Articles | Volume 19, issue 12
https://doi.org/10.5194/hess-19-4811-2015
https://doi.org/10.5194/hess-19-4811-2015
Research article
 | 
16 Dec 2015
Research article |  | 16 Dec 2015

Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions

D. Fairbairn, A. L. Barbu, J.-F. Mahfouf, J.-C. Calvet, and E. Gelati

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Interactive discussion

Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (31 Oct 2015) by Alberto Guadagnini
AR by Jean-Christophe Calvet on behalf of the Authors (02 Nov 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (04 Nov 2015) by Alberto Guadagnini
RR by Anonymous Referee #1 (25 Nov 2015)
ED: Publish subject to minor revisions (Editor review) (01 Dec 2015) by Alberto Guadagnini
AR by Jean-Christophe Calvet on behalf of the Authors (02 Dec 2015)  Author's response   Manuscript 
ED: Publish as is (03 Dec 2015) by Alberto Guadagnini
AR by Jean-Christophe Calvet on behalf of the Authors (03 Dec 2015)
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Short summary
The ensemble Kalman filter (EnKF) and simplified extended Kalman filter (SEKF) root-zone soil moisture analyses are compared when assimilating in situ surface observations. In the synthetic experiments, the EnKF performs best because it can stochastically capture the errors in the precipitation. The two methods perform similarly in the real experiments. During the summer period, both methods perform poorly as a result of nonlinearities in the land surface model.