Articles | Volume 20, issue 7
https://doi.org/10.5194/hess-20-3059-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3059-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Deltares, Delft, the Netherlands
Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
Niko Wanders
Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USA
Jaap Schellekens
Deltares, Delft, the Netherlands
Luigi J. Renzullo
CSIRO Land and Water, Canberra, ACT, Australia
Edwin H. Sutanudjaja
Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
Marc F. P. Bierkens
Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
Unit Soil and Groundwater Systems, Deltares, Utrecht, the Netherlands
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- The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS) C. Baugh et al. 10.3390/rs12091490
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Short summary
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.
We perform a joint assimilation experiment of high-resolution satellite soil moisture and...
