Articles | Volume 24, issue 2
https://doi.org/10.5194/hess-24-615-2020
https://doi.org/10.5194/hess-24-615-2020
Research article
 | 
13 Feb 2020
Research article |  | 13 Feb 2020

Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data

Yixin Mao, Wade T. Crow, and Bart Nijssen

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Latest update: 28 Mar 2024
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Short summary
The new generation of satellite soil moisture observations are used to correct the streamflow in a regional-scale river basin simulated by a mathematical model. The correction is done via both the direct updating of soil moisture and correction of rainfall input. Results show some streamflow improvement, but the magnitude is small. A larger improvement will need future generations of even higher-quality satellite soil moisture data and better process representation in the mathematical model.