Articles | Volume 21, issue 11
https://doi.org/10.5194/hess-21-5929-2017
https://doi.org/10.5194/hess-21-5929-2017
Research article
 | 
28 Nov 2017
Research article |  | 28 Nov 2017

SMOS brightness temperature assimilation into the Community Land Model

Dominik Rains, Xujun Han, Hans Lievens, Carsten Montzka, and Niko E. C. Verhoest

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Latest update: 04 Mar 2024
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Short summary
We have assimilated 6 years of satellite-observed passive microwave data into a state-of-the-art land surface model to improve surface soil moisture as well as root-zone soil moisture simulations. Long-term assimilation effects/biases are identified, and they are especially dependent on model perturbations, applied to simulate model uncertainty. The implications are put into context of using such assimilation-improved data for classifying extremes within hydrological monitoring systems.