Articles | Volume 18, issue 6
https://doi.org/10.5194/hess-18-2343-2014
© Author(s) 2014. 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-18-2343-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The suitability of remotely sensed soil moisture for improving operational flood forecasting
N. Wanders
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
D. Karssenberg
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
A. de Roo
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
European Commission, Join Research Centre, Ispra, Italy
S. M. de Jong
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
M. F. P. Bierkens
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Deltares, Utrecht, the Netherlands
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216 citations as recorded by crossref.
- Statistical downscaling of GRACE TWSA estimates to a 1-km spatial resolution for a local-scale surveillance of flooding potential B. Khorrami et al.
- Flood susceptibility mapping using advanced hybrid machine learning and CyGNSS: a case study of Nghe An province, Vietnam H. Nguyen et al.
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