and describing the hydrologic patterns across the basin.

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